******************************************************************************* Thu Jun 20 16:56:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values ******************************************************************************* Thu Jun 20 16:57:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0197555792e-06 0.00e+00 2.46e-04 1.000000e-04 4.000000e-01 10 3.1713181250e-07 -2.87e-01 2.46e-11 -1.172572e-05 6.225951e-01 After 10 iterations the fit converged. final sum of squares of residuals : 3.17132e-07 rel. change during last iteration : -2.86969e-06 degrees of freedom (FIT_NDF) : 132 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.90154e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.40251e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.17257e-05 +/- 6.031e-06 (51.43%) b = 0.622595 +/- 0.04395 (7.058%) correlation matrix of the fit parameters: a b a 1.000 b 0.065 1.000 ******************************************************************************* Thu Jun 20 16:57:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1713181250e-07 0.00e+00 4.29e-05 -1.172572e-05 6.225951e-01 1 3.1713181124e-07 -3.98e-04 4.29e-06 -1.172774e-05 6.223383e-01 After 1 iterations the fit converged. final sum of squares of residuals : 3.17132e-07 rel. change during last iteration : -3.9782e-09 degrees of freedom (FIT_NDF) : 132 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.90154e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.40251e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.17277e-05 +/- 6.032e-06 (51.43%) b = 0.622338 +/- 0.04391 (7.056%) correlation matrix of the fit parameters: a b a 1.000 b 0.065 1.000 ******************************************************************************* Thu Jun 20 16:58:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c) fitted parameters initialized with current variable values Warning: Initial value of parameter 'c' is zero. iter chisq delta/lim lambda a b c 0 3.1713181124e-07 0.00e+00 3.50e-05 -1.172774e-05 6.223383e-01 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Jun 20 16:58:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.1713178995e-07 0.00e+00 3.50e-05 -1.172763e-05 6.224116e-01 1.001000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Jun 20 16:58:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.1713178995e-07 0.00e+00 3.50e-05 -1.172763e-05 6.224116e-01 1.002001e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Jun 20 16:58:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.1712758571e-07 0.00e+00 3.42e-05 -1.172763e-05 6.224116e-01 2.000000e-01 4 3.1693227824e-07 -8.72e-01 3.42e-07 -1.198410e-05 6.087897e-01 2.282891e-01 After 4 iterations the fit converged. final sum of squares of residuals : 3.16932e-07 rel. change during last iteration : -8.71695e-06 degrees of freedom (FIT_NDF) : 131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.91867e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.41933e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.19841e-05 +/- 6.157e-06 (51.38%) b = 0.60879 +/- 0.08535 (14.02%) c = 0.228289 +/- 0.9819 (430.1%) correlation matrix of the fit parameters: a b c a 1.000 b 0.127 1.000 c -0.108 -0.864 1.000 ******************************************************************************* Thu Jun 20 16:58:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9121789840e-07 0.00e+00 7.09e-05 -1.198410e-05 1.217579e+00 2.282891e-01 22 1.1646374839e-08 -9.94e-11 7.09e+00 -6.910523e-05 1.440904e+00 -1.733480e+00 After 22 iterations the fit converged. final sum of squares of residuals : 1.16464e-08 rel. change during last iteration : -9.94346e-16 degrees of freedom (FIT_NDF) : 131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.42887e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 8.89036e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -6.91052e-05 +/- 1.164e-06 (1.685%) b = 1.4409 +/- 0.002815 (0.1954%) c = -1.73348 +/- 0.03295 (1.901%) correlation matrix of the fit parameters: a b c a 1.000 b -0.065 1.000 c 0.060 -0.865 1.000 ******************************************************************************* Thu Jun 20 16:59:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c)+d fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.9886384219e-08 0.00e+00 4.18e-04 -6.910523e-05 1.440904e+00 -1.733480e+00 -1.000000e-05 6 1.3676155629e-16 -3.38e-07 4.18e-10 -7.034209e-05 1.439342e+00 -1.720436e+00 9.376728e-06 After 6 iterations the fit converged. final sum of squares of residuals : 1.36762e-16 rel. change during last iteration : -3.37563e-12 degrees of freedom (FIT_NDF) : 130 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02568e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05201e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -7.03421e-05 +/- 1.271e-10 (0.0001807%) b = 1.43934 +/- 3.016e-07 (2.095e-05%) c = -1.72044 +/- 3.526e-06 (0.000205%) d = 9.37673e-06 +/- 8.912e-11 (0.0009504%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.062 1.000 c 0.057 -0.865 1.000 d -0.092 -0.047 0.033 1.000 ******************************************************************************* Thu Jun 20 16:59:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c)+d fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.3676155629e-16 0.00e+00 4.91e-04 -7.034209e-05 1.439342e+00 -1.720436e+00 1 1.3676155629e-16 -2.99e-07 4.91e-05 -7.034209e-05 1.439342e+00 -1.720436e+00 After 1 iterations the fit converged. final sum of squares of residuals : 1.36762e-16 rel. change during last iteration : -2.99349e-12 degrees of freedom (FIT_NDF) : 131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02175e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04398e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -7.03421e-05 +/- 1.261e-10 (0.0001793%) b = 1.43934 +/- 3.001e-07 (2.085e-05%) c = -1.72044 +/- 3.511e-06 (0.0002041%) correlation matrix of the fit parameters: a b c a 1.000 b -0.067 1.000 c 0.060 -0.865 1.000 ******************************************************************************* Thu Jun 20 16:59:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c)+d fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c e 0 1.3676155629e-16 0.00e+00 4.25e-04 -7.034209e-05 1.439342e+00 -1.720436e+00 1.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Jun 20 16:59:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c)+d fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3676155629e-16 0.00e+00 4.25e-04 -7.034209e-05 1.439342e+00 -1.720436e+00 9.376728e-06 1 1.3676155629e-16 0.00e+00 4.25e-04 -7.034209e-05 1.439342e+00 -1.720436e+00 9.376728e-06 After 1 iterations the fit converged. final sum of squares of residuals : 1.36762e-16 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 130 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02568e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05201e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -7.03421e-05 +/- 1.271e-10 (0.0001807%) b = 1.43934 +/- 3.016e-07 (2.095e-05%) c = -1.72044 +/- 3.526e-06 (0.000205%) d = 9.37673e-06 +/- 8.912e-11 (0.0009504%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.062 1.000 c 0.057 -0.865 1.000 d -0.092 -0.047 0.033 1.000 ******************************************************************************* Thu Jun 20 16:59:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c)+d fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3676155629e-16 0.00e+00 4.25e-04 -7.034209e-05 1.439342e+00 -1.720436e+00 9.376728e-06 1 1.3676155629e-16 0.00e+00 4.25e-04 -7.034209e-05 1.439342e+00 -1.720436e+00 9.376728e-06 After 1 iterations the fit converged. final sum of squares of residuals : 1.36762e-16 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 130 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02568e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05201e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -7.03421e-05 +/- 1.271e-10 (0.0001807%) b = 1.43934 +/- 3.016e-07 (2.095e-05%) c = -1.72044 +/- 3.526e-06 (0.000205%) d = 9.37673e-06 +/- 8.912e-11 (0.0009504%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.062 1.000 c 0.057 -0.865 1.000 d -0.092 -0.047 0.033 1.000 ******************************************************************************* Thu Jun 20 16:59:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 11 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c)+d fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.0430789098e-08 0.00e+00 4.25e-04 -7.034209e-05 1.439342e+00 -1.720436e+00 9.376728e-06 5 1.2978544215e-16 -5.23e-03 4.25e-09 -7.323537e-05 1.439342e+00 -1.888507e+00 9.376746e-06 After 5 iterations the fit converged. final sum of squares of residuals : 1.29785e-16 rel. change during last iteration : -5.22733e-08 degrees of freedom (FIT_NDF) : 130 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.99174e-10 variance of residuals (reduced chisquare) = WSSR/ndf : 9.9835e-19 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -7.32354e-05 +/- 1.239e-10 (0.0001692%) b = 1.43934 +/- 2.818e-07 (1.958e-05%) c = -1.88851 +/- 3.268e-06 (0.0001731%) d = 9.37675e-06 +/- 8.682e-11 (0.0009259%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.064 1.000 c 0.055 -0.863 1.000 d -0.093 -0.048 0.043 1.000 ******************************************************************************* Thu Jun 20 17:10:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values ******************************************************************************* Thu Jun 20 17:11:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.7405657458e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 10 6.4901875513e-17 -3.26e-07 2.23e-04 -8.443893e-05 1.439342e+00 -9.678755e-01 9.376740e-06 After 10 iterations the fit converged. final sum of squares of residuals : 6.49019e-17 rel. change during last iteration : -3.26277e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -8.44389e-05 +/- 1.724e-10 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 9.37674e-06 +/- 1.279e-10 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 17:11:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-09 0.00e+00 2.36e-04 -8.443893e-05 1.439342e+00 -9.678755e-01 9.376740e-06 5 6.4938115173e-17 -2.17e-03 2.36e-09 -9.393777e-05 1.439342e+00 -8.344413e-01 9.376738e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-17 rel. change during last iteration : -2.1665e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -9.39378e-05 +/- 1.723e-10 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 9.37674e-06 +/- 1.28e-10 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 17:11:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-09 0.00e+00 2.64e-04 -9.393777e-05 1.439342e+00 -8.344413e-01 9.376738e-06 5 6.4953580713e-17 -1.89e-03 2.64e-09 -8.576608e-05 1.439342e+00 -9.477245e-01 9.376744e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-17 rel. change during last iteration : -1.88567e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -8.57661e-05 +/- 1.724e-10 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 9.37674e-06 +/- 1.28e-10 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 17:11:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-09 0.00e+00 2.41e-04 -8.576608e-05 1.439342e+00 -9.477245e-01 9.376744e-06 5 6.4356251365e-17 -3.14e-02 2.41e-09 -7.749758e-05 1.439342e+00 -1.117908e+00 9.376745e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-17 rel. change during last iteration : -3.14018e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -7.74976e-05 +/- 1.721e-10 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 9.37675e-06 +/- 1.272e-10 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 17:11:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-09 0.00e+00 2.18e-04 -7.749758e-05 1.439342e+00 -1.117908e+00 9.376745e-06 5 6.4850022298e-17 -3.54e-04 2.18e-09 -7.229959e-05 1.439342e+00 -1.302231e+00 9.376747e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-17 rel. change during last iteration : -3.54256e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -7.22996e-05 +/- 1.737e-10 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 9.37675e-06 +/- 1.273e-10 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 17:11:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e-08 0.00e+00 2.06e-04 -7.229959e-05 1.439342e+00 -1.302231e+00 9.376747e-06 6 6.4356971396e-17 -1.90e-06 2.06e-10 -7.065581e-05 1.439342e+00 -1.734405e+00 9.376746e-06 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-17 rel. change during last iteration : -1.90485e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -7.06558e-05 +/- 1.767e-10 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 9.37675e-06 +/- 1.258e-10 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 17:11:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e-08 0.00e+00 2.11e-04 -7.065581e-05 1.439342e+00 -1.734405e+00 9.376746e-06 6 6.5503560212e-17 0.00e+00 2.11e-01 -8.279646e-05 1.439342e+00 -2.141233e+00 9.376742e-06 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-17 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -8.27965e-05 +/- 1.815e-10 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 9.37674e-06 +/- 1.262e-10 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 17:11:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-10 0.00e+00 2.60e-04 -8.279646e-05 1.439342e+00 -2.141233e+00 9.376742e-06 5 6.4832554885e-17 -1.83e-05 2.60e-09 -8.456042e-05 1.439342e+00 -2.173848e+00 9.376743e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-17 rel. change during last iteration : -1.83123e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -8.45604e-05 +/- 1.807e-10 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 9.37674e-06 +/- 1.255e-10 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 17:11:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-09 0.00e+00 2.66e-04 -8.456042e-05 1.439342e+00 -2.173848e+00 9.376743e-06 5 6.4969548528e-17 -6.78e-03 2.66e-09 -7.610079e-05 1.439342e+00 -1.986763e+00 9.376744e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-17 rel. change during last iteration : -6.78319e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -7.61008e-05 +/- 1.795e-10 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 9.37674e-06 +/- 1.259e-10 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 17:11:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-09 0.00e+00 2.34e-04 -7.610079e-05 1.439342e+00 -1.986763e+00 9.376744e-06 5 6.4924274001e-17 -3.20e-04 2.34e-09 -7.367229e-05 1.439342e+00 -1.905258e+00 9.376746e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-17 rel. change during last iteration : -3.19778e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -7.36723e-05 +/- 1.785e-10 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 9.37675e-06 +/- 1.261e-10 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 17:11:42 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-11 0.00e+00 2.25e-04 -7.367229e-05 1.439342e+00 -1.905258e+00 9.376746e-06 4 6.4570464226e-17 -9.31e-01 2.25e-08 -7.323538e-05 1.439342e+00 -1.888509e+00 9.376745e-06 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-17 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -7.32354e-05 +/- 1.778e-10 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 9.37674e-06 +/- 1.258e-10 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 17:11:42 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-09 0.00e+00 2.23e-04 -7.323538e-05 1.439342e+00 -1.888509e+00 9.376745e-06 5 6.5210671482e-17 -8.11e-04 2.23e-09 -7.034210e-05 1.439342e+00 -1.720436e+00 9.376746e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-17 rel. change during last iteration : -8.11079e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -7.03421e-05 +/- 1.769e-10 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 9.37675e-06 +/- 1.268e-10 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:11:42 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-09 0.00e+00 2.10e-04 -7.034210e-05 1.439342e+00 -1.720436e+00 9.376746e-06 5 6.4493787860e-17 -1.57e-04 2.10e-09 -6.959751e-05 1.439342e+00 -1.606854e+00 9.376746e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-17 rel. change during last iteration : -1.56774e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -6.95975e-05 +/- 1.748e-10 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 9.37675e-06 +/- 1.265e-10 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 17:11:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-09 0.00e+00 2.05e-04 -6.959751e-05 1.439342e+00 -1.606854e+00 9.376746e-06 5 6.5517497262e-17 -2.50e-03 2.05e-09 -7.061528e-05 1.439342e+00 -1.744970e+00 9.376744e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-17 rel. change during last iteration : -2.50491e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -7.06153e-05 +/- 1.773e-10 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 9.37674e-06 +/- 1.271e-10 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:11:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-10 0.00e+00 2.11e-04 -7.061528e-05 1.439342e+00 -1.744970e+00 9.376744e-06 5 6.4489158800e-17 -6.18e-05 2.11e-09 -7.140969e-05 1.439342e+00 -1.800596e+00 9.376743e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-17 rel. change during last iteration : -6.18176e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -7.14097e-05 +/- 1.763e-10 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 9.37674e-06 +/- 1.26e-10 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 17:11:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e-08 0.00e+00 2.15e-04 -7.140969e-05 1.439342e+00 -1.800596e+00 9.376743e-06 5 6.5567920136e-17 -4.70e-01 2.15e-09 -7.015599e-05 1.439342e+00 -1.436741e+00 9.376743e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-17 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -7.0156e-05 +/- 1.746e-10 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 9.37674e-06 +/- 1.281e-10 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 17:12:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.7405657458e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 10 6.4901875513e-17 -3.26e-07 2.23e-04 -8.443893e-05 1.439342e+00 -9.678755e-01 9.376740e-06 After 10 iterations the fit converged. final sum of squares of residuals : 6.49019e-17 rel. change during last iteration : -3.26277e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -8.44389e-05 +/- 1.724e-10 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 9.37674e-06 +/- 1.279e-10 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 17:12:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-09 0.00e+00 2.36e-04 -8.443893e-05 1.439342e+00 -9.678755e-01 9.376740e-06 5 6.4938115173e-17 -2.17e-03 2.36e-09 -9.393777e-05 1.439342e+00 -8.344413e-01 9.376738e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-17 rel. change during last iteration : -2.1665e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -9.39378e-05 +/- 1.723e-10 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 9.37674e-06 +/- 1.28e-10 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 17:12:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-09 0.00e+00 2.64e-04 -9.393777e-05 1.439342e+00 -8.344413e-01 9.376738e-06 5 6.4953580713e-17 -1.89e-03 2.64e-09 -8.576608e-05 1.439342e+00 -9.477245e-01 9.376744e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-17 rel. change during last iteration : -1.88567e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -8.57661e-05 +/- 1.724e-10 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 9.37674e-06 +/- 1.28e-10 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 17:12:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-09 0.00e+00 2.41e-04 -8.576608e-05 1.439342e+00 -9.477245e-01 9.376744e-06 5 6.4356251365e-17 -3.14e-02 2.41e-09 -7.749758e-05 1.439342e+00 -1.117908e+00 9.376745e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-17 rel. change during last iteration : -3.14018e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -7.74976e-05 +/- 1.721e-10 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 9.37675e-06 +/- 1.272e-10 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 17:13:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-09 0.00e+00 2.18e-04 -7.749758e-05 1.439342e+00 -1.117908e+00 9.376745e-06 5 6.4850022298e-17 -3.54e-04 2.18e-09 -7.229959e-05 1.439342e+00 -1.302231e+00 9.376747e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-17 rel. change during last iteration : -3.54256e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -7.22996e-05 +/- 1.737e-10 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 9.37675e-06 +/- 1.273e-10 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 17:13:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e-08 0.00e+00 2.06e-04 -7.229959e-05 1.439342e+00 -1.302231e+00 9.376747e-06 6 6.4356971396e-17 -1.90e-06 2.06e-10 -7.065581e-05 1.439342e+00 -1.734405e+00 9.376746e-06 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-17 rel. change during last iteration : -1.90485e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -7.06558e-05 +/- 1.767e-10 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 9.37675e-06 +/- 1.258e-10 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 17:13:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e-08 0.00e+00 2.11e-04 -7.065581e-05 1.439342e+00 -1.734405e+00 9.376746e-06 6 6.5503560212e-17 0.00e+00 2.11e-01 -8.279646e-05 1.439342e+00 -2.141233e+00 9.376742e-06 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-17 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -8.27965e-05 +/- 1.815e-10 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 9.37674e-06 +/- 1.262e-10 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 17:13:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-10 0.00e+00 2.60e-04 -8.279646e-05 1.439342e+00 -2.141233e+00 9.376742e-06 5 6.4832554885e-17 -1.83e-05 2.60e-09 -8.456042e-05 1.439342e+00 -2.173848e+00 9.376743e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-17 rel. change during last iteration : -1.83123e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -8.45604e-05 +/- 1.807e-10 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 9.37674e-06 +/- 1.255e-10 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 17:13:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-09 0.00e+00 2.66e-04 -8.456042e-05 1.439342e+00 -2.173848e+00 9.376743e-06 5 6.4969548528e-17 -6.78e-03 2.66e-09 -7.610079e-05 1.439342e+00 -1.986763e+00 9.376744e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-17 rel. change during last iteration : -6.78319e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -7.61008e-05 +/- 1.795e-10 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 9.37674e-06 +/- 1.259e-10 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 17:13:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-09 0.00e+00 2.34e-04 -7.610079e-05 1.439342e+00 -1.986763e+00 9.376744e-06 5 6.4924274001e-17 -3.20e-04 2.34e-09 -7.367229e-05 1.439342e+00 -1.905258e+00 9.376746e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-17 rel. change during last iteration : -3.19778e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -7.36723e-05 +/- 1.785e-10 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 9.37675e-06 +/- 1.261e-10 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 17:13:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-11 0.00e+00 2.25e-04 -7.367229e-05 1.439342e+00 -1.905258e+00 9.376746e-06 4 6.4570464226e-17 -9.31e-01 2.25e-08 -7.323538e-05 1.439342e+00 -1.888509e+00 9.376745e-06 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-17 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -7.32354e-05 +/- 1.778e-10 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 9.37674e-06 +/- 1.258e-10 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 17:13:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-09 0.00e+00 2.23e-04 -7.323538e-05 1.439342e+00 -1.888509e+00 9.376745e-06 5 6.5210671482e-17 -8.11e-04 2.23e-09 -7.034210e-05 1.439342e+00 -1.720436e+00 9.376746e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-17 rel. change during last iteration : -8.11079e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -7.03421e-05 +/- 1.769e-10 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 9.37675e-06 +/- 1.268e-10 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:13:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-09 0.00e+00 2.10e-04 -7.034210e-05 1.439342e+00 -1.720436e+00 9.376746e-06 5 6.4493787860e-17 -1.57e-04 2.10e-09 -6.959751e-05 1.439342e+00 -1.606854e+00 9.376746e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-17 rel. change during last iteration : -1.56774e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -6.95975e-05 +/- 1.748e-10 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 9.37675e-06 +/- 1.265e-10 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 17:13:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-09 0.00e+00 2.05e-04 -6.959751e-05 1.439342e+00 -1.606854e+00 9.376746e-06 5 6.5517497262e-17 -2.50e-03 2.05e-09 -7.061528e-05 1.439342e+00 -1.744970e+00 9.376744e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-17 rel. change during last iteration : -2.50491e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -7.06153e-05 +/- 1.773e-10 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 9.37674e-06 +/- 1.271e-10 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:13:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-10 0.00e+00 2.11e-04 -7.061528e-05 1.439342e+00 -1.744970e+00 9.376744e-06 5 6.4489158800e-17 -6.18e-05 2.11e-09 -7.140969e-05 1.439342e+00 -1.800596e+00 9.376743e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-17 rel. change during last iteration : -6.18176e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -7.14097e-05 +/- 1.763e-10 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 9.37674e-06 +/- 1.26e-10 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 17:13:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e-08 0.00e+00 2.15e-04 -7.140969e-05 1.439342e+00 -1.800596e+00 9.376743e-06 5 6.5567920136e-17 -4.70e-01 2.15e-09 -7.015599e-05 1.439342e+00 -1.436741e+00 9.376743e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-17 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -7.0156e-05 +/- 1.746e-10 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 9.37674e-06 +/- 1.281e-10 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 17:15:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 17:16:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 17:16:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 17:16:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 17:16:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 17:16:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 17:16:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 17:16:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 17:16:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 17:16:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 17:16:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 17:16:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 17:16:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:16:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 17:16:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:16:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 17:16:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 17:17:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 17:17:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 17:17:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 17:17:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 17:17:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 17:17:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 17:17:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 17:17:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 17:17:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 17:17:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 17:17:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 17:17:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:17:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 17:17:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:17:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 17:17:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 17:50:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 17:50:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 17:50:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 17:50:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 17:50:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 17:50:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 17:50:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 17:50:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 17:50:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 17:50:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 17:50:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 17:50:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:50:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 17:50:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:50:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 17:50:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 17:50:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 17:50:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 17:50:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 17:50:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 17:50:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 17:50:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 17:50:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 17:50:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 17:50:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 17:50:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 17:50:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 17:50:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:51:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 17:51:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:51:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 17:51:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 17:51:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 17:51:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 17:51:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 17:51:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 17:51:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 17:51:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 17:51:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 17:51:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 17:51:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 17:51:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 17:51:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 17:51:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:51:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 17:51:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:51:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 17:51:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 21:12:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 21:12:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.1476955071e+01 0.00e+00 0.00e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 BREAK: Singular matrix in Givens() ******************************************************************************* Thu Jun 20 21:12:46 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 21:12:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Thu Jun 20 21:12:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 21:12:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Thu Jun 20 21:12:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 21:12:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Thu Jun 20 21:12:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 21:12:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Thu Jun 20 21:12:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 21:12:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Thu Jun 20 21:12:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 21:12:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Thu Jun 20 21:12:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 21:12:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Thu Jun 20 21:12:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 21:12:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Thu Jun 20 21:12:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 21:12:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Thu Jun 20 21:12:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 21:12:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Thu Jun 20 21:12:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 21:12:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Thu Jun 20 21:13:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 21:13:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Thu Jun 20 21:13:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 21:13:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Thu Jun 20 21:13:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 21:13:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Thu Jun 20 21:13:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 21:13:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Thu Jun 20 21:13:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 21:13:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Thu Jun 20 21:16:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 21:16:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Thu Jun 20 21:16:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 21:16:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Thu Jun 20 21:16:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 21:16:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Thu Jun 20 21:16:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 21:16:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Thu Jun 20 21:16:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 21:16:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Thu Jun 20 21:16:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 21:16:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Thu Jun 20 21:16:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 21:16:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Thu Jun 20 21:17:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 21:17:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Thu Jun 20 21:17:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 21:17:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Thu Jun 20 21:17:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 21:17:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Thu Jun 20 21:17:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 21:17:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Thu Jun 20 21:17:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 21:17:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Thu Jun 20 21:17:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 21:17:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Thu Jun 20 21:17:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 21:17:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Thu Jun 20 21:17:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 21:17:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Thu Jun 20 21:17:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 21:17:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Thu Jun 20 21:18:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 21:18:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Thu Jun 20 21:18:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 21:18:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Thu Jun 20 21:18:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 21:18:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Thu Jun 20 21:18:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 21:18:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Thu Jun 20 21:18:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 21:18:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Thu Jun 20 21:18:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 21:18:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Thu Jun 20 21:18:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 21:18:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Thu Jun 20 21:18:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 21:18:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Thu Jun 20 21:18:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 21:18:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Thu Jun 20 21:18:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 21:18:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Thu Jun 20 21:18:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 21:18:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Thu Jun 20 21:18:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 21:18:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Thu Jun 20 21:18:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 21:18:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Thu Jun 20 21:18:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 21:18:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Thu Jun 20 21:18:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 21:18:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Thu Jun 20 21:18:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 21:18:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Fri Jun 21 08:05:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Fri Jun 21 08:05:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Fri Jun 21 08:05:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Fri Jun 21 08:05:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Fri Jun 21 08:05:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Fri Jun 21 08:06:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Fri Jun 21 08:06:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:06:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Fri Jun 21 08:06:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Fri Jun 21 08:06:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Fri Jun 21 08:06:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Fri Jun 21 08:06:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Fri Jun 21 08:06:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Fri Jun 21 08:06:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Fri Jun 21 08:06:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Fri Jun 21 08:06:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:06:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Fri Jun 21 08:06:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Fri Jun 21 08:06:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Fri Jun 21 08:06:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Fri Jun 21 08:06:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Fri Jun 21 08:06:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Fri Jun 21 08:06:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:06:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Fri Jun 21 08:06:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Fri Jun 21 08:06:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Fri Jun 21 08:06:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:06:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Fri Jun 21 08:06:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Fri Jun 21 08:06:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Fri Jun 21 08:06:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Fri Jun 21 08:06:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Fri Jun 21 08:07:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Fri Jun 21 08:07:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Fri Jun 21 08:07:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Fri Jun 21 08:07:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Fri Jun 21 08:07:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Fri Jun 21 08:07:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Fri Jun 21 08:07:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:07:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Fri Jun 21 08:07:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Fri Jun 21 08:07:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Fri Jun 21 08:07:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Fri Jun 21 08:07:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Fri Jun 21 08:07:42 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Fri Jun 21 08:07:42 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Fri Jun 21 08:07:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Fri Jun 21 08:07:44 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:07:44 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Fri Jun 21 08:07:45 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Fri Jun 21 08:07:45 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Fri Jun 21 08:07:46 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Fri Jun 21 08:07:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Fri Jun 21 08:07:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Fri Jun 21 08:07:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:07:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Fri Jun 21 08:07:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Fri Jun 21 08:07:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Fri Jun 21 08:07:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:07:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Fri Jun 21 08:07:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Fri Jun 21 08:07:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Fri Jun 21 08:07:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Fri Jun 21 08:07:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Fri Jun 21 08:10:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Fri Jun 21 08:10:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Fri Jun 21 08:10:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Fri Jun 21 08:10:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Fri Jun 21 08:10:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Fri Jun 21 08:10:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Fri Jun 21 08:10:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:10:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Fri Jun 21 08:10:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Fri Jun 21 08:10:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Fri Jun 21 08:10:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Fri Jun 21 08:10:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Fri Jun 21 08:10:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Fri Jun 21 08:10:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Fri Jun 21 08:10:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Fri Jun 21 08:10:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:10:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Fri Jun 21 08:10:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Fri Jun 21 08:10:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Fri Jun 21 08:10:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Fri Jun 21 08:10:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Fri Jun 21 08:10:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Fri Jun 21 08:10:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:10:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Fri Jun 21 08:10:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Fri Jun 21 08:10:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Fri Jun 21 08:10:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:10:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Fri Jun 21 08:10:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Fri Jun 21 08:10:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Fri Jun 21 08:10:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Fri Jun 21 08:10:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Fri Jun 21 08:16:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Fri Jun 21 08:16:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Fri Jun 21 08:16:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Fri Jun 21 08:16:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Fri Jun 21 08:16:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Fri Jun 21 08:16:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Fri Jun 21 08:16:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:16:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Fri Jun 21 08:16:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Fri Jun 21 08:16:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Fri Jun 21 08:16:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Fri Jun 21 08:16:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Fri Jun 21 08:16:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Fri Jun 21 08:16:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Fri Jun 21 08:16:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Fri Jun 21 08:16:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:16:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Fri Jun 21 08:16:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Fri Jun 21 08:16:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Fri Jun 21 08:16:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Fri Jun 21 08:16:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Fri Jun 21 08:16:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Fri Jun 21 08:16:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:16:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Fri Jun 21 08:16:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Fri Jun 21 08:16:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Fri Jun 21 08:16:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:16:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Fri Jun 21 08:16:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Fri Jun 21 08:16:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Fri Jun 21 08:16:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Fri Jun 21 08:16:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Fri Jun 21 08:19:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Fri Jun 21 08:19:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Fri Jun 21 08:19:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Fri Jun 21 08:19:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Fri Jun 21 08:19:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Fri Jun 21 08:19:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Fri Jun 21 08:19:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:19:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Fri Jun 21 08:19:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Fri Jun 21 08:19:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Fri Jun 21 08:19:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Fri Jun 21 08:19:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Fri Jun 21 08:19:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Fri Jun 21 08:19:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Fri Jun 21 08:19:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Fri Jun 21 08:19:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:19:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Fri Jun 21 08:19:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Fri Jun 21 08:19:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Fri Jun 21 08:19:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Fri Jun 21 08:19:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Fri Jun 21 08:19:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Fri Jun 21 08:19:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:19:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Fri Jun 21 08:19:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Fri Jun 21 08:19:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Fri Jun 21 08:19:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:19:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Fri Jun 21 08:19:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Fri Jun 21 08:19:42 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Fri Jun 21 08:19:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Fri Jun 21 08:19:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Fri Jun 21 08:30:46 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Fri Jun 21 08:30:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Fri Jun 21 08:30:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Fri Jun 21 08:30:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Fri Jun 21 08:30:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Fri Jun 21 08:30:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Fri Jun 21 08:30:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:30:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Fri Jun 21 08:30:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Fri Jun 21 08:30:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Fri Jun 21 08:30:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Fri Jun 21 08:30:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Fri Jun 21 08:30:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Fri Jun 21 08:30:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Fri Jun 21 08:30:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Fri Jun 21 08:30:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:30:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Fri Jun 21 08:30:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Fri Jun 21 08:30:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Fri Jun 21 08:30:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Fri Jun 21 08:30:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Fri Jun 21 08:31:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Fri Jun 21 08:31:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:31:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Fri Jun 21 08:31:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Fri Jun 21 08:31:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Fri Jun 21 08:31:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:31:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Fri Jun 21 08:31:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Fri Jun 21 08:31:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Fri Jun 21 08:31:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Fri Jun 21 08:31:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Fri Jun 21 08:31:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Fri Jun 21 08:31:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Fri Jun 21 08:31:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Fri Jun 21 08:31:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Fri Jun 21 08:31:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Fri Jun 21 08:31:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Fri Jun 21 08:31:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:31:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Fri Jun 21 08:31:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Fri Jun 21 08:31:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Fri Jun 21 08:31:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Fri Jun 21 08:31:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Fri Jun 21 08:31:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Fri Jun 21 08:31:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Fri Jun 21 08:31:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Fri Jun 21 08:31:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:31:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Fri Jun 21 08:31:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Fri Jun 21 08:31:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Fri Jun 21 08:31:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Fri Jun 21 08:31:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Fri Jun 21 08:31:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Fri Jun 21 08:31:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:31:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Fri Jun 21 08:31:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Fri Jun 21 08:31:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Fri Jun 21 08:31:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:31:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Fri Jun 21 08:31:42 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Fri Jun 21 08:31:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Fri Jun 21 08:31:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Fri Jun 21 08:31:44 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Fri Jun 21 08:33:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Fri Jun 21 08:33:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Fri Jun 21 08:33:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Fri Jun 21 08:33:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Fri Jun 21 08:33:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Fri Jun 21 08:33:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Fri Jun 21 08:33:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:33:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Fri Jun 21 08:33:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Fri Jun 21 08:33:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Fri Jun 21 08:33:42 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Fri Jun 21 08:33:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Fri Jun 21 08:33:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Fri Jun 21 08:33:44 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Fri Jun 21 08:33:44 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Fri Jun 21 08:33:45 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:33:46 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Fri Jun 21 08:33:46 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Fri Jun 21 08:33:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Fri Jun 21 08:33:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Fri Jun 21 08:33:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Fri Jun 21 08:33:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Fri Jun 21 08:33:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:33:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Fri Jun 21 08:33:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Fri Jun 21 08:33:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Fri Jun 21 08:33:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:33:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Fri Jun 21 08:33:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Fri Jun 21 08:33:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Fri Jun 21 08:33:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Fri Jun 21 08:33:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:30:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:30:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:30:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:30:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:30:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:30:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:30:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:30:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:31:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:31:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:31:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:31:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:31:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:31:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:31:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:31:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:31:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:31:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:31:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:31:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:31:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:31:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:31:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:31:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:31:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:31:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:31:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:31:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:31:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:31:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:31:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:31:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:37:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:37:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:37:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:37:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:37:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:37:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:37:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:37:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:37:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:37:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:37:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:37:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:37:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:37:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:37:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:37:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:37:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:37:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:37:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:37:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:37:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:37:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:37:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:37:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:37:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:37:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:37:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:37:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:37:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:37:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:37:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:38:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:42:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:42:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:42:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:42:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:42:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:42:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:42:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:42:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:42:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:42:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:42:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:42:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:42:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:42:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:42:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:42:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:42:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:42:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:42:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:42:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:42:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:42:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:42:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:42:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:42:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:42:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:42:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:42:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:42:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:42:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:42:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:42:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:45:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:45:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:45:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:45:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:45:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:45:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:45:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:45:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:45:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:45:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:45:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:45:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:45:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:45:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:45:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:45:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:45:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:45:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:45:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:45:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:45:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:45:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:45:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:45:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:45:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:45:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:45:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:45:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:45:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:45:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:45:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:45:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:51:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:51:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:51:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:51:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:51:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:51:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:51:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:51:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:51:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:51:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:51:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:51:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:51:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:51:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:51:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:51:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:51:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:51:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:51:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:51:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:51:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:51:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:51:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:51:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:52:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:52:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:52:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:52:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:52:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:52:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:52:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:52:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:54:45 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:54:45 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:54:46 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:54:46 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:54:46 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:54:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:54:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:54:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:54:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:54:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:54:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:54:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:54:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:54:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:54:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:54:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:54:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:54:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:54:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:54:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:54:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:54:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:54:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:54:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:54:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:54:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:54:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:54:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:54:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:54:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:54:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:54:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:56:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:56:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:56:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:56:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:56:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:56:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:57:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:57:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:57:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:57:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:57:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:57:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:57:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:57:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:57:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:57:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:57:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:57:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:57:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:57:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:57:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:57:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:57:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:57:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:57:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:57:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:57:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:57:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:57:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:57:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:57:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:57:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:58:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:58:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:58:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:58:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:58:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:58:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:58:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:58:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:58:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:58:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:58:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:58:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:58:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:58:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:58:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:58:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:58:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:58:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:58:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:58:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:58:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:58:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:58:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:58:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:58:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:58:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:58:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:58:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:58:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:58:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:58:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:58:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:58:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:58:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:58:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:58:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:58:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:58:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:58:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:58:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:58:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:58:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:58:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:58:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:58:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:58:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:58:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:58:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:58:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:58:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:58:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:58:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:59:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:59:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:59:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:59:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:59:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:59:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:59:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:59:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:59:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:59:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:59:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:59:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 09:01:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 09:01:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 09:01:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 09:01:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 09:01:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 09:01:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 09:01:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 09:01:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 09:01:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 09:01:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 09:01:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 09:01:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 09:01:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 09:01:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 09:01:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 09:01:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 09:01:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 09:01:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 09:01:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 09:01:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 09:01:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 09:01:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 09:01:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 09:01:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 09:01:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 09:01:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 09:01:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 09:01:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 09:01:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 09:01:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 09:01:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 09:01:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 09:24:10 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6322391849e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 4 6.9333303846e+00 -4.18e-01 2.23e-04 -2.177317e-01 1.419353e+00 -1.444275e+00 -3.550462e-03 After 4 iterations the fit converged. final sum of squares of residuals : 6.93333 rel. change during last iteration : -4.18068e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.331742 variance of residuals (reduced chisquare) = WSSR/ndf : 0.110053 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.217732 +/- 0.05755 (26.43%) b[1] = 1.41935 +/- 0.09369 (6.601%) c[1] = -1.44427 +/- 0.5264 (36.45%) d[1] = -0.00355046 +/- 0.04145 (1167%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.026 1.000 c[1] 0.054 -0.863 1.000 d[1] -0.104 0.158 -0.091 1.000 ******************************************************************************* Sun Jun 23 09:24:11 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956843e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.4167092044e-12 0.00e+00 3.04e+02 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.41671e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93223e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.59795e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.114e-08 (5.114e-06%) bb[1] = 1.43934 +/- 1.759e-08 (1.222e-06%) cc[1] = -3.14159 +/- 1.028e-07 (3.273e-06%) dd[1] = 2.06134e-08 +/- 3.65e-08 (177.1%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 09:24:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 6.9116530916e+00 0.00e+00 6.31e-01 -2.177317e-01 1.419353e+00 -1.444275e+00 -3.550462e-03 2 6.9114494546e+00 -4.93e-01 6.31e-03 -2.177071e-01 1.415969e+00 -1.422218e+00 -3.682011e-03 After 2 iterations the fit converged. final sum of squares of residuals : 6.91145 rel. change during last iteration : -4.9251e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.331218 variance of residuals (reduced chisquare) = WSSR/ndf : 0.109706 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.217707 +/- 0.05738 (26.36%) b[2] = 1.41597 +/- 0.09404 (6.641%) c[2] = -1.42222 +/- 0.5296 (37.23%) d[2] = -0.00368201 +/- 0.04142 (1125%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.027 1.000 c[2] 0.055 -0.865 1.000 d[2] -0.105 0.164 -0.099 1.000 ******************************************************************************* Sun Jun 23 09:24:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6388036180e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.5651909860e-12 -5.52e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.56519e-12 rel. change during last iteration : -5.52133e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97214e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83364e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.187e-08 (5.187e-06%) bb[2] = 1.43934 +/- 1.777e-08 (1.235e-06%) cc[2] = -3.14159 +/- 1.041e-07 (3.314e-06%) dd[2] = 2.06134e-08 +/- 3.699e-08 (179.5%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 09:24:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 6.8982942027e+00 0.00e+00 6.30e-01 -2.177071e-01 1.415969e+00 -1.422218e+00 -3.682011e-03 2 6.8981003049e+00 -8.30e-01 6.30e-03 -2.177560e-01 1.412859e+00 -1.402128e+00 -3.928285e-03 After 2 iterations the fit converged. final sum of squares of residuals : 6.8981 rel. change during last iteration : -8.30253e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.330898 variance of residuals (reduced chisquare) = WSSR/ndf : 0.109494 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.217756 +/- 0.05726 (26.29%) b[3] = 1.41286 +/- 0.0944 (6.682%) c[3] = -1.40213 +/- 0.5327 (38%) d[3] = -0.00392829 +/- 0.04141 (1054%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.055 -0.867 1.000 d[3] -0.105 0.171 -0.107 1.000 ******************************************************************************* Sun Jun 23 09:24:14 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 4.9693653747e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 4.9362077554e-12 -2.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.93621e-12 rel. change during last iteration : -2.72738e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79915e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.83525e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.889e-08 (4.889e-06%) bb[3] = 1.43934 +/- 1.669e-08 (1.16e-06%) cc[3] = -3.14159 +/- 9.797e-08 (3.118e-06%) dd[3] = 2.06134e-08 +/- 3.483e-08 (169%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 09:24:14 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 6.8935073656e+00 0.00e+00 6.29e-01 -2.177560e-01 1.412859e+00 -1.402128e+00 -3.928285e-03 4 6.8931929888e+00 -2.94e-03 6.29e-05 -2.176686e-01 1.409509e+00 -1.382285e+00 -5.694244e-03 After 4 iterations the fit converged. final sum of squares of residuals : 6.89319 rel. change during last iteration : -2.93688e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.330781 variance of residuals (reduced chisquare) = WSSR/ndf : 0.109416 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.217669 +/- 0.05717 (26.27%) b[4] = 1.40951 +/- 0.09487 (6.731%) c[4] = -1.38228 +/- 0.5366 (38.82%) d[4] = -0.00569424 +/- 0.04143 (727.7%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.055 -0.868 1.000 d[4] -0.105 0.177 -0.115 1.000 ******************************************************************************* Sun Jun 23 09:24:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.1987042642e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.1061540744e-12 -2.63e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.10615e-12 rel. change during last iteration : -2.63263e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.84693e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.10501e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 4.976e-08 (4.976e-06%) bb[4] = 1.43934 +/- 1.693e-08 (1.176e-06%) cc[4] = -3.14159 +/- 9.954e-08 (3.169e-06%) dd[4] = 2.06134e-08 +/- 3.542e-08 (171.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 09:24:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 6.8965175046e+00 0.00e+00 6.28e-01 -2.176686e-01 1.409509e+00 -1.382285e+00 -5.694244e-03 1 6.8964493845e+00 -9.88e-01 6.28e-02 -2.178481e-01 1.408144e+00 -1.373283e+00 -5.696940e-03 After 1 iterations the fit converged. final sum of squares of residuals : 6.89645 rel. change during last iteration : -9.87757e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.330859 variance of residuals (reduced chisquare) = WSSR/ndf : 0.109467 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.217848 +/- 0.05713 (26.22%) b[5] = 1.40814 +/- 0.09521 (6.762%) c[5] = -1.37328 +/- 0.5393 (39.27%) d[5] = -0.00569694 +/- 0.04147 (728%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.029 1.000 c[5] 0.055 -0.870 1.000 d[5] -0.106 0.182 -0.120 1.000 ******************************************************************************* Sun Jun 23 09:24:16 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.2770414866e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 4.8922455489e-12 -1.46e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.89225e-12 rel. change during last iteration : -1.46231e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78666e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.76547e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.874e-08 (4.874e-06%) bb[5] = 1.43934 +/- 1.653e-08 (1.148e-06%) cc[5] = -3.14159 +/- 9.734e-08 (3.098e-06%) dd[5] = 2.06134e-08 +/- 3.466e-08 (168.1%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 09:24:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 6.9067937486e+00 0.00e+00 6.28e-01 -2.178481e-01 1.408144e+00 -1.373283e+00 -5.696940e-03 2 6.9066558629e+00 -7.38e-01 6.28e-03 -2.180993e-01 1.405569e+00 -1.356915e+00 -6.053738e-03 After 2 iterations the fit converged. final sum of squares of residuals : 6.90666 rel. change during last iteration : -7.37653e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.331103 variance of residuals (reduced chisquare) = WSSR/ndf : 0.109629 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.218099 +/- 0.0571 (26.18%) b[6] = 1.40557 +/- 0.09564 (6.804%) c[6] = -1.35692 +/- 0.5427 (40%) d[6] = -0.00605374 +/- 0.04154 (686.2%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.029 1.000 c[6] 0.055 -0.871 1.000 d[6] -0.106 0.187 -0.127 1.000 ******************************************************************************* Sun Jun 23 09:24:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.9565953042e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.5885279526e-12 -9.25e-03 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.58853e-12 rel. change during last iteration : -9.24546e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97837e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.87068e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.213e-08 (5.213e-06%) bb[6] = 1.43934 +/- 1.762e-08 (1.224e-06%) cc[6] = -3.14159 +/- 1.039e-07 (3.308e-06%) dd[6] = 2.06134e-08 +/- 3.703e-08 (179.7%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 09:24:18 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 6.9223508985e+00 0.00e+00 6.28e-01 -2.180993e-01 1.405569e+00 -1.356915e+00 -6.053738e-03 1 6.9223291832e+00 -3.14e-01 6.28e-02 -2.183544e-01 1.404853e+00 -1.352306e+00 -6.059683e-03 After 1 iterations the fit converged. final sum of squares of residuals : 6.92233 rel. change during last iteration : -3.13701e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.331479 variance of residuals (reduced chisquare) = WSSR/ndf : 0.109878 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.218354 +/- 0.05712 (26.16%) b[7] = 1.40485 +/- 0.096 (6.833%) c[7] = -1.35231 +/- 0.5454 (40.33%) d[7] = -0.00605968 +/- 0.04161 (686.7%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.029 1.000 c[7] 0.055 -0.872 1.000 d[7] -0.107 0.191 -0.131 1.000 ******************************************************************************* Sun Jun 23 09:24:19 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3307051396e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.2957260419e-12 -1.88e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.29573e-12 rel. change during last iteration : -1.87947e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8993e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.40591e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.079e-08 (5.079e-06%) bb[7] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[7] = -3.14159 +/- 1.011e-07 (3.217e-06%) dd[7] = 2.06134e-08 +/- 3.604e-08 (174.8%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 09:24:19 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 6.9415165876e+00 0.00e+00 6.28e-01 -2.183544e-01 1.404853e+00 -1.352306e+00 -6.059683e-03 1 6.9414974290e+00 -2.76e-01 6.28e-02 -2.186713e-01 1.404224e+00 -1.348374e+00 -6.067087e-03 After 1 iterations the fit converged. final sum of squares of residuals : 6.9415 rel. change during last iteration : -2.76001e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.331937 variance of residuals (reduced chisquare) = WSSR/ndf : 0.110182 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.218671 +/- 0.05715 (26.13%) b[8] = 1.40422 +/- 0.09635 (6.861%) c[8] = -1.34837 +/- 0.5479 (40.64%) d[8] = -0.00606709 +/- 0.04169 (687.2%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.029 1.000 c[8] 0.055 -0.874 1.000 d[8] -0.108 0.194 -0.135 1.000 ******************************************************************************* Sun Jun 23 09:24:20 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4845876267e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.4392624181e-12 -4.20e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.43926e-12 rel. change during last iteration : -4.2011e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93832e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.63375e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.151e-08 (5.151e-06%) bb[8] = 1.43934 +/- 1.729e-08 (1.201e-06%) cc[8] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[8] = 2.06134e-08 +/- 3.652e-08 (177.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 09:24:20 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 6.9619964341e+00 0.00e+00 6.29e-01 -2.186713e-01 1.404224e+00 -1.348374e+00 -6.067087e-03 1 6.9619874915e+00 -1.28e-01 6.29e-02 -2.190107e-01 1.403971e+00 -1.347003e+00 -6.075323e-03 After 1 iterations the fit converged. final sum of squares of residuals : 6.96199 rel. change during last iteration : -1.28449e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.332427 variance of residuals (reduced chisquare) = WSSR/ndf : 0.110508 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.219011 +/- 0.05719 (26.11%) b[9] = 1.40397 +/- 0.09667 (6.885%) c[9] = -1.347 +/- 0.5503 (40.85%) d[9] = -0.00607532 +/- 0.04178 (687.7%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.030 1.000 c[9] 0.055 -0.874 1.000 d[9] -0.109 0.197 -0.138 1.000 ******************************************************************************* Sun Jun 23 09:24:21 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.5042352938e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.1987860181e-12 -6.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.19879e-12 rel. change during last iteration : -6.53875e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87264e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.25204e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.039e-08 (5.039e-06%) bb[9] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[9] = -3.14159 +/- 9.996e-08 (3.182e-06%) dd[9] = 2.06134e-08 +/- 3.569e-08 (173.2%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 09:24:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 6.9815592778e+00 0.00e+00 6.30e-01 -2.190107e-01 1.403971e+00 -1.347003e+00 -6.075323e-03 1 6.9815486797e+00 -1.52e-01 6.30e-02 -2.193572e-01 1.404193e+00 -1.348872e+00 -6.083716e-03 After 1 iterations the fit converged. final sum of squares of residuals : 6.98155 rel. change during last iteration : -1.51801e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.332894 variance of residuals (reduced chisquare) = WSSR/ndf : 0.110818 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.219357 +/- 0.05723 (26.09%) b[10] = 1.40419 +/- 0.09695 (6.904%) c[10] = -1.34887 +/- 0.5523 (40.95%) d[10] = -0.00608372 +/- 0.04185 (688%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.030 1.000 c[10] 0.055 -0.875 1.000 d[10] -0.110 0.199 -0.141 1.000 ******************************************************************************* Sun Jun 23 09:24:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.8894783537e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.5483805313e-12 -4.52e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.54838e-12 rel. change during last iteration : -4.51732e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96765e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.80695e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.209e-08 (5.209e-06%) bb[10] = 1.43934 +/- 1.737e-08 (1.207e-06%) cc[10] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[10] = 2.06134e-08 +/- 3.687e-08 (178.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 09:24:23 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 6.9980358092e+00 0.00e+00 6.31e-01 -2.193572e-01 1.404193e+00 -1.348872e+00 -6.083716e-03 1 6.9980049134e+00 -4.41e-01 6.31e-02 -2.197011e-01 1.404919e+00 -1.354183e+00 -6.091581e-03 After 1 iterations the fit converged. final sum of squares of residuals : 6.998 rel. change during last iteration : -4.41494e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.333286 variance of residuals (reduced chisquare) = WSSR/ndf : 0.111079 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.219701 +/- 0.05726 (26.06%) b[11] = 1.40492 +/- 0.09717 (6.916%) c[11] = -1.35418 +/- 0.554 (40.91%) d[11] = -0.00609158 +/- 0.04191 (688.1%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.031 1.000 c[11] 0.055 -0.876 1.000 d[11] -0.111 0.200 -0.143 1.000 ******************************************************************************* Sun Jun 23 09:24:24 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.5601905135e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.3047084589e-12 -4.16e-04 3.26e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.30471e-12 rel. change during last iteration : -4.1644e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90175e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42017e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.097e-08 (5.097e-06%) bb[11] = 1.43934 +/- 1.694e-08 (1.177e-06%) cc[11] = -3.14159 +/- 1.008e-07 (3.208e-06%) dd[11] = 2.06134e-08 +/- 3.604e-08 (174.8%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 09:24:24 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 7.0094703752e+00 0.00e+00 6.33e-01 -2.197011e-01 1.404919e+00 -1.354183e+00 -6.091581e-03 2 7.0093445586e+00 -7.91e-01 6.33e-03 -2.200747e-01 1.406772e+00 -1.367548e+00 -6.494231e-03 After 2 iterations the fit converged. final sum of squares of residuals : 7.00934 rel. change during last iteration : -7.91395e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.333556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.111259 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.220075 +/- 0.05728 (26.03%) b[12] = 1.40677 +/- 0.09724 (6.913%) c[12] = -1.36755 +/- 0.5546 (40.55%) d[12] = -0.00649423 +/- 0.04195 (645.9%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.032 1.000 c[12] 0.056 -0.876 1.000 d[12] -0.113 0.199 -0.142 1.000 ******************************************************************************* Sun Jun 23 09:24:25 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7341116969e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.6860795284e-12 0.00e+00 3.27e+02 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.68608e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.00425e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.02552e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.281e-08 (5.281e-06%) bb[12] = 1.43934 +/- 1.75e-08 (1.215e-06%) cc[12] = -3.14159 +/- 1.043e-07 (3.318e-06%) dd[12] = 2.06134e-08 +/- 3.731e-08 (181%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 09:24:26 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 7.0141752667e+00 0.00e+00 6.34e-01 -2.200747e-01 1.406772e+00 -1.367548e+00 -6.494231e-03 1 7.0141076324e+00 -9.64e-01 6.34e-02 -2.203219e-01 1.407983e+00 -1.376324e+00 -6.496926e-03 After 1 iterations the fit converged. final sum of squares of residuals : 7.01411 rel. change during last iteration : -9.64261e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.333669 variance of residuals (reduced chisquare) = WSSR/ndf : 0.111335 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.220322 +/- 0.05727 (25.99%) b[13] = 1.40798 +/- 0.09738 (6.916%) c[13] = -1.37632 +/- 0.5556 (40.37%) d[13] = -0.00649693 +/- 0.04197 (646%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.033 1.000 c[13] 0.056 -0.877 1.000 d[13] -0.115 0.199 -0.143 1.000 ******************************************************************************* Sun Jun 23 09:24:26 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4500555478e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.2986857690e-12 -4.88e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.29869e-12 rel. change during last iteration : -4.87731e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90011e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.41061e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.101e-08 (5.101e-06%) bb[13] = 1.43934 +/- 1.685e-08 (1.17e-06%) cc[13] = -3.14159 +/- 1.005e-07 (3.201e-06%) dd[13] = 2.06134e-08 +/- 3.6e-08 (174.7%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 09:24:27 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 7.0112626166e+00 0.00e+00 6.36e-01 -2.203219e-01 1.407983e+00 -1.376324e+00 -6.496926e-03 2 7.0110685470e+00 -4.21e-01 6.36e-03 -2.207161e-01 1.411237e+00 -1.398762e+00 -6.462384e-03 After 2 iterations the fit converged. final sum of squares of residuals : 7.01107 rel. change during last iteration : -4.21282e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.333597 variance of residuals (reduced chisquare) = WSSR/ndf : 0.111287 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.220716 +/- 0.05725 (25.94%) b[14] = 1.41124 +/- 0.09725 (6.891%) c[14] = -1.39876 +/- 0.5548 (39.66%) d[14] = -0.00646238 +/- 0.04195 (649.1%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.035 1.000 c[14] 0.058 -0.877 1.000 d[14] -0.117 0.196 -0.140 1.000 ******************************************************************************* Sun Jun 23 09:24:28 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7450011449e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.5209995874e-12 -7.57e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.521e-12 rel. change during last iteration : -7.57423e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96032e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76349e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.211e-08 (5.211e-06%) bb[14] = 1.43934 +/- 1.715e-08 (1.192e-06%) cc[14] = -3.14159 +/- 1.025e-07 (3.264e-06%) dd[14] = 2.06134e-08 +/- 3.674e-08 (178.3%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 09:24:28 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 6.9998366276e+00 0.00e+00 6.38e-01 -2.207161e-01 1.411237e+00 -1.398762e+00 -6.462384e-03 2 6.9996705810e+00 -5.17e-01 6.38e-03 -2.210415e-01 1.414158e+00 -1.418963e+00 -6.233936e-03 After 2 iterations the fit converged. final sum of squares of residuals : 6.99967 rel. change during last iteration : -5.16998e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.333325 variance of residuals (reduced chisquare) = WSSR/ndf : 0.111106 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.221042 +/- 0.05719 (25.87%) b[15] = 1.41416 +/- 0.09711 (6.867%) c[15] = -1.41896 +/- 0.554 (39.04%) d[15] = -0.00623394 +/- 0.0419 (672.2%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.037 1.000 c[15] 0.059 -0.877 1.000 d[15] -0.120 0.194 -0.138 1.000 ******************************************************************************* Sun Jun 23 09:24:29 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.5983043130e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.5070662445e-12 0.00e+00 3.29e+03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.50707e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95658e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.74137e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.208e-08 (5.208e-06%) bb[15] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[15] = -3.14159 +/- 1.023e-07 (3.257e-06%) dd[15] = 2.06134e-08 +/- 3.669e-08 (178%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 09:24:29 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 6.9800987511e+00 0.00e+00 6.40e-01 -2.210415e-01 1.414158e+00 -1.418963e+00 -6.233936e-03 2 6.9798741113e+00 -9.01e-01 6.40e-03 -2.213685e-01 1.417458e+00 -1.441672e+00 -5.873547e-03 After 2 iterations the fit converged. final sum of squares of residuals : 6.97987 rel. change during last iteration : -9.00865e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.332854 variance of residuals (reduced chisquare) = WSSR/ndf : 0.110792 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.221368 +/- 0.05711 (25.8%) b[16] = 1.41746 +/- 0.09688 (6.835%) c[16] = -1.44167 +/- 0.5527 (38.34%) d[16] = -0.00587355 +/- 0.04183 (712.2%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.039 1.000 c[16] 0.060 -0.877 1.000 d[16] -0.122 0.191 -0.136 1.000 ******************************************************************************* Sun Jun 23 09:24:30 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6874198965e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.4557267514e-12 -2.61e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.45573e-12 rel. change during last iteration : -2.60924e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94277e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.65988e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.187e-08 (5.187e-06%) bb[16] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[16] = -3.14159 +/- 1.018e-07 (3.239e-06%) dd[16] = 2.06134e-08 +/- 3.651e-08 (177.1%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 10:40:33 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:40:33 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:40:34 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:40:35 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:40:35 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:40:36 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:40:37 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:40:37 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:40:38 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Sun Jun 23 10:40:39 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 10:40:39 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Sun Jun 23 10:40:40 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 10:40:40 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Sun Jun 23 10:40:41 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 10:40:42 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Sun Jun 23 10:40:42 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 10:40:43 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Sun Jun 23 10:40:44 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 10:40:44 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Sun Jun 23 10:40:45 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 10:40:45 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Sun Jun 23 10:40:46 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 10:40:47 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Sun Jun 23 10:40:48 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 10:40:48 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Sun Jun 23 10:40:49 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 10:40:49 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Sun Jun 23 10:40:50 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 10:40:51 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Sun Jun 23 10:40:51 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 10:40:52 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Sun Jun 23 10:40:53 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 10:47:31 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:47:32 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:47:33 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:47:33 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:47:34 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:47:35 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:47:35 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:47:36 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:47:36 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Sun Jun 23 10:47:37 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 10:47:38 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Sun Jun 23 10:47:38 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 10:47:39 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Sun Jun 23 10:47:40 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 10:47:40 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Sun Jun 23 10:47:41 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 10:47:42 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Sun Jun 23 10:47:42 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 10:47:43 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Sun Jun 23 10:47:44 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 10:47:44 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Sun Jun 23 10:47:45 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 10:47:45 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Sun Jun 23 10:47:46 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 10:47:47 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Sun Jun 23 10:47:47 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 10:47:48 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Sun Jun 23 10:47:49 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 10:47:49 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Sun Jun 23 10:47:50 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 10:47:50 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Sun Jun 23 10:47:51 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 10:50:28 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:50:29 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:50:29 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:50:30 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:50:30 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:50:31 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:50:32 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:50:32 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:50:33 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Sun Jun 23 10:50:33 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 10:50:34 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Sun Jun 23 10:50:35 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 10:50:35 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Sun Jun 23 10:50:36 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 10:50:37 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Sun Jun 23 10:50:37 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 10:50:38 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Sun Jun 23 10:50:38 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 10:50:39 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Sun Jun 23 10:50:40 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 10:50:40 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Sun Jun 23 10:50:41 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 10:50:42 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Sun Jun 23 10:50:42 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 10:50:43 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Sun Jun 23 10:50:43 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 10:50:44 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Sun Jun 23 10:50:45 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 10:50:45 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Sun Jun 23 10:50:46 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 10:50:47 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Sun Jun 23 10:50:47 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 10:56:03 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:56:04 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:56:04 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:56:05 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:56:05 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:56:06 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:56:07 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:56:07 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:56:08 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Sun Jun 23 10:56:08 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 10:56:09 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Sun Jun 23 10:56:10 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 10:56:10 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Sun Jun 23 10:56:11 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 10:56:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Sun Jun 23 10:56:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 10:56:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Sun Jun 23 10:56:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 10:56:14 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Sun Jun 23 10:56:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 10:56:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Sun Jun 23 10:56:16 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 10:56:16 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Sun Jun 23 10:56:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 10:56:18 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Sun Jun 23 10:56:18 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 10:56:19 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Sun Jun 23 10:56:20 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 10:56:20 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Sun Jun 23 10:56:21 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 10:56:21 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Sun Jun 23 10:56:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 10:56:38 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:56:39 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:56:39 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:56:40 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:56:41 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:56:41 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:56:42 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:56:42 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:56:43 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Sun Jun 23 10:56:44 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 10:56:44 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Sun Jun 23 10:56:45 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 10:56:46 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Sun Jun 23 10:56:46 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 10:56:47 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Sun Jun 23 10:56:47 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 10:56:48 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Sun Jun 23 10:56:49 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 10:56:49 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Sun Jun 23 10:56:50 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 10:56:51 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Sun Jun 23 10:56:51 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 10:56:52 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Sun Jun 23 10:56:53 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 10:56:53 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Sun Jun 23 10:56:54 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 10:56:54 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Sun Jun 23 10:56:55 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 10:56:56 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Sun Jun 23 10:56:56 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 10:56:57 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Sun Jun 23 10:56:58 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 10:58:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:58:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:58:16 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:58:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:58:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:58:18 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:58:19 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:58:19 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:58:20 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Sun Jun 23 10:58:21 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 10:58:21 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Sun Jun 23 10:58:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 10:58:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Sun Jun 23 10:58:23 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 10:58:24 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Sun Jun 23 10:58:24 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 10:58:25 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Sun Jun 23 10:58:25 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 10:58:26 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Sun Jun 23 10:58:27 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 10:58:27 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Sun Jun 23 10:58:28 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 10:58:29 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Sun Jun 23 10:58:29 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 10:58:30 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Sun Jun 23 10:58:30 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 10:58:31 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Sun Jun 23 10:58:32 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 10:58:32 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Sun Jun 23 10:58:33 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 10:58:33 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Sun Jun 23 10:58:34 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 11:05:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 11:05:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 11:05:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 11:05:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 11:05:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 11:05:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 11:05:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 11:05:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 11:05:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 11:05:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 11:05:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 11:05:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 11:05:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 11:05:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 11:05:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 11:05:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 11:05:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 11:05:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 11:05:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 11:05:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 11:05:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 11:05:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 11:05:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 11:05:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 11:05:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 11:05:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 11:05:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 11:05:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 11:05:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 11:05:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 11:06:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 11:06:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 30 11:28:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 30 11:29:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 11:29:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 30 11:29:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 11:29:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 30 11:29:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 11:29:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:29:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 30 11:29:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 30 11:29:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 30 11:29:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 30 11:29:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 30 11:29:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 30 11:29:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 30 11:29:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 30 11:29:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:29:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 30 11:29:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 30 11:29:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 30 11:29:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 30 11:29:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 30 11:29:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 30 11:29:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:29:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 30 11:29:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 30 11:29:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 30 11:29:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:29:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 30 11:29:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 30 11:29:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 30 11:29:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 30 11:29:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 30 11:29:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 30 11:29:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 11:29:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 30 11:29:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 11:29:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 30 11:29:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 11:29:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:29:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 30 11:29:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 30 11:29:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 30 11:29:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 30 11:29:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 30 11:29:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 30 11:29:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 30 11:29:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 30 11:29:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:29:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 30 11:29:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 30 11:29:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 30 11:29:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 30 11:29:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 30 11:29:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 30 11:29:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:29:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 30 11:29:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 30 11:29:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 30 11:29:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:29:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 30 11:29:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 30 11:29:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 30 11:29:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 30 11:29:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 30 11:35:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 30 11:35:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 11:35:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 30 11:35:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 11:35:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 30 11:35:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 11:35:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:35:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 30 11:35:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 30 11:35:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 30 11:35:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 30 11:35:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 30 11:35:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 30 11:35:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 30 11:35:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 30 11:35:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:35:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 30 11:35:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 30 11:36:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 30 11:36:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 30 11:36:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 30 11:36:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 30 11:36:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:36:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 30 11:36:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 30 11:36:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 30 11:36:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:36:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 30 11:36:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 30 11:36:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 30 11:36:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 30 11:36:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 30 11:36:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 30 11:36:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 11:36:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 30 11:36:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 11:36:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 30 11:36:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 11:36:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:36:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 30 11:36:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 30 11:36:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 30 11:36:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 30 11:36:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 30 11:36:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 30 11:36:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 30 11:36:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 30 11:36:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:36:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 30 11:36:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 30 11:36:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 30 11:36:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 30 11:36:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 30 11:36:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 30 11:36:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:36:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 30 11:36:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 30 11:36:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 30 11:36:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:36:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 30 11:36:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 30 11:36:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 30 11:36:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 30 11:36:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 30 11:37:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 30 11:37:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 11:37:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 30 11:37:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 11:37:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 30 11:37:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 11:37:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:37:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 30 11:37:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 30 11:37:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 30 11:37:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 30 11:37:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 30 11:37:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 30 11:37:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 30 11:37:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 30 11:37:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:37:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 30 11:37:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 30 11:37:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 30 11:37:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 30 11:37:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 30 11:37:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 30 11:37:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:37:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 30 11:37:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 30 11:37:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 30 11:37:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:37:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 30 11:38:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 30 11:38:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 30 11:38:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 30 11:38:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 30 11:52:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 30 11:52:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 11:52:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 30 11:52:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 11:52:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 30 11:52:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 11:52:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:52:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 30 11:52:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 30 11:52:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 30 11:52:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 30 11:52:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 30 11:52:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 30 11:52:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 30 11:52:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 30 11:52:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:52:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 30 11:52:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 30 11:52:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 30 11:52:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 30 11:52:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 30 11:52:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 30 11:52:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:52:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 30 11:52:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 30 11:52:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 30 11:52:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:52:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 30 11:52:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 30 11:52:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 30 11:52:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 30 11:52:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 30 12:13:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 30 12:13:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:13:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 30 12:13:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 12:13:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 30 12:13:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 12:13:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 30 12:13:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 30 12:13:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 30 12:13:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 30 12:13:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 30 12:13:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 30 12:13:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 30 12:13:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 30 12:13:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 30 12:13:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 30 12:13:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 30 12:13:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 30 12:13:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 30 12:13:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 30 12:13:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 30 12:13:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 30 12:13:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 12:13:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 30 12:13:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 30 12:13:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 30 12:13:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 12:13:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 30 12:13:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 30 12:13:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 30 12:13:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 30 12:13:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 30 12:22:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:22:14 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:23:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:23:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:23:56 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:23:57 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:24:39 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:24:40 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:25:03 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:25:04 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:25:05 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 12:25:05 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 12:25:06 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 12:25:07 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 12:25:07 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Sun Jun 30 12:25:08 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 30 12:25:08 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Sun Jun 30 12:25:09 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 30 12:25:10 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Sun Jun 30 12:25:10 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 30 12:25:11 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Sun Jun 30 12:25:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 30 12:25:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Sun Jun 30 12:25:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 30 12:25:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Sun Jun 30 12:25:14 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 30 12:25:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Sun Jun 30 12:25:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 30 12:25:16 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Sun Jun 30 12:25:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 30 12:25:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Sun Jun 30 12:25:18 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 30 12:25:18 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Sun Jun 30 12:25:19 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 30 12:25:20 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Sun Jun 30 12:25:20 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 30 12:25:21 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Sun Jun 30 12:25:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 30 12:25:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Sun Jun 30 12:25:23 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Mon Jul 1 08:48:56 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Mon Jul 1 08:48:57 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Mon Jul 1 08:48:58 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Mon Jul 1 08:48:58 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Mon Jul 1 08:48:59 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Mon Jul 1 08:49:00 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Mon Jul 1 08:49:00 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Mon Jul 1 08:49:01 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Mon Jul 1 08:49:02 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Mon Jul 1 08:49:02 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Mon Jul 1 08:49:03 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Mon Jul 1 08:49:04 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Mon Jul 1 08:49:04 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Mon Jul 1 08:49:05 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Mon Jul 1 08:49:06 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Mon Jul 1 08:49:06 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Mon Jul 1 08:49:07 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Mon Jul 1 08:49:07 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Mon Jul 1 08:49:08 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Mon Jul 1 08:49:09 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Mon Jul 1 08:49:09 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Mon Jul 1 08:49:10 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Mon Jul 1 08:49:11 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Mon Jul 1 08:49:11 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Mon Jul 1 08:49:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Mon Jul 1 08:49:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Mon Jul 1 08:49:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Mon Jul 1 08:49:14 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Mon Jul 1 08:49:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Mon Jul 1 08:49:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Mon Jul 1 08:49:16 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Mon Jul 1 08:49:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Mon Jul 1 08:52:49 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Mon Jul 1 08:52:50 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Mon Jul 1 08:52:50 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Mon Jul 1 08:52:51 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Mon Jul 1 08:52:52 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Mon Jul 1 08:52:52 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Mon Jul 1 08:52:53 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Mon Jul 1 08:52:54 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Mon Jul 1 08:52:54 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Mon Jul 1 08:52:55 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Mon Jul 1 08:52:55 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Mon Jul 1 08:52:56 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Mon Jul 1 08:52:57 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Mon Jul 1 08:52:57 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Mon Jul 1 08:52:58 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Mon Jul 1 08:52:59 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Mon Jul 1 08:52:59 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Mon Jul 1 08:53:00 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Mon Jul 1 08:53:01 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Mon Jul 1 08:53:01 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Mon Jul 1 08:53:02 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Mon Jul 1 08:53:03 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Mon Jul 1 08:53:03 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Mon Jul 1 08:53:04 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Mon Jul 1 08:53:05 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Mon Jul 1 08:53:05 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Mon Jul 1 08:53:06 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Mon Jul 1 08:53:07 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Mon Jul 1 08:53:07 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Mon Jul 1 08:53:08 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Mon Jul 1 08:53:09 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Mon Jul 1 08:53:09 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Mon Jul 1 08:56:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Mon Jul 1 08:56:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Mon Jul 1 08:56:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Mon Jul 1 08:56:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Mon Jul 1 08:56:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Mon Jul 1 08:56:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Mon Jul 1 08:56:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Mon Jul 1 08:56:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Mon Jul 1 08:56:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Mon Jul 1 08:56:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Mon Jul 1 08:56:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Mon Jul 1 08:56:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Mon Jul 1 08:56:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Mon Jul 1 08:56:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Mon Jul 1 08:56:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Mon Jul 1 08:56:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Mon Jul 1 08:56:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Mon Jul 1 08:56:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Mon Jul 1 08:56:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Mon Jul 1 08:56:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Mon Jul 1 08:56:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Mon Jul 1 08:56:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Mon Jul 1 08:56:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Mon Jul 1 08:56:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Mon Jul 1 08:56:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Mon Jul 1 08:56:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Mon Jul 1 08:56:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Mon Jul 1 08:56:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Mon Jul 1 08:56:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Mon Jul 1 08:56:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Mon Jul 1 08:56:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Mon Jul 1 08:56:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Mon Jul 1 09:05:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Mon Jul 1 09:05:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Mon Jul 1 09:05:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Mon Jul 1 09:05:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Mon Jul 1 09:05:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Mon Jul 1 09:05:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Mon Jul 1 09:05:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Mon Jul 1 09:05:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Mon Jul 1 09:05:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Mon Jul 1 09:05:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Mon Jul 1 09:05:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Mon Jul 1 09:05:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Mon Jul 1 09:05:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Mon Jul 1 09:05:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Mon Jul 1 09:05:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Mon Jul 1 09:05:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Mon Jul 1 09:05:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Mon Jul 1 09:05:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Mon Jul 1 09:05:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Mon Jul 1 09:05:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Mon Jul 1 09:05:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Mon Jul 1 09:05:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Mon Jul 1 09:05:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Mon Jul 1 09:05:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Mon Jul 1 09:05:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Mon Jul 1 09:05:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Mon Jul 1 09:05:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Mon Jul 1 09:05:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Mon Jul 1 09:05:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Mon Jul 1 09:05:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Mon Jul 1 09:05:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Mon Jul 1 09:05:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Mon Jul 1 09:06:08 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Mon Jul 1 09:06:09 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Mon Jul 1 09:06:09 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Mon Jul 1 09:06:10 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Mon Jul 1 09:06:10 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Mon Jul 1 09:06:11 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Mon Jul 1 09:06:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Mon Jul 1 09:06:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Mon Jul 1 09:06:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Mon Jul 1 09:06:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Mon Jul 1 09:06:14 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Mon Jul 1 09:06:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Mon Jul 1 09:06:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Mon Jul 1 09:06:16 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Mon Jul 1 09:06:16 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Mon Jul 1 09:06:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Mon Jul 1 09:06:18 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Mon Jul 1 09:06:18 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Mon Jul 1 09:06:19 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Mon Jul 1 09:06:19 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Mon Jul 1 09:06:20 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Mon Jul 1 09:06:21 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Mon Jul 1 09:06:21 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Mon Jul 1 09:06:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Mon Jul 1 09:06:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Mon Jul 1 09:06:23 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Mon Jul 1 09:06:24 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Mon Jul 1 09:06:24 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Mon Jul 1 09:06:25 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Mon Jul 1 09:06:25 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Mon Jul 1 09:06:26 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Mon Jul 1 09:06:27 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 15:44:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e+00 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 2.0449954359e-12 -4.70e-01 2.23e-06 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-12 rel. change during last iteration : -4.70202e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.384879 +/- 3.119e-08 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.0342282 +/- 2.25e-08 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Tue Oct 7 15:44:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Tue Oct 7 15:44:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e+00 0.00e+00 1.11e+00 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 6 3.5986365056e-12 0.00e+00 1.11e+03 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.709172 +/- 4.145e-08 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.0342282 +/- 2.983e-08 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Tue Oct 7 15:44:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952588166e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4911163761e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.85919e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Tue Oct 7 15:44:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e+00 0.00e+00 2.07e+00 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 6 5.6415218291e-12 0.00e+00 2.07e+02 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.926131 +/- 5.192e-08 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.0342282 +/- 3.734e-08 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 15:44:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738565803e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.95e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.94819e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Tue Oct 7 15:44:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-01 0.00e+00 2.70e+00 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 5 7.0278685636e-12 -2.01e-01 2.70e-05 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-12 rel. change during last iteration : -2.0113e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -1.00234 +/- 5.795e-08 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.0342282 +/- 4.167e-08 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 15:44:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.30e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.29972e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Tue Oct 7 15:44:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-01 0.00e+00 2.93e+00 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 5 5.1414008745e-12 -9.57e-02 2.93e-05 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-12 rel. change during last iteration : -9.56533e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.92613 +/- 4.957e-08 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.0342282 +/- 3.564e-08 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 15:44:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Tue Oct 7 15:44:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e+00 0.00e+00 2.71e+00 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 6 3.8711906301e-12 -4.38e-04 2.71e-06 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-12 rel. change during last iteration : -4.37958e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.709172 +/- 4.303e-08 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.0342282 +/- 3.092e-08 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Tue Oct 7 15:44:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Tue Oct 7 15:44:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e+00 0.00e+00 2.08e+00 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 6 1.7082827097e-12 -1.83e-03 2.08e-06 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-12 rel. change during last iteration : -1.83087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.384879 +/- 2.863e-08 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.0342282 +/- 2.053e-08 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Tue Oct 7 15:44:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Tue Oct 7 15:44:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e+00 0.00e+00 1.14e+00 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 10 1.8605598430e-12 -4.22e-02 1.14e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-12 rel. change during last iteration : -4.22235e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.0342452 +/- 3.012e-08 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.0342282 +/- 2.136e-08 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Tue Oct 7 15:44:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Tue Oct 7 15:44:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e+00 0.00e+00 1.12e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 36 1.8595433026e-12 -5.52e-04 1.12e-09 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-12 rel. change during last iteration : -5.52366e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.384881 +/- 2.959e-08 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.0342282 +/- 2.15e-08 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Tue Oct 7 15:44:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Tue Oct 7 15:44:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e+00 0.00e+00 1.26e+00 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 6 3.9636781235e-12 -6.65e-03 1.26e-06 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-12 rel. change during last iteration : -6.65484e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.709173 +/- 4.327e-08 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.0342282 +/- 3.137e-08 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Tue Oct 7 15:44:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Tue Oct 7 15:44:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e+00 0.00e+00 2.34e+00 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 6 5.5511337457e-12 -6.00e-04 2.34e-06 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-12 rel. change during last iteration : -6.00133e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.926131 +/- 5.123e-08 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.0342282 +/- 3.712e-08 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Tue Oct 7 15:44:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020432702e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1568198796e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57912e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Tue Oct 7 15:44:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-01 0.00e+00 3.06e+00 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 5 6.6311705155e-12 -1.12e-01 3.06e-05 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-12 rel. change during last iteration : -1.11855e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -1.00234 +/- 5.599e-08 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.0342282 +/- 4.057e-08 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 15:44:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673734e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994693e-12 -3.67e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.66512e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Tue Oct 7 15:44:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-01 0.00e+00 3.32e+00 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 5 5.9138008972e-12 -7.73e-02 3.32e-05 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-12 rel. change during last iteration : -7.7349e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.92613 +/- 5.288e-08 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.0342282 +/- 3.831e-08 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 15:44:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417888e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6447883867e-12 -5.73e-06 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.7253e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57912e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Tue Oct 7 15:44:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e+00 0.00e+00 3.07e+00 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 5 3.5551026978e-12 -3.14e-02 3.07e-05 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-12 rel. change during last iteration : -3.14098e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.709171 +/- 4.101e-08 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.0342282 +/- 2.97e-08 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Tue Oct 7 15:44:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962740919e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757507e-12 -4.79e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.79117e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Tue Oct 7 15:44:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e+00 0.00e+00 2.36e+00 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 6 1.9226820809e-12 -6.49e-04 2.36e-06 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-12 rel. change during last iteration : -6.49393e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.384877 +/- 3.021e-08 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.0342282 +/- 2.183e-08 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Tue Oct 7 15:44:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243401e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.59e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.59135e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Tue Oct 7 15:44:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e+00 0.00e+00 1.29e+00 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 10 1.8026239717e-12 -9.94e-02 1.29e-08 -3.422788e-02 1.439344e+00 -6.283223e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-12 rel. change during last iteration : -9.93942e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0342279 +/- 2.981e-08 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.0342282 +/- 2.099e-08 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 15:44:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 16:00:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e+00 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 2.0449954359e-12 -4.70e-01 2.23e-06 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-12 rel. change during last iteration : -4.70202e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.384879 +/- 3.119e-08 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.0342282 +/- 2.25e-08 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Tue Oct 7 16:00:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Tue Oct 7 16:00:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e+00 0.00e+00 1.11e+00 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 6 3.5986365056e-12 0.00e+00 1.11e+03 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.709172 +/- 4.145e-08 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.0342282 +/- 2.983e-08 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Tue Oct 7 16:00:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952588166e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4911163761e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.85919e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Tue Oct 7 16:00:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e+00 0.00e+00 2.07e+00 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 6 5.6415218291e-12 0.00e+00 2.07e+02 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.926131 +/- 5.192e-08 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.0342282 +/- 3.734e-08 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 16:00:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738565803e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.95e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.94819e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Tue Oct 7 16:00:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-01 0.00e+00 2.70e+00 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 5 7.0278685636e-12 -2.01e-01 2.70e-05 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-12 rel. change during last iteration : -2.0113e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -1.00234 +/- 5.795e-08 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.0342282 +/- 4.167e-08 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 16:00:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.30e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.29972e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Tue Oct 7 16:00:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-01 0.00e+00 2.93e+00 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 5 5.1414008745e-12 -9.57e-02 2.93e-05 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-12 rel. change during last iteration : -9.56533e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.92613 +/- 4.957e-08 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.0342282 +/- 3.564e-08 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 16:00:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Tue Oct 7 16:00:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e+00 0.00e+00 2.71e+00 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 6 3.8711906301e-12 -4.38e-04 2.71e-06 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-12 rel. change during last iteration : -4.37958e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.709172 +/- 4.303e-08 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.0342282 +/- 3.092e-08 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Tue Oct 7 16:00:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Tue Oct 7 16:00:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e+00 0.00e+00 2.08e+00 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 6 1.7082827097e-12 -1.83e-03 2.08e-06 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-12 rel. change during last iteration : -1.83087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.384879 +/- 2.863e-08 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.0342282 +/- 2.053e-08 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Tue Oct 7 16:00:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Tue Oct 7 16:00:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e+00 0.00e+00 1.14e+00 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 10 1.8605598430e-12 -4.22e-02 1.14e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-12 rel. change during last iteration : -4.22235e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.0342452 +/- 3.012e-08 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.0342282 +/- 2.136e-08 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Tue Oct 7 16:00:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Tue Oct 7 16:00:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e+00 0.00e+00 1.12e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 36 1.8595433026e-12 -5.52e-04 1.12e-09 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-12 rel. change during last iteration : -5.52366e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.384881 +/- 2.959e-08 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.0342282 +/- 2.15e-08 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Tue Oct 7 16:00:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Tue Oct 7 16:00:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e+00 0.00e+00 1.26e+00 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 6 3.9636781235e-12 -6.65e-03 1.26e-06 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-12 rel. change during last iteration : -6.65484e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.709173 +/- 4.327e-08 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.0342282 +/- 3.137e-08 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Tue Oct 7 16:00:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Tue Oct 7 16:00:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e+00 0.00e+00 2.34e+00 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 6 5.5511337457e-12 -6.00e-04 2.34e-06 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-12 rel. change during last iteration : -6.00133e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.926131 +/- 5.123e-08 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.0342282 +/- 3.712e-08 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Tue Oct 7 16:00:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020432702e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1568198796e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57912e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Tue Oct 7 16:00:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-01 0.00e+00 3.06e+00 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 5 6.6311705155e-12 -1.12e-01 3.06e-05 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-12 rel. change during last iteration : -1.11855e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -1.00234 +/- 5.599e-08 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.0342282 +/- 4.057e-08 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 16:00:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673734e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994693e-12 -3.67e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.66512e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Tue Oct 7 16:00:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-01 0.00e+00 3.32e+00 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 5 5.9138008972e-12 -7.73e-02 3.32e-05 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-12 rel. change during last iteration : -7.7349e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.92613 +/- 5.288e-08 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.0342282 +/- 3.831e-08 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 16:00:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417888e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6447883867e-12 -5.73e-06 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.7253e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57912e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Tue Oct 7 16:00:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e+00 0.00e+00 3.07e+00 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 5 3.5551026978e-12 -3.14e-02 3.07e-05 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-12 rel. change during last iteration : -3.14098e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.709171 +/- 4.101e-08 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.0342282 +/- 2.97e-08 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Tue Oct 7 16:00:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962740919e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757507e-12 -4.79e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.79117e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Tue Oct 7 16:00:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e+00 0.00e+00 2.36e+00 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 6 1.9226820809e-12 -6.49e-04 2.36e-06 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-12 rel. change during last iteration : -6.49393e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.384877 +/- 3.021e-08 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.0342282 +/- 2.183e-08 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Tue Oct 7 16:00:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243401e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.59e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.59135e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Tue Oct 7 16:00:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e+00 0.00e+00 1.29e+00 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 10 1.8026239717e-12 -9.94e-02 1.29e-08 -3.422788e-02 1.439344e+00 -6.283223e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-12 rel. change during last iteration : -9.93942e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0342279 +/- 2.981e-08 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.0342282 +/- 2.099e-08 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 16:00:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 19:06:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e+00 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 2.0449954359e-12 -4.70e-01 2.23e-06 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-12 rel. change during last iteration : -4.70202e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.384879 +/- 3.119e-08 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.0342282 +/- 2.25e-08 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Tue Oct 7 19:06:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Tue Oct 7 19:06:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e+00 0.00e+00 1.11e+00 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 6 3.5986365056e-12 0.00e+00 1.11e+03 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.709172 +/- 4.145e-08 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.0342282 +/- 2.983e-08 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Tue Oct 7 19:06:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952588166e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4911163761e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.85919e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Tue Oct 7 19:06:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e+00 0.00e+00 2.07e+00 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 6 5.6415218291e-12 0.00e+00 2.07e+02 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.926131 +/- 5.192e-08 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.0342282 +/- 3.734e-08 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:06:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738565803e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.95e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.94819e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Tue Oct 7 19:06:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-01 0.00e+00 2.70e+00 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 5 7.0278685636e-12 -2.01e-01 2.70e-05 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-12 rel. change during last iteration : -2.0113e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -1.00234 +/- 5.795e-08 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.0342282 +/- 4.167e-08 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:06:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.30e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.29972e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Tue Oct 7 19:06:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-01 0.00e+00 2.93e+00 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 5 5.1414008745e-12 -9.57e-02 2.93e-05 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-12 rel. change during last iteration : -9.56533e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.92613 +/- 4.957e-08 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.0342282 +/- 3.564e-08 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:06:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Tue Oct 7 19:06:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e+00 0.00e+00 2.71e+00 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 6 3.8711906301e-12 -4.38e-04 2.71e-06 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-12 rel. change during last iteration : -4.37958e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.709172 +/- 4.303e-08 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.0342282 +/- 3.092e-08 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Tue Oct 7 19:06:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Tue Oct 7 19:06:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e+00 0.00e+00 2.08e+00 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 6 1.7082827097e-12 -1.83e-03 2.08e-06 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-12 rel. change during last iteration : -1.83087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.384879 +/- 2.863e-08 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.0342282 +/- 2.053e-08 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Tue Oct 7 19:06:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Tue Oct 7 19:06:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e+00 0.00e+00 1.14e+00 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 10 1.8605598430e-12 -4.22e-02 1.14e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-12 rel. change during last iteration : -4.22235e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.0342452 +/- 3.012e-08 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.0342282 +/- 2.136e-08 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Tue Oct 7 19:06:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Tue Oct 7 19:06:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e+00 0.00e+00 1.12e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 36 1.8595433026e-12 -5.52e-04 1.12e-09 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-12 rel. change during last iteration : -5.52366e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.384881 +/- 2.959e-08 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.0342282 +/- 2.15e-08 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Tue Oct 7 19:06:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Tue Oct 7 19:06:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e+00 0.00e+00 1.26e+00 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 6 3.9636781235e-12 -6.65e-03 1.26e-06 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-12 rel. change during last iteration : -6.65484e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.709173 +/- 4.327e-08 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.0342282 +/- 3.137e-08 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Tue Oct 7 19:06:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Tue Oct 7 19:06:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e+00 0.00e+00 2.34e+00 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 6 5.5511337457e-12 -6.00e-04 2.34e-06 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-12 rel. change during last iteration : -6.00133e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.926131 +/- 5.123e-08 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.0342282 +/- 3.712e-08 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Tue Oct 7 19:06:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020432702e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1568198796e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57912e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Tue Oct 7 19:06:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-01 0.00e+00 3.06e+00 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 5 6.6311705155e-12 -1.12e-01 3.06e-05 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-12 rel. change during last iteration : -1.11855e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -1.00234 +/- 5.599e-08 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.0342282 +/- 4.057e-08 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 19:06:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673734e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994693e-12 -3.67e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.66512e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Tue Oct 7 19:06:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-01 0.00e+00 3.32e+00 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 5 5.9138008972e-12 -7.73e-02 3.32e-05 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-12 rel. change during last iteration : -7.7349e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.92613 +/- 5.288e-08 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.0342282 +/- 3.831e-08 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 19:06:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417888e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6447883867e-12 -5.73e-06 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.7253e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57912e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Tue Oct 7 19:06:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e+00 0.00e+00 3.07e+00 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 5 3.5551026978e-12 -3.14e-02 3.07e-05 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-12 rel. change during last iteration : -3.14098e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.709171 +/- 4.101e-08 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.0342282 +/- 2.97e-08 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Tue Oct 7 19:06:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962740919e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757507e-12 -4.79e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.79117e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Tue Oct 7 19:06:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e+00 0.00e+00 2.36e+00 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 6 1.9226820809e-12 -6.49e-04 2.36e-06 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-12 rel. change during last iteration : -6.49393e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.384877 +/- 3.021e-08 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.0342282 +/- 2.183e-08 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Tue Oct 7 19:06:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243401e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.59e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.59135e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Tue Oct 7 19:06:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e+00 0.00e+00 1.29e+00 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 10 1.8026239717e-12 -9.94e-02 1.29e-08 -3.422788e-02 1.439344e+00 -6.283223e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-12 rel. change during last iteration : -9.93942e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0342279 +/- 2.981e-08 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.0342282 +/- 2.099e-08 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 19:06:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 19:11:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e+00 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 2.0449954359e-12 -4.70e-01 2.23e-06 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-12 rel. change during last iteration : -4.70202e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.384879 +/- 3.119e-08 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.0342282 +/- 2.25e-08 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Tue Oct 7 19:11:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Tue Oct 7 19:11:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e+00 0.00e+00 1.11e+00 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 6 3.5986365056e-12 0.00e+00 1.11e+03 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.709172 +/- 4.145e-08 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.0342282 +/- 2.983e-08 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Tue Oct 7 19:11:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952588166e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4911163761e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.85919e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Tue Oct 7 19:11:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e+00 0.00e+00 2.07e+00 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 6 5.6415218291e-12 0.00e+00 2.07e+02 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.926131 +/- 5.192e-08 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.0342282 +/- 3.734e-08 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:11:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738565803e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.95e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.94819e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Tue Oct 7 19:11:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-01 0.00e+00 2.70e+00 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 5 7.0278685636e-12 -2.01e-01 2.70e-05 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-12 rel. change during last iteration : -2.0113e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -1.00234 +/- 5.795e-08 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.0342282 +/- 4.167e-08 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:11:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.30e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.29972e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Tue Oct 7 19:11:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-01 0.00e+00 2.93e+00 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 5 5.1414008745e-12 -9.57e-02 2.93e-05 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-12 rel. change during last iteration : -9.56533e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.92613 +/- 4.957e-08 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.0342282 +/- 3.564e-08 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:11:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Tue Oct 7 19:11:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e+00 0.00e+00 2.71e+00 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 6 3.8711906301e-12 -4.38e-04 2.71e-06 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-12 rel. change during last iteration : -4.37958e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.709172 +/- 4.303e-08 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.0342282 +/- 3.092e-08 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Tue Oct 7 19:11:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Tue Oct 7 19:11:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e+00 0.00e+00 2.08e+00 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 6 1.7082827097e-12 -1.83e-03 2.08e-06 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-12 rel. change during last iteration : -1.83087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.384879 +/- 2.863e-08 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.0342282 +/- 2.053e-08 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Tue Oct 7 19:11:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Tue Oct 7 19:11:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e+00 0.00e+00 1.14e+00 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 10 1.8605598430e-12 -4.22e-02 1.14e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-12 rel. change during last iteration : -4.22235e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.0342452 +/- 3.012e-08 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.0342282 +/- 2.136e-08 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Tue Oct 7 19:11:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Tue Oct 7 19:11:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e+00 0.00e+00 1.12e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 36 1.8595433026e-12 -5.52e-04 1.12e-09 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-12 rel. change during last iteration : -5.52366e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.384881 +/- 2.959e-08 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.0342282 +/- 2.15e-08 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Tue Oct 7 19:11:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Tue Oct 7 19:11:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e+00 0.00e+00 1.26e+00 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 6 3.9636781235e-12 -6.65e-03 1.26e-06 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-12 rel. change during last iteration : -6.65484e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.709173 +/- 4.327e-08 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.0342282 +/- 3.137e-08 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Tue Oct 7 19:11:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Tue Oct 7 19:11:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e+00 0.00e+00 2.34e+00 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 6 5.5511337457e-12 -6.00e-04 2.34e-06 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-12 rel. change during last iteration : -6.00133e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.926131 +/- 5.123e-08 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.0342282 +/- 3.712e-08 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Tue Oct 7 19:11:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020432702e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1568198796e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57912e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Tue Oct 7 19:11:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-01 0.00e+00 3.06e+00 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 5 6.6311705155e-12 -1.12e-01 3.06e-05 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-12 rel. change during last iteration : -1.11855e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -1.00234 +/- 5.599e-08 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.0342282 +/- 4.057e-08 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 19:11:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673734e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994693e-12 -3.67e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.66512e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Tue Oct 7 19:11:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-01 0.00e+00 3.32e+00 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 5 5.9138008972e-12 -7.73e-02 3.32e-05 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-12 rel. change during last iteration : -7.7349e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.92613 +/- 5.288e-08 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.0342282 +/- 3.831e-08 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 19:11:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417888e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6447883867e-12 -5.73e-06 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.7253e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57912e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Tue Oct 7 19:11:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e+00 0.00e+00 3.07e+00 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 5 3.5551026978e-12 -3.14e-02 3.07e-05 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-12 rel. change during last iteration : -3.14098e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.709171 +/- 4.101e-08 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.0342282 +/- 2.97e-08 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Tue Oct 7 19:11:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962740919e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757507e-12 -4.79e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.79117e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Tue Oct 7 19:11:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e+00 0.00e+00 2.36e+00 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 6 1.9226820809e-12 -6.49e-04 2.36e-06 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-12 rel. change during last iteration : -6.49393e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.384877 +/- 3.021e-08 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.0342282 +/- 2.183e-08 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Tue Oct 7 19:11:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243401e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.59e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.59135e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Tue Oct 7 19:11:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e+00 0.00e+00 1.29e+00 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 10 1.8026239717e-12 -9.94e-02 1.29e-08 -3.422788e-02 1.439344e+00 -6.283223e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-12 rel. change during last iteration : -9.93942e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0342279 +/- 2.981e-08 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.0342282 +/- 2.099e-08 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 19:11:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 19:19:56 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e+00 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 2.0449954359e-12 -4.70e-01 2.23e-06 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-12 rel. change during last iteration : -4.70202e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.384879 +/- 3.119e-08 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.0342282 +/- 2.25e-08 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Tue Oct 7 19:19:56 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Tue Oct 7 19:19:56 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e+00 0.00e+00 1.11e+00 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 6 3.5986365056e-12 0.00e+00 1.11e+03 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.709172 +/- 4.145e-08 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.0342282 +/- 2.983e-08 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Tue Oct 7 19:19:56 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952588166e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4911163761e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.85919e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Tue Oct 7 19:19:56 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e+00 0.00e+00 2.07e+00 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 6 5.6415218291e-12 0.00e+00 2.07e+02 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.926131 +/- 5.192e-08 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.0342282 +/- 3.734e-08 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:19:56 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738565803e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.95e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.94819e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Tue Oct 7 19:19:56 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-01 0.00e+00 2.70e+00 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 5 7.0278685636e-12 -2.01e-01 2.70e-05 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-12 rel. change during last iteration : -2.0113e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -1.00234 +/- 5.795e-08 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.0342282 +/- 4.167e-08 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:19:56 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.30e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.29972e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Tue Oct 7 19:19:56 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-01 0.00e+00 2.93e+00 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 5 5.1414008745e-12 -9.57e-02 2.93e-05 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-12 rel. change during last iteration : -9.56533e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.92613 +/- 4.957e-08 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.0342282 +/- 3.564e-08 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:19:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Tue Oct 7 19:19:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e+00 0.00e+00 2.71e+00 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 6 3.8711906301e-12 -4.38e-04 2.71e-06 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-12 rel. change during last iteration : -4.37958e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.709172 +/- 4.303e-08 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.0342282 +/- 3.092e-08 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Tue Oct 7 19:19:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Tue Oct 7 19:19:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e+00 0.00e+00 2.08e+00 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 6 1.7082827097e-12 -1.83e-03 2.08e-06 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-12 rel. change during last iteration : -1.83087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.384879 +/- 2.863e-08 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.0342282 +/- 2.053e-08 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Tue Oct 7 19:19:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Tue Oct 7 19:19:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e+00 0.00e+00 1.14e+00 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 10 1.8605598430e-12 -4.22e-02 1.14e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-12 rel. change during last iteration : -4.22235e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.0342452 +/- 3.012e-08 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.0342282 +/- 2.136e-08 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Tue Oct 7 19:19:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Tue Oct 7 19:19:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e+00 0.00e+00 1.12e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 36 1.8595433026e-12 -5.52e-04 1.12e-09 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-12 rel. change during last iteration : -5.52366e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.384881 +/- 2.959e-08 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.0342282 +/- 2.15e-08 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Tue Oct 7 19:19:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Tue Oct 7 19:19:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e+00 0.00e+00 1.26e+00 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 6 3.9636781235e-12 -6.65e-03 1.26e-06 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-12 rel. change during last iteration : -6.65484e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.709173 +/- 4.327e-08 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.0342282 +/- 3.137e-08 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Tue Oct 7 19:19:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Tue Oct 7 19:19:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e+00 0.00e+00 2.34e+00 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 6 5.5511337457e-12 -6.00e-04 2.34e-06 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-12 rel. change during last iteration : -6.00133e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.926131 +/- 5.123e-08 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.0342282 +/- 3.712e-08 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Tue Oct 7 19:19:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020432702e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1568198796e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57912e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Tue Oct 7 19:19:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-01 0.00e+00 3.06e+00 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 5 6.6311705155e-12 -1.12e-01 3.06e-05 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-12 rel. change during last iteration : -1.11855e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -1.00234 +/- 5.599e-08 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.0342282 +/- 4.057e-08 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 19:19:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673734e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994693e-12 -3.67e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.66512e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Tue Oct 7 19:19:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-01 0.00e+00 3.32e+00 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 5 5.9138008972e-12 -7.73e-02 3.32e-05 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-12 rel. change during last iteration : -7.7349e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.92613 +/- 5.288e-08 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.0342282 +/- 3.831e-08 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 19:19:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417888e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6447883867e-12 -5.73e-06 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.7253e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57912e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Tue Oct 7 19:19:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e+00 0.00e+00 3.07e+00 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 5 3.5551026978e-12 -3.14e-02 3.07e-05 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-12 rel. change during last iteration : -3.14098e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.709171 +/- 4.101e-08 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.0342282 +/- 2.97e-08 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Tue Oct 7 19:19:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962740919e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757507e-12 -4.79e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.79117e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Tue Oct 7 19:19:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e+00 0.00e+00 2.36e+00 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 6 1.9226820809e-12 -6.49e-04 2.36e-06 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-12 rel. change during last iteration : -6.49393e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.384877 +/- 3.021e-08 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.0342282 +/- 2.183e-08 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Tue Oct 7 19:19:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243401e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.59e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.59135e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Tue Oct 7 19:19:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e+00 0.00e+00 1.29e+00 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 10 1.8026239717e-12 -9.94e-02 1.29e-08 -3.422788e-02 1.439344e+00 -6.283223e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-12 rel. change during last iteration : -9.93942e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0342279 +/- 2.981e-08 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.0342282 +/- 2.099e-08 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 19:19:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 19:21:19 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e+00 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 2.0449954359e-12 -4.70e-01 2.23e-06 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-12 rel. change during last iteration : -4.70202e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.384879 +/- 3.119e-08 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.0342282 +/- 2.25e-08 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Tue Oct 7 19:21:19 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Tue Oct 7 19:21:19 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e+00 0.00e+00 1.11e+00 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 6 3.5986365056e-12 0.00e+00 1.11e+03 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.709172 +/- 4.145e-08 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.0342282 +/- 2.983e-08 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Tue Oct 7 19:21:19 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952588166e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4911163761e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.85919e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Tue Oct 7 19:21:19 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e+00 0.00e+00 2.07e+00 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 6 5.6415218291e-12 0.00e+00 2.07e+02 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.926131 +/- 5.192e-08 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.0342282 +/- 3.734e-08 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:21:19 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738565803e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.95e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.94819e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Tue Oct 7 19:21:19 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-01 0.00e+00 2.70e+00 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 5 7.0278685636e-12 -2.01e-01 2.70e-05 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-12 rel. change during last iteration : -2.0113e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -1.00234 +/- 5.795e-08 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.0342282 +/- 4.167e-08 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:21:19 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.30e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.29972e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Tue Oct 7 19:21:19 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-01 0.00e+00 2.93e+00 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 5 5.1414008745e-12 -9.57e-02 2.93e-05 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-12 rel. change during last iteration : -9.56533e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.92613 +/- 4.957e-08 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.0342282 +/- 3.564e-08 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:21:19 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Tue Oct 7 19:21:19 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e+00 0.00e+00 2.71e+00 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 6 3.8711906301e-12 -4.38e-04 2.71e-06 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-12 rel. change during last iteration : -4.37958e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.709172 +/- 4.303e-08 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.0342282 +/- 3.092e-08 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Tue Oct 7 19:21:19 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Tue Oct 7 19:21:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e+00 0.00e+00 2.08e+00 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 6 1.7082827097e-12 -1.83e-03 2.08e-06 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-12 rel. change during last iteration : -1.83087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.384879 +/- 2.863e-08 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.0342282 +/- 2.053e-08 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Tue Oct 7 19:21:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Tue Oct 7 19:21:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e+00 0.00e+00 1.14e+00 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 10 1.8605598430e-12 -4.22e-02 1.14e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-12 rel. change during last iteration : -4.22235e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.0342452 +/- 3.012e-08 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.0342282 +/- 2.136e-08 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Tue Oct 7 19:21:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Tue Oct 7 19:21:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e+00 0.00e+00 1.12e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 36 1.8595433026e-12 -5.52e-04 1.12e-09 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-12 rel. change during last iteration : -5.52366e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.384881 +/- 2.959e-08 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.0342282 +/- 2.15e-08 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Tue Oct 7 19:21:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Tue Oct 7 19:21:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e+00 0.00e+00 1.26e+00 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 6 3.9636781235e-12 -6.65e-03 1.26e-06 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-12 rel. change during last iteration : -6.65484e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.709173 +/- 4.327e-08 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.0342282 +/- 3.137e-08 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Tue Oct 7 19:21:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Tue Oct 7 19:21:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e+00 0.00e+00 2.34e+00 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 6 5.5511337457e-12 -6.00e-04 2.34e-06 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-12 rel. change during last iteration : -6.00133e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.926131 +/- 5.123e-08 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.0342282 +/- 3.712e-08 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Tue Oct 7 19:21:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020432702e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1568198796e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57912e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Tue Oct 7 19:21:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-01 0.00e+00 3.06e+00 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 5 6.6311705155e-12 -1.12e-01 3.06e-05 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-12 rel. change during last iteration : -1.11855e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -1.00234 +/- 5.599e-08 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.0342282 +/- 4.057e-08 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 19:21:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673734e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994693e-12 -3.67e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.66512e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Tue Oct 7 19:21:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-01 0.00e+00 3.32e+00 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 5 5.9138008972e-12 -7.73e-02 3.32e-05 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-12 rel. change during last iteration : -7.7349e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.92613 +/- 5.288e-08 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.0342282 +/- 3.831e-08 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 19:21:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417888e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6447883867e-12 -5.73e-06 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.7253e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57912e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Tue Oct 7 19:21:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e+00 0.00e+00 3.07e+00 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 5 3.5551026978e-12 -3.14e-02 3.07e-05 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-12 rel. change during last iteration : -3.14098e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.709171 +/- 4.101e-08 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.0342282 +/- 2.97e-08 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Tue Oct 7 19:21:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962740919e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757507e-12 -4.79e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.79117e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Tue Oct 7 19:21:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e+00 0.00e+00 2.36e+00 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 6 1.9226820809e-12 -6.49e-04 2.36e-06 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-12 rel. change during last iteration : -6.49393e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.384877 +/- 3.021e-08 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.0342282 +/- 2.183e-08 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Tue Oct 7 19:21:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243401e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.59e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.59135e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Tue Oct 7 19:21:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e+00 0.00e+00 1.29e+00 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 10 1.8026239717e-12 -9.94e-02 1.29e-08 -3.422788e-02 1.439344e+00 -6.283223e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-12 rel. change during last iteration : -9.93942e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0342279 +/- 2.981e-08 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.0342282 +/- 2.099e-08 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 19:21:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 19:22:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e+00 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 2.0449954359e-12 -4.70e-01 2.23e-06 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-12 rel. change during last iteration : -4.70202e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.384879 +/- 3.119e-08 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.0342282 +/- 2.25e-08 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Tue Oct 7 19:22:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Tue Oct 7 19:22:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e+00 0.00e+00 1.11e+00 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 6 3.5986365056e-12 0.00e+00 1.11e+03 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.709172 +/- 4.145e-08 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.0342282 +/- 2.983e-08 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Tue Oct 7 19:22:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952588166e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4911163761e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.85919e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Tue Oct 7 19:22:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e+00 0.00e+00 2.07e+00 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 6 5.6415218291e-12 0.00e+00 2.07e+02 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.926131 +/- 5.192e-08 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.0342282 +/- 3.734e-08 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:22:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738565803e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.95e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.94819e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Tue Oct 7 19:22:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-01 0.00e+00 2.70e+00 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 5 7.0278685636e-12 -2.01e-01 2.70e-05 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-12 rel. change during last iteration : -2.0113e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -1.00234 +/- 5.795e-08 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.0342282 +/- 4.167e-08 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:22:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.30e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.29972e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Tue Oct 7 19:22:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-01 0.00e+00 2.93e+00 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 5 5.1414008745e-12 -9.57e-02 2.93e-05 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-12 rel. change during last iteration : -9.56533e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.92613 +/- 4.957e-08 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.0342282 +/- 3.564e-08 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:22:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Tue Oct 7 19:22:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e+00 0.00e+00 2.71e+00 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 6 3.8711906301e-12 -4.38e-04 2.71e-06 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-12 rel. change during last iteration : -4.37958e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.709172 +/- 4.303e-08 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.0342282 +/- 3.092e-08 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Tue Oct 7 19:22:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Tue Oct 7 19:22:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e+00 0.00e+00 2.08e+00 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 6 1.7082827097e-12 -1.83e-03 2.08e-06 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-12 rel. change during last iteration : -1.83087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.384879 +/- 2.863e-08 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.0342282 +/- 2.053e-08 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Tue Oct 7 19:22:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Tue Oct 7 19:22:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e+00 0.00e+00 1.14e+00 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 10 1.8605598430e-12 -4.22e-02 1.14e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-12 rel. change during last iteration : -4.22235e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.0342452 +/- 3.012e-08 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.0342282 +/- 2.136e-08 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Tue Oct 7 19:22:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Tue Oct 7 19:22:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e+00 0.00e+00 1.12e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 36 1.8595433026e-12 -5.52e-04 1.12e-09 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-12 rel. change during last iteration : -5.52366e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.384881 +/- 2.959e-08 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.0342282 +/- 2.15e-08 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Tue Oct 7 19:22:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Tue Oct 7 19:22:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e+00 0.00e+00 1.26e+00 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 6 3.9636781235e-12 -6.65e-03 1.26e-06 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-12 rel. change during last iteration : -6.65484e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.709173 +/- 4.327e-08 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.0342282 +/- 3.137e-08 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Tue Oct 7 19:22:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Tue Oct 7 19:22:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e+00 0.00e+00 2.34e+00 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 6 5.5511337457e-12 -6.00e-04 2.34e-06 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-12 rel. change during last iteration : -6.00133e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.926131 +/- 5.123e-08 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.0342282 +/- 3.712e-08 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Tue Oct 7 19:22:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020432702e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1568198796e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57912e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Tue Oct 7 19:22:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-01 0.00e+00 3.06e+00 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 5 6.6311705155e-12 -1.12e-01 3.06e-05 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-12 rel. change during last iteration : -1.11855e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -1.00234 +/- 5.599e-08 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.0342282 +/- 4.057e-08 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 19:22:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673734e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994693e-12 -3.67e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.66512e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Tue Oct 7 19:22:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-01 0.00e+00 3.32e+00 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 5 5.9138008972e-12 -7.73e-02 3.32e-05 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-12 rel. change during last iteration : -7.7349e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.92613 +/- 5.288e-08 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.0342282 +/- 3.831e-08 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 19:22:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417888e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6447883867e-12 -5.73e-06 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.7253e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57912e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Tue Oct 7 19:22:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e+00 0.00e+00 3.07e+00 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 5 3.5551026978e-12 -3.14e-02 3.07e-05 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-12 rel. change during last iteration : -3.14098e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.709171 +/- 4.101e-08 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.0342282 +/- 2.97e-08 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Tue Oct 7 19:22:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962740919e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757507e-12 -4.79e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.79117e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Tue Oct 7 19:22:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e+00 0.00e+00 2.36e+00 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 6 1.9226820809e-12 -6.49e-04 2.36e-06 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-12 rel. change during last iteration : -6.49393e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.384877 +/- 3.021e-08 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.0342282 +/- 2.183e-08 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Tue Oct 7 19:22:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243401e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.59e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.59135e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Tue Oct 7 19:22:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e+00 0.00e+00 1.29e+00 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 10 1.8026239717e-12 -9.94e-02 1.29e-08 -3.422788e-02 1.439344e+00 -6.283223e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-12 rel. change during last iteration : -9.93942e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0342279 +/- 2.981e-08 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.0342282 +/- 2.099e-08 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 19:22:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 19:23:43 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e+00 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 2.0449954359e-12 -4.70e-01 2.23e-06 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-12 rel. change during last iteration : -4.70202e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.384879 +/- 3.119e-08 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.0342282 +/- 2.25e-08 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Tue Oct 7 19:23:43 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Tue Oct 7 19:23:43 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e+00 0.00e+00 1.11e+00 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 6 3.5986365056e-12 0.00e+00 1.11e+03 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.709172 +/- 4.145e-08 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.0342282 +/- 2.983e-08 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Tue Oct 7 19:23:43 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952588166e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4911163761e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.85919e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Tue Oct 7 19:23:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e+00 0.00e+00 2.07e+00 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 6 5.6415218291e-12 0.00e+00 2.07e+02 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.926131 +/- 5.192e-08 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.0342282 +/- 3.734e-08 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:23:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738565803e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.95e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.94819e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Tue Oct 7 19:23:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-01 0.00e+00 2.70e+00 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 5 7.0278685636e-12 -2.01e-01 2.70e-05 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-12 rel. change during last iteration : -2.0113e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -1.00234 +/- 5.795e-08 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.0342282 +/- 4.167e-08 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:23:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.30e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.29972e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Tue Oct 7 19:23:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-01 0.00e+00 2.93e+00 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 5 5.1414008745e-12 -9.57e-02 2.93e-05 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-12 rel. change during last iteration : -9.56533e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.92613 +/- 4.957e-08 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.0342282 +/- 3.564e-08 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:23:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Tue Oct 7 19:23:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e+00 0.00e+00 2.71e+00 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 6 3.8711906301e-12 -4.38e-04 2.71e-06 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-12 rel. change during last iteration : -4.37958e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.709172 +/- 4.303e-08 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.0342282 +/- 3.092e-08 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Tue Oct 7 19:23:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Tue Oct 7 19:23:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e+00 0.00e+00 2.08e+00 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 6 1.7082827097e-12 -1.83e-03 2.08e-06 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-12 rel. change during last iteration : -1.83087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.384879 +/- 2.863e-08 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.0342282 +/- 2.053e-08 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Tue Oct 7 19:23:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Tue Oct 7 19:23:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e+00 0.00e+00 1.14e+00 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 10 1.8605598430e-12 -4.22e-02 1.14e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-12 rel. change during last iteration : -4.22235e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.0342452 +/- 3.012e-08 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.0342282 +/- 2.136e-08 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Tue Oct 7 19:23:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Tue Oct 7 19:23:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e+00 0.00e+00 1.12e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 36 1.8595433026e-12 -5.52e-04 1.12e-09 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-12 rel. change during last iteration : -5.52366e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.384881 +/- 2.959e-08 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.0342282 +/- 2.15e-08 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Tue Oct 7 19:23:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Tue Oct 7 19:23:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e+00 0.00e+00 1.26e+00 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 6 3.9636781235e-12 -6.65e-03 1.26e-06 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-12 rel. change during last iteration : -6.65484e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.709173 +/- 4.327e-08 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.0342282 +/- 3.137e-08 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Tue Oct 7 19:23:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Tue Oct 7 19:23:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e+00 0.00e+00 2.34e+00 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 6 5.5511337457e-12 -6.00e-04 2.34e-06 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-12 rel. change during last iteration : -6.00133e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.926131 +/- 5.123e-08 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.0342282 +/- 3.712e-08 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Tue Oct 7 19:23:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020432702e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1568198796e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57912e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Tue Oct 7 19:23:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-01 0.00e+00 3.06e+00 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 5 6.6311705155e-12 -1.12e-01 3.06e-05 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-12 rel. change during last iteration : -1.11855e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -1.00234 +/- 5.599e-08 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.0342282 +/- 4.057e-08 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 19:23:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673734e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994693e-12 -3.67e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.66512e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Tue Oct 7 19:23:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-01 0.00e+00 3.32e+00 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 5 5.9138008972e-12 -7.73e-02 3.32e-05 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-12 rel. change during last iteration : -7.7349e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.92613 +/- 5.288e-08 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.0342282 +/- 3.831e-08 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 19:23:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417888e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6447883867e-12 -5.73e-06 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.7253e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57912e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Tue Oct 7 19:23:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e+00 0.00e+00 3.07e+00 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 5 3.5551026978e-12 -3.14e-02 3.07e-05 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-12 rel. change during last iteration : -3.14098e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.709171 +/- 4.101e-08 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.0342282 +/- 2.97e-08 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Tue Oct 7 19:23:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962740919e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757507e-12 -4.79e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.79117e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Tue Oct 7 19:23:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e+00 0.00e+00 2.36e+00 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 6 1.9226820809e-12 -6.49e-04 2.36e-06 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-12 rel. change during last iteration : -6.49393e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.384877 +/- 3.021e-08 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.0342282 +/- 2.183e-08 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Tue Oct 7 19:23:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243401e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.59e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.59135e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Tue Oct 7 19:23:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e+00 0.00e+00 1.29e+00 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 10 1.8026239717e-12 -9.94e-02 1.29e-08 -3.422788e-02 1.439344e+00 -6.283223e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-12 rel. change during last iteration : -9.93942e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0342279 +/- 2.981e-08 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.0342282 +/- 2.099e-08 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 19:23:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 19:24:26 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e+00 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 2.0449954359e-12 -4.70e-01 2.23e-06 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-12 rel. change during last iteration : -4.70202e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.384879 +/- 3.119e-08 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.0342282 +/- 2.25e-08 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Tue Oct 7 19:24:26 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Tue Oct 7 19:24:26 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e+00 0.00e+00 1.11e+00 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 6 3.5986365056e-12 0.00e+00 1.11e+03 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.709172 +/- 4.145e-08 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.0342282 +/- 2.983e-08 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Tue Oct 7 19:24:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952588166e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4911163761e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.85919e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Tue Oct 7 19:24:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e+00 0.00e+00 2.07e+00 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 6 5.6415218291e-12 0.00e+00 2.07e+02 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.926131 +/- 5.192e-08 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.0342282 +/- 3.734e-08 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:24:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738565803e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.95e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.94819e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Tue Oct 7 19:24:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-01 0.00e+00 2.70e+00 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 5 7.0278685636e-12 -2.01e-01 2.70e-05 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-12 rel. change during last iteration : -2.0113e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -1.00234 +/- 5.795e-08 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.0342282 +/- 4.167e-08 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:24:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.30e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.29972e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Tue Oct 7 19:24:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-01 0.00e+00 2.93e+00 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 5 5.1414008745e-12 -9.57e-02 2.93e-05 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-12 rel. change during last iteration : -9.56533e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.92613 +/- 4.957e-08 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.0342282 +/- 3.564e-08 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 19:24:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Tue Oct 7 19:24:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e+00 0.00e+00 2.71e+00 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 6 3.8711906301e-12 -4.38e-04 2.71e-06 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-12 rel. change during last iteration : -4.37958e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.709172 +/- 4.303e-08 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.0342282 +/- 3.092e-08 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Tue Oct 7 19:24:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Tue Oct 7 19:24:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e+00 0.00e+00 2.08e+00 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 6 1.7082827097e-12 -1.83e-03 2.08e-06 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-12 rel. change during last iteration : -1.83087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.384879 +/- 2.863e-08 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.0342282 +/- 2.053e-08 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Tue Oct 7 19:24:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Tue Oct 7 19:24:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e+00 0.00e+00 1.14e+00 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 10 1.8605598430e-12 -4.22e-02 1.14e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-12 rel. change during last iteration : -4.22235e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.0342452 +/- 3.012e-08 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.0342282 +/- 2.136e-08 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Tue Oct 7 19:24:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Tue Oct 7 19:24:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e+00 0.00e+00 1.12e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 36 1.8595433026e-12 -5.52e-04 1.12e-09 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-12 rel. change during last iteration : -5.52366e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.384881 +/- 2.959e-08 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.0342282 +/- 2.15e-08 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Tue Oct 7 19:24:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Tue Oct 7 19:24:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e+00 0.00e+00 1.26e+00 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 6 3.9636781235e-12 -6.65e-03 1.26e-06 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-12 rel. change during last iteration : -6.65484e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.709173 +/- 4.327e-08 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.0342282 +/- 3.137e-08 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Tue Oct 7 19:24:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Tue Oct 7 19:24:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e+00 0.00e+00 2.34e+00 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 6 5.5511337457e-12 -6.00e-04 2.34e-06 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-12 rel. change during last iteration : -6.00133e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.926131 +/- 5.123e-08 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.0342282 +/- 3.712e-08 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Tue Oct 7 19:24:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020432702e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1568198796e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57912e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Tue Oct 7 19:24:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-01 0.00e+00 3.06e+00 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 5 6.6311705155e-12 -1.12e-01 3.06e-05 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-12 rel. change during last iteration : -1.11855e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -1.00234 +/- 5.599e-08 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.0342282 +/- 4.057e-08 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 19:24:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673734e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994693e-12 -3.67e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.66512e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Tue Oct 7 19:24:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-01 0.00e+00 3.32e+00 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 5 5.9138008972e-12 -7.73e-02 3.32e-05 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-12 rel. change during last iteration : -7.7349e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.92613 +/- 5.288e-08 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.0342282 +/- 3.831e-08 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 19:24:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417888e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6447883867e-12 -5.73e-06 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.7253e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57912e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Tue Oct 7 19:24:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e+00 0.00e+00 3.07e+00 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 5 3.5551026978e-12 -3.14e-02 3.07e-05 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-12 rel. change during last iteration : -3.14098e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.709171 +/- 4.101e-08 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.0342282 +/- 2.97e-08 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Tue Oct 7 19:24:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962740919e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757507e-12 -4.79e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.79117e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Tue Oct 7 19:24:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e+00 0.00e+00 2.36e+00 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 6 1.9226820809e-12 -6.49e-04 2.36e-06 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-12 rel. change during last iteration : -6.49393e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.384877 +/- 3.021e-08 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.0342282 +/- 2.183e-08 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Tue Oct 7 19:24:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243401e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.59e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.59135e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Tue Oct 7 19:24:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e+00 0.00e+00 1.29e+00 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 10 1.8026239717e-12 -9.94e-02 1.29e-08 -3.422788e-02 1.439344e+00 -6.283223e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-12 rel. change during last iteration : -9.93942e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0342279 +/- 2.981e-08 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.0342282 +/- 2.099e-08 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 19:24:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 20:19:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e+00 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 2.0449954359e-12 -4.70e-01 2.23e-06 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-12 rel. change during last iteration : -4.70202e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.384879 +/- 3.119e-08 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.0342282 +/- 2.25e-08 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Tue Oct 7 20:19:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Tue Oct 7 20:19:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e+00 0.00e+00 1.11e+00 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 6 3.5986365056e-12 0.00e+00 1.11e+03 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.709172 +/- 4.145e-08 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.0342282 +/- 2.983e-08 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Tue Oct 7 20:19:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952588166e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4911163761e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.85919e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Tue Oct 7 20:19:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e+00 0.00e+00 2.07e+00 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 6 5.6415218291e-12 0.00e+00 2.07e+02 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.926131 +/- 5.192e-08 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.0342282 +/- 3.734e-08 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 20:19:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738565803e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.95e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.94819e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Tue Oct 7 20:19:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-01 0.00e+00 2.70e+00 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 5 7.0278685636e-12 -2.01e-01 2.70e-05 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-12 rel. change during last iteration : -2.0113e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -1.00234 +/- 5.795e-08 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.0342282 +/- 4.167e-08 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 20:19:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.30e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.29972e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Tue Oct 7 20:19:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-01 0.00e+00 2.93e+00 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 5 5.1414008745e-12 -9.57e-02 2.93e-05 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-12 rel. change during last iteration : -9.56533e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.92613 +/- 4.957e-08 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.0342282 +/- 3.564e-08 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 20:19:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Tue Oct 7 20:19:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e+00 0.00e+00 2.71e+00 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 6 3.8711906301e-12 -4.38e-04 2.71e-06 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-12 rel. change during last iteration : -4.37958e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.709172 +/- 4.303e-08 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.0342282 +/- 3.092e-08 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Tue Oct 7 20:19:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Tue Oct 7 20:19:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e+00 0.00e+00 2.08e+00 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 6 1.7082827097e-12 -1.83e-03 2.08e-06 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-12 rel. change during last iteration : -1.83087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.384879 +/- 2.863e-08 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.0342282 +/- 2.053e-08 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Tue Oct 7 20:19:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Tue Oct 7 20:19:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e+00 0.00e+00 1.14e+00 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 10 1.8605598430e-12 -4.22e-02 1.14e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-12 rel. change during last iteration : -4.22235e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.0342452 +/- 3.012e-08 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.0342282 +/- 2.136e-08 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Tue Oct 7 20:19:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Tue Oct 7 20:19:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e+00 0.00e+00 1.12e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 36 1.8595433026e-12 -5.52e-04 1.12e-09 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-12 rel. change during last iteration : -5.52366e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.384881 +/- 2.959e-08 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.0342282 +/- 2.15e-08 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Tue Oct 7 20:19:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Tue Oct 7 20:19:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e+00 0.00e+00 1.26e+00 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 6 3.9636781235e-12 -6.65e-03 1.26e-06 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-12 rel. change during last iteration : -6.65484e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.709173 +/- 4.327e-08 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.0342282 +/- 3.137e-08 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Tue Oct 7 20:19:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Tue Oct 7 20:19:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e+00 0.00e+00 2.34e+00 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 6 5.5511337457e-12 -6.00e-04 2.34e-06 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-12 rel. change during last iteration : -6.00133e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.926131 +/- 5.123e-08 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.0342282 +/- 3.712e-08 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Tue Oct 7 20:19:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020432702e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1568198796e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57912e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Tue Oct 7 20:19:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-01 0.00e+00 3.06e+00 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 5 6.6311705155e-12 -1.12e-01 3.06e-05 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-12 rel. change during last iteration : -1.11855e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -1.00234 +/- 5.599e-08 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.0342282 +/- 4.057e-08 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 20:19:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673734e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994693e-12 -3.67e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.66512e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Tue Oct 7 20:19:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-01 0.00e+00 3.32e+00 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 5 5.9138008972e-12 -7.73e-02 3.32e-05 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-12 rel. change during last iteration : -7.7349e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.92613 +/- 5.288e-08 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.0342282 +/- 3.831e-08 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 20:19:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417888e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6447883867e-12 -5.73e-06 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.7253e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57912e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Tue Oct 7 20:19:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e+00 0.00e+00 3.07e+00 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 5 3.5551026978e-12 -3.14e-02 3.07e-05 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-12 rel. change during last iteration : -3.14098e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.709171 +/- 4.101e-08 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.0342282 +/- 2.97e-08 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Tue Oct 7 20:19:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962740919e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757507e-12 -4.79e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.79117e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Tue Oct 7 20:19:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e+00 0.00e+00 2.36e+00 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 6 1.9226820809e-12 -6.49e-04 2.36e-06 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-12 rel. change during last iteration : -6.49393e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.384877 +/- 3.021e-08 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.0342282 +/- 2.183e-08 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Tue Oct 7 20:19:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243401e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.59e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.59135e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Tue Oct 7 20:19:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e+00 0.00e+00 1.29e+00 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 10 1.8026239717e-12 -9.94e-02 1.29e-08 -3.422788e-02 1.439344e+00 -6.283223e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-12 rel. change during last iteration : -9.93942e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0342279 +/- 2.981e-08 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.0342282 +/- 2.099e-08 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 20:19:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 20:22:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e+00 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 2.0449954359e-12 -4.70e-01 2.23e-06 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-12 rel. change during last iteration : -4.70202e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.384879 +/- 3.119e-08 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.0342282 +/- 2.25e-08 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Tue Oct 7 20:22:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Tue Oct 7 20:22:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e+00 0.00e+00 1.11e+00 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 6 3.5986365056e-12 0.00e+00 1.11e+03 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.709172 +/- 4.145e-08 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.0342282 +/- 2.983e-08 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Tue Oct 7 20:22:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952588166e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4911163761e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.85919e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Tue Oct 7 20:22:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e+00 0.00e+00 2.07e+00 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 6 5.6415218291e-12 0.00e+00 2.07e+02 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.926131 +/- 5.192e-08 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.0342282 +/- 3.734e-08 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 20:22:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738565803e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.95e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.94819e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Tue Oct 7 20:22:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-01 0.00e+00 2.70e+00 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 5 7.0278685636e-12 -2.01e-01 2.70e-05 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-12 rel. change during last iteration : -2.0113e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -1.00234 +/- 5.795e-08 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.0342282 +/- 4.167e-08 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 20:22:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.30e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.29972e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Tue Oct 7 20:22:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-01 0.00e+00 2.93e+00 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 5 5.1414008745e-12 -9.57e-02 2.93e-05 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-12 rel. change during last iteration : -9.56533e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.92613 +/- 4.957e-08 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.0342282 +/- 3.564e-08 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Tue Oct 7 20:22:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Tue Oct 7 20:22:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e+00 0.00e+00 2.71e+00 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 6 3.8711906301e-12 -4.38e-04 2.71e-06 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-12 rel. change during last iteration : -4.37958e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.709172 +/- 4.303e-08 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.0342282 +/- 3.092e-08 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Tue Oct 7 20:22:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Tue Oct 7 20:22:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e+00 0.00e+00 2.08e+00 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 6 1.7082827097e-12 -1.83e-03 2.08e-06 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-12 rel. change during last iteration : -1.83087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.384879 +/- 2.863e-08 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.0342282 +/- 2.053e-08 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Tue Oct 7 20:22:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Tue Oct 7 20:22:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e+00 0.00e+00 1.14e+00 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 10 1.8605598430e-12 -4.22e-02 1.14e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-12 rel. change during last iteration : -4.22235e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.0342452 +/- 3.012e-08 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.0342282 +/- 2.136e-08 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Tue Oct 7 20:22:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Tue Oct 7 20:22:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e+00 0.00e+00 1.12e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 36 1.8595433026e-12 -5.52e-04 1.12e-09 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-12 rel. change during last iteration : -5.52366e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.384881 +/- 2.959e-08 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.0342282 +/- 2.15e-08 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Tue Oct 7 20:22:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Tue Oct 7 20:22:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e+00 0.00e+00 1.26e+00 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 6 3.9636781235e-12 -6.65e-03 1.26e-06 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-12 rel. change during last iteration : -6.65484e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.709173 +/- 4.327e-08 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.0342282 +/- 3.137e-08 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Tue Oct 7 20:22:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Tue Oct 7 20:22:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e+00 0.00e+00 2.34e+00 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 6 5.5511337457e-12 -6.00e-04 2.34e-06 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-12 rel. change during last iteration : -6.00133e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.926131 +/- 5.123e-08 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.0342282 +/- 3.712e-08 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Tue Oct 7 20:22:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020432702e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1568198796e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57912e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Tue Oct 7 20:22:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-01 0.00e+00 3.06e+00 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 5 6.6311705155e-12 -1.12e-01 3.06e-05 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-12 rel. change during last iteration : -1.11855e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -1.00234 +/- 5.599e-08 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.0342282 +/- 4.057e-08 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 20:22:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673734e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994693e-12 -3.67e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.66512e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Tue Oct 7 20:22:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-01 0.00e+00 3.32e+00 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 5 5.9138008972e-12 -7.73e-02 3.32e-05 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-12 rel. change during last iteration : -7.7349e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.92613 +/- 5.288e-08 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.0342282 +/- 3.831e-08 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Tue Oct 7 20:22:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417888e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6447883867e-12 -5.73e-06 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.7253e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57912e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Tue Oct 7 20:22:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e+00 0.00e+00 3.07e+00 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 5 3.5551026978e-12 -3.14e-02 3.07e-05 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-12 rel. change during last iteration : -3.14098e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.709171 +/- 4.101e-08 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.0342282 +/- 2.97e-08 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Tue Oct 7 20:22:40 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962740919e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757507e-12 -4.79e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.79117e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Tue Oct 7 20:22:40 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e+00 0.00e+00 2.36e+00 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 6 1.9226820809e-12 -6.49e-04 2.36e-06 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-12 rel. change during last iteration : -6.49393e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.384877 +/- 3.021e-08 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.0342282 +/- 2.183e-08 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Tue Oct 7 20:22:40 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243401e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.59e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.59135e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Tue Oct 7 20:22:40 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e+00 0.00e+00 1.29e+00 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 10 1.8026239717e-12 -9.94e-02 1.29e-08 -3.422788e-02 1.439344e+00 -6.283223e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-12 rel. change during last iteration : -9.93942e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0342279 +/- 2.981e-08 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.0342282 +/- 2.099e-08 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Tue Oct 7 20:22:40 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Wed Oct 8 08:43:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e+00 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 2.0449954359e-12 -4.70e-01 2.23e-06 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-12 rel. change during last iteration : -4.70202e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.384879 +/- 3.119e-08 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.0342282 +/- 2.25e-08 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Wed Oct 8 08:43:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Wed Oct 8 08:43:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e+00 0.00e+00 1.11e+00 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 6 3.5986365056e-12 0.00e+00 1.11e+03 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.709172 +/- 4.145e-08 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.0342282 +/- 2.983e-08 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Wed Oct 8 08:43:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952588166e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4911163761e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.85919e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Wed Oct 8 08:43:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e+00 0.00e+00 2.07e+00 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 6 5.6415218291e-12 0.00e+00 2.07e+02 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.926131 +/- 5.192e-08 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.0342282 +/- 3.734e-08 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Wed Oct 8 08:43:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738565803e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.95e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.94819e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Wed Oct 8 08:43:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-01 0.00e+00 2.70e+00 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 5 7.0278685636e-12 -2.01e-01 2.70e-05 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-12 rel. change during last iteration : -2.0113e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -1.00234 +/- 5.795e-08 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.0342282 +/- 4.167e-08 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Wed Oct 8 08:43:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.30e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.29972e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Wed Oct 8 08:43:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-01 0.00e+00 2.93e+00 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 5 5.1414008745e-12 -9.57e-02 2.93e-05 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-12 rel. change during last iteration : -9.56533e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.92613 +/- 4.957e-08 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.0342282 +/- 3.564e-08 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Wed Oct 8 08:43:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Wed Oct 8 08:43:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e+00 0.00e+00 2.71e+00 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 6 3.8711906301e-12 -4.38e-04 2.71e-06 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-12 rel. change during last iteration : -4.37958e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.709172 +/- 4.303e-08 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.0342282 +/- 3.092e-08 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Wed Oct 8 08:43:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Wed Oct 8 08:43:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e+00 0.00e+00 2.08e+00 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 6 1.7082827097e-12 -1.83e-03 2.08e-06 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-12 rel. change during last iteration : -1.83087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.384879 +/- 2.863e-08 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.0342282 +/- 2.053e-08 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Wed Oct 8 08:43:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Wed Oct 8 08:43:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e+00 0.00e+00 1.14e+00 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 10 1.8605598430e-12 -4.22e-02 1.14e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-12 rel. change during last iteration : -4.22235e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.0342452 +/- 3.012e-08 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.0342282 +/- 2.136e-08 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Wed Oct 8 08:43:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Wed Oct 8 08:43:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e+00 0.00e+00 1.12e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 36 1.8595433026e-12 -5.52e-04 1.12e-09 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-12 rel. change during last iteration : -5.52366e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.384881 +/- 2.959e-08 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.0342282 +/- 2.15e-08 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Wed Oct 8 08:43:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Wed Oct 8 08:43:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e+00 0.00e+00 1.26e+00 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 6 3.9636781235e-12 -6.65e-03 1.26e-06 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-12 rel. change during last iteration : -6.65484e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.709173 +/- 4.327e-08 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.0342282 +/- 3.137e-08 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Wed Oct 8 08:43:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Wed Oct 8 08:43:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e+00 0.00e+00 2.34e+00 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 6 5.5511337457e-12 -6.00e-04 2.34e-06 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-12 rel. change during last iteration : -6.00133e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.926131 +/- 5.123e-08 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.0342282 +/- 3.712e-08 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Wed Oct 8 08:43:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020432702e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1568198796e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57912e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Wed Oct 8 08:43:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-01 0.00e+00 3.06e+00 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 5 6.6311705155e-12 -1.12e-01 3.06e-05 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-12 rel. change during last iteration : -1.11855e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -1.00234 +/- 5.599e-08 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.0342282 +/- 4.057e-08 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Wed Oct 8 08:43:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673734e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994693e-12 -3.67e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.66512e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Wed Oct 8 08:43:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-01 0.00e+00 3.32e+00 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 5 5.9138008972e-12 -7.73e-02 3.32e-05 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-12 rel. change during last iteration : -7.7349e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.92613 +/- 5.288e-08 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.0342282 +/- 3.831e-08 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Wed Oct 8 08:43:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417888e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6447883867e-12 -5.73e-06 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.7253e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57912e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Wed Oct 8 08:43:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e+00 0.00e+00 3.07e+00 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 5 3.5551026978e-12 -3.14e-02 3.07e-05 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-12 rel. change during last iteration : -3.14098e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.709171 +/- 4.101e-08 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.0342282 +/- 2.97e-08 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Wed Oct 8 08:43:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962740919e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757507e-12 -4.79e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.79117e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Wed Oct 8 08:43:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e+00 0.00e+00 2.36e+00 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 6 1.9226820809e-12 -6.49e-04 2.36e-06 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-12 rel. change during last iteration : -6.49393e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.384877 +/- 3.021e-08 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.0342282 +/- 2.183e-08 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Wed Oct 8 08:43:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243401e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.59e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.59135e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Wed Oct 8 08:43:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e+00 0.00e+00 1.29e+00 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 10 1.8026239717e-12 -9.94e-02 1.29e-08 -3.422788e-02 1.439344e+00 -6.283223e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-12 rel. change during last iteration : -9.93942e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0342279 +/- 2.981e-08 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.0342282 +/- 2.099e-08 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Wed Oct 8 08:43:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Wed Oct 8 08:45:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e+00 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 2.0449954359e-12 -4.70e-01 2.23e-06 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-12 rel. change during last iteration : -4.70202e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.384879 +/- 3.119e-08 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.0342282 +/- 2.25e-08 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Wed Oct 8 08:45:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Wed Oct 8 08:45:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e+00 0.00e+00 1.11e+00 -3.848794e-01 1.439343e+00 -1.488542e+00 3.422820e-02 6 3.5986365056e-12 0.00e+00 1.11e+03 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.709172 +/- 4.145e-08 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.0342282 +/- 2.983e-08 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Wed Oct 8 08:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952588166e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4911163761e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.85919e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Wed Oct 8 08:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e+00 0.00e+00 2.07e+00 -7.091721e-01 1.439343e+00 -1.536664e+00 3.422820e-02 6 5.6415218291e-12 0.00e+00 2.07e+02 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.926131 +/- 5.192e-08 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.0342282 +/- 3.734e-08 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Wed Oct 8 08:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738565803e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.95e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.94819e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Wed Oct 8 08:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-01 0.00e+00 2.70e+00 -9.261305e-01 1.439343e+00 -1.556658e+00 3.422819e-02 5 7.0278685636e-12 -2.01e-01 2.70e-05 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-12 rel. change during last iteration : -2.0113e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -1.00234 +/- 5.795e-08 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.0342282 +/- 4.167e-08 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Wed Oct 8 08:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.30e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.29972e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Wed Oct 8 08:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-01 0.00e+00 2.93e+00 -1.002336e+00 1.439343e+00 -1.570804e+00 3.422817e-02 5 5.1414008745e-12 -9.57e-02 2.93e-05 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-12 rel. change during last iteration : -9.56533e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.92613 +/- 4.957e-08 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.0342282 +/- 3.564e-08 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Wed Oct 8 08:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Wed Oct 8 08:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e+00 0.00e+00 2.71e+00 -9.261302e-01 1.439343e+00 -1.584952e+00 3.422819e-02 6 3.8711906301e-12 -4.38e-04 2.71e-06 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-12 rel. change during last iteration : -4.37958e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.709172 +/- 4.303e-08 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.0342282 +/- 3.092e-08 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Wed Oct 8 08:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Wed Oct 8 08:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e+00 0.00e+00 2.08e+00 -7.091716e-01 1.439343e+00 -1.604951e+00 3.422819e-02 6 1.7082827097e-12 -1.83e-03 2.08e-06 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-12 rel. change during last iteration : -1.83087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.384879 +/- 2.863e-08 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.0342282 +/- 2.053e-08 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Wed Oct 8 08:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Wed Oct 8 08:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e+00 0.00e+00 1.14e+00 -3.848793e-01 1.439343e+00 -1.653093e+00 3.422820e-02 10 1.8605598430e-12 -4.22e-02 1.14e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-12 rel. change during last iteration : -4.22235e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.0342452 +/- 3.012e-08 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.0342282 +/- 2.136e-08 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Wed Oct 8 08:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Wed Oct 8 08:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e+00 0.00e+00 1.12e-01 -3.424517e-02 1.439341e+00 -3.141608e+00 3.422823e-02 36 1.8595433026e-12 -5.52e-04 1.12e-09 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-12 rel. change during last iteration : -5.52366e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.384881 +/- 2.959e-08 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.0342282 +/- 2.15e-08 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Wed Oct 8 08:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Wed Oct 8 08:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e+00 0.00e+00 1.26e+00 -3.848807e-01 1.439343e+00 -4.630092e+00 3.422819e-02 6 3.9636781235e-12 -6.65e-03 1.26e-06 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-12 rel. change during last iteration : -6.65484e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.709173 +/- 4.327e-08 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.0342282 +/- 3.137e-08 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Wed Oct 8 08:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Wed Oct 8 08:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e+00 0.00e+00 2.34e+00 -7.091726e-01 1.439343e+00 -4.678234e+00 3.422820e-02 6 5.5511337457e-12 -6.00e-04 2.34e-06 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-12 rel. change during last iteration : -6.00133e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.926131 +/- 5.123e-08 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.0342282 +/- 3.712e-08 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Wed Oct 8 08:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020432702e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1568198796e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57912e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Wed Oct 8 08:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-01 0.00e+00 3.06e+00 -9.261306e-01 1.439343e+00 -4.698232e+00 3.422819e-02 5 6.6311705155e-12 -1.12e-01 3.06e-05 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-12 rel. change during last iteration : -1.11855e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -1.00234 +/- 5.599e-08 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.0342282 +/- 4.057e-08 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Wed Oct 8 08:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673734e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994693e-12 -3.67e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.66512e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Wed Oct 8 08:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-01 0.00e+00 3.32e+00 -1.002336e+00 1.439343e+00 -4.712380e+00 3.422821e-02 5 5.9138008972e-12 -7.73e-02 3.32e-05 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-12 rel. change during last iteration : -7.7349e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.92613 +/- 5.288e-08 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.0342282 +/- 3.831e-08 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Wed Oct 8 08:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417888e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6447883867e-12 -5.73e-06 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.7253e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57912e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Wed Oct 8 08:45:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e+00 0.00e+00 3.07e+00 -9.261295e-01 1.439343e+00 -4.726527e+00 3.422821e-02 5 3.5551026978e-12 -3.14e-02 3.07e-05 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-12 rel. change during last iteration : -3.14098e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.709171 +/- 4.101e-08 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.0342282 +/- 2.97e-08 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Wed Oct 8 08:45:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962740919e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757507e-12 -4.79e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.79117e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Wed Oct 8 08:45:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e+00 0.00e+00 2.36e+00 -7.091706e-01 1.439343e+00 -4.746521e+00 3.422820e-02 6 1.9226820809e-12 -6.49e-04 2.36e-06 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-12 rel. change during last iteration : -6.49393e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.384877 +/- 3.021e-08 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.0342282 +/- 2.183e-08 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Wed Oct 8 08:45:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243401e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.59e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.59135e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Wed Oct 8 08:45:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e+00 0.00e+00 1.29e+00 -3.848774e-01 1.439343e+00 -4.794643e+00 3.422820e-02 10 1.8026239717e-12 -9.94e-02 1.29e-08 -3.422788e-02 1.439344e+00 -6.283223e+00 3.422823e-02 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-12 rel. change during last iteration : -9.93942e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0342279 +/- 2.981e-08 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.0342282 +/- 2.099e-08 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Wed Oct 8 08:45:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Wed Oct 8 08:48:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 8.7811506732e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 8 6.5132339220e-12 -4.93e-03 2.23e-08 9.261295e-01 1.439343e+00 -1.584943e+00 -3.569392e-07 After 8 iterations the fit converged. final sum of squares of residuals : 6.51323e-12 rel. change during last iteration : -4.92637e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.21535e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03385e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = 0.92613 +/- 5.595e-08 (6.041e-06%) b[1] = 1.43934 +/- 2.108e-08 (1.465e-06%) c[1] = -1.58494 +/- 1.176e-07 (7.419e-06%) d[1] = -3.56939e-07 +/- 4.007e-08 (11.23%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] 0.022 1.000 c[1] -0.048 -0.858 1.000 d[1] -0.107 -0.130 0.060 1.000 ******************************************************************************* Wed Oct 8 08:48:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Wed Oct 8 08:48:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 1.6056854381e+00 0.00e+00 2.71e+00 9.261295e-01 1.439343e+00 -1.584943e+00 -3.569392e-07 5 4.4346537336e-12 -9.40e-01 2.71e-05 7.091710e-01 1.439343e+00 -1.604939e+00 -3.569393e-07 After 5 iterations the fit converged. final sum of squares of residuals : 4.43465e-12 rel. change during last iteration : -9.40222e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.65314e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.03913e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = 0.709171 +/- 4.618e-08 (6.512e-06%) b[2] = 1.43934 +/- 2.268e-08 (1.576e-06%) c[2] = -1.60494 +/- 1.267e-07 (7.897e-06%) d[2] = -3.56939e-07 +/- 3.306e-08 (9.263%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] 0.021 1.000 c[2] -0.048 -0.858 1.000 d[2] -0.106 -0.129 0.059 1.000 ******************************************************************************* Wed Oct 8 08:48:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5963512783e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4924891241e-12 -2.87e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49249e-12 rel. change during last iteration : -2.86831e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95267e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71824e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.293e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Wed Oct 8 08:48:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 3.5819105327e+00 0.00e+00 2.08e+00 7.091710e-01 1.439343e+00 -1.604939e+00 -3.569393e-07 9 3.1795283587e-12 -1.76e-03 2.08e-06 3.848785e-01 1.439343e+00 -1.653071e+00 -3.491468e-07 After 9 iterations the fit converged. final sum of squares of residuals : 3.17953e-12 rel. change during last iteration : -1.76388e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.24652e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.04687e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = 0.384879 +/- 3.918e-08 (1.018e-05%) b[3] = 1.43934 +/- 3.513e-08 (2.441e-06%) c[3] = -1.65307 +/- 1.969e-07 (1.191e-05%) d[3] = -3.49147e-07 +/- 2.798e-08 (8.013%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] 0.018 1.000 c[3] -0.045 -0.857 1.000 d[3] -0.102 -0.124 0.052 1.000 ******************************************************************************* Wed Oct 8 08:48:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738775535e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.93e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.9306e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Wed Oct 8 08:48:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 4.9798148564e+00 0.00e+00 1.14e+00 3.848785e-01 1.439343e+00 -1.653071e+00 -3.491468e-07 11 1.0478170074e-12 -4.79e-03 1.14e-09 3.423639e-02 1.439345e+00 -3.141622e+00 -3.309385e-07 After 11 iterations the fit converged. final sum of squares of residuals : 1.04782e-12 rel. change during last iteration : -4.78801e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.28965e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.6632e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = 0.0342364 +/- 2.254e-08 (6.584e-05%) b[4] = 1.43934 +/- 2.24e-07 (1.556e-05%) c[4] = -3.14162 +/- 1.317e-06 (4.192e-05%) d[4] = -3.30939e-07 +/- 1.604e-08 (4.848%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] 0.014 1.000 c[4] 0.015 -0.868 1.000 d[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Wed Oct 8 08:48:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.32e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.31702e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Wed Oct 8 08:48:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 4.9796992744e+00 0.00e+00 1.10e-01 3.423639e-02 1.439345e+00 -3.141622e+00 -3.309385e-07 35 2.9646559650e-12 -1.35e-03 1.10e-09 3.848798e-01 1.439343e+00 -4.630114e+00 -3.403524e-07 After 35 iterations the fit converged. final sum of squares of residuals : 2.96466e-12 rel. change during last iteration : -1.35132e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.16929e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.7058e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = 0.38488 +/- 3.746e-08 (9.732e-06%) b[5] = 1.43934 +/- 3.536e-08 (2.457e-06%) c[5] = -4.63011 +/- 1.974e-07 (4.263e-06%) d[5] = -3.40352e-07 +/- 2.712e-08 (7.969%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] 0.042 1.000 c[5] -0.064 -0.865 1.000 d[5] 0.124 0.152 -0.090 1.000 ******************************************************************************* Wed Oct 8 08:48:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Wed Oct 8 08:48:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.5793409881e+00 0.00e+00 1.26e+00 3.848798e-01 1.439343e+00 -4.630114e+00 -3.403524e-07 6 4.9072384974e-12 -1.04e-06 1.26e+02 7.091722e-01 1.439343e+00 -4.678246e+00 -3.403525e-07 After 6 iterations the fit converged. final sum of squares of residuals : 4.90724e-12 rel. change during last iteration : -1.04078e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79093e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78927e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.709172 +/- 4.828e-08 (6.808e-06%) b[6] = 1.43934 +/- 2.451e-08 (1.703e-06%) c[6] = -4.67825 +/- 1.371e-07 (2.931e-06%) d[6] = -3.40352e-07 +/- 3.487e-08 (10.24%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.038 1.000 c[6] -0.061 -0.864 1.000 d[6] 0.121 0.147 -0.083 1.000 ******************************************************************************* Wed Oct 8 08:48:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Wed Oct 8 08:48:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 1.5982112288e+00 0.00e+00 2.34e+00 7.091722e-01 1.439343e+00 -4.678246e+00 -3.403525e-07 6 6.2779891489e-12 -8.48e-01 2.34e-06 9.261303e-01 1.439343e+00 -4.698242e+00 -3.404270e-07 After 6 iterations the fit converged. final sum of squares of residuals : 6.27799e-12 rel. change during last iteration : -8.47586e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.15675e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.96506e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.92613 +/- 5.462e-08 (5.898e-06%) b[7] = 1.43934 +/- 2.119e-08 (1.472e-06%) c[7] = -4.69824 +/- 1.188e-07 (2.528e-06%) d[7] = -3.40427e-07 +/- 3.943e-08 (11.58%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.037 1.000 c[7] -0.061 -0.864 1.000 d[7] 0.120 0.146 -0.082 1.000 ******************************************************************************* Wed Oct 8 08:48:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Wed Oct 8 08:48:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 1.9947904720e-01 0.00e+00 3.06e+00 9.261303e-01 1.439343e+00 -4.698242e+00 -3.404270e-07 5 8.0362319437e-12 -7.10e-02 3.06e-05 1.002336e+00 1.439343e+00 -4.712389e+00 -3.404279e-07 After 5 iterations the fit converged. final sum of squares of residuals : 8.03623e-12 rel. change during last iteration : -7.09978e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.57154e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.27559e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 1.00234 +/- 6.18e-08 (6.166e-06%) b[8] = 1.43934 +/- 2.215e-08 (1.539e-06%) c[8] = -4.71239 +/- 1.243e-07 (2.638e-06%) d[8] = -3.40428e-07 +/- 4.461e-08 (13.11%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.037 1.000 c[8] -0.061 -0.865 1.000 d[8] 0.120 0.146 -0.082 1.000 ******************************************************************************* Wed Oct 8 08:48:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Wed Oct 8 08:48:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.0861557810e-01 0.00e+00 3.32e+00 1.002336e+00 1.439343e+00 -4.712389e+00 -3.404279e-07 5 6.5539201553e-12 -8.10e-03 3.32e-05 9.261296e-01 1.439343e+00 -4.726536e+00 -3.404275e-07 After 5 iterations the fit converged. final sum of squares of residuals : 6.55392e-12 rel. change during last iteration : -8.09932e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22538e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.0403e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.92613 +/- 5.582e-08 (6.027e-06%) b[9] = 1.43934 +/- 2.165e-08 (1.504e-06%) c[9] = -4.72654 +/- 1.217e-07 (2.574e-06%) d[9] = -3.40428e-07 +/- 4.029e-08 (11.83%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.037 1.000 c[9] -0.061 -0.865 1.000 d[9] 0.120 0.146 -0.082 1.000 ******************************************************************************* Wed Oct 8 08:48:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Wed Oct 8 08:48:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.6277870933e+00 0.00e+00 3.08e+00 9.261296e-01 1.439343e+00 -4.726536e+00 -3.404275e-07 5 4.6241508703e-12 -3.24e-01 3.08e-05 7.091709e-01 1.439343e+00 -4.746532e+00 -3.404280e-07 After 5 iterations the fit converged. final sum of squares of residuals : 4.62415e-12 rel. change during last iteration : -3.24161e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.70923e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.33992e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.709171 +/- 4.69e-08 (6.613e-06%) b[10] = 1.43934 +/- 2.371e-08 (1.647e-06%) c[10] = -4.74653 +/- 1.335e-07 (2.813e-06%) d[10] = -3.40428e-07 +/- 3.384e-08 (9.939%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.036 1.000 c[10] -0.060 -0.865 1.000 d[10] 0.119 0.145 -0.081 1.000 ******************************************************************************* Wed Oct 8 08:48:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Wed Oct 8 08:48:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 3.6317302888e+00 0.00e+00 2.36e+00 7.091709e-01 1.439343e+00 -4.746532e+00 -3.404280e-07 9 3.1876343567e-12 -2.09e-03 2.36e-06 3.848781e-01 1.439343e+00 -4.794665e+00 -3.340422e-07 After 9 iterations the fit converged. final sum of squares of residuals : 3.18763e-12 rel. change during last iteration : -2.0893e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.24939e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.05974e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.384878 +/- 3.901e-08 (1.014e-05%) b[11] = 1.43934 +/- 3.6e-08 (2.501e-06%) c[11] = -4.79466 +/- 2.032e-07 (4.238e-06%) d[11] = -3.34042e-07 +/- 2.807e-08 (8.404%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.032 1.000 c[11] -0.057 -0.864 1.000 d[11] 0.115 0.140 -0.074 1.000 ******************************************************************************* Wed Oct 8 08:48:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2622425886e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2139470679e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.21395e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.27611e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.054e-08 (5.054e-06%) bb[11] = 1.43934 +/- 1.68e-08 (1.167e-06%) cc[11] = -3.14159 +/- 9.992e-08 (3.181e-06%) dd[11] = -2.57912e-09 +/- 3.573e-08 (1385%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Wed Oct 8 08:48:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0491924786e+00 0.00e+00 1.29e+00 3.848781e-01 1.439343e+00 -4.794665e+00 -3.340422e-07 11 1.0425897866e-12 -1.92e-03 1.29e-09 3.423666e-02 1.439341e+00 -6.283209e+00 -3.296825e-07 After 11 iterations the fit converged. final sum of squares of residuals : 1.04259e-12 rel. change during last iteration : -1.91877e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.28643e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.6549e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.0342367 +/- 2.261e-08 (6.605e-05%) b[12] = 1.43934 +/- 2.188e-07 (1.52e-05%) c[12] = -6.28321 +/- 1.304e-06 (2.075e-05%) d[12] = -3.29682e-07 +/- 1.597e-08 (4.845%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.006 1.000 c[12] 0.019 -0.868 1.000 d[12] -0.083 -0.098 0.145 1.000 ******************************************************************************* Wed Oct 8 08:48:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7414122115e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994704e-12 -3.25e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.25146e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Wed Oct 8 08:48:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 5.0490798865e+00 0.00e+00 1.30e-01 3.423666e-02 1.439341e+00 -6.283209e+00 -3.296825e-07 38 3.0236727581e-12 0.00e+00 1.30e+03 3.848802e-01 1.439343e+00 -7.771705e+00 -3.325333e-07 After 38 iterations the fit converged. final sum of squares of residuals : 3.02367e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.19077e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79948e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.38488 +/- 3.765e-08 (9.782e-06%) b[13] = 1.43934 +/- 3.654e-08 (2.538e-06%) c[13] = -7.77171 +/- 2.059e-07 (2.649e-06%) d[13] = -3.32533e-07 +/- 2.745e-08 (8.255%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.057 1.000 c[13] -0.075 -0.873 1.000 d[13] -0.136 -0.166 0.111 1.000 ******************************************************************************* Wed Oct 8 08:48:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8106660286e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6089720219e-12 -2.14e-05 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.60897e-12 rel. change during last iteration : -2.14451e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98381e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.90313e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.249e-08 (5.249e-06%) bb[13] = 1.43934 +/- 1.733e-08 (1.204e-06%) cc[13] = -3.14159 +/- 1.034e-07 (3.293e-06%) dd[13] = -2.57912e-09 +/- 3.704e-08 (1436%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Wed Oct 8 08:48:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.6292934794e+00 0.00e+00 1.51e+00 3.848802e-01 1.439343e+00 -7.771705e+00 -3.325333e-07 8 5.0389736329e-12 -7.68e-01 1.51e-08 7.091723e-01 1.439343e+00 -7.819838e+00 -3.284370e-07 After 8 iterations the fit converged. final sum of squares of residuals : 5.03897e-12 rel. change during last iteration : -7.67638e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82814e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.99837e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.709172 +/- 4.868e-08 (6.864e-06%) b[14] = 1.43934 +/- 2.541e-08 (1.766e-06%) c[14] = -7.81984 +/- 1.435e-07 (1.835e-06%) d[14] = -3.28437e-07 +/- 3.541e-08 (10.78%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] 0.053 1.000 c[14] -0.073 -0.872 1.000 d[14] -0.133 -0.161 0.104 1.000 ******************************************************************************* Wed Oct 8 08:48:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4927671217e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757497e-12 -5.16e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -5.16281e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Wed Oct 8 08:48:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 1.6207196608e+00 0.00e+00 2.80e+00 7.091723e-01 1.439343e+00 -7.819838e+00 -3.284370e-07 6 6.5907663015e-12 -9.76e-02 2.80e-06 9.261302e-01 1.439343e+00 -7.839834e+00 -3.284574e-07 After 6 iterations the fit converged. final sum of squares of residuals : 6.59077e-12 rel. change during last iteration : -9.76357e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.23443e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04615e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.92613 +/- 5.569e-08 (6.013e-06%) b[15] = 1.43934 +/- 2.223e-08 (1.544e-06%) c[15] = -7.83983 +/- 1.257e-07 (1.603e-06%) d[15] = -3.28457e-07 +/- 4.049e-08 (12.33%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] 0.052 1.000 c[15] -0.072 -0.872 1.000 d[15] -0.132 -0.161 0.103 1.000 ******************************************************************************* Wed Oct 8 08:48:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243231e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.61e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.60522e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Wed Oct 8 08:48:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.0240031787e-01 0.00e+00 3.67e+00 9.261302e-01 1.439343e+00 -7.839834e+00 -3.284574e-07 5 7.6619827599e-12 -9.79e-02 3.67e-05 1.002335e+00 1.439343e+00 -7.853981e+00 -3.284587e-07 After 5 iterations the fit converged. final sum of squares of residuals : 7.66198e-12 rel. change during last iteration : -9.79436e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.48739e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.21619e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = 1.00234 +/- 6.004e-08 (5.99e-06%) b[16] = 1.43934 +/- 2.214e-08 (1.538e-06%) c[16] = -7.85398 +/- 1.254e-07 (1.596e-06%) d[16] = -3.28459e-07 +/- 4.366e-08 (13.29%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.052 1.000 c[16] -0.072 -0.872 1.000 d[16] -0.132 -0.161 0.103 1.000 ******************************************************************************* Wed Oct 8 08:48:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Thu Oct 9 11:45:06 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.0435576992e+02 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 19 1.1095257447e-11 -1.80e-04 2.23e-09 -1.261730e+00 1.439336e+00 2.322717e+00 -1.414481e-06 After 19 iterations the fit converged. final sum of squares of residuals : 1.10953e-11 rel. change during last iteration : -1.79898e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.19661e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.76115e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -1.26173 +/- 7.119e-08 (5.642e-06%) b[1] = 1.43934 +/- 2.268e-08 (1.575e-06%) c[1] = 2.32272 +/- 1.267e-07 (5.453e-06%) d[1] = -1.41448e-06 +/- 5.293e-08 (3.742%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.069 -0.883 1.000 d[1] 0.163 -0.200 0.176 1.000 ******************************************************************************* Thu Oct 9 11:45:06 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1479213681e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0805823849e-12 -2.11e-04 3.04e-08 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.08058e-12 rel. change during last iteration : -2.11331e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83979e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.06442e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.953e-08 (4.953e-06%) bb[1] = 1.43934 +/- 1.703e-08 (1.183e-06%) cc[1] = -3.14159 +/- 9.958e-08 (3.17e-06%) dd[1] = -1.06726e-08 +/- 3.535e-08 (331.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Thu Oct 9 11:45:06 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 1.8631792526e+01 0.00e+00 3.66e+00 -1.261730e+00 1.439336e+00 2.322717e+00 -1.414481e-06 9 2.1332493544e-11 -2.29e-05 3.66e-06 -1.741520e+00 1.439336e+00 2.724614e+00 -1.381601e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.13325e-11 rel. change during last iteration : -2.29278e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.81903e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38611e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -1.74152 +/- 9.95e-08 (5.714e-06%) b[2] = 1.43934 +/- 2.182e-08 (1.516e-06%) c[2] = 2.72461 +/- 1.251e-07 (4.592e-06%) d[2] = -1.3816e-06 +/- 7.305e-08 (5.287%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.056 1.000 c[2] 0.029 -0.881 1.000 d[2] 0.144 -0.176 0.182 1.000 ******************************************************************************* Thu Oct 9 11:45:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 3.8738235503e-11 0.00e+00 3.19e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.5450267676e-12 -2.07e-01 3.19e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.54503e-12 rel. change during last iteration : -2.07164e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96675e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.80163e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.178e-08 (5.178e-06%) bb[2] = 1.43934 +/- 1.774e-08 (1.233e-06%) cc[2] = -3.1416 +/- 1.039e-07 (3.308e-06%) dd[2] = -1.06726e-08 +/- 3.693e-08 (346%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Thu Oct 9 11:45:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.0736782997e+01 0.00e+00 5.27e+00 -1.741520e+00 1.439336e+00 2.724614e+00 -1.381601e-06 9 3.0393444993e-11 -3.31e-07 5.27e+01 -2.115009e+00 1.439336e+00 2.960119e+00 -1.457384e-06 After 9 iterations the fit converged. final sum of squares of residuals : 3.03934e-11 rel. change during last iteration : -3.31139e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.94576e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.82436e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -2.11501 +/- 1.201e-07 (5.68e-06%) b[3] = 1.43934 +/- 2.037e-08 (1.415e-06%) c[3] = 2.96012 +/- 1.186e-07 (4.008e-06%) d[3] = -1.45738e-06 +/- 8.674e-08 (5.952%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.030 1.000 c[3] -0.001 -0.874 1.000 d[3] 0.119 -0.144 0.169 1.000 ******************************************************************************* Thu Oct 9 11:45:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 3.7451619270e-11 0.00e+00 3.20e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 4.9590241140e-12 -2.25e-01 3.20e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.95902e-12 rel. change during last iteration : -2.24888e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80561e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.87147e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.9e-08 (4.9e-06%) bb[3] = 1.43934 +/- 1.673e-08 (1.162e-06%) cc[3] = -3.14159 +/- 9.819e-08 (3.126e-06%) dd[3] = -1.06726e-08 +/- 3.491e-08 (327.1%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Thu Oct 9 11:45:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 5.6060492636e+00 0.00e+00 6.63e+00 -2.115009e+00 1.439336e+00 2.960119e+00 -1.457384e-06 9 3.1073481029e-11 -8.40e-04 6.63e-09 -2.251603e+00 1.439336e+00 3.141593e+00 -1.368605e-06 After 9 iterations the fit converged. final sum of squares of residuals : 3.10735e-11 rel. change during last iteration : -8.40341e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.02303e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.9323e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -2.2516 +/- 1.228e-07 (5.452e-06%) b[4] = 1.43934 +/- 1.855e-08 (1.289e-06%) c[4] = 3.14159 +/- 1.091e-07 (3.471e-06%) d[4] = -1.3686e-06 +/- 8.737e-08 (6.384%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.008 1.000 c[4] -0.021 -0.868 1.000 d[4] 0.096 -0.115 0.155 1.000 ******************************************************************************* Thu Oct 9 11:45:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 1.8358062317e-10 0.00e+00 3.21e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.7366633433e-12 -9.16e-01 3.21e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73666e-12 rel. change during last iteration : -9.16036e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01758e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10581e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.274e-08 (5.274e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.055e-07 (3.358e-06%) dd[4] = -1.06726e-08 +/- 3.754e-08 (351.7%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Thu Oct 9 11:45:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 6.2017554658e+00 0.00e+00 7.24e+00 -2.251603e+00 1.439336e+00 3.141593e+00 -1.368605e-06 5 2.4594983565e-11 -9.43e-01 7.24e-05 -2.115008e+00 1.439336e+00 3.323067e+00 -1.368625e-06 After 5 iterations the fit converged. final sum of squares of residuals : 2.4595e-11 rel. change during last iteration : -9.43133e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.24817e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.90397e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -2.11501 +/- 1.103e-07 (5.217e-06%) b[5] = 1.43934 +/- 1.694e-08 (1.177e-06%) c[5] = 3.32307 +/- 1.001e-07 (3.012e-06%) d[5] = -1.36863e-06 +/- 7.749e-08 (5.662%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] 0.010 1.000 c[5] -0.034 -0.862 1.000 d[5] 0.070 -0.084 0.137 1.000 ******************************************************************************* Thu Oct 9 11:45:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 1.8511539088e-10 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.8942154726e-12 0.00e+00 3.22e+02 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.89422e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78722e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.7686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.875e-08 (4.875e-06%) bb[5] = 1.43934 +/- 1.653e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.736e-08 (3.099e-06%) dd[5] = -1.06726e-08 +/- 3.467e-08 (324.8%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Thu Oct 9 11:45:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.2133046241e+01 0.00e+00 6.96e+00 -2.115008e+00 1.439336e+00 3.323067e+00 -1.368625e-06 9 1.9021873489e-11 -7.98e-04 6.96e-09 -1.741519e+00 1.439336e+00 3.558573e+00 -1.412157e-06 After 9 iterations the fit converged. final sum of squares of residuals : 1.90219e-11 rel. change during last iteration : -7.97534e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.49486e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.01934e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -1.74152 +/- 9.799e-08 (5.627e-06%) b[6] = 1.43934 +/- 1.752e-08 (1.217e-06%) c[6] = 3.55857 +/- 1.035e-07 (2.908e-06%) d[6] = -1.41216e-06 +/- 6.797e-08 (4.813%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.025 1.000 c[6] -0.038 -0.855 1.000 d[6] 0.037 -0.044 0.112 1.000 ******************************************************************************* Thu Oct 9 11:45:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 3.7728907498e-11 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.6471858074e-12 -1.73e-01 3.22e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.64719e-12 rel. change during last iteration : -1.72968e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99396e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.96379e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.241e-08 (5.241e-06%) bb[6] = 1.43934 +/- 1.771e-08 (1.23e-06%) cc[6] = -3.14159 +/- 1.045e-07 (3.326e-06%) dd[6] = -1.06726e-08 +/- 3.723e-08 (348.8%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Thu Oct 9 11:45:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 1.9903601954e+01 0.00e+00 5.85e+00 -1.741519e+00 1.439336e+00 3.558573e+00 -1.412157e-06 6 9.5915737287e-12 -9.98e-01 5.85e-06 -1.261728e+00 1.439336e+00 3.960470e+00 -1.411989e-06 After 6 iterations the fit converged. final sum of squares of residuals : 9.59157e-12 rel. change during last iteration : -9.97831e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.90189e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.52247e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -1.26173 +/- 6.978e-08 (5.531e-06%) b[7] = 1.43934 +/- 1.703e-08 (1.183e-06%) c[7] = 3.96047 +/- 9.914e-08 (2.503e-06%) d[7] = -1.41199e-06 +/- 4.823e-08 (3.416%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.030 1.000 c[7] -0.018 -0.849 1.000 d[7] -0.020 0.025 0.058 1.000 ******************************************************************************* Thu Oct 9 11:45:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 3.5390677633e-11 0.00e+00 3.23e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.0487608087e-12 -1.56e-01 3.23e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.04876e-12 rel. change during last iteration : -1.55757e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83088e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01391e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.959e-08 (4.959e-06%) bb[7] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[7] = -3.14159 +/- 9.869e-08 (3.142e-06%) dd[7] = -1.06726e-08 +/- 3.519e-08 (329.7%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Thu Oct 9 11:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 2.4955371324e+01 0.00e+00 4.29e+00 -1.261728e+00 1.439336e+00 3.960470e+00 -1.411989e-06 9 5.0210436815e-12 -1.80e-04 4.29e-09 -9.974681e-01 1.439336e+00 4.712390e+00 -1.433899e-06 After 9 iterations the fit converged. final sum of squares of residuals : 5.02104e-12 rel. change during last iteration : -1.80009e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8231e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.96991e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.997468 +/- 4.883e-08 (4.895e-06%) b[8] = 1.43934 +/- 1.76e-08 (1.222e-06%) c[8] = 4.71239 +/- 9.876e-08 (2.096e-06%) d[8] = -1.4339e-06 +/- 3.526e-08 (2.459%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.029 1.000 c[8] 0.051 -0.865 1.000 d[8] -0.119 0.146 -0.082 1.000 ******************************************************************************* Thu Oct 9 11:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 1.9126072607e-10 0.00e+00 3.24e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.7615521961e-12 -9.42e-01 3.24e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.76155e-12 rel. change during last iteration : -9.42198e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.02412e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14532e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.301e-08 (5.301e-06%) bb[8] = 1.43934 +/- 1.779e-08 (1.236e-06%) cc[8] = -3.14159 +/- 1.053e-07 (3.353e-06%) dd[8] = -1.06726e-08 +/- 3.759e-08 (352.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Thu Oct 9 11:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.4335928077e+01 0.00e+00 3.31e+00 -9.974681e-01 1.439336e+00 4.712390e+00 -1.433899e-06 9 9.5315878405e-12 0.00e+00 3.31e+02 -1.261730e+00 1.439336e+00 5.464310e+00 -1.360861e-06 After 9 iterations the fit converged. final sum of squares of residuals : 9.53159e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.88967e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.51295e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -1.26173 +/- 6.6e-08 (5.231e-06%) b[9] = 1.43934 +/- 2.095e-08 (1.455e-06%) c[9] = 5.46431 +/- 1.19e-07 (2.179e-06%) d[9] = -1.36086e-06 +/- 4.904e-08 (3.604%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.074 1.000 c[9] 0.059 -0.886 1.000 d[9] -0.161 0.198 -0.182 1.000 ******************************************************************************* Thu Oct 9 11:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 1.8223442001e-10 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.9193659252e-12 -8.79e-06 3.25e-02 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.91937e-12 rel. change during last iteration : -8.79006e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79437e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80852e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.902e-08 (4.902e-06%) bb[9] = 1.43934 +/- 1.64e-08 (1.139e-06%) cc[9] = -3.14159 +/- 9.724e-08 (3.095e-06%) dd[9] = -1.06726e-08 +/- 3.472e-08 (325.3%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Thu Oct 9 11:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.8428069904e+01 0.00e+00 4.28e+00 -1.261730e+00 1.439336e+00 5.464310e+00 -1.360861e-06 9 2.0327104572e-11 -1.01e-05 4.28e+00 -1.741520e+00 1.439336e+00 5.866207e+00 -1.470545e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.03271e-11 rel. change during last iteration : -1.01171e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.68025e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.22652e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -1.74152 +/- 9.756e-08 (5.602e-06%) b[10] = 1.43934 +/- 2.085e-08 (1.449e-06%) c[10] = 5.86621 +/- 1.217e-07 (2.075e-06%) d[10] = -1.47055e-06 +/- 7.115e-08 (4.838%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.042 1.000 c[10] 0.013 -0.881 1.000 d[10] -0.134 0.163 -0.177 1.000 ******************************************************************************* Thu Oct 9 11:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 3.7950405191e-11 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.8349885918e-12 -1.71e-01 3.25e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.83499e-12 rel. change during last iteration : -1.70959e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.04333e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26189e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.342e-08 (5.342e-06%) bb[10] = 1.43934 +/- 1.781e-08 (1.238e-06%) cc[10] = -3.1416 +/- 1.058e-07 (3.368e-06%) dd[10] = -1.06726e-08 +/- 3.781e-08 (354.2%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Thu Oct 9 11:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.0706703176e+01 0.00e+00 6.24e+00 -1.741520e+00 1.439336e+00 5.866207e+00 -1.470545e-06 9 2.3022893276e-11 -3.52e-03 6.24e-09 -2.115009e+00 1.439336e+00 6.101713e+00 -1.385859e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.30229e-11 rel. change during last iteration : -3.5234e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.04519e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.65443e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -2.11501 +/- 1.052e-07 (4.973e-06%) b[11] = 1.43934 +/- 1.731e-08 (1.203e-06%) c[11] = 6.10171 +/- 1.025e-07 (1.679e-06%) d[11] = -1.38586e-06 +/- 7.533e-08 (5.436%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.015 1.000 c[11] -0.016 -0.874 1.000 d[11] -0.106 0.129 -0.161 1.000 ******************************************************************************* Thu Oct 9 11:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 3.7002624721e-11 0.00e+00 3.26e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 5.1807304984e-12 -1.71e-01 3.26e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.18073e-12 rel. change during last iteration : -1.7107e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86764e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22338e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.037e-08 (5.037e-06%) bb[11] = 1.43934 +/- 1.674e-08 (1.163e-06%) cc[11] = -3.14159 +/- 9.96e-08 (3.17e-06%) dd[11] = -1.06726e-08 +/- 3.562e-08 (333.7%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Thu Oct 9 11:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.6766154301e+00 0.00e+00 7.85e+00 -2.115009e+00 1.439336e+00 6.101713e+00 -1.385859e-06 5 3.3148842911e-11 -6.24e-02 7.85e-05 -2.251603e+00 1.439336e+00 6.283186e+00 -1.385858e-06 After 5 iterations the fit converged. final sum of squares of residuals : 3.31488e-11 rel. change during last iteration : -6.23555e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.25377e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.26172e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -2.2516 +/- 1.275e-07 (5.665e-06%) b[12] = 1.43934 +/- 1.876e-08 (1.303e-06%) c[12] = 6.28319 +/- 1.118e-07 (1.779e-06%) d[12] = -1.38586e-06 +/- 9.007e-08 (6.499%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.004 1.000 c[12] -0.032 -0.868 1.000 d[12] -0.081 0.098 -0.145 1.000 ******************************************************************************* Thu Oct 9 11:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 1.9036107710e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 4 5.6969570226e-12 -1.99e-05 3.27e-02 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.69696e-12 rel. change during last iteration : -1.99291e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.00712e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.04279e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.286e-08 (5.286e-06%) bb[12] = 1.43934 +/- 1.751e-08 (1.217e-06%) cc[12] = -3.14159 +/- 1.044e-07 (3.322e-06%) dd[12] = -1.06726e-08 +/- 3.734e-08 (349.9%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Thu Oct 9 11:45:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 6.2392492540e+00 0.00e+00 8.58e+00 -2.251603e+00 1.439336e+00 6.283186e+00 -1.385858e-06 5 2.6144055634e-11 -4.29e-01 8.58e-05 -2.115008e+00 1.439336e+00 6.464660e+00 -1.385870e-06 After 5 iterations the fit converged. final sum of squares of residuals : 2.61441e-11 rel. change during last iteration : -4.28595e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.44193e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.14985e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -2.11501 +/- 1.143e-07 (5.405e-06%) b[13] = 1.43934 +/- 1.719e-08 (1.194e-06%) c[13] = 6.46466 +/- 1.027e-07 (1.588e-06%) d[13] = -1.38587e-06 +/- 7.978e-08 (5.757%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.020 1.000 c[13] -0.040 -0.862 1.000 d[13] -0.056 0.067 -0.126 1.000 ******************************************************************************* Thu Oct 9 11:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 1.7986552739e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 5.2003047908e-12 -4.04e-05 3.27e-04 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.2003e-12 rel. change during last iteration : -4.04327e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87306e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.25445e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.054e-08 (5.054e-06%) bb[13] = 1.43934 +/- 1.669e-08 (1.16e-06%) cc[13] = -3.14159 +/- 9.961e-08 (3.171e-06%) dd[13] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Thu Oct 9 11:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.2025439016e+01 0.00e+00 8.24e+00 -2.115008e+00 1.439336e+00 6.464660e+00 -1.385870e-06 9 2.3163068606e-11 -4.14e-03 8.24e-09 -1.741519e+00 1.439336e+00 6.700166e+00 -1.454451e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.31631e-11 rel. change during last iteration : -4.13705e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.06356e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.67668e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -1.74152 +/- 1.084e-07 (6.225e-06%) b[14] = 1.43934 +/- 1.918e-08 (1.332e-06%) c[14] = 6.70017 +/- 1.142e-07 (1.704e-06%) d[14] = -1.45445e-06 +/- 7.495e-08 (5.153%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] 0.031 1.000 c[14] -0.038 -0.856 1.000 d[14] -0.022 0.026 -0.099 1.000 ******************************************************************************* Thu Oct 9 11:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 3.7733042656e-11 0.00e+00 3.28e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.8046691470e-12 -1.63e-01 3.28e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.80467e-12 rel. change during last iteration : -1.62868e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03542e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.21376e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.343e-08 (5.343e-06%) bb[14] = 1.43934 +/- 1.759e-08 (1.222e-06%) cc[14] = -3.14159 +/- 1.051e-07 (3.347e-06%) dd[14] = -1.06726e-08 +/- 3.768e-08 (353%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Thu Oct 9 11:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 1.9629255085e+01 0.00e+00 6.92e+00 -1.741519e+00 1.439336e+00 6.700166e+00 -1.454451e-06 9 1.0088730462e-11 -2.37e-03 6.92e-09 -1.261729e+00 1.439336e+00 7.102064e+00 -1.388901e-06 After 9 iterations the fit converged. final sum of squares of residuals : 1.00887e-11 rel. change during last iteration : -2.37087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.00173e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.60139e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -1.26173 +/- 7.14e-08 (5.659e-06%) b[15] = 1.43934 +/- 1.76e-08 (1.223e-06%) c[15] = 7.10206 +/- 1.03e-07 (1.45e-06%) d[15] = -1.3889e-06 +/- 4.95e-08 (3.564%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] 0.029 1.000 c[15] -0.012 -0.853 1.000 d[15] 0.035 -0.042 -0.040 1.000 ******************************************************************************* Thu Oct 9 11:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 3.4821292998e-11 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.2039775772e-12 -1.49e-01 3.29e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.20398e-12 rel. change during last iteration : -1.49158e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.26028e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.063e-08 (5.063e-06%) bb[15] = 1.43934 +/- 1.662e-08 (1.154e-06%) cc[15] = -3.14159 +/- 9.947e-08 (3.166e-06%) dd[15] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Thu Oct 9 11:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.4595953822e+01 0.00e+00 5.08e+00 -1.261729e+00 1.439336e+00 7.102064e+00 -1.388901e-06 9 4.9476265335e-12 -4.21e-04 5.08e-09 -9.974686e-01 1.439336e+00 7.853983e+00 -1.421416e-06 After 9 iterations the fit converged. final sum of squares of residuals : 4.94763e-12 rel. change during last iteration : -4.21034e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80239e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.85338e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.997469 +/- 4.82e-08 (4.832e-06%) b[16] = 1.43934 +/- 1.788e-08 (1.242e-06%) c[16] = 7.85398 +/- 1.012e-07 (1.289e-06%) d[16] = -1.42142e-06 +/- 3.509e-08 (2.468%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.038 1.000 c[16] 0.056 -0.872 1.000 d[16] 0.130 -0.161 0.103 1.000 ******************************************************************************* Thu Oct 9 11:45:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 1.9137284223e-10 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 4 5.8140909976e-12 -5.28e-05 3.29e-04 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.81409e-12 rel. change during last iteration : -5.27909e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03788e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.22872e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.355e-08 (5.355e-06%) bb[16] = 1.43934 +/- 1.752e-08 (1.217e-06%) cc[16] = -3.14159 +/- 1.051e-07 (3.344e-06%) dd[16] = -1.06726e-08 +/- 3.769e-08 (353.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Thu Oct 9 11:46:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.0435576992e+02 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 19 1.1095257447e-11 -1.80e-04 2.23e-09 -1.261730e+00 1.439336e+00 2.322717e+00 -1.414481e-06 After 19 iterations the fit converged. final sum of squares of residuals : 1.10953e-11 rel. change during last iteration : -1.79898e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.19661e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.76115e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -1.26173 +/- 7.119e-08 (5.642e-06%) b[1] = 1.43934 +/- 2.268e-08 (1.575e-06%) c[1] = 2.32272 +/- 1.267e-07 (5.453e-06%) d[1] = -1.41448e-06 +/- 5.293e-08 (3.742%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.069 -0.883 1.000 d[1] 0.163 -0.200 0.176 1.000 ******************************************************************************* Thu Oct 9 11:46:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1479213681e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0805823849e-12 -2.11e-04 3.04e-08 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.08058e-12 rel. change during last iteration : -2.11331e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83979e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.06442e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.953e-08 (4.953e-06%) bb[1] = 1.43934 +/- 1.703e-08 (1.183e-06%) cc[1] = -3.14159 +/- 9.958e-08 (3.17e-06%) dd[1] = -1.06726e-08 +/- 3.535e-08 (331.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Thu Oct 9 11:46:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 1.8631792526e+01 0.00e+00 3.66e+00 -1.261730e+00 1.439336e+00 2.322717e+00 -1.414481e-06 9 2.1332493544e-11 -2.29e-05 3.66e-06 -1.741520e+00 1.439336e+00 2.724614e+00 -1.381601e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.13325e-11 rel. change during last iteration : -2.29278e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.81903e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38611e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -1.74152 +/- 9.95e-08 (5.714e-06%) b[2] = 1.43934 +/- 2.182e-08 (1.516e-06%) c[2] = 2.72461 +/- 1.251e-07 (4.592e-06%) d[2] = -1.3816e-06 +/- 7.305e-08 (5.287%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.056 1.000 c[2] 0.029 -0.881 1.000 d[2] 0.144 -0.176 0.182 1.000 ******************************************************************************* Thu Oct 9 11:46:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 3.8738235503e-11 0.00e+00 3.19e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.5450267676e-12 -2.07e-01 3.19e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.54503e-12 rel. change during last iteration : -2.07164e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96675e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.80163e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.178e-08 (5.178e-06%) bb[2] = 1.43934 +/- 1.774e-08 (1.233e-06%) cc[2] = -3.1416 +/- 1.039e-07 (3.308e-06%) dd[2] = -1.06726e-08 +/- 3.693e-08 (346%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Thu Oct 9 11:46:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.0736782997e+01 0.00e+00 5.27e+00 -1.741520e+00 1.439336e+00 2.724614e+00 -1.381601e-06 9 3.0393444993e-11 -3.31e-07 5.27e+01 -2.115009e+00 1.439336e+00 2.960119e+00 -1.457384e-06 After 9 iterations the fit converged. final sum of squares of residuals : 3.03934e-11 rel. change during last iteration : -3.31139e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.94576e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.82436e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -2.11501 +/- 1.201e-07 (5.68e-06%) b[3] = 1.43934 +/- 2.037e-08 (1.415e-06%) c[3] = 2.96012 +/- 1.186e-07 (4.008e-06%) d[3] = -1.45738e-06 +/- 8.674e-08 (5.952%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.030 1.000 c[3] -0.001 -0.874 1.000 d[3] 0.119 -0.144 0.169 1.000 ******************************************************************************* Thu Oct 9 11:46:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 3.7451619270e-11 0.00e+00 3.20e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 4.9590241140e-12 -2.25e-01 3.20e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.95902e-12 rel. change during last iteration : -2.24888e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80561e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.87147e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.9e-08 (4.9e-06%) bb[3] = 1.43934 +/- 1.673e-08 (1.162e-06%) cc[3] = -3.14159 +/- 9.819e-08 (3.126e-06%) dd[3] = -1.06726e-08 +/- 3.491e-08 (327.1%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Thu Oct 9 11:46:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 5.6060492636e+00 0.00e+00 6.63e+00 -2.115009e+00 1.439336e+00 2.960119e+00 -1.457384e-06 9 3.1073481029e-11 -8.40e-04 6.63e-09 -2.251603e+00 1.439336e+00 3.141593e+00 -1.368605e-06 After 9 iterations the fit converged. final sum of squares of residuals : 3.10735e-11 rel. change during last iteration : -8.40341e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.02303e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.9323e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -2.2516 +/- 1.228e-07 (5.452e-06%) b[4] = 1.43934 +/- 1.855e-08 (1.289e-06%) c[4] = 3.14159 +/- 1.091e-07 (3.471e-06%) d[4] = -1.3686e-06 +/- 8.737e-08 (6.384%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.008 1.000 c[4] -0.021 -0.868 1.000 d[4] 0.096 -0.115 0.155 1.000 ******************************************************************************* Thu Oct 9 11:46:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 1.8358062317e-10 0.00e+00 3.21e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.7366633433e-12 -9.16e-01 3.21e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73666e-12 rel. change during last iteration : -9.16036e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01758e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10581e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.274e-08 (5.274e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.055e-07 (3.358e-06%) dd[4] = -1.06726e-08 +/- 3.754e-08 (351.7%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Thu Oct 9 11:46:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 6.2017554658e+00 0.00e+00 7.24e+00 -2.251603e+00 1.439336e+00 3.141593e+00 -1.368605e-06 5 2.4594983565e-11 -9.43e-01 7.24e-05 -2.115008e+00 1.439336e+00 3.323067e+00 -1.368625e-06 After 5 iterations the fit converged. final sum of squares of residuals : 2.4595e-11 rel. change during last iteration : -9.43133e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.24817e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.90397e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -2.11501 +/- 1.103e-07 (5.217e-06%) b[5] = 1.43934 +/- 1.694e-08 (1.177e-06%) c[5] = 3.32307 +/- 1.001e-07 (3.012e-06%) d[5] = -1.36863e-06 +/- 7.749e-08 (5.662%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] 0.010 1.000 c[5] -0.034 -0.862 1.000 d[5] 0.070 -0.084 0.137 1.000 ******************************************************************************* Thu Oct 9 11:46:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 1.8511539088e-10 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.8942154726e-12 0.00e+00 3.22e+02 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.89422e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78722e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.7686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.875e-08 (4.875e-06%) bb[5] = 1.43934 +/- 1.653e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.736e-08 (3.099e-06%) dd[5] = -1.06726e-08 +/- 3.467e-08 (324.8%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Thu Oct 9 11:46:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.2133046241e+01 0.00e+00 6.96e+00 -2.115008e+00 1.439336e+00 3.323067e+00 -1.368625e-06 9 1.9021873489e-11 -7.98e-04 6.96e-09 -1.741519e+00 1.439336e+00 3.558573e+00 -1.412157e-06 After 9 iterations the fit converged. final sum of squares of residuals : 1.90219e-11 rel. change during last iteration : -7.97534e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.49486e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.01934e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -1.74152 +/- 9.799e-08 (5.627e-06%) b[6] = 1.43934 +/- 1.752e-08 (1.217e-06%) c[6] = 3.55857 +/- 1.035e-07 (2.908e-06%) d[6] = -1.41216e-06 +/- 6.797e-08 (4.813%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.025 1.000 c[6] -0.038 -0.855 1.000 d[6] 0.037 -0.044 0.112 1.000 ******************************************************************************* Thu Oct 9 11:46:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 3.7728907498e-11 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.6471858074e-12 -1.73e-01 3.22e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.64719e-12 rel. change during last iteration : -1.72968e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99396e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.96379e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.241e-08 (5.241e-06%) bb[6] = 1.43934 +/- 1.771e-08 (1.23e-06%) cc[6] = -3.14159 +/- 1.045e-07 (3.326e-06%) dd[6] = -1.06726e-08 +/- 3.723e-08 (348.8%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Thu Oct 9 11:46:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 1.9903601954e+01 0.00e+00 5.85e+00 -1.741519e+00 1.439336e+00 3.558573e+00 -1.412157e-06 6 9.5915737287e-12 -9.98e-01 5.85e-06 -1.261728e+00 1.439336e+00 3.960470e+00 -1.411989e-06 After 6 iterations the fit converged. final sum of squares of residuals : 9.59157e-12 rel. change during last iteration : -9.97831e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.90189e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.52247e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -1.26173 +/- 6.978e-08 (5.531e-06%) b[7] = 1.43934 +/- 1.703e-08 (1.183e-06%) c[7] = 3.96047 +/- 9.914e-08 (2.503e-06%) d[7] = -1.41199e-06 +/- 4.823e-08 (3.416%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.030 1.000 c[7] -0.018 -0.849 1.000 d[7] -0.020 0.025 0.058 1.000 ******************************************************************************* Thu Oct 9 11:46:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 3.5390677633e-11 0.00e+00 3.23e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.0487608087e-12 -1.56e-01 3.23e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.04876e-12 rel. change during last iteration : -1.55757e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83088e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01391e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.959e-08 (4.959e-06%) bb[7] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[7] = -3.14159 +/- 9.869e-08 (3.142e-06%) dd[7] = -1.06726e-08 +/- 3.519e-08 (329.7%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Thu Oct 9 11:46:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 2.4955371324e+01 0.00e+00 4.29e+00 -1.261728e+00 1.439336e+00 3.960470e+00 -1.411989e-06 9 5.0210436815e-12 -1.80e-04 4.29e-09 -9.974681e-01 1.439336e+00 4.712390e+00 -1.433899e-06 After 9 iterations the fit converged. final sum of squares of residuals : 5.02104e-12 rel. change during last iteration : -1.80009e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8231e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.96991e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.997468 +/- 4.883e-08 (4.895e-06%) b[8] = 1.43934 +/- 1.76e-08 (1.222e-06%) c[8] = 4.71239 +/- 9.876e-08 (2.096e-06%) d[8] = -1.4339e-06 +/- 3.526e-08 (2.459%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.029 1.000 c[8] 0.051 -0.865 1.000 d[8] -0.119 0.146 -0.082 1.000 ******************************************************************************* Thu Oct 9 11:46:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 1.9126072607e-10 0.00e+00 3.24e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.7615521961e-12 -9.42e-01 3.24e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.76155e-12 rel. change during last iteration : -9.42198e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.02412e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14532e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.301e-08 (5.301e-06%) bb[8] = 1.43934 +/- 1.779e-08 (1.236e-06%) cc[8] = -3.14159 +/- 1.053e-07 (3.353e-06%) dd[8] = -1.06726e-08 +/- 3.759e-08 (352.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Thu Oct 9 11:46:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.4335928077e+01 0.00e+00 3.31e+00 -9.974681e-01 1.439336e+00 4.712390e+00 -1.433899e-06 9 9.5315878405e-12 0.00e+00 3.31e+02 -1.261730e+00 1.439336e+00 5.464310e+00 -1.360861e-06 After 9 iterations the fit converged. final sum of squares of residuals : 9.53159e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.88967e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.51295e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -1.26173 +/- 6.6e-08 (5.231e-06%) b[9] = 1.43934 +/- 2.095e-08 (1.455e-06%) c[9] = 5.46431 +/- 1.19e-07 (2.179e-06%) d[9] = -1.36086e-06 +/- 4.904e-08 (3.604%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.074 1.000 c[9] 0.059 -0.886 1.000 d[9] -0.161 0.198 -0.182 1.000 ******************************************************************************* Thu Oct 9 11:46:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 1.8223442001e-10 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.9193659252e-12 -8.79e-06 3.25e-02 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.91937e-12 rel. change during last iteration : -8.79006e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79437e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80852e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.902e-08 (4.902e-06%) bb[9] = 1.43934 +/- 1.64e-08 (1.139e-06%) cc[9] = -3.14159 +/- 9.724e-08 (3.095e-06%) dd[9] = -1.06726e-08 +/- 3.472e-08 (325.3%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Thu Oct 9 11:46:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.8428069904e+01 0.00e+00 4.28e+00 -1.261730e+00 1.439336e+00 5.464310e+00 -1.360861e-06 9 2.0327104572e-11 -1.01e-05 4.28e+00 -1.741520e+00 1.439336e+00 5.866207e+00 -1.470545e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.03271e-11 rel. change during last iteration : -1.01171e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.68025e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.22652e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -1.74152 +/- 9.756e-08 (5.602e-06%) b[10] = 1.43934 +/- 2.085e-08 (1.449e-06%) c[10] = 5.86621 +/- 1.217e-07 (2.075e-06%) d[10] = -1.47055e-06 +/- 7.115e-08 (4.838%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.042 1.000 c[10] 0.013 -0.881 1.000 d[10] -0.134 0.163 -0.177 1.000 ******************************************************************************* Thu Oct 9 11:46:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 3.7950405191e-11 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.8349885918e-12 -1.71e-01 3.25e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.83499e-12 rel. change during last iteration : -1.70959e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.04333e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26189e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.342e-08 (5.342e-06%) bb[10] = 1.43934 +/- 1.781e-08 (1.238e-06%) cc[10] = -3.1416 +/- 1.058e-07 (3.368e-06%) dd[10] = -1.06726e-08 +/- 3.781e-08 (354.2%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Thu Oct 9 11:46:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.0706703176e+01 0.00e+00 6.24e+00 -1.741520e+00 1.439336e+00 5.866207e+00 -1.470545e-06 9 2.3022893276e-11 -3.52e-03 6.24e-09 -2.115009e+00 1.439336e+00 6.101713e+00 -1.385859e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.30229e-11 rel. change during last iteration : -3.5234e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.04519e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.65443e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -2.11501 +/- 1.052e-07 (4.973e-06%) b[11] = 1.43934 +/- 1.731e-08 (1.203e-06%) c[11] = 6.10171 +/- 1.025e-07 (1.679e-06%) d[11] = -1.38586e-06 +/- 7.533e-08 (5.436%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.015 1.000 c[11] -0.016 -0.874 1.000 d[11] -0.106 0.129 -0.161 1.000 ******************************************************************************* Thu Oct 9 11:46:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 3.7002624721e-11 0.00e+00 3.26e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 5.1807304984e-12 -1.71e-01 3.26e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.18073e-12 rel. change during last iteration : -1.7107e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86764e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22338e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.037e-08 (5.037e-06%) bb[11] = 1.43934 +/- 1.674e-08 (1.163e-06%) cc[11] = -3.14159 +/- 9.96e-08 (3.17e-06%) dd[11] = -1.06726e-08 +/- 3.562e-08 (333.7%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Thu Oct 9 11:46:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.6766154301e+00 0.00e+00 7.85e+00 -2.115009e+00 1.439336e+00 6.101713e+00 -1.385859e-06 5 3.3148842911e-11 -6.24e-02 7.85e-05 -2.251603e+00 1.439336e+00 6.283186e+00 -1.385858e-06 After 5 iterations the fit converged. final sum of squares of residuals : 3.31488e-11 rel. change during last iteration : -6.23555e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.25377e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.26172e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -2.2516 +/- 1.275e-07 (5.665e-06%) b[12] = 1.43934 +/- 1.876e-08 (1.303e-06%) c[12] = 6.28319 +/- 1.118e-07 (1.779e-06%) d[12] = -1.38586e-06 +/- 9.007e-08 (6.499%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.004 1.000 c[12] -0.032 -0.868 1.000 d[12] -0.081 0.098 -0.145 1.000 ******************************************************************************* Thu Oct 9 11:46:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 1.9036107710e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 4 5.6969570226e-12 -1.99e-05 3.27e-02 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.69696e-12 rel. change during last iteration : -1.99291e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.00712e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.04279e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.286e-08 (5.286e-06%) bb[12] = 1.43934 +/- 1.751e-08 (1.217e-06%) cc[12] = -3.14159 +/- 1.044e-07 (3.322e-06%) dd[12] = -1.06726e-08 +/- 3.734e-08 (349.9%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Thu Oct 9 11:46:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 6.2392492540e+00 0.00e+00 8.58e+00 -2.251603e+00 1.439336e+00 6.283186e+00 -1.385858e-06 5 2.6144055634e-11 -4.29e-01 8.58e-05 -2.115008e+00 1.439336e+00 6.464660e+00 -1.385870e-06 After 5 iterations the fit converged. final sum of squares of residuals : 2.61441e-11 rel. change during last iteration : -4.28595e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.44193e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.14985e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -2.11501 +/- 1.143e-07 (5.405e-06%) b[13] = 1.43934 +/- 1.719e-08 (1.194e-06%) c[13] = 6.46466 +/- 1.027e-07 (1.588e-06%) d[13] = -1.38587e-06 +/- 7.978e-08 (5.757%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.020 1.000 c[13] -0.040 -0.862 1.000 d[13] -0.056 0.067 -0.126 1.000 ******************************************************************************* Thu Oct 9 11:46:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 1.7986552739e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 5.2003047908e-12 -4.04e-05 3.27e-04 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.2003e-12 rel. change during last iteration : -4.04327e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87306e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.25445e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.054e-08 (5.054e-06%) bb[13] = 1.43934 +/- 1.669e-08 (1.16e-06%) cc[13] = -3.14159 +/- 9.961e-08 (3.171e-06%) dd[13] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Thu Oct 9 11:46:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.2025439016e+01 0.00e+00 8.24e+00 -2.115008e+00 1.439336e+00 6.464660e+00 -1.385870e-06 9 2.3163068606e-11 -4.14e-03 8.24e-09 -1.741519e+00 1.439336e+00 6.700166e+00 -1.454451e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.31631e-11 rel. change during last iteration : -4.13705e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.06356e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.67668e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -1.74152 +/- 1.084e-07 (6.225e-06%) b[14] = 1.43934 +/- 1.918e-08 (1.332e-06%) c[14] = 6.70017 +/- 1.142e-07 (1.704e-06%) d[14] = -1.45445e-06 +/- 7.495e-08 (5.153%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] 0.031 1.000 c[14] -0.038 -0.856 1.000 d[14] -0.022 0.026 -0.099 1.000 ******************************************************************************* Thu Oct 9 11:46:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 3.7733042656e-11 0.00e+00 3.28e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.8046691470e-12 -1.63e-01 3.28e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.80467e-12 rel. change during last iteration : -1.62868e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03542e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.21376e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.343e-08 (5.343e-06%) bb[14] = 1.43934 +/- 1.759e-08 (1.222e-06%) cc[14] = -3.14159 +/- 1.051e-07 (3.347e-06%) dd[14] = -1.06726e-08 +/- 3.768e-08 (353%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Thu Oct 9 11:46:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 1.9629255085e+01 0.00e+00 6.92e+00 -1.741519e+00 1.439336e+00 6.700166e+00 -1.454451e-06 9 1.0088730462e-11 -2.37e-03 6.92e-09 -1.261729e+00 1.439336e+00 7.102064e+00 -1.388901e-06 After 9 iterations the fit converged. final sum of squares of residuals : 1.00887e-11 rel. change during last iteration : -2.37087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.00173e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.60139e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -1.26173 +/- 7.14e-08 (5.659e-06%) b[15] = 1.43934 +/- 1.76e-08 (1.223e-06%) c[15] = 7.10206 +/- 1.03e-07 (1.45e-06%) d[15] = -1.3889e-06 +/- 4.95e-08 (3.564%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] 0.029 1.000 c[15] -0.012 -0.853 1.000 d[15] 0.035 -0.042 -0.040 1.000 ******************************************************************************* Thu Oct 9 11:46:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 3.4821292998e-11 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.2039775772e-12 -1.49e-01 3.29e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.20398e-12 rel. change during last iteration : -1.49158e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.26028e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.063e-08 (5.063e-06%) bb[15] = 1.43934 +/- 1.662e-08 (1.154e-06%) cc[15] = -3.14159 +/- 9.947e-08 (3.166e-06%) dd[15] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Thu Oct 9 11:46:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.4595953822e+01 0.00e+00 5.08e+00 -1.261729e+00 1.439336e+00 7.102064e+00 -1.388901e-06 9 4.9476265335e-12 -4.21e-04 5.08e-09 -9.974686e-01 1.439336e+00 7.853983e+00 -1.421416e-06 After 9 iterations the fit converged. final sum of squares of residuals : 4.94763e-12 rel. change during last iteration : -4.21034e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80239e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.85338e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.997469 +/- 4.82e-08 (4.832e-06%) b[16] = 1.43934 +/- 1.788e-08 (1.242e-06%) c[16] = 7.85398 +/- 1.012e-07 (1.289e-06%) d[16] = -1.42142e-06 +/- 3.509e-08 (2.468%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.038 1.000 c[16] 0.056 -0.872 1.000 d[16] 0.130 -0.161 0.103 1.000 ******************************************************************************* Thu Oct 9 11:46:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 1.9137284223e-10 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 4 5.8140909976e-12 -5.28e-05 3.29e-04 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.81409e-12 rel. change during last iteration : -5.27909e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03788e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.22872e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.355e-08 (5.355e-06%) bb[16] = 1.43934 +/- 1.752e-08 (1.217e-06%) cc[16] = -3.14159 +/- 1.051e-07 (3.344e-06%) dd[16] = -1.06726e-08 +/- 3.769e-08 (353.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Thu Oct 9 11:52:49 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.0435576992e+02 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 5 5.5222586758e+01 0.00e+00 2.23e+00 -1.689012e-02 1.765287e+00 -2.704659e-01 1.321850e-01 The fit was stopped by the user after 5 iterations. final sum of squares of residuals : 55.2226 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.936242 variance of residuals (reduced chisquare) = WSSR/ndf : 0.876549 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.0168901 +/- 0.1605 (950.3%) b[1] = 1.76529 +/- 3.461 (196.1%) c[1] = -0.270466 +/- 20.07 (7420%) d[1] = 0.132185 +/- 0.1161 (87.84%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.017 1.000 c[1] -0.011 -0.875 1.000 d[1] 0.051 0.145 -0.165 1.000 ******************************************************************************* Thu Oct 9 11:53:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1479213681e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0805823849e-12 -2.11e-04 3.04e-08 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.08058e-12 rel. change during last iteration : -2.11331e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83979e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.06442e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.953e-08 (4.953e-06%) bb[1] = 1.43934 +/- 1.703e-08 (1.183e-06%) cc[1] = -3.14159 +/- 9.958e-08 (3.17e-06%) dd[1] = -1.06726e-08 +/- 3.535e-08 (331.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Thu Oct 9 11:53:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 1.0419794328e+02 0.00e+00 8.98e-02 -1.689012e-02 1.765287e+00 -2.704659e-01 1.321850e-01 30 9.9888437337e+01 -9.47e-01 8.98e+00 -2.007520e-01 -6.087441e-01 3.192456e+00 1.508399e-01 After 30 iterations the fit converged. final sum of squares of residuals : 99.8884 rel. change during last iteration : -9.46636e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.25918 variance of residuals (reduced chisquare) = WSSR/ndf : 1.58553 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.200752 +/- 0.277 (138%) b[2] = -0.608744 +/- 0.9232 (151.6%) c[2] = 3.19246 +/- 4.972 (155.8%) d[2] = 0.15084 +/- 0.3492 (231.5%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.602 1.000 c[2] 0.590 -0.977 1.000 d[2] -0.557 0.898 -0.877 1.000 ******************************************************************************* Thu Oct 9 11:53:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 3.8738235503e-11 0.00e+00 3.19e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.5450267676e-12 -2.07e-01 3.19e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.54503e-12 rel. change during last iteration : -2.07164e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96675e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.80163e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.178e-08 (5.178e-06%) bb[2] = 1.43934 +/- 1.774e-08 (1.233e-06%) cc[2] = -3.1416 +/- 1.039e-07 (3.308e-06%) dd[2] = -1.06726e-08 +/- 3.693e-08 (346%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Thu Oct 9 11:53:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.4571308797e+02 0.00e+00 3.61e-01 -2.007520e-01 -6.087441e-01 3.192456e+00 1.508399e-01 10 3.0393445459e-11 -5.45e-04 3.61e-11 -2.115009e+00 1.439336e+00 -9.606251e+00 -1.457417e-06 After 10 iterations the fit converged. final sum of squares of residuals : 3.03934e-11 rel. change during last iteration : -5.45177e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.94576e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.82436e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -2.11501 +/- 1.201e-07 (5.681e-06%) b[3] = 1.43934 +/- 2.037e-08 (1.415e-06%) c[3] = -9.60625 +/- 1.186e-07 (1.235e-06%) d[3] = -1.45742e-06 +/- 8.674e-08 (5.952%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.041 1.000 c[3] 0.012 -0.874 1.000 d[3] 0.121 -0.144 0.169 1.000 ******************************************************************************* Thu Oct 9 11:53:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 3.7451619270e-11 0.00e+00 3.20e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 4.9590241140e-12 -2.25e-01 3.20e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.95902e-12 rel. change during last iteration : -2.24888e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80561e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.87147e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.9e-08 (4.9e-06%) bb[3] = 1.43934 +/- 1.673e-08 (1.162e-06%) cc[3] = -3.14159 +/- 9.819e-08 (3.126e-06%) dd[3] = -1.06726e-08 +/- 3.491e-08 (327.1%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Thu Oct 9 11:53:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 5.6060492636e+00 0.00e+00 9.48e+00 -2.115009e+00 1.439336e+00 -9.606251e+00 -1.457417e-06 9 3.1073481028e-11 -1.19e-02 9.48e-09 -2.251603e+00 1.439336e+00 -9.424778e+00 -1.368605e-06 After 9 iterations the fit converged. final sum of squares of residuals : 3.10735e-11 rel. change during last iteration : -1.18975e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.02303e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.9323e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -2.2516 +/- 1.227e-07 (5.451e-06%) b[4] = 1.43934 +/- 1.855e-08 (1.289e-06%) c[4] = -9.42478 +/- 1.091e-07 (1.157e-06%) d[4] = -1.3686e-06 +/- 8.737e-08 (6.384%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.019 1.000 c[4] -0.009 -0.868 1.000 d[4] 0.098 -0.115 0.155 1.000 ******************************************************************************* Thu Oct 9 11:53:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 1.8358062317e-10 0.00e+00 3.21e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.7366633433e-12 -9.16e-01 3.21e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73666e-12 rel. change during last iteration : -9.16036e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01758e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10581e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.274e-08 (5.274e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.055e-07 (3.358e-06%) dd[4] = -1.06726e-08 +/- 3.754e-08 (351.7%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Thu Oct 9 11:53:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 6.2017554658e+00 0.00e+00 1.01e+01 -2.251603e+00 1.439336e+00 -9.424778e+00 -1.368605e-06 5 2.4595098014e-11 -5.41e-01 1.01e-04 -2.115008e+00 1.439336e+00 -9.243304e+00 -1.368615e-06 After 5 iterations the fit converged. final sum of squares of residuals : 2.45951e-11 rel. change during last iteration : -5.41209e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.24819e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.90398e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -2.11501 +/- 1.103e-07 (5.215e-06%) b[5] = 1.43934 +/- 1.694e-08 (1.177e-06%) c[5] = -9.2433 +/- 1.001e-07 (1.083e-06%) d[5] = -1.36862e-06 +/- 7.749e-08 (5.662%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.001 1.000 c[5] -0.022 -0.862 1.000 d[5] 0.072 -0.084 0.137 1.000 ******************************************************************************* Thu Oct 9 11:53:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 1.8511539088e-10 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.8942154726e-12 0.00e+00 3.22e+02 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.89422e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78722e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.7686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.875e-08 (4.875e-06%) bb[5] = 1.43934 +/- 1.653e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.736e-08 (3.099e-06%) dd[5] = -1.06726e-08 +/- 3.467e-08 (324.8%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Thu Oct 9 11:53:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.2133046241e+01 0.00e+00 9.56e+00 -2.115008e+00 1.439336e+00 -9.243304e+00 -1.368615e-06 9 1.9021873488e-11 -6.42e-03 9.56e-09 -1.741519e+00 1.439336e+00 -9.007798e+00 -1.412157e-06 After 9 iterations the fit converged. final sum of squares of residuals : 1.90219e-11 rel. change during last iteration : -6.42495e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.49486e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.01934e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -1.74152 +/- 9.796e-08 (5.625e-06%) b[6] = 1.43934 +/- 1.752e-08 (1.217e-06%) c[6] = -9.0078 +/- 1.035e-07 (1.149e-06%) d[6] = -1.41216e-06 +/- 6.797e-08 (4.813%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.015 1.000 c[6] -0.026 -0.855 1.000 d[6] 0.038 -0.044 0.112 1.000 ******************************************************************************* Thu Oct 9 11:53:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 3.7728907498e-11 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.6471858074e-12 -1.73e-01 3.22e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.64719e-12 rel. change during last iteration : -1.72968e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99396e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.96379e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.241e-08 (5.241e-06%) bb[6] = 1.43934 +/- 1.771e-08 (1.23e-06%) cc[6] = -3.14159 +/- 1.045e-07 (3.326e-06%) dd[6] = -1.06726e-08 +/- 3.723e-08 (348.8%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Thu Oct 9 11:53:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 1.9903601954e+01 0.00e+00 7.85e+00 -1.741519e+00 1.439336e+00 -9.007798e+00 -1.412157e-06 6 9.5916155090e-12 -5.68e-01 7.85e-06 -1.261728e+00 1.439336e+00 -8.605900e+00 -1.412062e-06 After 6 iterations the fit converged. final sum of squares of residuals : 9.59162e-12 rel. change during last iteration : -5.68179e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.9019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.52248e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -1.26173 +/- 6.977e-08 (5.53e-06%) b[7] = 1.43934 +/- 1.703e-08 (1.183e-06%) c[7] = -8.6059 +/- 9.914e-08 (1.152e-06%) d[7] = -1.41206e-06 +/- 4.823e-08 (3.416%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.020 1.000 c[7] -0.007 -0.849 1.000 d[7] -0.019 0.025 0.058 1.000 ******************************************************************************* Thu Oct 9 11:53:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 3.5390677633e-11 0.00e+00 3.23e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.0487608087e-12 -1.56e-01 3.23e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.04876e-12 rel. change during last iteration : -1.55757e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83088e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01391e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.959e-08 (4.959e-06%) bb[7] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[7] = -3.14159 +/- 9.869e-08 (3.142e-06%) dd[7] = -1.06726e-08 +/- 3.519e-08 (329.7%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Thu Oct 9 11:53:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 2.4955371324e+01 0.00e+00 5.55e+00 -1.261728e+00 1.439336e+00 -8.605900e+00 -1.412062e-06 9 5.0210436722e-12 -1.23e-04 5.55e-07 -9.974681e-01 1.439336e+00 -7.853980e+00 -1.433897e-06 After 9 iterations the fit converged. final sum of squares of residuals : 5.02104e-12 rel. change during last iteration : -1.23086e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8231e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.96991e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.997468 +/- 4.886e-08 (4.899e-06%) b[8] = 1.43934 +/- 1.76e-08 (1.222e-06%) c[8] = -7.85398 +/- 9.876e-08 (1.257e-06%) d[8] = -1.4339e-06 +/- 3.526e-08 (2.459%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.040 1.000 c[8] 0.064 -0.865 1.000 d[8] -0.120 0.146 -0.082 1.000 ******************************************************************************* Thu Oct 9 11:53:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 1.9126072607e-10 0.00e+00 3.24e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.7615521961e-12 -9.42e-01 3.24e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.76155e-12 rel. change during last iteration : -9.42198e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.02412e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14532e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.301e-08 (5.301e-06%) bb[8] = 1.43934 +/- 1.779e-08 (1.236e-06%) cc[8] = -3.14159 +/- 1.053e-07 (3.353e-06%) dd[8] = -1.06726e-08 +/- 3.759e-08 (352.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Thu Oct 9 11:53:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.4335928077e+01 0.00e+00 3.97e+00 -9.974681e-01 1.439336e+00 -7.853980e+00 -1.433897e-06 9 9.5315878224e-12 0.00e+00 3.97e+02 -1.261730e+00 1.439336e+00 -7.102060e+00 -1.360866e-06 After 9 iterations the fit converged. final sum of squares of residuals : 9.53159e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.88967e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.51295e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -1.26173 +/- 6.607e-08 (5.236e-06%) b[9] = 1.43934 +/- 2.095e-08 (1.455e-06%) c[9] = -7.10206 +/- 1.19e-07 (1.676e-06%) d[9] = -1.36087e-06 +/- 4.904e-08 (3.604%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.087 1.000 c[9] 0.073 -0.886 1.000 d[9] -0.163 0.198 -0.182 1.000 ******************************************************************************* Thu Oct 9 11:53:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 1.8223442001e-10 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.9193659252e-12 -8.79e-06 3.25e-02 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.91937e-12 rel. change during last iteration : -8.79006e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79437e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80852e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.902e-08 (4.902e-06%) bb[9] = 1.43934 +/- 1.64e-08 (1.139e-06%) cc[9] = -3.14159 +/- 9.724e-08 (3.095e-06%) dd[9] = -1.06726e-08 +/- 3.472e-08 (325.3%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Thu Oct 9 11:53:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.8428069903e+01 0.00e+00 4.71e+00 -1.261730e+00 1.439336e+00 -7.102060e+00 -1.360866e-06 9 2.0327104618e-11 -3.81e-04 4.71e-09 -1.741520e+00 1.439336e+00 -6.700164e+00 -1.470571e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.03271e-11 rel. change during last iteration : -3.81183e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.68025e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.22652e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -1.74152 +/- 9.759e-08 (5.604e-06%) b[10] = 1.43934 +/- 2.085e-08 (1.449e-06%) c[10] = -6.70016 +/- 1.217e-07 (1.817e-06%) d[10] = -1.47057e-06 +/- 7.115e-08 (4.838%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.054 1.000 c[10] 0.027 -0.881 1.000 d[10] -0.136 0.163 -0.177 1.000 ******************************************************************************* Thu Oct 9 11:53:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 3.7950405191e-11 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.8349885918e-12 -1.71e-01 3.25e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.83499e-12 rel. change during last iteration : -1.70959e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.04333e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26189e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.342e-08 (5.342e-06%) bb[10] = 1.43934 +/- 1.781e-08 (1.238e-06%) cc[10] = -3.1416 +/- 1.058e-07 (3.368e-06%) dd[10] = -1.06726e-08 +/- 3.781e-08 (354.2%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Thu Oct 9 11:53:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.0706703176e+01 0.00e+00 6.54e+00 -1.741520e+00 1.439336e+00 -6.700164e+00 -1.470571e-06 9 2.3022893283e-11 -4.72e-03 6.54e-09 -2.115009e+00 1.439336e+00 -6.464658e+00 -1.385859e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.30229e-11 rel. change during last iteration : -4.72233e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.04519e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.65443e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -2.11501 +/- 1.052e-07 (4.972e-06%) b[11] = 1.43934 +/- 1.731e-08 (1.203e-06%) c[11] = -6.46466 +/- 1.025e-07 (1.585e-06%) d[11] = -1.38586e-06 +/- 7.533e-08 (5.436%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.026 1.000 c[11] -0.003 -0.874 1.000 d[11] -0.108 0.129 -0.161 1.000 ******************************************************************************* Thu Oct 9 11:53:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 3.7002624721e-11 0.00e+00 3.26e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 5.1807304984e-12 -1.71e-01 3.26e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.18073e-12 rel. change during last iteration : -1.7107e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86764e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22338e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.037e-08 (5.037e-06%) bb[11] = 1.43934 +/- 1.674e-08 (1.163e-06%) cc[11] = -3.14159 +/- 9.96e-08 (3.17e-06%) dd[11] = -1.06726e-08 +/- 3.562e-08 (333.7%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Thu Oct 9 11:53:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.6766154301e+00 0.00e+00 8.01e+00 -2.115009e+00 1.439336e+00 -6.464658e+00 -1.385859e-06 5 3.3148842947e-11 -8.17e-01 8.01e-05 -2.251603e+00 1.439336e+00 -6.283184e+00 -1.385858e-06 After 5 iterations the fit converged. final sum of squares of residuals : 3.31488e-11 rel. change during last iteration : -8.16704e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.25377e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.26172e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -2.2516 +/- 1.275e-07 (5.663e-06%) b[12] = 1.43934 +/- 1.876e-08 (1.303e-06%) c[12] = -6.28318 +/- 1.118e-07 (1.779e-06%) d[12] = -1.38586e-06 +/- 9.007e-08 (6.499%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.006 1.000 c[12] -0.019 -0.868 1.000 d[12] -0.083 0.098 -0.145 1.000 ******************************************************************************* Thu Oct 9 11:53:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 1.9036107710e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 4 5.6969570226e-12 -1.99e-05 3.27e-02 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.69696e-12 rel. change during last iteration : -1.99291e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.00712e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.04279e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.286e-08 (5.286e-06%) bb[12] = 1.43934 +/- 1.751e-08 (1.217e-06%) cc[12] = -3.14159 +/- 1.044e-07 (3.322e-06%) dd[12] = -1.06726e-08 +/- 3.734e-08 (349.9%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Thu Oct 9 11:53:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 6.2392492540e+00 0.00e+00 8.58e+00 -2.251603e+00 1.439336e+00 -6.283184e+00 -1.385858e-06 5 2.6144055192e-11 -4.44e-01 8.58e-05 -2.115008e+00 1.439336e+00 -6.101710e+00 -1.385870e-06 After 5 iterations the fit converged. final sum of squares of residuals : 2.61441e-11 rel. change during last iteration : -4.44047e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.44193e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.14985e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -2.11501 +/- 1.143e-07 (5.403e-06%) b[13] = 1.43934 +/- 1.719e-08 (1.194e-06%) c[13] = -6.10171 +/- 1.027e-07 (1.683e-06%) d[13] = -1.38587e-06 +/- 7.978e-08 (5.757%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.010 1.000 c[13] -0.028 -0.862 1.000 d[13] -0.057 0.067 -0.126 1.000 ******************************************************************************* Thu Oct 9 11:53:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 1.7986552739e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 5.2003047908e-12 -4.04e-05 3.27e-04 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.2003e-12 rel. change during last iteration : -4.04327e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87306e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.25445e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.054e-08 (5.054e-06%) bb[13] = 1.43934 +/- 1.669e-08 (1.16e-06%) cc[13] = -3.14159 +/- 9.961e-08 (3.171e-06%) dd[13] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Thu Oct 9 11:53:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.2025439015e+01 0.00e+00 8.07e+00 -2.115008e+00 1.439336e+00 -6.101710e+00 -1.385870e-06 9 2.3163068603e-11 -3.59e-03 8.07e-09 -1.741519e+00 1.439336e+00 -5.866204e+00 -1.454451e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.31631e-11 rel. change during last iteration : -3.58797e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.06356e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.67668e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -1.74152 +/- 1.084e-07 (6.223e-06%) b[14] = 1.43934 +/- 1.918e-08 (1.332e-06%) c[14] = -5.8662 +/- 1.142e-07 (1.947e-06%) d[14] = -1.45445e-06 +/- 7.495e-08 (5.153%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] 0.022 1.000 c[14] -0.027 -0.856 1.000 d[14] -0.023 0.026 -0.099 1.000 ******************************************************************************* Thu Oct 9 11:53:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 3.7733042656e-11 0.00e+00 3.28e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.8046691470e-12 -1.63e-01 3.28e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.80467e-12 rel. change during last iteration : -1.62868e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03542e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.21376e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.343e-08 (5.343e-06%) bb[14] = 1.43934 +/- 1.759e-08 (1.222e-06%) cc[14] = -3.14159 +/- 1.051e-07 (3.347e-06%) dd[14] = -1.06726e-08 +/- 3.768e-08 (353%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Thu Oct 9 11:53:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 1.9629255085e+01 0.00e+00 6.61e+00 -1.741519e+00 1.439336e+00 -5.866204e+00 -1.454451e-06 9 1.0088730463e-11 -1.60e-03 6.61e-09 -1.261729e+00 1.439336e+00 -5.464307e+00 -1.388901e-06 After 9 iterations the fit converged. final sum of squares of residuals : 1.00887e-11 rel. change during last iteration : -1.60341e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.00173e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.60139e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -1.26173 +/- 7.14e-08 (5.659e-06%) b[15] = 1.43934 +/- 1.76e-08 (1.223e-06%) c[15] = -5.46431 +/- 1.03e-07 (1.885e-06%) d[15] = -1.3889e-06 +/- 4.95e-08 (3.564%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] 0.019 1.000 c[15] -0.000 -0.853 1.000 d[15] 0.034 -0.042 -0.040 1.000 ******************************************************************************* Thu Oct 9 11:53:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 3.4821292998e-11 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.2039775772e-12 -1.49e-01 3.29e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.20398e-12 rel. change during last iteration : -1.49158e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.26028e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.063e-08 (5.063e-06%) bb[15] = 1.43934 +/- 1.662e-08 (1.154e-06%) cc[15] = -3.14159 +/- 9.947e-08 (3.166e-06%) dd[15] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Thu Oct 9 11:53:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.4595953822e+01 0.00e+00 4.63e+00 -1.261729e+00 1.439336e+00 -5.464307e+00 -1.388901e-06 9 4.9476265398e-12 -2.18e-04 4.63e-09 -9.974686e-01 1.439336e+00 -4.712388e+00 -1.421416e-06 After 9 iterations the fit converged. final sum of squares of residuals : 4.94763e-12 rel. change during last iteration : -2.18026e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80239e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.85338e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.997469 +/- 4.824e-08 (4.836e-06%) b[16] = 1.43934 +/- 1.788e-08 (1.242e-06%) c[16] = -4.71239 +/- 1.012e-07 (2.148e-06%) d[16] = -1.42142e-06 +/- 3.509e-08 (2.468%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.049 1.000 c[16] 0.069 -0.872 1.000 d[16] 0.132 -0.161 0.103 1.000 ******************************************************************************* Thu Oct 9 11:53:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 1.9137284223e-10 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 4 5.8140909976e-12 -5.28e-05 3.29e-04 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.81409e-12 rel. change during last iteration : -5.27909e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03788e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.22872e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.355e-08 (5.355e-06%) bb[16] = 1.43934 +/- 1.752e-08 (1.217e-06%) cc[16] = -3.14159 +/- 1.051e-07 (3.344e-06%) dd[16] = -1.06726e-08 +/- 3.769e-08 (353.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Thu Oct 9 11:56:51 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.0435576992e+02 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 5 5.5222586758e+01 0.00e+00 2.23e+00 -1.689012e-02 1.765287e+00 -2.704659e-01 1.321850e-01 The fit was stopped by the user after 5 iterations. final sum of squares of residuals : 55.2226 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.936242 variance of residuals (reduced chisquare) = WSSR/ndf : 0.876549 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.0168901 +/- 0.1605 (950.3%) b[1] = 1.76529 +/- 3.461 (196.1%) c[1] = -0.270466 +/- 20.07 (7420%) d[1] = 0.132185 +/- 0.1161 (87.84%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.017 1.000 c[1] -0.011 -0.875 1.000 d[1] 0.051 0.145 -0.165 1.000 ******************************************************************************* Thu Oct 9 11:58:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1479213681e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0805823849e-12 -2.11e-04 3.04e-08 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.08058e-12 rel. change during last iteration : -2.11331e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83979e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.06442e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.953e-08 (4.953e-06%) bb[1] = 1.43934 +/- 1.703e-08 (1.183e-06%) cc[1] = -3.14159 +/- 9.958e-08 (3.17e-06%) dd[1] = -1.06726e-08 +/- 3.535e-08 (331.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Thu Oct 9 11:58:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 1.0419794328e+02 0.00e+00 8.98e-02 -1.689012e-02 1.765287e+00 -2.704659e-01 1.321850e-01 30 9.9888437337e+01 -9.47e-01 8.98e+00 -2.007520e-01 -6.087441e-01 3.192456e+00 1.508399e-01 After 30 iterations the fit converged. final sum of squares of residuals : 99.8884 rel. change during last iteration : -9.46636e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.25918 variance of residuals (reduced chisquare) = WSSR/ndf : 1.58553 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.200752 +/- 0.277 (138%) b[2] = -0.608744 +/- 0.9232 (151.6%) c[2] = 3.19246 +/- 4.972 (155.8%) d[2] = 0.15084 +/- 0.3492 (231.5%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.602 1.000 c[2] 0.590 -0.977 1.000 d[2] -0.557 0.898 -0.877 1.000 ******************************************************************************* Thu Oct 9 11:58:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 3.8738235503e-11 0.00e+00 3.19e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.5450267676e-12 -2.07e-01 3.19e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.54503e-12 rel. change during last iteration : -2.07164e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96675e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.80163e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.178e-08 (5.178e-06%) bb[2] = 1.43934 +/- 1.774e-08 (1.233e-06%) cc[2] = -3.1416 +/- 1.039e-07 (3.308e-06%) dd[2] = -1.06726e-08 +/- 3.693e-08 (346%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Thu Oct 9 11:58:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.4571308797e+02 0.00e+00 3.61e-01 -2.007520e-01 -6.087441e-01 3.192456e+00 1.508399e-01 10 3.0393445459e-11 -5.45e-04 3.61e-11 -2.115009e+00 1.439336e+00 -9.606251e+00 -1.457417e-06 After 10 iterations the fit converged. final sum of squares of residuals : 3.03934e-11 rel. change during last iteration : -5.45177e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.94576e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.82436e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -2.11501 +/- 1.201e-07 (5.681e-06%) b[3] = 1.43934 +/- 2.037e-08 (1.415e-06%) c[3] = -9.60625 +/- 1.186e-07 (1.235e-06%) d[3] = -1.45742e-06 +/- 8.674e-08 (5.952%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.041 1.000 c[3] 0.012 -0.874 1.000 d[3] 0.121 -0.144 0.169 1.000 ******************************************************************************* Thu Oct 9 11:58:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 3.7451619270e-11 0.00e+00 3.20e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 4.9590241140e-12 -2.25e-01 3.20e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.95902e-12 rel. change during last iteration : -2.24888e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80561e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.87147e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.9e-08 (4.9e-06%) bb[3] = 1.43934 +/- 1.673e-08 (1.162e-06%) cc[3] = -3.14159 +/- 9.819e-08 (3.126e-06%) dd[3] = -1.06726e-08 +/- 3.491e-08 (327.1%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Thu Oct 9 11:58:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 5.6060492636e+00 0.00e+00 9.48e+00 -2.115009e+00 1.439336e+00 -9.606251e+00 -1.457417e-06 9 3.1073481028e-11 -1.19e-02 9.48e-09 -2.251603e+00 1.439336e+00 -9.424778e+00 -1.368605e-06 After 9 iterations the fit converged. final sum of squares of residuals : 3.10735e-11 rel. change during last iteration : -1.18975e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.02303e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.9323e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -2.2516 +/- 1.227e-07 (5.451e-06%) b[4] = 1.43934 +/- 1.855e-08 (1.289e-06%) c[4] = -9.42478 +/- 1.091e-07 (1.157e-06%) d[4] = -1.3686e-06 +/- 8.737e-08 (6.384%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.019 1.000 c[4] -0.009 -0.868 1.000 d[4] 0.098 -0.115 0.155 1.000 ******************************************************************************* Thu Oct 9 11:58:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 1.8358062317e-10 0.00e+00 3.21e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.7366633433e-12 -9.16e-01 3.21e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73666e-12 rel. change during last iteration : -9.16036e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01758e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10581e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.274e-08 (5.274e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.055e-07 (3.358e-06%) dd[4] = -1.06726e-08 +/- 3.754e-08 (351.7%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Thu Oct 9 11:58:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 6.2017554658e+00 0.00e+00 1.01e+01 -2.251603e+00 1.439336e+00 -9.424778e+00 -1.368605e-06 5 2.4595098014e-11 -5.41e-01 1.01e-04 -2.115008e+00 1.439336e+00 -9.243304e+00 -1.368615e-06 After 5 iterations the fit converged. final sum of squares of residuals : 2.45951e-11 rel. change during last iteration : -5.41209e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.24819e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.90398e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -2.11501 +/- 1.103e-07 (5.215e-06%) b[5] = 1.43934 +/- 1.694e-08 (1.177e-06%) c[5] = -9.2433 +/- 1.001e-07 (1.083e-06%) d[5] = -1.36862e-06 +/- 7.749e-08 (5.662%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.001 1.000 c[5] -0.022 -0.862 1.000 d[5] 0.072 -0.084 0.137 1.000 ******************************************************************************* Thu Oct 9 11:58:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 1.8511539088e-10 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.8942154726e-12 0.00e+00 3.22e+02 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.89422e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78722e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.7686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.875e-08 (4.875e-06%) bb[5] = 1.43934 +/- 1.653e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.736e-08 (3.099e-06%) dd[5] = -1.06726e-08 +/- 3.467e-08 (324.8%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Thu Oct 9 11:58:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.2133046241e+01 0.00e+00 9.56e+00 -2.115008e+00 1.439336e+00 -9.243304e+00 -1.368615e-06 9 1.9021873488e-11 -6.42e-03 9.56e-09 -1.741519e+00 1.439336e+00 -9.007798e+00 -1.412157e-06 After 9 iterations the fit converged. final sum of squares of residuals : 1.90219e-11 rel. change during last iteration : -6.42495e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.49486e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.01934e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -1.74152 +/- 9.796e-08 (5.625e-06%) b[6] = 1.43934 +/- 1.752e-08 (1.217e-06%) c[6] = -9.0078 +/- 1.035e-07 (1.149e-06%) d[6] = -1.41216e-06 +/- 6.797e-08 (4.813%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.015 1.000 c[6] -0.026 -0.855 1.000 d[6] 0.038 -0.044 0.112 1.000 ******************************************************************************* Thu Oct 9 11:58:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 3.7728907498e-11 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.6471858074e-12 -1.73e-01 3.22e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.64719e-12 rel. change during last iteration : -1.72968e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99396e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.96379e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.241e-08 (5.241e-06%) bb[6] = 1.43934 +/- 1.771e-08 (1.23e-06%) cc[6] = -3.14159 +/- 1.045e-07 (3.326e-06%) dd[6] = -1.06726e-08 +/- 3.723e-08 (348.8%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Thu Oct 9 11:58:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 1.9903601954e+01 0.00e+00 7.85e+00 -1.741519e+00 1.439336e+00 -9.007798e+00 -1.412157e-06 6 9.5916155090e-12 -5.68e-01 7.85e-06 -1.261728e+00 1.439336e+00 -8.605900e+00 -1.412062e-06 After 6 iterations the fit converged. final sum of squares of residuals : 9.59162e-12 rel. change during last iteration : -5.68179e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.9019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.52248e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -1.26173 +/- 6.977e-08 (5.53e-06%) b[7] = 1.43934 +/- 1.703e-08 (1.183e-06%) c[7] = -8.6059 +/- 9.914e-08 (1.152e-06%) d[7] = -1.41206e-06 +/- 4.823e-08 (3.416%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.020 1.000 c[7] -0.007 -0.849 1.000 d[7] -0.019 0.025 0.058 1.000 ******************************************************************************* Thu Oct 9 11:58:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 3.5390677633e-11 0.00e+00 3.23e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.0487608087e-12 -1.56e-01 3.23e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.04876e-12 rel. change during last iteration : -1.55757e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83088e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01391e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.959e-08 (4.959e-06%) bb[7] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[7] = -3.14159 +/- 9.869e-08 (3.142e-06%) dd[7] = -1.06726e-08 +/- 3.519e-08 (329.7%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Thu Oct 9 11:58:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 2.4955371324e+01 0.00e+00 5.55e+00 -1.261728e+00 1.439336e+00 -8.605900e+00 -1.412062e-06 9 5.0210436722e-12 -1.23e-04 5.55e-07 -9.974681e-01 1.439336e+00 -7.853980e+00 -1.433897e-06 After 9 iterations the fit converged. final sum of squares of residuals : 5.02104e-12 rel. change during last iteration : -1.23086e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8231e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.96991e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.997468 +/- 4.886e-08 (4.899e-06%) b[8] = 1.43934 +/- 1.76e-08 (1.222e-06%) c[8] = -7.85398 +/- 9.876e-08 (1.257e-06%) d[8] = -1.4339e-06 +/- 3.526e-08 (2.459%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.040 1.000 c[8] 0.064 -0.865 1.000 d[8] -0.120 0.146 -0.082 1.000 ******************************************************************************* Thu Oct 9 11:58:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 1.9126072607e-10 0.00e+00 3.24e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.7615521961e-12 -9.42e-01 3.24e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.76155e-12 rel. change during last iteration : -9.42198e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.02412e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14532e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.301e-08 (5.301e-06%) bb[8] = 1.43934 +/- 1.779e-08 (1.236e-06%) cc[8] = -3.14159 +/- 1.053e-07 (3.353e-06%) dd[8] = -1.06726e-08 +/- 3.759e-08 (352.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Thu Oct 9 11:58:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.4335928077e+01 0.00e+00 3.97e+00 -9.974681e-01 1.439336e+00 -7.853980e+00 -1.433897e-06 9 9.5315878224e-12 0.00e+00 3.97e+02 -1.261730e+00 1.439336e+00 -7.102060e+00 -1.360866e-06 After 9 iterations the fit converged. final sum of squares of residuals : 9.53159e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.88967e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.51295e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -1.26173 +/- 6.607e-08 (5.236e-06%) b[9] = 1.43934 +/- 2.095e-08 (1.455e-06%) c[9] = -7.10206 +/- 1.19e-07 (1.676e-06%) d[9] = -1.36087e-06 +/- 4.904e-08 (3.604%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.087 1.000 c[9] 0.073 -0.886 1.000 d[9] -0.163 0.198 -0.182 1.000 ******************************************************************************* Thu Oct 9 11:58:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 1.8223442001e-10 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.9193659252e-12 -8.79e-06 3.25e-02 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.91937e-12 rel. change during last iteration : -8.79006e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79437e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80852e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.902e-08 (4.902e-06%) bb[9] = 1.43934 +/- 1.64e-08 (1.139e-06%) cc[9] = -3.14159 +/- 9.724e-08 (3.095e-06%) dd[9] = -1.06726e-08 +/- 3.472e-08 (325.3%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Thu Oct 9 11:58:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.8428069903e+01 0.00e+00 4.71e+00 -1.261730e+00 1.439336e+00 -7.102060e+00 -1.360866e-06 9 2.0327104618e-11 -3.81e-04 4.71e-09 -1.741520e+00 1.439336e+00 -6.700164e+00 -1.470571e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.03271e-11 rel. change during last iteration : -3.81183e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.68025e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.22652e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -1.74152 +/- 9.759e-08 (5.604e-06%) b[10] = 1.43934 +/- 2.085e-08 (1.449e-06%) c[10] = -6.70016 +/- 1.217e-07 (1.817e-06%) d[10] = -1.47057e-06 +/- 7.115e-08 (4.838%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.054 1.000 c[10] 0.027 -0.881 1.000 d[10] -0.136 0.163 -0.177 1.000 ******************************************************************************* Thu Oct 9 11:58:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 3.7950405191e-11 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.8349885918e-12 -1.71e-01 3.25e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.83499e-12 rel. change during last iteration : -1.70959e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.04333e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26189e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.342e-08 (5.342e-06%) bb[10] = 1.43934 +/- 1.781e-08 (1.238e-06%) cc[10] = -3.1416 +/- 1.058e-07 (3.368e-06%) dd[10] = -1.06726e-08 +/- 3.781e-08 (354.2%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Thu Oct 9 11:58:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.0706703176e+01 0.00e+00 6.54e+00 -1.741520e+00 1.439336e+00 -6.700164e+00 -1.470571e-06 9 2.3022893283e-11 -4.72e-03 6.54e-09 -2.115009e+00 1.439336e+00 -6.464658e+00 -1.385859e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.30229e-11 rel. change during last iteration : -4.72233e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.04519e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.65443e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -2.11501 +/- 1.052e-07 (4.972e-06%) b[11] = 1.43934 +/- 1.731e-08 (1.203e-06%) c[11] = -6.46466 +/- 1.025e-07 (1.585e-06%) d[11] = -1.38586e-06 +/- 7.533e-08 (5.436%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.026 1.000 c[11] -0.003 -0.874 1.000 d[11] -0.108 0.129 -0.161 1.000 ******************************************************************************* Thu Oct 9 11:58:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 3.7002624721e-11 0.00e+00 3.26e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 5.1807304984e-12 -1.71e-01 3.26e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.18073e-12 rel. change during last iteration : -1.7107e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86764e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22338e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.037e-08 (5.037e-06%) bb[11] = 1.43934 +/- 1.674e-08 (1.163e-06%) cc[11] = -3.14159 +/- 9.96e-08 (3.17e-06%) dd[11] = -1.06726e-08 +/- 3.562e-08 (333.7%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Thu Oct 9 11:58:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.6766154301e+00 0.00e+00 8.01e+00 -2.115009e+00 1.439336e+00 -6.464658e+00 -1.385859e-06 5 3.3148842947e-11 -8.17e-01 8.01e-05 -2.251603e+00 1.439336e+00 -6.283184e+00 -1.385858e-06 After 5 iterations the fit converged. final sum of squares of residuals : 3.31488e-11 rel. change during last iteration : -8.16704e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.25377e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.26172e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -2.2516 +/- 1.275e-07 (5.663e-06%) b[12] = 1.43934 +/- 1.876e-08 (1.303e-06%) c[12] = -6.28318 +/- 1.118e-07 (1.779e-06%) d[12] = -1.38586e-06 +/- 9.007e-08 (6.499%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.006 1.000 c[12] -0.019 -0.868 1.000 d[12] -0.083 0.098 -0.145 1.000 ******************************************************************************* Thu Oct 9 11:58:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 1.9036107710e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 4 5.6969570226e-12 -1.99e-05 3.27e-02 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.69696e-12 rel. change during last iteration : -1.99291e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.00712e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.04279e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.286e-08 (5.286e-06%) bb[12] = 1.43934 +/- 1.751e-08 (1.217e-06%) cc[12] = -3.14159 +/- 1.044e-07 (3.322e-06%) dd[12] = -1.06726e-08 +/- 3.734e-08 (349.9%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Thu Oct 9 11:58:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 6.2392492540e+00 0.00e+00 8.58e+00 -2.251603e+00 1.439336e+00 -6.283184e+00 -1.385858e-06 5 2.6144055192e-11 -4.44e-01 8.58e-05 -2.115008e+00 1.439336e+00 -6.101710e+00 -1.385870e-06 After 5 iterations the fit converged. final sum of squares of residuals : 2.61441e-11 rel. change during last iteration : -4.44047e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.44193e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.14985e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -2.11501 +/- 1.143e-07 (5.403e-06%) b[13] = 1.43934 +/- 1.719e-08 (1.194e-06%) c[13] = -6.10171 +/- 1.027e-07 (1.683e-06%) d[13] = -1.38587e-06 +/- 7.978e-08 (5.757%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.010 1.000 c[13] -0.028 -0.862 1.000 d[13] -0.057 0.067 -0.126 1.000 ******************************************************************************* Thu Oct 9 11:58:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 1.7986552739e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 5.2003047908e-12 -4.04e-05 3.27e-04 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.2003e-12 rel. change during last iteration : -4.04327e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87306e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.25445e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.054e-08 (5.054e-06%) bb[13] = 1.43934 +/- 1.669e-08 (1.16e-06%) cc[13] = -3.14159 +/- 9.961e-08 (3.171e-06%) dd[13] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Thu Oct 9 11:58:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.2025439015e+01 0.00e+00 8.07e+00 -2.115008e+00 1.439336e+00 -6.101710e+00 -1.385870e-06 9 2.3163068603e-11 -3.59e-03 8.07e-09 -1.741519e+00 1.439336e+00 -5.866204e+00 -1.454451e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.31631e-11 rel. change during last iteration : -3.58797e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.06356e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.67668e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -1.74152 +/- 1.084e-07 (6.223e-06%) b[14] = 1.43934 +/- 1.918e-08 (1.332e-06%) c[14] = -5.8662 +/- 1.142e-07 (1.947e-06%) d[14] = -1.45445e-06 +/- 7.495e-08 (5.153%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] 0.022 1.000 c[14] -0.027 -0.856 1.000 d[14] -0.023 0.026 -0.099 1.000 ******************************************************************************* Thu Oct 9 11:58:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 3.7733042656e-11 0.00e+00 3.28e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.8046691470e-12 -1.63e-01 3.28e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.80467e-12 rel. change during last iteration : -1.62868e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03542e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.21376e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.343e-08 (5.343e-06%) bb[14] = 1.43934 +/- 1.759e-08 (1.222e-06%) cc[14] = -3.14159 +/- 1.051e-07 (3.347e-06%) dd[14] = -1.06726e-08 +/- 3.768e-08 (353%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Thu Oct 9 11:58:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 1.9629255085e+01 0.00e+00 6.61e+00 -1.741519e+00 1.439336e+00 -5.866204e+00 -1.454451e-06 9 1.0088730463e-11 -1.60e-03 6.61e-09 -1.261729e+00 1.439336e+00 -5.464307e+00 -1.388901e-06 After 9 iterations the fit converged. final sum of squares of residuals : 1.00887e-11 rel. change during last iteration : -1.60341e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.00173e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.60139e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -1.26173 +/- 7.14e-08 (5.659e-06%) b[15] = 1.43934 +/- 1.76e-08 (1.223e-06%) c[15] = -5.46431 +/- 1.03e-07 (1.885e-06%) d[15] = -1.3889e-06 +/- 4.95e-08 (3.564%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] 0.019 1.000 c[15] -0.000 -0.853 1.000 d[15] 0.034 -0.042 -0.040 1.000 ******************************************************************************* Thu Oct 9 11:58:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 3.4821292998e-11 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.2039775772e-12 -1.49e-01 3.29e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.20398e-12 rel. change during last iteration : -1.49158e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.26028e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.063e-08 (5.063e-06%) bb[15] = 1.43934 +/- 1.662e-08 (1.154e-06%) cc[15] = -3.14159 +/- 9.947e-08 (3.166e-06%) dd[15] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Thu Oct 9 11:58:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.4595953822e+01 0.00e+00 4.63e+00 -1.261729e+00 1.439336e+00 -5.464307e+00 -1.388901e-06 9 4.9476265398e-12 -2.18e-04 4.63e-09 -9.974686e-01 1.439336e+00 -4.712388e+00 -1.421416e-06 After 9 iterations the fit converged. final sum of squares of residuals : 4.94763e-12 rel. change during last iteration : -2.18026e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80239e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.85338e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.997469 +/- 4.824e-08 (4.836e-06%) b[16] = 1.43934 +/- 1.788e-08 (1.242e-06%) c[16] = -4.71239 +/- 1.012e-07 (2.148e-06%) d[16] = -1.42142e-06 +/- 3.509e-08 (2.468%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.049 1.000 c[16] 0.069 -0.872 1.000 d[16] 0.132 -0.161 0.103 1.000 ******************************************************************************* Thu Oct 9 11:58:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 1.9137284223e-10 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 4 5.8140909976e-12 -5.28e-05 3.29e-04 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.81409e-12 rel. change during last iteration : -5.27909e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03788e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.22872e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.355e-08 (5.355e-06%) bb[16] = 1.43934 +/- 1.752e-08 (1.217e-06%) cc[16] = -3.14159 +/- 1.051e-07 (3.344e-06%) dd[16] = -1.06726e-08 +/- 3.769e-08 (353.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Thu Oct 9 11:58:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.0435576992e+02 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 19 1.1095257447e-11 -1.80e-04 2.23e-09 -1.261730e+00 1.439336e+00 2.322717e+00 -1.414481e-06 After 19 iterations the fit converged. final sum of squares of residuals : 1.10953e-11 rel. change during last iteration : -1.79898e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.19661e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.76115e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -1.26173 +/- 7.119e-08 (5.642e-06%) b[1] = 1.43934 +/- 2.268e-08 (1.575e-06%) c[1] = 2.32272 +/- 1.267e-07 (5.453e-06%) d[1] = -1.41448e-06 +/- 5.293e-08 (3.742%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.069 -0.883 1.000 d[1] 0.163 -0.200 0.176 1.000 ******************************************************************************* Thu Oct 9 11:59:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1479213681e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0805823849e-12 -2.11e-04 3.04e-08 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.08058e-12 rel. change during last iteration : -2.11331e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83979e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.06442e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.953e-08 (4.953e-06%) bb[1] = 1.43934 +/- 1.703e-08 (1.183e-06%) cc[1] = -3.14159 +/- 9.958e-08 (3.17e-06%) dd[1] = -1.06726e-08 +/- 3.535e-08 (331.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Thu Oct 9 11:59:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 1.8631792526e+01 0.00e+00 3.66e+00 -1.261730e+00 1.439336e+00 2.322717e+00 -1.414481e-06 9 2.1332493544e-11 -2.29e-05 3.66e-06 -1.741520e+00 1.439336e+00 2.724614e+00 -1.381601e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.13325e-11 rel. change during last iteration : -2.29278e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.81903e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38611e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -1.74152 +/- 9.95e-08 (5.714e-06%) b[2] = 1.43934 +/- 2.182e-08 (1.516e-06%) c[2] = 2.72461 +/- 1.251e-07 (4.592e-06%) d[2] = -1.3816e-06 +/- 7.305e-08 (5.287%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.056 1.000 c[2] 0.029 -0.881 1.000 d[2] 0.144 -0.176 0.182 1.000 ******************************************************************************* Thu Oct 9 11:59:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 3.8738235503e-11 0.00e+00 3.19e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.5450267676e-12 -2.07e-01 3.19e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.54503e-12 rel. change during last iteration : -2.07164e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96675e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.80163e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.178e-08 (5.178e-06%) bb[2] = 1.43934 +/- 1.774e-08 (1.233e-06%) cc[2] = -3.1416 +/- 1.039e-07 (3.308e-06%) dd[2] = -1.06726e-08 +/- 3.693e-08 (346%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Thu Oct 9 11:59:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.0736782997e+01 0.00e+00 5.27e+00 -1.741520e+00 1.439336e+00 2.724614e+00 -1.381601e-06 9 3.0393444993e-11 -3.31e-07 5.27e+01 -2.115009e+00 1.439336e+00 2.960119e+00 -1.457384e-06 After 9 iterations the fit converged. final sum of squares of residuals : 3.03934e-11 rel. change during last iteration : -3.31139e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.94576e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.82436e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -2.11501 +/- 1.201e-07 (5.68e-06%) b[3] = 1.43934 +/- 2.037e-08 (1.415e-06%) c[3] = 2.96012 +/- 1.186e-07 (4.008e-06%) d[3] = -1.45738e-06 +/- 8.674e-08 (5.952%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.030 1.000 c[3] -0.001 -0.874 1.000 d[3] 0.119 -0.144 0.169 1.000 ******************************************************************************* Thu Oct 9 11:59:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 3.7451619270e-11 0.00e+00 3.20e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 4.9590241140e-12 -2.25e-01 3.20e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.95902e-12 rel. change during last iteration : -2.24888e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80561e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.87147e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.9e-08 (4.9e-06%) bb[3] = 1.43934 +/- 1.673e-08 (1.162e-06%) cc[3] = -3.14159 +/- 9.819e-08 (3.126e-06%) dd[3] = -1.06726e-08 +/- 3.491e-08 (327.1%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Thu Oct 9 11:59:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 5.6060492636e+00 0.00e+00 6.63e+00 -2.115009e+00 1.439336e+00 2.960119e+00 -1.457384e-06 9 3.1073481029e-11 -8.40e-04 6.63e-09 -2.251603e+00 1.439336e+00 3.141593e+00 -1.368605e-06 After 9 iterations the fit converged. final sum of squares of residuals : 3.10735e-11 rel. change during last iteration : -8.40341e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.02303e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.9323e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -2.2516 +/- 1.228e-07 (5.452e-06%) b[4] = 1.43934 +/- 1.855e-08 (1.289e-06%) c[4] = 3.14159 +/- 1.091e-07 (3.471e-06%) d[4] = -1.3686e-06 +/- 8.737e-08 (6.384%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.008 1.000 c[4] -0.021 -0.868 1.000 d[4] 0.096 -0.115 0.155 1.000 ******************************************************************************* Thu Oct 9 11:59:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 1.8358062317e-10 0.00e+00 3.21e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.7366633433e-12 -9.16e-01 3.21e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73666e-12 rel. change during last iteration : -9.16036e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01758e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10581e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.274e-08 (5.274e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.055e-07 (3.358e-06%) dd[4] = -1.06726e-08 +/- 3.754e-08 (351.7%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Thu Oct 9 11:59:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 6.2017554658e+00 0.00e+00 7.24e+00 -2.251603e+00 1.439336e+00 3.141593e+00 -1.368605e-06 5 2.4594983565e-11 -9.43e-01 7.24e-05 -2.115008e+00 1.439336e+00 3.323067e+00 -1.368625e-06 After 5 iterations the fit converged. final sum of squares of residuals : 2.4595e-11 rel. change during last iteration : -9.43133e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.24817e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.90397e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -2.11501 +/- 1.103e-07 (5.217e-06%) b[5] = 1.43934 +/- 1.694e-08 (1.177e-06%) c[5] = 3.32307 +/- 1.001e-07 (3.012e-06%) d[5] = -1.36863e-06 +/- 7.749e-08 (5.662%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] 0.010 1.000 c[5] -0.034 -0.862 1.000 d[5] 0.070 -0.084 0.137 1.000 ******************************************************************************* Thu Oct 9 11:59:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 1.8511539088e-10 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.8942154726e-12 0.00e+00 3.22e+02 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.89422e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78722e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.7686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.875e-08 (4.875e-06%) bb[5] = 1.43934 +/- 1.653e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.736e-08 (3.099e-06%) dd[5] = -1.06726e-08 +/- 3.467e-08 (324.8%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Thu Oct 9 11:59:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.2133046241e+01 0.00e+00 6.96e+00 -2.115008e+00 1.439336e+00 3.323067e+00 -1.368625e-06 9 1.9021873489e-11 -7.98e-04 6.96e-09 -1.741519e+00 1.439336e+00 3.558573e+00 -1.412157e-06 After 9 iterations the fit converged. final sum of squares of residuals : 1.90219e-11 rel. change during last iteration : -7.97534e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.49486e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.01934e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -1.74152 +/- 9.799e-08 (5.627e-06%) b[6] = 1.43934 +/- 1.752e-08 (1.217e-06%) c[6] = 3.55857 +/- 1.035e-07 (2.908e-06%) d[6] = -1.41216e-06 +/- 6.797e-08 (4.813%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.025 1.000 c[6] -0.038 -0.855 1.000 d[6] 0.037 -0.044 0.112 1.000 ******************************************************************************* Thu Oct 9 11:59:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 3.7728907498e-11 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.6471858074e-12 -1.73e-01 3.22e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.64719e-12 rel. change during last iteration : -1.72968e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99396e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.96379e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.241e-08 (5.241e-06%) bb[6] = 1.43934 +/- 1.771e-08 (1.23e-06%) cc[6] = -3.14159 +/- 1.045e-07 (3.326e-06%) dd[6] = -1.06726e-08 +/- 3.723e-08 (348.8%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Thu Oct 9 11:59:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 1.9903601954e+01 0.00e+00 5.85e+00 -1.741519e+00 1.439336e+00 3.558573e+00 -1.412157e-06 6 9.5915737287e-12 -9.98e-01 5.85e-06 -1.261728e+00 1.439336e+00 3.960470e+00 -1.411989e-06 After 6 iterations the fit converged. final sum of squares of residuals : 9.59157e-12 rel. change during last iteration : -9.97831e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.90189e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.52247e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -1.26173 +/- 6.978e-08 (5.531e-06%) b[7] = 1.43934 +/- 1.703e-08 (1.183e-06%) c[7] = 3.96047 +/- 9.914e-08 (2.503e-06%) d[7] = -1.41199e-06 +/- 4.823e-08 (3.416%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.030 1.000 c[7] -0.018 -0.849 1.000 d[7] -0.020 0.025 0.058 1.000 ******************************************************************************* Thu Oct 9 11:59:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 3.5390677633e-11 0.00e+00 3.23e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.0487608087e-12 -1.56e-01 3.23e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.04876e-12 rel. change during last iteration : -1.55757e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83088e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01391e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.959e-08 (4.959e-06%) bb[7] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[7] = -3.14159 +/- 9.869e-08 (3.142e-06%) dd[7] = -1.06726e-08 +/- 3.519e-08 (329.7%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Thu Oct 9 11:59:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 2.4955371324e+01 0.00e+00 4.29e+00 -1.261728e+00 1.439336e+00 3.960470e+00 -1.411989e-06 9 5.0210436815e-12 -1.80e-04 4.29e-09 -9.974681e-01 1.439336e+00 4.712390e+00 -1.433899e-06 After 9 iterations the fit converged. final sum of squares of residuals : 5.02104e-12 rel. change during last iteration : -1.80009e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8231e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.96991e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.997468 +/- 4.883e-08 (4.895e-06%) b[8] = 1.43934 +/- 1.76e-08 (1.222e-06%) c[8] = 4.71239 +/- 9.876e-08 (2.096e-06%) d[8] = -1.4339e-06 +/- 3.526e-08 (2.459%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.029 1.000 c[8] 0.051 -0.865 1.000 d[8] -0.119 0.146 -0.082 1.000 ******************************************************************************* Thu Oct 9 11:59:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 1.9126072607e-10 0.00e+00 3.24e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.7615521961e-12 -9.42e-01 3.24e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.76155e-12 rel. change during last iteration : -9.42198e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.02412e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14532e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.301e-08 (5.301e-06%) bb[8] = 1.43934 +/- 1.779e-08 (1.236e-06%) cc[8] = -3.14159 +/- 1.053e-07 (3.353e-06%) dd[8] = -1.06726e-08 +/- 3.759e-08 (352.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Thu Oct 9 11:59:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.4335928077e+01 0.00e+00 3.31e+00 -9.974681e-01 1.439336e+00 4.712390e+00 -1.433899e-06 9 9.5315878405e-12 0.00e+00 3.31e+02 -1.261730e+00 1.439336e+00 5.464310e+00 -1.360861e-06 After 9 iterations the fit converged. final sum of squares of residuals : 9.53159e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.88967e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.51295e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -1.26173 +/- 6.6e-08 (5.231e-06%) b[9] = 1.43934 +/- 2.095e-08 (1.455e-06%) c[9] = 5.46431 +/- 1.19e-07 (2.179e-06%) d[9] = -1.36086e-06 +/- 4.904e-08 (3.604%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.074 1.000 c[9] 0.059 -0.886 1.000 d[9] -0.161 0.198 -0.182 1.000 ******************************************************************************* Thu Oct 9 11:59:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 1.8223442001e-10 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.9193659252e-12 -8.79e-06 3.25e-02 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.91937e-12 rel. change during last iteration : -8.79006e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79437e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80852e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.902e-08 (4.902e-06%) bb[9] = 1.43934 +/- 1.64e-08 (1.139e-06%) cc[9] = -3.14159 +/- 9.724e-08 (3.095e-06%) dd[9] = -1.06726e-08 +/- 3.472e-08 (325.3%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Thu Oct 9 11:59:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.8428069904e+01 0.00e+00 4.28e+00 -1.261730e+00 1.439336e+00 5.464310e+00 -1.360861e-06 9 2.0327104572e-11 -1.01e-05 4.28e+00 -1.741520e+00 1.439336e+00 5.866207e+00 -1.470545e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.03271e-11 rel. change during last iteration : -1.01171e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.68025e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.22652e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -1.74152 +/- 9.756e-08 (5.602e-06%) b[10] = 1.43934 +/- 2.085e-08 (1.449e-06%) c[10] = 5.86621 +/- 1.217e-07 (2.075e-06%) d[10] = -1.47055e-06 +/- 7.115e-08 (4.838%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.042 1.000 c[10] 0.013 -0.881 1.000 d[10] -0.134 0.163 -0.177 1.000 ******************************************************************************* Thu Oct 9 11:59:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 3.7950405191e-11 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.8349885918e-12 -1.71e-01 3.25e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.83499e-12 rel. change during last iteration : -1.70959e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.04333e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26189e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.342e-08 (5.342e-06%) bb[10] = 1.43934 +/- 1.781e-08 (1.238e-06%) cc[10] = -3.1416 +/- 1.058e-07 (3.368e-06%) dd[10] = -1.06726e-08 +/- 3.781e-08 (354.2%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Thu Oct 9 11:59:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.0706703176e+01 0.00e+00 6.24e+00 -1.741520e+00 1.439336e+00 5.866207e+00 -1.470545e-06 9 2.3022893276e-11 -3.52e-03 6.24e-09 -2.115009e+00 1.439336e+00 6.101713e+00 -1.385859e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.30229e-11 rel. change during last iteration : -3.5234e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.04519e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.65443e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -2.11501 +/- 1.052e-07 (4.973e-06%) b[11] = 1.43934 +/- 1.731e-08 (1.203e-06%) c[11] = 6.10171 +/- 1.025e-07 (1.679e-06%) d[11] = -1.38586e-06 +/- 7.533e-08 (5.436%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.015 1.000 c[11] -0.016 -0.874 1.000 d[11] -0.106 0.129 -0.161 1.000 ******************************************************************************* Thu Oct 9 11:59:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 3.7002624721e-11 0.00e+00 3.26e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 5.1807304984e-12 -1.71e-01 3.26e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.18073e-12 rel. change during last iteration : -1.7107e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86764e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22338e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.037e-08 (5.037e-06%) bb[11] = 1.43934 +/- 1.674e-08 (1.163e-06%) cc[11] = -3.14159 +/- 9.96e-08 (3.17e-06%) dd[11] = -1.06726e-08 +/- 3.562e-08 (333.7%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Thu Oct 9 11:59:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.6766154301e+00 0.00e+00 7.85e+00 -2.115009e+00 1.439336e+00 6.101713e+00 -1.385859e-06 5 3.3148842911e-11 -6.24e-02 7.85e-05 -2.251603e+00 1.439336e+00 6.283186e+00 -1.385858e-06 After 5 iterations the fit converged. final sum of squares of residuals : 3.31488e-11 rel. change during last iteration : -6.23555e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.25377e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.26172e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -2.2516 +/- 1.275e-07 (5.665e-06%) b[12] = 1.43934 +/- 1.876e-08 (1.303e-06%) c[12] = 6.28319 +/- 1.118e-07 (1.779e-06%) d[12] = -1.38586e-06 +/- 9.007e-08 (6.499%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.004 1.000 c[12] -0.032 -0.868 1.000 d[12] -0.081 0.098 -0.145 1.000 ******************************************************************************* Thu Oct 9 11:59:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 1.9036107710e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 4 5.6969570226e-12 -1.99e-05 3.27e-02 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.69696e-12 rel. change during last iteration : -1.99291e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.00712e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.04279e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.286e-08 (5.286e-06%) bb[12] = 1.43934 +/- 1.751e-08 (1.217e-06%) cc[12] = -3.14159 +/- 1.044e-07 (3.322e-06%) dd[12] = -1.06726e-08 +/- 3.734e-08 (349.9%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Thu Oct 9 11:59:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 6.2392492540e+00 0.00e+00 8.58e+00 -2.251603e+00 1.439336e+00 6.283186e+00 -1.385858e-06 5 2.6144055634e-11 -4.29e-01 8.58e-05 -2.115008e+00 1.439336e+00 6.464660e+00 -1.385870e-06 After 5 iterations the fit converged. final sum of squares of residuals : 2.61441e-11 rel. change during last iteration : -4.28595e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.44193e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.14985e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -2.11501 +/- 1.143e-07 (5.405e-06%) b[13] = 1.43934 +/- 1.719e-08 (1.194e-06%) c[13] = 6.46466 +/- 1.027e-07 (1.588e-06%) d[13] = -1.38587e-06 +/- 7.978e-08 (5.757%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.020 1.000 c[13] -0.040 -0.862 1.000 d[13] -0.056 0.067 -0.126 1.000 ******************************************************************************* Thu Oct 9 11:59:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 1.7986552739e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 5.2003047908e-12 -4.04e-05 3.27e-04 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.2003e-12 rel. change during last iteration : -4.04327e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87306e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.25445e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.054e-08 (5.054e-06%) bb[13] = 1.43934 +/- 1.669e-08 (1.16e-06%) cc[13] = -3.14159 +/- 9.961e-08 (3.171e-06%) dd[13] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Thu Oct 9 11:59:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.2025439016e+01 0.00e+00 8.24e+00 -2.115008e+00 1.439336e+00 6.464660e+00 -1.385870e-06 9 2.3163068606e-11 -4.14e-03 8.24e-09 -1.741519e+00 1.439336e+00 6.700166e+00 -1.454451e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.31631e-11 rel. change during last iteration : -4.13705e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.06356e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.67668e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -1.74152 +/- 1.084e-07 (6.225e-06%) b[14] = 1.43934 +/- 1.918e-08 (1.332e-06%) c[14] = 6.70017 +/- 1.142e-07 (1.704e-06%) d[14] = -1.45445e-06 +/- 7.495e-08 (5.153%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] 0.031 1.000 c[14] -0.038 -0.856 1.000 d[14] -0.022 0.026 -0.099 1.000 ******************************************************************************* Thu Oct 9 11:59:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 3.7733042656e-11 0.00e+00 3.28e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.8046691470e-12 -1.63e-01 3.28e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.80467e-12 rel. change during last iteration : -1.62868e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03542e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.21376e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.343e-08 (5.343e-06%) bb[14] = 1.43934 +/- 1.759e-08 (1.222e-06%) cc[14] = -3.14159 +/- 1.051e-07 (3.347e-06%) dd[14] = -1.06726e-08 +/- 3.768e-08 (353%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Thu Oct 9 11:59:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 1.9629255085e+01 0.00e+00 6.92e+00 -1.741519e+00 1.439336e+00 6.700166e+00 -1.454451e-06 9 1.0088730462e-11 -2.37e-03 6.92e-09 -1.261729e+00 1.439336e+00 7.102064e+00 -1.388901e-06 After 9 iterations the fit converged. final sum of squares of residuals : 1.00887e-11 rel. change during last iteration : -2.37087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.00173e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.60139e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -1.26173 +/- 7.14e-08 (5.659e-06%) b[15] = 1.43934 +/- 1.76e-08 (1.223e-06%) c[15] = 7.10206 +/- 1.03e-07 (1.45e-06%) d[15] = -1.3889e-06 +/- 4.95e-08 (3.564%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] 0.029 1.000 c[15] -0.012 -0.853 1.000 d[15] 0.035 -0.042 -0.040 1.000 ******************************************************************************* Thu Oct 9 11:59:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 3.4821292998e-11 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.2039775772e-12 -1.49e-01 3.29e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.20398e-12 rel. change during last iteration : -1.49158e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.26028e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.063e-08 (5.063e-06%) bb[15] = 1.43934 +/- 1.662e-08 (1.154e-06%) cc[15] = -3.14159 +/- 9.947e-08 (3.166e-06%) dd[15] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Thu Oct 9 11:59:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.4595953822e+01 0.00e+00 5.08e+00 -1.261729e+00 1.439336e+00 7.102064e+00 -1.388901e-06 9 4.9476265335e-12 -4.21e-04 5.08e-09 -9.974686e-01 1.439336e+00 7.853983e+00 -1.421416e-06 After 9 iterations the fit converged. final sum of squares of residuals : 4.94763e-12 rel. change during last iteration : -4.21034e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80239e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.85338e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.997469 +/- 4.82e-08 (4.832e-06%) b[16] = 1.43934 +/- 1.788e-08 (1.242e-06%) c[16] = 7.85398 +/- 1.012e-07 (1.289e-06%) d[16] = -1.42142e-06 +/- 3.509e-08 (2.468%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.038 1.000 c[16] 0.056 -0.872 1.000 d[16] 0.130 -0.161 0.103 1.000 ******************************************************************************* Thu Oct 9 11:59:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 1.9137284223e-10 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 4 5.8140909976e-12 -5.28e-05 3.29e-04 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.81409e-12 rel. change during last iteration : -5.27909e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03788e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.22872e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.355e-08 (5.355e-06%) bb[16] = 1.43934 +/- 1.752e-08 (1.217e-06%) cc[16] = -3.14159 +/- 1.051e-07 (3.344e-06%) dd[16] = -1.06726e-08 +/- 3.769e-08 (353.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Thu Oct 9 11:59:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.0435576992e+02 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 19 1.1095257447e-11 -1.80e-04 2.23e-09 -1.261730e+00 1.439336e+00 2.322717e+00 -1.414481e-06 After 19 iterations the fit converged. final sum of squares of residuals : 1.10953e-11 rel. change during last iteration : -1.79898e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.19661e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.76115e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -1.26173 +/- 7.119e-08 (5.642e-06%) b[1] = 1.43934 +/- 2.268e-08 (1.575e-06%) c[1] = 2.32272 +/- 1.267e-07 (5.453e-06%) d[1] = -1.41448e-06 +/- 5.293e-08 (3.742%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.069 -0.883 1.000 d[1] 0.163 -0.200 0.176 1.000 ******************************************************************************* Thu Oct 9 11:59:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1479213681e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0805823849e-12 -2.11e-04 3.04e-08 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.08058e-12 rel. change during last iteration : -2.11331e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83979e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.06442e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.953e-08 (4.953e-06%) bb[1] = 1.43934 +/- 1.703e-08 (1.183e-06%) cc[1] = -3.14159 +/- 9.958e-08 (3.17e-06%) dd[1] = -1.06726e-08 +/- 3.535e-08 (331.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Thu Oct 9 11:59:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 1.8631792526e+01 0.00e+00 3.66e+00 -1.261730e+00 1.439336e+00 2.322717e+00 -1.414481e-06 9 2.1332493544e-11 -2.29e-05 3.66e-06 -1.741520e+00 1.439336e+00 2.724614e+00 -1.381601e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.13325e-11 rel. change during last iteration : -2.29278e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.81903e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38611e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -1.74152 +/- 9.95e-08 (5.714e-06%) b[2] = 1.43934 +/- 2.182e-08 (1.516e-06%) c[2] = 2.72461 +/- 1.251e-07 (4.592e-06%) d[2] = -1.3816e-06 +/- 7.305e-08 (5.287%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.056 1.000 c[2] 0.029 -0.881 1.000 d[2] 0.144 -0.176 0.182 1.000 ******************************************************************************* Thu Oct 9 11:59:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 3.8738235503e-11 0.00e+00 3.19e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.5450267676e-12 -2.07e-01 3.19e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.54503e-12 rel. change during last iteration : -2.07164e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96675e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.80163e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.178e-08 (5.178e-06%) bb[2] = 1.43934 +/- 1.774e-08 (1.233e-06%) cc[2] = -3.1416 +/- 1.039e-07 (3.308e-06%) dd[2] = -1.06726e-08 +/- 3.693e-08 (346%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Thu Oct 9 11:59:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.0736782997e+01 0.00e+00 5.27e+00 -1.741520e+00 1.439336e+00 2.724614e+00 -1.381601e-06 9 3.0393444993e-11 -3.31e-07 5.27e+01 -2.115009e+00 1.439336e+00 2.960119e+00 -1.457384e-06 After 9 iterations the fit converged. final sum of squares of residuals : 3.03934e-11 rel. change during last iteration : -3.31139e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.94576e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.82436e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -2.11501 +/- 1.201e-07 (5.68e-06%) b[3] = 1.43934 +/- 2.037e-08 (1.415e-06%) c[3] = 2.96012 +/- 1.186e-07 (4.008e-06%) d[3] = -1.45738e-06 +/- 8.674e-08 (5.952%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.030 1.000 c[3] -0.001 -0.874 1.000 d[3] 0.119 -0.144 0.169 1.000 ******************************************************************************* Thu Oct 9 11:59:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 3.7451619270e-11 0.00e+00 3.20e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 4.9590241140e-12 -2.25e-01 3.20e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.95902e-12 rel. change during last iteration : -2.24888e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80561e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.87147e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.9e-08 (4.9e-06%) bb[3] = 1.43934 +/- 1.673e-08 (1.162e-06%) cc[3] = -3.14159 +/- 9.819e-08 (3.126e-06%) dd[3] = -1.06726e-08 +/- 3.491e-08 (327.1%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Thu Oct 9 11:59:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 5.6060492636e+00 0.00e+00 6.63e+00 -2.115009e+00 1.439336e+00 2.960119e+00 -1.457384e-06 9 3.1073481029e-11 -8.40e-04 6.63e-09 -2.251603e+00 1.439336e+00 3.141593e+00 -1.368605e-06 After 9 iterations the fit converged. final sum of squares of residuals : 3.10735e-11 rel. change during last iteration : -8.40341e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.02303e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.9323e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -2.2516 +/- 1.228e-07 (5.452e-06%) b[4] = 1.43934 +/- 1.855e-08 (1.289e-06%) c[4] = 3.14159 +/- 1.091e-07 (3.471e-06%) d[4] = -1.3686e-06 +/- 8.737e-08 (6.384%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.008 1.000 c[4] -0.021 -0.868 1.000 d[4] 0.096 -0.115 0.155 1.000 ******************************************************************************* Thu Oct 9 11:59:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] ******************************************************************************* Thu Oct 9 11:59:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 6.2017554658e+00 0.00e+00 7.24e+00 -2.251603e+00 1.439336e+00 3.141593e+00 -1.368605e-06 5 2.4594983565e-11 -9.43e-01 7.24e-05 -2.115008e+00 1.439336e+00 3.323067e+00 -1.368625e-06 After 5 iterations the fit converged. final sum of squares of residuals : 2.4595e-11 rel. change during last iteration : -9.43133e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.24817e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.90397e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -2.11501 +/- 1.103e-07 (5.217e-06%) b[5] = 1.43934 +/- 1.694e-08 (1.177e-06%) c[5] = 3.32307 +/- 1.001e-07 (3.012e-06%) d[5] = -1.36863e-06 +/- 7.749e-08 (5.662%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] 0.010 1.000 c[5] -0.034 -0.862 1.000 d[5] 0.070 -0.084 0.137 1.000 ******************************************************************************* Thu Oct 9 11:59:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 7.2157480127e-10 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 4 4.8942154708e-12 -3.32e-05 3.22e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.89422e-12 rel. change during last iteration : -3.315e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78722e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.7686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.875e-08 (4.875e-06%) bb[5] = 1.43934 +/- 1.653e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.736e-08 (3.099e-06%) dd[5] = -1.06726e-08 +/- 3.467e-08 (324.8%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Thu Oct 9 11:59:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.2133046241e+01 0.00e+00 6.96e+00 -2.115008e+00 1.439336e+00 3.323067e+00 -1.368625e-06 9 1.9021873489e-11 -7.98e-04 6.96e-09 -1.741519e+00 1.439336e+00 3.558573e+00 -1.412157e-06 After 9 iterations the fit converged. final sum of squares of residuals : 1.90219e-11 rel. change during last iteration : -7.97534e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.49486e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.01934e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -1.74152 +/- 9.799e-08 (5.627e-06%) b[6] = 1.43934 +/- 1.752e-08 (1.217e-06%) c[6] = 3.55857 +/- 1.035e-07 (2.908e-06%) d[6] = -1.41216e-06 +/- 6.797e-08 (4.813%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.025 1.000 c[6] -0.038 -0.855 1.000 d[6] 0.037 -0.044 0.112 1.000 ******************************************************************************* Thu Oct 9 11:59:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 3.7728926133e-11 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.6471858074e-12 -1.73e-01 3.22e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.64719e-12 rel. change during last iteration : -1.72934e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99396e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.96379e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.241e-08 (5.241e-06%) bb[6] = 1.43934 +/- 1.771e-08 (1.23e-06%) cc[6] = -3.14159 +/- 1.045e-07 (3.326e-06%) dd[6] = -1.06726e-08 +/- 3.723e-08 (348.8%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Thu Oct 9 11:59:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 1.9903601954e+01 0.00e+00 5.85e+00 -1.741519e+00 1.439336e+00 3.558573e+00 -1.412157e-06 6 9.5915737287e-12 -9.98e-01 5.85e-06 -1.261728e+00 1.439336e+00 3.960470e+00 -1.411989e-06 After 6 iterations the fit converged. final sum of squares of residuals : 9.59157e-12 rel. change during last iteration : -9.97831e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.90189e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.52247e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -1.26173 +/- 6.978e-08 (5.531e-06%) b[7] = 1.43934 +/- 1.703e-08 (1.183e-06%) c[7] = 3.96047 +/- 9.914e-08 (2.503e-06%) d[7] = -1.41199e-06 +/- 4.823e-08 (3.416%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.030 1.000 c[7] -0.018 -0.849 1.000 d[7] -0.020 0.025 0.058 1.000 ******************************************************************************* Thu Oct 9 11:59:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 3.5390677634e-11 0.00e+00 3.23e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.0487608087e-12 -1.56e-01 3.23e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.04876e-12 rel. change during last iteration : -1.55757e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83088e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01391e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.959e-08 (4.959e-06%) bb[7] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[7] = -3.14159 +/- 9.869e-08 (3.142e-06%) dd[7] = -1.06726e-08 +/- 3.519e-08 (329.7%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Thu Oct 9 11:59:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 2.4955371324e+01 0.00e+00 4.29e+00 -1.261728e+00 1.439336e+00 3.960470e+00 -1.411989e-06 9 5.0210436815e-12 -1.80e-04 4.29e-09 -9.974681e-01 1.439336e+00 4.712390e+00 -1.433899e-06 After 9 iterations the fit converged. final sum of squares of residuals : 5.02104e-12 rel. change during last iteration : -1.80009e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8231e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.96991e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.997468 +/- 4.883e-08 (4.895e-06%) b[8] = 1.43934 +/- 1.76e-08 (1.222e-06%) c[8] = 4.71239 +/- 9.876e-08 (2.096e-06%) d[8] = -1.4339e-06 +/- 3.526e-08 (2.459%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.029 1.000 c[8] 0.051 -0.865 1.000 d[8] -0.119 0.146 -0.082 1.000 ******************************************************************************* Thu Oct 9 11:59:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 1.9126072607e-10 0.00e+00 3.24e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.7615521961e-12 -9.42e-01 3.24e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.76155e-12 rel. change during last iteration : -9.42198e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.02412e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14532e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.301e-08 (5.301e-06%) bb[8] = 1.43934 +/- 1.779e-08 (1.236e-06%) cc[8] = -3.14159 +/- 1.053e-07 (3.353e-06%) dd[8] = -1.06726e-08 +/- 3.759e-08 (352.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Thu Oct 9 11:59:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.4335928077e+01 0.00e+00 3.31e+00 -9.974681e-01 1.439336e+00 4.712390e+00 -1.433899e-06 9 9.5315878405e-12 0.00e+00 3.31e+02 -1.261730e+00 1.439336e+00 5.464310e+00 -1.360861e-06 After 9 iterations the fit converged. final sum of squares of residuals : 9.53159e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.88967e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.51295e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -1.26173 +/- 6.6e-08 (5.231e-06%) b[9] = 1.43934 +/- 2.095e-08 (1.455e-06%) c[9] = 5.46431 +/- 1.19e-07 (2.179e-06%) d[9] = -1.36086e-06 +/- 4.904e-08 (3.604%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.074 1.000 c[9] 0.059 -0.886 1.000 d[9] -0.161 0.198 -0.182 1.000 ******************************************************************************* Thu Oct 9 11:59:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 1.8223442001e-10 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.9193659252e-12 -8.79e-06 3.25e-02 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.91937e-12 rel. change during last iteration : -8.79006e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79437e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80852e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.902e-08 (4.902e-06%) bb[9] = 1.43934 +/- 1.64e-08 (1.139e-06%) cc[9] = -3.14159 +/- 9.724e-08 (3.095e-06%) dd[9] = -1.06726e-08 +/- 3.472e-08 (325.3%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Thu Oct 9 11:59:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.8428069904e+01 0.00e+00 4.28e+00 -1.261730e+00 1.439336e+00 5.464310e+00 -1.360861e-06 9 2.0327104572e-11 -1.01e-05 4.28e+00 -1.741520e+00 1.439336e+00 5.866207e+00 -1.470545e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.03271e-11 rel. change during last iteration : -1.01171e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.68025e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.22652e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -1.74152 +/- 9.756e-08 (5.602e-06%) b[10] = 1.43934 +/- 2.085e-08 (1.449e-06%) c[10] = 5.86621 +/- 1.217e-07 (2.075e-06%) d[10] = -1.47055e-06 +/- 7.115e-08 (4.838%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.042 1.000 c[10] 0.013 -0.881 1.000 d[10] -0.134 0.163 -0.177 1.000 ******************************************************************************* Thu Oct 9 11:59:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 3.7950405191e-11 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.8349885918e-12 -1.71e-01 3.25e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.83499e-12 rel. change during last iteration : -1.70959e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.04333e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26189e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.342e-08 (5.342e-06%) bb[10] = 1.43934 +/- 1.781e-08 (1.238e-06%) cc[10] = -3.1416 +/- 1.058e-07 (3.368e-06%) dd[10] = -1.06726e-08 +/- 3.781e-08 (354.2%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Thu Oct 9 11:59:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.0706703176e+01 0.00e+00 6.24e+00 -1.741520e+00 1.439336e+00 5.866207e+00 -1.470545e-06 9 2.3022893276e-11 -3.52e-03 6.24e-09 -2.115009e+00 1.439336e+00 6.101713e+00 -1.385859e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.30229e-11 rel. change during last iteration : -3.5234e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.04519e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.65443e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -2.11501 +/- 1.052e-07 (4.973e-06%) b[11] = 1.43934 +/- 1.731e-08 (1.203e-06%) c[11] = 6.10171 +/- 1.025e-07 (1.679e-06%) d[11] = -1.38586e-06 +/- 7.533e-08 (5.436%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.015 1.000 c[11] -0.016 -0.874 1.000 d[11] -0.106 0.129 -0.161 1.000 ******************************************************************************* Thu Oct 9 11:59:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 3.7002624721e-11 0.00e+00 3.26e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 5.1807304984e-12 -1.71e-01 3.26e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.18073e-12 rel. change during last iteration : -1.7107e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86764e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22338e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.037e-08 (5.037e-06%) bb[11] = 1.43934 +/- 1.674e-08 (1.163e-06%) cc[11] = -3.14159 +/- 9.96e-08 (3.17e-06%) dd[11] = -1.06726e-08 +/- 3.562e-08 (333.7%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Thu Oct 9 11:59:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.6766154301e+00 0.00e+00 7.85e+00 -2.115009e+00 1.439336e+00 6.101713e+00 -1.385859e-06 5 3.3148842911e-11 -6.24e-02 7.85e-05 -2.251603e+00 1.439336e+00 6.283186e+00 -1.385858e-06 After 5 iterations the fit converged. final sum of squares of residuals : 3.31488e-11 rel. change during last iteration : -6.23555e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.25377e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 5.26172e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -2.2516 +/- 1.275e-07 (5.665e-06%) b[12] = 1.43934 +/- 1.876e-08 (1.303e-06%) c[12] = 6.28319 +/- 1.118e-07 (1.779e-06%) d[12] = -1.38586e-06 +/- 9.007e-08 (6.499%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.004 1.000 c[12] -0.032 -0.868 1.000 d[12] -0.081 0.098 -0.145 1.000 ******************************************************************************* Thu Oct 9 11:59:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 1.9036107710e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 4 5.6969570226e-12 -1.99e-05 3.27e-02 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.69696e-12 rel. change during last iteration : -1.99291e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.00712e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.04279e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.286e-08 (5.286e-06%) bb[12] = 1.43934 +/- 1.751e-08 (1.217e-06%) cc[12] = -3.14159 +/- 1.044e-07 (3.322e-06%) dd[12] = -1.06726e-08 +/- 3.734e-08 (349.9%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Thu Oct 9 11:59:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 6.2392492540e+00 0.00e+00 8.58e+00 -2.251603e+00 1.439336e+00 6.283186e+00 -1.385858e-06 5 2.6144055634e-11 -4.29e-01 8.58e-05 -2.115008e+00 1.439336e+00 6.464660e+00 -1.385870e-06 After 5 iterations the fit converged. final sum of squares of residuals : 2.61441e-11 rel. change during last iteration : -4.28595e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.44193e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 4.14985e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -2.11501 +/- 1.143e-07 (5.405e-06%) b[13] = 1.43934 +/- 1.719e-08 (1.194e-06%) c[13] = 6.46466 +/- 1.027e-07 (1.588e-06%) d[13] = -1.38587e-06 +/- 7.978e-08 (5.757%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.020 1.000 c[13] -0.040 -0.862 1.000 d[13] -0.056 0.067 -0.126 1.000 ******************************************************************************* Thu Oct 9 11:59:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 1.7986552739e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 5.2003047908e-12 -4.04e-05 3.27e-04 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.2003e-12 rel. change during last iteration : -4.04327e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87306e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.25445e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.054e-08 (5.054e-06%) bb[13] = 1.43934 +/- 1.669e-08 (1.16e-06%) cc[13] = -3.14159 +/- 9.961e-08 (3.171e-06%) dd[13] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Thu Oct 9 11:59:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.2025439016e+01 0.00e+00 8.24e+00 -2.115008e+00 1.439336e+00 6.464660e+00 -1.385870e-06 9 2.3163068606e-11 -4.14e-03 8.24e-09 -1.741519e+00 1.439336e+00 6.700166e+00 -1.454451e-06 After 9 iterations the fit converged. final sum of squares of residuals : 2.31631e-11 rel. change during last iteration : -4.13705e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.06356e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 3.67668e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -1.74152 +/- 1.084e-07 (6.225e-06%) b[14] = 1.43934 +/- 1.918e-08 (1.332e-06%) c[14] = 6.70017 +/- 1.142e-07 (1.704e-06%) d[14] = -1.45445e-06 +/- 7.495e-08 (5.153%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] 0.031 1.000 c[14] -0.038 -0.856 1.000 d[14] -0.022 0.026 -0.099 1.000 ******************************************************************************* Thu Oct 9 11:59:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 3.7733042656e-11 0.00e+00 3.28e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.8046691470e-12 -1.63e-01 3.28e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.80467e-12 rel. change during last iteration : -1.62868e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03542e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.21376e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.343e-08 (5.343e-06%) bb[14] = 1.43934 +/- 1.759e-08 (1.222e-06%) cc[14] = -3.14159 +/- 1.051e-07 (3.347e-06%) dd[14] = -1.06726e-08 +/- 3.768e-08 (353%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Thu Oct 9 11:59:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 1.9629255085e+01 0.00e+00 6.92e+00 -1.741519e+00 1.439336e+00 6.700166e+00 -1.454451e-06 9 1.0088730462e-11 -2.37e-03 6.92e-09 -1.261729e+00 1.439336e+00 7.102064e+00 -1.388901e-06 After 9 iterations the fit converged. final sum of squares of residuals : 1.00887e-11 rel. change during last iteration : -2.37087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.00173e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 1.60139e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -1.26173 +/- 7.14e-08 (5.659e-06%) b[15] = 1.43934 +/- 1.76e-08 (1.223e-06%) c[15] = 7.10206 +/- 1.03e-07 (1.45e-06%) d[15] = -1.3889e-06 +/- 4.95e-08 (3.564%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] 0.029 1.000 c[15] -0.012 -0.853 1.000 d[15] 0.035 -0.042 -0.040 1.000 ******************************************************************************* Thu Oct 9 11:59:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 3.4821292998e-11 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.2039775772e-12 -1.49e-01 3.29e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.20398e-12 rel. change during last iteration : -1.49158e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.26028e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.063e-08 (5.063e-06%) bb[15] = 1.43934 +/- 1.662e-08 (1.154e-06%) cc[15] = -3.14159 +/- 9.947e-08 (3.166e-06%) dd[15] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Thu Oct 9 11:59:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.4595953822e+01 0.00e+00 5.08e+00 -1.261729e+00 1.439336e+00 7.102064e+00 -1.388901e-06 9 4.9476265335e-12 -4.21e-04 5.08e-09 -9.974686e-01 1.439336e+00 7.853983e+00 -1.421416e-06 After 9 iterations the fit converged. final sum of squares of residuals : 4.94763e-12 rel. change during last iteration : -4.21034e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80239e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.85338e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.997469 +/- 4.82e-08 (4.832e-06%) b[16] = 1.43934 +/- 1.788e-08 (1.242e-06%) c[16] = 7.85398 +/- 1.012e-07 (1.289e-06%) d[16] = -1.42142e-06 +/- 3.509e-08 (2.468%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.038 1.000 c[16] 0.056 -0.872 1.000 d[16] 0.130 -0.161 0.103 1.000 ******************************************************************************* Thu Oct 9 11:59:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 1.9137284223e-10 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 4 5.8140909976e-12 -5.29e-05 3.29e-04 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.81409e-12 rel. change during last iteration : -5.29034e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03788e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.22872e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.355e-08 (5.355e-06%) bb[16] = 1.43934 +/- 1.752e-08 (1.217e-06%) cc[16] = -3.14159 +/- 1.051e-07 (3.344e-06%) dd[16] = -1.06726e-08 +/- 3.769e-08 (353.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Thu Oct 9 12:00:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.0435576992e+00 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 19 1.1095257443e-13 -1.87e-04 2.23e-10 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 After 19 iterations the fit converged. final sum of squares of residuals : 1.10953e-13 rel. change during last iteration : -1.8684e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.19661e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.76115e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.126173 +/- 7.119e-09 (5.642e-06%) b[1] = 1.43934 +/- 2.268e-08 (1.575e-06%) c[1] = 2.32272 +/- 1.267e-07 (5.453e-06%) d[1] = -1.41448e-07 +/- 5.293e-09 (3.742%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.069 -0.883 1.000 d[1] 0.163 -0.200 0.176 1.000 ******************************************************************************* Thu Oct 9 12:00:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1479213681e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0805823849e-12 -2.11e-04 3.04e-08 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.08058e-12 rel. change during last iteration : -2.11331e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83979e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.06442e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.953e-08 (4.953e-06%) bb[1] = 1.43934 +/- 1.703e-08 (1.183e-06%) cc[1] = -3.14159 +/- 9.958e-08 (3.17e-06%) dd[1] = -1.06726e-08 +/- 3.535e-08 (331.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Thu Oct 9 12:00:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 1.8631792526e-01 0.00e+00 3.66e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 9 2.1332493542e-13 -2.31e-05 3.66e-07 -1.741520e-01 1.439336e+00 2.724614e+00 -1.381601e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.13325e-13 rel. change during last iteration : -2.31095e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.81903e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38611e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.174152 +/- 9.95e-09 (5.714e-06%) b[2] = 1.43934 +/- 2.182e-08 (1.516e-06%) c[2] = 2.72461 +/- 1.251e-07 (4.592e-06%) d[2] = -1.3816e-07 +/- 7.305e-09 (5.287%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.056 1.000 c[2] 0.029 -0.881 1.000 d[2] 0.144 -0.176 0.182 1.000 ******************************************************************************* Thu Oct 9 12:00:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 3.8738235503e-11 0.00e+00 3.19e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.5450267676e-12 -2.07e-01 3.19e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.54503e-12 rel. change during last iteration : -2.07164e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96675e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.80163e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.178e-08 (5.178e-06%) bb[2] = 1.43934 +/- 1.774e-08 (1.233e-06%) cc[2] = -3.1416 +/- 1.039e-07 (3.308e-06%) dd[2] = -1.06726e-08 +/- 3.693e-08 (346%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Thu Oct 9 12:00:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.0736782997e-01 0.00e+00 5.27e-01 -1.741520e-01 1.439336e+00 2.724614e+00 -1.381601e-07 9 3.0393444983e-13 0.00e+00 5.27e+01 -2.115009e-01 1.439336e+00 2.960119e+00 -1.457384e-07 After 9 iterations the fit converged. final sum of squares of residuals : 3.03934e-13 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.94576e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.82436e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.211501 +/- 1.201e-08 (5.68e-06%) b[3] = 1.43934 +/- 2.037e-08 (1.415e-06%) c[3] = 2.96012 +/- 1.186e-07 (4.008e-06%) d[3] = -1.45738e-07 +/- 8.674e-09 (5.952%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.030 1.000 c[3] -0.001 -0.874 1.000 d[3] 0.119 -0.144 0.169 1.000 ******************************************************************************* Thu Oct 9 12:00:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 3.7451619270e-11 0.00e+00 3.20e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 4.9590241140e-12 -2.25e-01 3.20e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.95902e-12 rel. change during last iteration : -2.24888e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80561e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.87147e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.9e-08 (4.9e-06%) bb[3] = 1.43934 +/- 1.673e-08 (1.162e-06%) cc[3] = -3.14159 +/- 9.819e-08 (3.126e-06%) dd[3] = -1.06726e-08 +/- 3.491e-08 (327.1%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Thu Oct 9 12:00:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 5.6060492636e-02 0.00e+00 6.63e-01 -2.115009e-01 1.439336e+00 2.960119e+00 -1.457384e-07 9 3.1073481028e-13 -8.11e-04 6.63e-10 -2.251603e-01 1.439336e+00 3.141593e+00 -1.368605e-07 After 9 iterations the fit converged. final sum of squares of residuals : 3.10735e-13 rel. change during last iteration : -8.11357e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.02303e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.9323e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.22516 +/- 1.228e-08 (5.452e-06%) b[4] = 1.43934 +/- 1.855e-08 (1.289e-06%) c[4] = 3.14159 +/- 1.091e-07 (3.471e-06%) d[4] = -1.3686e-07 +/- 8.737e-09 (6.384%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.008 1.000 c[4] -0.021 -0.868 1.000 d[4] 0.096 -0.115 0.155 1.000 ******************************************************************************* Thu Oct 9 12:00:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 1.8358062317e-10 0.00e+00 3.21e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.7366633433e-12 -9.16e-01 3.21e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73666e-12 rel. change during last iteration : -9.16036e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01758e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10581e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.274e-08 (5.274e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.055e-07 (3.358e-06%) dd[4] = -1.06726e-08 +/- 3.754e-08 (351.7%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Thu Oct 9 12:00:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 6.2017554658e-02 0.00e+00 7.24e-01 -2.251603e-01 1.439336e+00 3.141593e+00 -1.368605e-07 5 2.4594983593e-13 -9.43e-01 7.24e-06 -2.115008e-01 1.439336e+00 3.323067e+00 -1.368625e-07 After 5 iterations the fit converged. final sum of squares of residuals : 2.4595e-13 rel. change during last iteration : -9.43061e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.24817e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.90397e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.211501 +/- 1.103e-08 (5.217e-06%) b[5] = 1.43934 +/- 1.694e-08 (1.177e-06%) c[5] = 3.32307 +/- 1.001e-07 (3.012e-06%) d[5] = -1.36863e-07 +/- 7.749e-09 (5.662%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] 0.010 1.000 c[5] -0.034 -0.862 1.000 d[5] 0.070 -0.084 0.137 1.000 ******************************************************************************* Thu Oct 9 12:00:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 1.8511539088e-10 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.8942154726e-12 0.00e+00 3.22e+02 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.89422e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78722e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.7686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.875e-08 (4.875e-06%) bb[5] = 1.43934 +/- 1.653e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.736e-08 (3.099e-06%) dd[5] = -1.06726e-08 +/- 3.467e-08 (324.8%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Thu Oct 9 12:00:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.2133046241e-01 0.00e+00 6.96e-01 -2.115008e-01 1.439336e+00 3.323067e+00 -1.368625e-07 9 1.9021873491e-13 -6.35e-04 6.96e-10 -1.741519e-01 1.439336e+00 3.558573e+00 -1.412157e-07 After 9 iterations the fit converged. final sum of squares of residuals : 1.90219e-13 rel. change during last iteration : -6.34792e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.49486e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.01934e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.174152 +/- 9.799e-09 (5.627e-06%) b[6] = 1.43934 +/- 1.752e-08 (1.217e-06%) c[6] = 3.55857 +/- 1.035e-07 (2.908e-06%) d[6] = -1.41216e-07 +/- 6.797e-09 (4.813%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.025 1.000 c[6] -0.038 -0.855 1.000 d[6] 0.037 -0.044 0.112 1.000 ******************************************************************************* Thu Oct 9 12:00:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 3.7728907498e-11 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.6471858074e-12 -1.73e-01 3.22e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.64719e-12 rel. change during last iteration : -1.72968e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99396e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.96379e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.241e-08 (5.241e-06%) bb[6] = 1.43934 +/- 1.771e-08 (1.23e-06%) cc[6] = -3.14159 +/- 1.045e-07 (3.326e-06%) dd[6] = -1.06726e-08 +/- 3.723e-08 (348.8%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Thu Oct 9 12:00:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 1.9903601954e-01 0.00e+00 5.85e-01 -1.741519e-01 1.439336e+00 3.558573e+00 -1.412157e-07 6 9.5915737272e-14 -9.98e-01 5.85e-07 -1.261728e-01 1.439336e+00 3.960470e+00 -1.411989e-07 After 6 iterations the fit converged. final sum of squares of residuals : 9.59157e-14 rel. change during last iteration : -9.97845e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.90189e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.52247e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.126173 +/- 6.978e-09 (5.531e-06%) b[7] = 1.43934 +/- 1.703e-08 (1.183e-06%) c[7] = 3.96047 +/- 9.914e-08 (2.503e-06%) d[7] = -1.41199e-07 +/- 4.823e-09 (3.416%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.030 1.000 c[7] -0.018 -0.849 1.000 d[7] -0.020 0.025 0.058 1.000 ******************************************************************************* Thu Oct 9 12:00:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 3.5390677633e-11 0.00e+00 3.23e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.0487608087e-12 -1.56e-01 3.23e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.04876e-12 rel. change during last iteration : -1.55757e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83088e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01391e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.959e-08 (4.959e-06%) bb[7] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[7] = -3.14159 +/- 9.869e-08 (3.142e-06%) dd[7] = -1.06726e-08 +/- 3.519e-08 (329.7%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Thu Oct 9 12:00:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 2.4955371324e-01 0.00e+00 4.29e-01 -1.261728e-01 1.439336e+00 3.960470e+00 -1.411989e-07 9 5.0210436822e-14 -1.72e-04 4.29e-10 -9.974681e-02 1.439336e+00 4.712390e+00 -1.433899e-07 After 9 iterations the fit converged. final sum of squares of residuals : 5.02104e-14 rel. change during last iteration : -1.72295e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8231e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.96991e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.0997468 +/- 4.883e-09 (4.895e-06%) b[8] = 1.43934 +/- 1.76e-08 (1.222e-06%) c[8] = 4.71239 +/- 9.876e-08 (2.096e-06%) d[8] = -1.4339e-07 +/- 3.526e-09 (2.459%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.029 1.000 c[8] 0.051 -0.865 1.000 d[8] -0.119 0.146 -0.082 1.000 ******************************************************************************* Thu Oct 9 12:00:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 1.9126072607e-10 0.00e+00 3.24e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.7615521961e-12 -9.42e-01 3.24e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.76155e-12 rel. change during last iteration : -9.42198e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.02412e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14532e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.301e-08 (5.301e-06%) bb[8] = 1.43934 +/- 1.779e-08 (1.236e-06%) cc[8] = -3.14159 +/- 1.053e-07 (3.353e-06%) dd[8] = -1.06726e-08 +/- 3.759e-08 (352.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Thu Oct 9 12:00:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.4335928077e-01 0.00e+00 3.31e-01 -9.974681e-02 1.439336e+00 4.712390e+00 -1.433899e-07 9 9.5315878427e-14 0.00e+00 3.31e+01 -1.261730e-01 1.439336e+00 5.464310e+00 -1.360861e-07 After 9 iterations the fit converged. final sum of squares of residuals : 9.53159e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.88967e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.51295e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.126173 +/- 6.6e-09 (5.231e-06%) b[9] = 1.43934 +/- 2.095e-08 (1.455e-06%) c[9] = 5.46431 +/- 1.19e-07 (2.179e-06%) d[9] = -1.36086e-07 +/- 4.904e-09 (3.604%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.074 1.000 c[9] 0.059 -0.886 1.000 d[9] -0.161 0.198 -0.182 1.000 ******************************************************************************* Thu Oct 9 12:00:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 1.8223442001e-10 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.9193659252e-12 -8.79e-06 3.25e-02 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.91937e-12 rel. change during last iteration : -8.79006e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79437e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80852e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.902e-08 (4.902e-06%) bb[9] = 1.43934 +/- 1.64e-08 (1.139e-06%) cc[9] = -3.14159 +/- 9.724e-08 (3.095e-06%) dd[9] = -1.06726e-08 +/- 3.472e-08 (325.3%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Thu Oct 9 12:00:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.8428069904e-01 0.00e+00 4.28e-01 -1.261730e-01 1.439336e+00 5.464310e+00 -1.360861e-07 9 2.0327104573e-13 -8.06e-06 4.28e-01 -1.741520e-01 1.439336e+00 5.866207e+00 -1.470545e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.03271e-13 rel. change during last iteration : -8.06057e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.68025e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.22652e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.174152 +/- 9.756e-09 (5.602e-06%) b[10] = 1.43934 +/- 2.085e-08 (1.449e-06%) c[10] = 5.86621 +/- 1.217e-07 (2.075e-06%) d[10] = -1.47055e-07 +/- 7.115e-09 (4.838%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.042 1.000 c[10] 0.013 -0.881 1.000 d[10] -0.134 0.163 -0.177 1.000 ******************************************************************************* Thu Oct 9 12:00:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 3.7950405191e-11 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.8349885918e-12 -1.71e-01 3.25e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.83499e-12 rel. change during last iteration : -1.70959e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.04333e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26189e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.342e-08 (5.342e-06%) bb[10] = 1.43934 +/- 1.781e-08 (1.238e-06%) cc[10] = -3.1416 +/- 1.058e-07 (3.368e-06%) dd[10] = -1.06726e-08 +/- 3.781e-08 (354.2%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Thu Oct 9 12:00:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.0706703176e-01 0.00e+00 6.24e-01 -1.741520e-01 1.439336e+00 5.866207e+00 -1.470545e-07 9 2.3022893259e-13 -3.55e-03 6.24e-10 -2.115009e-01 1.439336e+00 6.101713e+00 -1.385859e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.30229e-13 rel. change during last iteration : -3.55368e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.04519e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.65443e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.211501 +/- 1.052e-08 (4.973e-06%) b[11] = 1.43934 +/- 1.731e-08 (1.203e-06%) c[11] = 6.10171 +/- 1.025e-07 (1.679e-06%) d[11] = -1.38586e-07 +/- 7.533e-09 (5.436%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.015 1.000 c[11] -0.016 -0.874 1.000 d[11] -0.106 0.129 -0.161 1.000 ******************************************************************************* Thu Oct 9 12:00:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 3.7002624721e-11 0.00e+00 3.26e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 5.1807304984e-12 -1.71e-01 3.26e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.18073e-12 rel. change during last iteration : -1.7107e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86764e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22338e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.037e-08 (5.037e-06%) bb[11] = 1.43934 +/- 1.674e-08 (1.163e-06%) cc[11] = -3.14159 +/- 9.96e-08 (3.17e-06%) dd[11] = -1.06726e-08 +/- 3.562e-08 (333.7%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Thu Oct 9 12:00:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.6766154301e-02 0.00e+00 7.85e-01 -2.115009e-01 1.439336e+00 6.101713e+00 -1.385859e-07 5 3.3148842914e-13 -6.26e-02 7.85e-06 -2.251603e-01 1.439336e+00 6.283186e+00 -1.385858e-07 After 5 iterations the fit converged. final sum of squares of residuals : 3.31488e-13 rel. change during last iteration : -6.25908e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.25377e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.26172e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.22516 +/- 1.275e-08 (5.665e-06%) b[12] = 1.43934 +/- 1.876e-08 (1.303e-06%) c[12] = 6.28319 +/- 1.118e-07 (1.779e-06%) d[12] = -1.38586e-07 +/- 9.007e-09 (6.499%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.004 1.000 c[12] -0.032 -0.868 1.000 d[12] -0.081 0.098 -0.145 1.000 ******************************************************************************* Thu Oct 9 12:00:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 1.9036107710e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 4 5.6969570226e-12 -1.99e-05 3.27e-02 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.69696e-12 rel. change during last iteration : -1.99291e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.00712e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.04279e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.286e-08 (5.286e-06%) bb[12] = 1.43934 +/- 1.751e-08 (1.217e-06%) cc[12] = -3.14159 +/- 1.044e-07 (3.322e-06%) dd[12] = -1.06726e-08 +/- 3.734e-08 (349.9%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Thu Oct 9 12:00:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 6.2392492540e-02 0.00e+00 8.58e-01 -2.251603e-01 1.439336e+00 6.283186e+00 -1.385858e-07 5 2.6144055618e-13 -4.29e-01 8.58e-06 -2.115008e-01 1.439336e+00 6.464660e+00 -1.385870e-07 After 5 iterations the fit converged. final sum of squares of residuals : 2.61441e-13 rel. change during last iteration : -4.28585e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.44193e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.14985e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.211501 +/- 1.143e-08 (5.405e-06%) b[13] = 1.43934 +/- 1.719e-08 (1.194e-06%) c[13] = 6.46466 +/- 1.027e-07 (1.588e-06%) d[13] = -1.38587e-07 +/- 7.978e-09 (5.757%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.020 1.000 c[13] -0.040 -0.862 1.000 d[13] -0.056 0.067 -0.126 1.000 ******************************************************************************* Thu Oct 9 12:00:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 1.7986552739e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 5.2003047908e-12 -4.04e-05 3.27e-04 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.2003e-12 rel. change during last iteration : -4.04327e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87306e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.25445e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.054e-08 (5.054e-06%) bb[13] = 1.43934 +/- 1.669e-08 (1.16e-06%) cc[13] = -3.14159 +/- 9.961e-08 (3.171e-06%) dd[13] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Thu Oct 9 12:00:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.2025439016e-01 0.00e+00 8.24e-01 -2.115008e-01 1.439336e+00 6.464660e+00 -1.385870e-07 9 2.3163068563e-13 -4.31e-03 8.24e-10 -1.741519e-01 1.439336e+00 6.700166e+00 -1.454451e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.31631e-13 rel. change during last iteration : -4.30706e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.06356e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.67668e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.174152 +/- 1.084e-08 (6.225e-06%) b[14] = 1.43934 +/- 1.918e-08 (1.332e-06%) c[14] = 6.70017 +/- 1.142e-07 (1.704e-06%) d[14] = -1.45445e-07 +/- 7.495e-09 (5.153%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] 0.031 1.000 c[14] -0.038 -0.856 1.000 d[14] -0.022 0.026 -0.099 1.000 ******************************************************************************* Thu Oct 9 12:00:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 3.7733042656e-11 0.00e+00 3.28e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.8046691470e-12 -1.63e-01 3.28e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.80467e-12 rel. change during last iteration : -1.62868e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03542e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.21376e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.343e-08 (5.343e-06%) bb[14] = 1.43934 +/- 1.759e-08 (1.222e-06%) cc[14] = -3.14159 +/- 1.051e-07 (3.347e-06%) dd[14] = -1.06726e-08 +/- 3.768e-08 (353%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Thu Oct 9 12:00:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 1.9629255085e-01 0.00e+00 6.92e-01 -1.741519e-01 1.439336e+00 6.700166e+00 -1.454451e-07 9 1.0088730466e-13 -2.33e-03 6.92e-10 -1.261729e-01 1.439336e+00 7.102064e+00 -1.388901e-07 After 9 iterations the fit converged. final sum of squares of residuals : 1.00887e-13 rel. change during last iteration : -2.32822e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.00173e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.60139e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.126173 +/- 7.14e-09 (5.659e-06%) b[15] = 1.43934 +/- 1.76e-08 (1.223e-06%) c[15] = 7.10206 +/- 1.03e-07 (1.45e-06%) d[15] = -1.3889e-07 +/- 4.95e-09 (3.564%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] 0.029 1.000 c[15] -0.012 -0.853 1.000 d[15] 0.035 -0.042 -0.040 1.000 ******************************************************************************* Thu Oct 9 12:00:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 3.4821292998e-11 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.2039775772e-12 -1.49e-01 3.29e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.20398e-12 rel. change during last iteration : -1.49158e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.26028e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.063e-08 (5.063e-06%) bb[15] = 1.43934 +/- 1.662e-08 (1.154e-06%) cc[15] = -3.14159 +/- 9.947e-08 (3.166e-06%) dd[15] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Thu Oct 9 12:00:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.4595953822e-01 0.00e+00 5.08e-01 -1.261729e-01 1.439336e+00 7.102064e+00 -1.388901e-07 9 4.9476265334e-14 -4.23e-04 5.08e-10 -9.974686e-02 1.439336e+00 7.853983e+00 -1.421416e-07 After 9 iterations the fit converged. final sum of squares of residuals : 4.94763e-14 rel. change during last iteration : -4.23094e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80239e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.85338e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0997469 +/- 4.82e-09 (4.832e-06%) b[16] = 1.43934 +/- 1.788e-08 (1.242e-06%) c[16] = 7.85398 +/- 1.012e-07 (1.289e-06%) d[16] = -1.42142e-07 +/- 3.509e-09 (2.468%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.038 1.000 c[16] 0.056 -0.872 1.000 d[16] 0.130 -0.161 0.103 1.000 ******************************************************************************* Thu Oct 9 12:00:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 1.9137284223e-10 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 4 5.8140909976e-12 -5.28e-05 3.29e-04 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.81409e-12 rel. change during last iteration : -5.27909e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03788e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.22872e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.355e-08 (5.355e-06%) bb[16] = 1.43934 +/- 1.752e-08 (1.217e-06%) cc[16] = -3.14159 +/- 1.051e-07 (3.344e-06%) dd[16] = -1.06726e-08 +/- 3.769e-08 (353.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sat Oct 11 03:49:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.0435576992e+00 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 19 1.1095257443e-13 -1.87e-04 2.23e-10 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 After 19 iterations the fit converged. final sum of squares of residuals : 1.10953e-13 rel. change during last iteration : -1.8684e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.19661e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.76115e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.126173 +/- 7.119e-09 (5.642e-06%) b[1] = 1.43934 +/- 2.268e-08 (1.575e-06%) c[1] = 2.32272 +/- 1.267e-07 (5.453e-06%) d[1] = -1.41448e-07 +/- 5.293e-09 (3.742%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.069 -0.883 1.000 d[1] 0.163 -0.200 0.176 1.000 ******************************************************************************* Sat Oct 11 03:49:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1479213681e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0805823849e-12 -2.11e-04 3.04e-08 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.08058e-12 rel. change during last iteration : -2.11331e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83979e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.06442e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.953e-08 (4.953e-06%) bb[1] = 1.43934 +/- 1.703e-08 (1.183e-06%) cc[1] = -3.14159 +/- 9.958e-08 (3.17e-06%) dd[1] = -1.06726e-08 +/- 3.535e-08 (331.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sat Oct 11 03:49:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 1.8631792526e-01 0.00e+00 3.66e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 9 2.1332493542e-13 -2.31e-05 3.66e-07 -1.741520e-01 1.439336e+00 2.724614e+00 -1.381601e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.13325e-13 rel. change during last iteration : -2.31095e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.81903e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38611e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.174152 +/- 9.95e-09 (5.714e-06%) b[2] = 1.43934 +/- 2.182e-08 (1.516e-06%) c[2] = 2.72461 +/- 1.251e-07 (4.592e-06%) d[2] = -1.3816e-07 +/- 7.305e-09 (5.287%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.056 1.000 c[2] 0.029 -0.881 1.000 d[2] 0.144 -0.176 0.182 1.000 ******************************************************************************* Sat Oct 11 03:49:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 3.8738235503e-11 0.00e+00 3.19e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.5450267676e-12 -2.07e-01 3.19e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.54503e-12 rel. change during last iteration : -2.07164e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96675e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.80163e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.178e-08 (5.178e-06%) bb[2] = 1.43934 +/- 1.774e-08 (1.233e-06%) cc[2] = -3.1416 +/- 1.039e-07 (3.308e-06%) dd[2] = -1.06726e-08 +/- 3.693e-08 (346%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sat Oct 11 03:49:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.0736782997e-01 0.00e+00 5.27e-01 -1.741520e-01 1.439336e+00 2.724614e+00 -1.381601e-07 9 3.0393444983e-13 0.00e+00 5.27e+01 -2.115009e-01 1.439336e+00 2.960119e+00 -1.457384e-07 After 9 iterations the fit converged. final sum of squares of residuals : 3.03934e-13 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.94576e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.82436e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.211501 +/- 1.201e-08 (5.68e-06%) b[3] = 1.43934 +/- 2.037e-08 (1.415e-06%) c[3] = 2.96012 +/- 1.186e-07 (4.008e-06%) d[3] = -1.45738e-07 +/- 8.674e-09 (5.952%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.030 1.000 c[3] -0.001 -0.874 1.000 d[3] 0.119 -0.144 0.169 1.000 ******************************************************************************* Sat Oct 11 03:49:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 3.7451619270e-11 0.00e+00 3.20e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 4.9590241140e-12 -2.25e-01 3.20e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.95902e-12 rel. change during last iteration : -2.24888e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80561e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.87147e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.9e-08 (4.9e-06%) bb[3] = 1.43934 +/- 1.673e-08 (1.162e-06%) cc[3] = -3.14159 +/- 9.819e-08 (3.126e-06%) dd[3] = -1.06726e-08 +/- 3.491e-08 (327.1%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sat Oct 11 03:49:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 5.6060492636e-02 0.00e+00 6.63e-01 -2.115009e-01 1.439336e+00 2.960119e+00 -1.457384e-07 9 3.1073481028e-13 -8.11e-04 6.63e-10 -2.251603e-01 1.439336e+00 3.141593e+00 -1.368605e-07 After 9 iterations the fit converged. final sum of squares of residuals : 3.10735e-13 rel. change during last iteration : -8.11357e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.02303e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.9323e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.22516 +/- 1.228e-08 (5.452e-06%) b[4] = 1.43934 +/- 1.855e-08 (1.289e-06%) c[4] = 3.14159 +/- 1.091e-07 (3.471e-06%) d[4] = -1.3686e-07 +/- 8.737e-09 (6.384%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.008 1.000 c[4] -0.021 -0.868 1.000 d[4] 0.096 -0.115 0.155 1.000 ******************************************************************************* Sat Oct 11 03:49:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 1.8358062317e-10 0.00e+00 3.21e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.7366633433e-12 -9.16e-01 3.21e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73666e-12 rel. change during last iteration : -9.16036e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01758e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10581e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.274e-08 (5.274e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.055e-07 (3.358e-06%) dd[4] = -1.06726e-08 +/- 3.754e-08 (351.7%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sat Oct 11 03:49:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 6.2017554658e-02 0.00e+00 7.24e-01 -2.251603e-01 1.439336e+00 3.141593e+00 -1.368605e-07 5 2.4594983593e-13 -9.43e-01 7.24e-06 -2.115008e-01 1.439336e+00 3.323067e+00 -1.368625e-07 After 5 iterations the fit converged. final sum of squares of residuals : 2.4595e-13 rel. change during last iteration : -9.43061e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.24817e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.90397e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.211501 +/- 1.103e-08 (5.217e-06%) b[5] = 1.43934 +/- 1.694e-08 (1.177e-06%) c[5] = 3.32307 +/- 1.001e-07 (3.012e-06%) d[5] = -1.36863e-07 +/- 7.749e-09 (5.662%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] 0.010 1.000 c[5] -0.034 -0.862 1.000 d[5] 0.070 -0.084 0.137 1.000 ******************************************************************************* Sat Oct 11 03:49:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 1.8511539088e-10 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.8942154726e-12 0.00e+00 3.22e+02 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.89422e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78722e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.7686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.875e-08 (4.875e-06%) bb[5] = 1.43934 +/- 1.653e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.736e-08 (3.099e-06%) dd[5] = -1.06726e-08 +/- 3.467e-08 (324.8%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sat Oct 11 03:49:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.2133046241e-01 0.00e+00 6.96e-01 -2.115008e-01 1.439336e+00 3.323067e+00 -1.368625e-07 9 1.9021873491e-13 -6.35e-04 6.96e-10 -1.741519e-01 1.439336e+00 3.558573e+00 -1.412157e-07 After 9 iterations the fit converged. final sum of squares of residuals : 1.90219e-13 rel. change during last iteration : -6.34792e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.49486e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.01934e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.174152 +/- 9.799e-09 (5.627e-06%) b[6] = 1.43934 +/- 1.752e-08 (1.217e-06%) c[6] = 3.55857 +/- 1.035e-07 (2.908e-06%) d[6] = -1.41216e-07 +/- 6.797e-09 (4.813%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.025 1.000 c[6] -0.038 -0.855 1.000 d[6] 0.037 -0.044 0.112 1.000 ******************************************************************************* Sat Oct 11 03:49:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 3.7728907498e-11 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.6471858074e-12 -1.73e-01 3.22e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.64719e-12 rel. change during last iteration : -1.72968e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99396e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.96379e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.241e-08 (5.241e-06%) bb[6] = 1.43934 +/- 1.771e-08 (1.23e-06%) cc[6] = -3.14159 +/- 1.045e-07 (3.326e-06%) dd[6] = -1.06726e-08 +/- 3.723e-08 (348.8%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sat Oct 11 03:49:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 1.9903601954e-01 0.00e+00 5.85e-01 -1.741519e-01 1.439336e+00 3.558573e+00 -1.412157e-07 6 9.5915737272e-14 -9.98e-01 5.85e-07 -1.261728e-01 1.439336e+00 3.960470e+00 -1.411989e-07 After 6 iterations the fit converged. final sum of squares of residuals : 9.59157e-14 rel. change during last iteration : -9.97845e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.90189e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.52247e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.126173 +/- 6.978e-09 (5.531e-06%) b[7] = 1.43934 +/- 1.703e-08 (1.183e-06%) c[7] = 3.96047 +/- 9.914e-08 (2.503e-06%) d[7] = -1.41199e-07 +/- 4.823e-09 (3.416%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.030 1.000 c[7] -0.018 -0.849 1.000 d[7] -0.020 0.025 0.058 1.000 ******************************************************************************* Sat Oct 11 03:49:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 3.5390677633e-11 0.00e+00 3.23e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.0487608087e-12 -1.56e-01 3.23e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.04876e-12 rel. change during last iteration : -1.55757e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83088e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01391e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.959e-08 (4.959e-06%) bb[7] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[7] = -3.14159 +/- 9.869e-08 (3.142e-06%) dd[7] = -1.06726e-08 +/- 3.519e-08 (329.7%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sat Oct 11 03:49:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 2.4955371324e-01 0.00e+00 4.29e-01 -1.261728e-01 1.439336e+00 3.960470e+00 -1.411989e-07 9 5.0210436822e-14 -1.72e-04 4.29e-10 -9.974681e-02 1.439336e+00 4.712390e+00 -1.433899e-07 After 9 iterations the fit converged. final sum of squares of residuals : 5.02104e-14 rel. change during last iteration : -1.72295e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8231e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.96991e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.0997468 +/- 4.883e-09 (4.895e-06%) b[8] = 1.43934 +/- 1.76e-08 (1.222e-06%) c[8] = 4.71239 +/- 9.876e-08 (2.096e-06%) d[8] = -1.4339e-07 +/- 3.526e-09 (2.459%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.029 1.000 c[8] 0.051 -0.865 1.000 d[8] -0.119 0.146 -0.082 1.000 ******************************************************************************* Sat Oct 11 03:49:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 1.9126072607e-10 0.00e+00 3.24e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.7615521961e-12 -9.42e-01 3.24e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.76155e-12 rel. change during last iteration : -9.42198e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.02412e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14532e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.301e-08 (5.301e-06%) bb[8] = 1.43934 +/- 1.779e-08 (1.236e-06%) cc[8] = -3.14159 +/- 1.053e-07 (3.353e-06%) dd[8] = -1.06726e-08 +/- 3.759e-08 (352.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sat Oct 11 03:49:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.4335928077e-01 0.00e+00 3.31e-01 -9.974681e-02 1.439336e+00 4.712390e+00 -1.433899e-07 9 9.5315878427e-14 0.00e+00 3.31e+01 -1.261730e-01 1.439336e+00 5.464310e+00 -1.360861e-07 After 9 iterations the fit converged. final sum of squares of residuals : 9.53159e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.88967e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.51295e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.126173 +/- 6.6e-09 (5.231e-06%) b[9] = 1.43934 +/- 2.095e-08 (1.455e-06%) c[9] = 5.46431 +/- 1.19e-07 (2.179e-06%) d[9] = -1.36086e-07 +/- 4.904e-09 (3.604%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.074 1.000 c[9] 0.059 -0.886 1.000 d[9] -0.161 0.198 -0.182 1.000 ******************************************************************************* Sat Oct 11 03:49:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 1.8223442001e-10 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.9193659252e-12 -8.79e-06 3.25e-02 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.91937e-12 rel. change during last iteration : -8.79006e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79437e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80852e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.902e-08 (4.902e-06%) bb[9] = 1.43934 +/- 1.64e-08 (1.139e-06%) cc[9] = -3.14159 +/- 9.724e-08 (3.095e-06%) dd[9] = -1.06726e-08 +/- 3.472e-08 (325.3%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sat Oct 11 03:49:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.8428069904e-01 0.00e+00 4.28e-01 -1.261730e-01 1.439336e+00 5.464310e+00 -1.360861e-07 9 2.0327104573e-13 -8.06e-06 4.28e-01 -1.741520e-01 1.439336e+00 5.866207e+00 -1.470545e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.03271e-13 rel. change during last iteration : -8.06057e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.68025e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.22652e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.174152 +/- 9.756e-09 (5.602e-06%) b[10] = 1.43934 +/- 2.085e-08 (1.449e-06%) c[10] = 5.86621 +/- 1.217e-07 (2.075e-06%) d[10] = -1.47055e-07 +/- 7.115e-09 (4.838%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.042 1.000 c[10] 0.013 -0.881 1.000 d[10] -0.134 0.163 -0.177 1.000 ******************************************************************************* Sat Oct 11 03:49:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 3.7950405191e-11 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.8349885918e-12 -1.71e-01 3.25e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.83499e-12 rel. change during last iteration : -1.70959e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.04333e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26189e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.342e-08 (5.342e-06%) bb[10] = 1.43934 +/- 1.781e-08 (1.238e-06%) cc[10] = -3.1416 +/- 1.058e-07 (3.368e-06%) dd[10] = -1.06726e-08 +/- 3.781e-08 (354.2%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sat Oct 11 03:49:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.0706703176e-01 0.00e+00 6.24e-01 -1.741520e-01 1.439336e+00 5.866207e+00 -1.470545e-07 9 2.3022893259e-13 -3.55e-03 6.24e-10 -2.115009e-01 1.439336e+00 6.101713e+00 -1.385859e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.30229e-13 rel. change during last iteration : -3.55368e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.04519e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.65443e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.211501 +/- 1.052e-08 (4.973e-06%) b[11] = 1.43934 +/- 1.731e-08 (1.203e-06%) c[11] = 6.10171 +/- 1.025e-07 (1.679e-06%) d[11] = -1.38586e-07 +/- 7.533e-09 (5.436%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.015 1.000 c[11] -0.016 -0.874 1.000 d[11] -0.106 0.129 -0.161 1.000 ******************************************************************************* Sat Oct 11 03:49:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 3.7002624721e-11 0.00e+00 3.26e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 5.1807304984e-12 -1.71e-01 3.26e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.18073e-12 rel. change during last iteration : -1.7107e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86764e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22338e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.037e-08 (5.037e-06%) bb[11] = 1.43934 +/- 1.674e-08 (1.163e-06%) cc[11] = -3.14159 +/- 9.96e-08 (3.17e-06%) dd[11] = -1.06726e-08 +/- 3.562e-08 (333.7%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sat Oct 11 03:49:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.6766154301e-02 0.00e+00 7.85e-01 -2.115009e-01 1.439336e+00 6.101713e+00 -1.385859e-07 5 3.3148842914e-13 -6.26e-02 7.85e-06 -2.251603e-01 1.439336e+00 6.283186e+00 -1.385858e-07 After 5 iterations the fit converged. final sum of squares of residuals : 3.31488e-13 rel. change during last iteration : -6.25908e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.25377e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.26172e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.22516 +/- 1.275e-08 (5.665e-06%) b[12] = 1.43934 +/- 1.876e-08 (1.303e-06%) c[12] = 6.28319 +/- 1.118e-07 (1.779e-06%) d[12] = -1.38586e-07 +/- 9.007e-09 (6.499%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.004 1.000 c[12] -0.032 -0.868 1.000 d[12] -0.081 0.098 -0.145 1.000 ******************************************************************************* Sat Oct 11 03:49:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 1.9036107710e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 4 5.6969570226e-12 -1.99e-05 3.27e-02 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.69696e-12 rel. change during last iteration : -1.99291e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.00712e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.04279e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.286e-08 (5.286e-06%) bb[12] = 1.43934 +/- 1.751e-08 (1.217e-06%) cc[12] = -3.14159 +/- 1.044e-07 (3.322e-06%) dd[12] = -1.06726e-08 +/- 3.734e-08 (349.9%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sat Oct 11 03:49:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 6.2392492540e-02 0.00e+00 8.58e-01 -2.251603e-01 1.439336e+00 6.283186e+00 -1.385858e-07 5 2.6144055618e-13 -4.29e-01 8.58e-06 -2.115008e-01 1.439336e+00 6.464660e+00 -1.385870e-07 After 5 iterations the fit converged. final sum of squares of residuals : 2.61441e-13 rel. change during last iteration : -4.28585e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.44193e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.14985e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.211501 +/- 1.143e-08 (5.405e-06%) b[13] = 1.43934 +/- 1.719e-08 (1.194e-06%) c[13] = 6.46466 +/- 1.027e-07 (1.588e-06%) d[13] = -1.38587e-07 +/- 7.978e-09 (5.757%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.020 1.000 c[13] -0.040 -0.862 1.000 d[13] -0.056 0.067 -0.126 1.000 ******************************************************************************* Sat Oct 11 03:49:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 1.7986552739e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 5.2003047908e-12 -4.04e-05 3.27e-04 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.2003e-12 rel. change during last iteration : -4.04327e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87306e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.25445e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.054e-08 (5.054e-06%) bb[13] = 1.43934 +/- 1.669e-08 (1.16e-06%) cc[13] = -3.14159 +/- 9.961e-08 (3.171e-06%) dd[13] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sat Oct 11 03:49:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.2025439016e-01 0.00e+00 8.24e-01 -2.115008e-01 1.439336e+00 6.464660e+00 -1.385870e-07 9 2.3163068563e-13 -4.31e-03 8.24e-10 -1.741519e-01 1.439336e+00 6.700166e+00 -1.454451e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.31631e-13 rel. change during last iteration : -4.30706e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.06356e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.67668e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.174152 +/- 1.084e-08 (6.225e-06%) b[14] = 1.43934 +/- 1.918e-08 (1.332e-06%) c[14] = 6.70017 +/- 1.142e-07 (1.704e-06%) d[14] = -1.45445e-07 +/- 7.495e-09 (5.153%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] 0.031 1.000 c[14] -0.038 -0.856 1.000 d[14] -0.022 0.026 -0.099 1.000 ******************************************************************************* Sat Oct 11 03:49:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 3.7733042656e-11 0.00e+00 3.28e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.8046691470e-12 -1.63e-01 3.28e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.80467e-12 rel. change during last iteration : -1.62868e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03542e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.21376e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.343e-08 (5.343e-06%) bb[14] = 1.43934 +/- 1.759e-08 (1.222e-06%) cc[14] = -3.14159 +/- 1.051e-07 (3.347e-06%) dd[14] = -1.06726e-08 +/- 3.768e-08 (353%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sat Oct 11 03:49:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 1.9629255085e-01 0.00e+00 6.92e-01 -1.741519e-01 1.439336e+00 6.700166e+00 -1.454451e-07 9 1.0088730466e-13 -2.33e-03 6.92e-10 -1.261729e-01 1.439336e+00 7.102064e+00 -1.388901e-07 After 9 iterations the fit converged. final sum of squares of residuals : 1.00887e-13 rel. change during last iteration : -2.32822e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.00173e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.60139e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.126173 +/- 7.14e-09 (5.659e-06%) b[15] = 1.43934 +/- 1.76e-08 (1.223e-06%) c[15] = 7.10206 +/- 1.03e-07 (1.45e-06%) d[15] = -1.3889e-07 +/- 4.95e-09 (3.564%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] 0.029 1.000 c[15] -0.012 -0.853 1.000 d[15] 0.035 -0.042 -0.040 1.000 ******************************************************************************* Sat Oct 11 03:49:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 3.4821292998e-11 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.2039775772e-12 -1.49e-01 3.29e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.20398e-12 rel. change during last iteration : -1.49158e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.26028e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.063e-08 (5.063e-06%) bb[15] = 1.43934 +/- 1.662e-08 (1.154e-06%) cc[15] = -3.14159 +/- 9.947e-08 (3.166e-06%) dd[15] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sat Oct 11 03:49:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.4595953822e-01 0.00e+00 5.08e-01 -1.261729e-01 1.439336e+00 7.102064e+00 -1.388901e-07 9 4.9476265334e-14 -4.23e-04 5.08e-10 -9.974686e-02 1.439336e+00 7.853983e+00 -1.421416e-07 After 9 iterations the fit converged. final sum of squares of residuals : 4.94763e-14 rel. change during last iteration : -4.23094e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80239e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.85338e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0997469 +/- 4.82e-09 (4.832e-06%) b[16] = 1.43934 +/- 1.788e-08 (1.242e-06%) c[16] = 7.85398 +/- 1.012e-07 (1.289e-06%) d[16] = -1.42142e-07 +/- 3.509e-09 (2.468%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.038 1.000 c[16] 0.056 -0.872 1.000 d[16] 0.130 -0.161 0.103 1.000 ******************************************************************************* Sat Oct 11 03:49:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 1.9137284223e-10 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 4 5.8140909976e-12 -5.28e-05 3.29e-04 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.81409e-12 rel. change during last iteration : -5.27909e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03788e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.22872e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.355e-08 (5.355e-06%) bb[16] = 1.43934 +/- 1.752e-08 (1.217e-06%) cc[16] = -3.14159 +/- 1.051e-07 (3.344e-06%) dd[16] = -1.06726e-08 +/- 3.769e-08 (353.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sat Oct 11 03:52:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e-02 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 6 2.0449954360e-14 -4.70e-01 2.23e-07 -3.848794e-02 1.439343e+00 -1.488542e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-14 rel. change during last iteration : -4.70208e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.0384879 +/- 3.119e-09 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.00342282 +/- 2.25e-09 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Sat Oct 11 03:52:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sat Oct 11 03:52:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e-02 0.00e+00 1.11e-01 -3.848794e-02 1.439343e+00 -1.488542e+00 3.422820e-03 6 3.5986365059e-14 0.00e+00 1.11e+02 -7.091721e-02 1.439343e+00 -1.536664e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.0709172 +/- 4.145e-09 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.00342282 +/- 2.983e-09 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Sat Oct 11 03:52:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952588166e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4911163761e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.85919e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sat Oct 11 03:52:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e-02 0.00e+00 2.07e-01 -7.091721e-02 1.439343e+00 -1.536664e+00 3.422820e-03 6 5.6415218288e-14 0.00e+00 2.07e+01 -9.261305e-02 1.439343e+00 -1.556658e+00 3.422819e-03 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.0926131 +/- 5.192e-09 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.00342282 +/- 3.734e-09 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sat Oct 11 03:52:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738565803e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.95e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.94819e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sat Oct 11 03:52:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-03 0.00e+00 2.70e-01 -9.261305e-02 1.439343e+00 -1.556658e+00 3.422819e-03 5 7.0278685636e-14 -2.01e-01 2.70e-06 -1.002336e-01 1.439343e+00 -1.570804e+00 3.422817e-03 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-14 rel. change during last iteration : -2.0112e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.100234 +/- 5.795e-09 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.00342282 +/- 4.167e-09 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sat Oct 11 03:52:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.30e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.29972e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sat Oct 11 03:52:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-03 0.00e+00 2.93e-01 -1.002336e-01 1.439343e+00 -1.570804e+00 3.422817e-03 5 5.1414008746e-14 -9.57e-02 2.93e-06 -9.261302e-02 1.439343e+00 -1.584952e+00 3.422819e-03 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-14 rel. change during last iteration : -9.56595e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.092613 +/- 4.957e-09 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.00342282 +/- 3.564e-09 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sat Oct 11 03:52:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sat Oct 11 03:52:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e-02 0.00e+00 2.71e-01 -9.261302e-02 1.439343e+00 -1.584952e+00 3.422819e-03 6 3.8711906299e-14 -4.45e-04 2.71e-07 -7.091716e-02 1.439343e+00 -1.604951e+00 3.422819e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-14 rel. change during last iteration : -4.44594e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.0709172 +/- 4.303e-09 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.00342282 +/- 3.092e-09 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Sat Oct 11 03:52:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sat Oct 11 03:52:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e-02 0.00e+00 2.08e-01 -7.091716e-02 1.439343e+00 -1.604951e+00 3.422819e-03 6 1.7082827096e-14 -1.83e-03 2.08e-07 -3.848793e-02 1.439343e+00 -1.653093e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-14 rel. change during last iteration : -1.83307e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.0384879 +/- 2.863e-09 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.00342282 +/- 2.053e-09 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Sat Oct 11 03:52:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sat Oct 11 03:52:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e-02 0.00e+00 1.14e-01 -3.848793e-02 1.439343e+00 -1.653093e+00 3.422820e-03 10 1.8605598430e-14 -4.22e-02 1.14e-02 -3.424517e-03 1.439341e+00 -3.141608e+00 3.422823e-03 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-14 rel. change during last iteration : -4.22224e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.00342452 +/- 3.012e-09 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.00342282 +/- 2.136e-09 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Sat Oct 11 03:52:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sat Oct 11 03:52:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e-02 0.00e+00 1.12e-02 -3.424517e-03 1.439341e+00 -3.141608e+00 3.422823e-03 36 1.8595433024e-14 -5.55e-04 1.12e-10 -3.848807e-02 1.439343e+00 -4.630092e+00 3.422819e-03 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-14 rel. change during last iteration : -5.54614e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.0384881 +/- 2.959e-09 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.00342282 +/- 2.15e-09 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Sat Oct 11 03:52:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sat Oct 11 03:52:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e-02 0.00e+00 1.26e-01 -3.848807e-02 1.439343e+00 -4.630092e+00 3.422819e-03 6 3.9636781235e-14 -6.65e-03 1.26e-07 -7.091726e-02 1.439343e+00 -4.678234e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-14 rel. change during last iteration : -6.65124e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.0709173 +/- 4.327e-09 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.00342282 +/- 3.137e-09 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Sat Oct 11 03:52:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sat Oct 11 03:52:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e-02 0.00e+00 2.34e-01 -7.091726e-02 1.439343e+00 -4.678234e+00 3.422820e-03 6 5.5511337456e-14 -6.02e-04 2.34e-07 -9.261306e-02 1.439343e+00 -4.698232e+00 3.422819e-03 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-14 rel. change during last iteration : -6.01925e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.0926131 +/- 5.123e-09 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.00342282 +/- 3.712e-09 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Sat Oct 11 03:52:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020432702e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1568198796e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57912e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sat Oct 11 03:52:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-03 0.00e+00 3.06e-01 -9.261306e-02 1.439343e+00 -4.698232e+00 3.422819e-03 5 6.6311705154e-14 -1.12e-01 3.06e-06 -1.002336e-01 1.439343e+00 -4.712380e+00 3.422821e-03 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-14 rel. change during last iteration : -1.11886e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.100234 +/- 5.599e-09 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.00342282 +/- 4.057e-09 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Sat Oct 11 03:52:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673734e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994693e-12 -3.67e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.66512e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sat Oct 11 03:52:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-03 0.00e+00 3.32e-01 -1.002336e-01 1.439343e+00 -4.712380e+00 3.422821e-03 5 5.9138008970e-14 -7.73e-02 3.32e-06 -9.261295e-02 1.439343e+00 -4.726527e+00 3.422821e-03 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-14 rel. change during last iteration : -7.73475e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.092613 +/- 5.288e-09 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.00342282 +/- 3.831e-09 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Sat Oct 11 03:52:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417888e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6447883867e-12 -5.73e-06 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.7253e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57912e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sat Oct 11 03:52:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e-02 0.00e+00 3.07e-01 -9.261295e-02 1.439343e+00 -4.726527e+00 3.422821e-03 5 3.5551026978e-14 -3.14e-02 3.07e-06 -7.091706e-02 1.439343e+00 -4.746521e+00 3.422820e-03 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-14 rel. change during last iteration : -3.13892e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.0709171 +/- 4.101e-09 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.00342282 +/- 2.97e-09 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Sat Oct 11 03:52:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962740919e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757507e-12 -4.79e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.79117e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sat Oct 11 03:52:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e-02 0.00e+00 2.36e-01 -7.091706e-02 1.439343e+00 -4.746521e+00 3.422820e-03 6 1.9226820809e-14 -6.50e-04 2.36e-07 -3.848774e-02 1.439343e+00 -4.794643e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-14 rel. change during last iteration : -6.49675e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.0384877 +/- 3.021e-09 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.00342282 +/- 2.183e-09 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Sat Oct 11 03:52:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243401e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.59e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.59135e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sat Oct 11 03:52:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e-02 0.00e+00 1.29e-01 -3.848774e-02 1.439343e+00 -4.794643e+00 3.422820e-03 10 1.8026239718e-14 -9.94e-02 1.29e-09 -3.422788e-03 1.439344e+00 -6.283223e+00 3.422823e-03 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-14 rel. change during last iteration : -9.93929e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.00342279 +/- 2.981e-09 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.00342282 +/- 2.099e-09 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Sat Oct 11 03:52:25 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sat Oct 11 04:02:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e-02 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 6 2.0449954360e-14 -4.70e-01 2.23e-07 -3.848794e-02 1.439343e+00 -1.488542e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-14 rel. change during last iteration : -4.70208e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.0384879 +/- 3.119e-09 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.00342282 +/- 2.25e-09 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Sat Oct 11 04:02:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sat Oct 11 04:02:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e-02 0.00e+00 1.11e-01 -3.848794e-02 1.439343e+00 -1.488542e+00 3.422820e-03 6 3.5986365059e-14 0.00e+00 1.11e+02 -7.091721e-02 1.439343e+00 -1.536664e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.0709172 +/- 4.145e-09 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.00342282 +/- 2.983e-09 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Sat Oct 11 04:02:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952588166e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4911163761e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.85919e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sat Oct 11 04:02:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e-02 0.00e+00 2.07e-01 -7.091721e-02 1.439343e+00 -1.536664e+00 3.422820e-03 6 5.6415218288e-14 0.00e+00 2.07e+01 -9.261305e-02 1.439343e+00 -1.556658e+00 3.422819e-03 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.0926131 +/- 5.192e-09 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.00342282 +/- 3.734e-09 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sat Oct 11 04:02:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738565803e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.95e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.94819e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sat Oct 11 04:02:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-03 0.00e+00 2.70e-01 -9.261305e-02 1.439343e+00 -1.556658e+00 3.422819e-03 5 7.0278685636e-14 -2.01e-01 2.70e-06 -1.002336e-01 1.439343e+00 -1.570804e+00 3.422817e-03 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-14 rel. change during last iteration : -2.0112e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.100234 +/- 5.795e-09 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.00342282 +/- 4.167e-09 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sat Oct 11 04:02:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.30e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.29972e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sat Oct 11 04:02:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-03 0.00e+00 2.93e-01 -1.002336e-01 1.439343e+00 -1.570804e+00 3.422817e-03 5 5.1414008746e-14 -9.57e-02 2.93e-06 -9.261302e-02 1.439343e+00 -1.584952e+00 3.422819e-03 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-14 rel. change during last iteration : -9.56595e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.092613 +/- 4.957e-09 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.00342282 +/- 3.564e-09 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sat Oct 11 04:02:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sat Oct 11 04:02:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e-02 0.00e+00 2.71e-01 -9.261302e-02 1.439343e+00 -1.584952e+00 3.422819e-03 6 3.8711906299e-14 -4.45e-04 2.71e-07 -7.091716e-02 1.439343e+00 -1.604951e+00 3.422819e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-14 rel. change during last iteration : -4.44594e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.0709172 +/- 4.303e-09 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.00342282 +/- 3.092e-09 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Sat Oct 11 04:02:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sat Oct 11 04:02:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e-02 0.00e+00 2.08e-01 -7.091716e-02 1.439343e+00 -1.604951e+00 3.422819e-03 6 1.7082827096e-14 -1.83e-03 2.08e-07 -3.848793e-02 1.439343e+00 -1.653093e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-14 rel. change during last iteration : -1.83307e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.0384879 +/- 2.863e-09 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.00342282 +/- 2.053e-09 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Sat Oct 11 04:02:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sat Oct 11 04:02:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e-02 0.00e+00 1.14e-01 -3.848793e-02 1.439343e+00 -1.653093e+00 3.422820e-03 10 1.8605598430e-14 -4.22e-02 1.14e-02 -3.424517e-03 1.439341e+00 -3.141608e+00 3.422823e-03 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-14 rel. change during last iteration : -4.22224e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.00342452 +/- 3.012e-09 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.00342282 +/- 2.136e-09 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Sat Oct 11 04:02:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sat Oct 11 04:02:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e-02 0.00e+00 1.12e-02 -3.424517e-03 1.439341e+00 -3.141608e+00 3.422823e-03 36 1.8595433024e-14 -5.55e-04 1.12e-10 -3.848807e-02 1.439343e+00 -4.630092e+00 3.422819e-03 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-14 rel. change during last iteration : -5.54614e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.0384881 +/- 2.959e-09 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.00342282 +/- 2.15e-09 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Sat Oct 11 04:02:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sat Oct 11 04:02:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e-02 0.00e+00 1.26e-01 -3.848807e-02 1.439343e+00 -4.630092e+00 3.422819e-03 6 3.9636781235e-14 -6.65e-03 1.26e-07 -7.091726e-02 1.439343e+00 -4.678234e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-14 rel. change during last iteration : -6.65124e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.0709173 +/- 4.327e-09 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.00342282 +/- 3.137e-09 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Sat Oct 11 04:02:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sat Oct 11 04:02:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e-02 0.00e+00 2.34e-01 -7.091726e-02 1.439343e+00 -4.678234e+00 3.422820e-03 6 5.5511337456e-14 -6.02e-04 2.34e-07 -9.261306e-02 1.439343e+00 -4.698232e+00 3.422819e-03 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-14 rel. change during last iteration : -6.01925e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.0926131 +/- 5.123e-09 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.00342282 +/- 3.712e-09 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Sat Oct 11 04:02:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020432702e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1568198796e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57912e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sat Oct 11 04:02:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-03 0.00e+00 3.06e-01 -9.261306e-02 1.439343e+00 -4.698232e+00 3.422819e-03 5 6.6311705154e-14 -1.12e-01 3.06e-06 -1.002336e-01 1.439343e+00 -4.712380e+00 3.422821e-03 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-14 rel. change during last iteration : -1.11886e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.100234 +/- 5.599e-09 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.00342282 +/- 4.057e-09 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Sat Oct 11 04:02:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673734e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994693e-12 -3.67e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.66512e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sat Oct 11 04:02:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-03 0.00e+00 3.32e-01 -1.002336e-01 1.439343e+00 -4.712380e+00 3.422821e-03 5 5.9138008970e-14 -7.73e-02 3.32e-06 -9.261295e-02 1.439343e+00 -4.726527e+00 3.422821e-03 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-14 rel. change during last iteration : -7.73475e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.092613 +/- 5.288e-09 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.00342282 +/- 3.831e-09 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Sat Oct 11 04:02:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417888e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6447883867e-12 -5.73e-06 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.7253e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57912e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sat Oct 11 04:02:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e-02 0.00e+00 3.07e-01 -9.261295e-02 1.439343e+00 -4.726527e+00 3.422821e-03 5 3.5551026978e-14 -3.14e-02 3.07e-06 -7.091706e-02 1.439343e+00 -4.746521e+00 3.422820e-03 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-14 rel. change during last iteration : -3.13892e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.0709171 +/- 4.101e-09 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.00342282 +/- 2.97e-09 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Sat Oct 11 04:02:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962740919e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757507e-12 -4.79e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.79117e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sat Oct 11 04:02:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e-02 0.00e+00 2.36e-01 -7.091706e-02 1.439343e+00 -4.746521e+00 3.422820e-03 6 1.9226820809e-14 -6.50e-04 2.36e-07 -3.848774e-02 1.439343e+00 -4.794643e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-14 rel. change during last iteration : -6.49675e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.0384877 +/- 3.021e-09 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.00342282 +/- 2.183e-09 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Sat Oct 11 04:02:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243401e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.59e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.59135e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sat Oct 11 04:02:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e-02 0.00e+00 1.29e-01 -3.848774e-02 1.439343e+00 -4.794643e+00 3.422820e-03 10 1.8026239718e-14 -9.94e-02 1.29e-09 -3.422788e-03 1.439344e+00 -6.283223e+00 3.422823e-03 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-14 rel. change during last iteration : -9.93929e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.00342279 +/- 2.981e-09 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.00342282 +/- 2.099e-09 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Sat Oct 11 04:02:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sat Oct 11 04:03:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 8.7811506732e-01 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 8 6.5132339247e-14 -4.91e-03 2.23e-09 9.261295e-02 1.439343e+00 -1.584943e+00 -3.569392e-08 After 8 iterations the fit converged. final sum of squares of residuals : 6.51323e-14 rel. change during last iteration : -4.91488e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.21535e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03385e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = 0.092613 +/- 5.595e-09 (6.041e-06%) b[1] = 1.43934 +/- 2.108e-08 (1.465e-06%) c[1] = -1.58494 +/- 1.176e-07 (7.419e-06%) d[1] = -3.56939e-08 +/- 4.007e-09 (11.23%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] 0.022 1.000 c[1] -0.048 -0.858 1.000 d[1] -0.107 -0.130 0.060 1.000 ******************************************************************************* Sat Oct 11 04:03:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906889e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57912e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sat Oct 11 04:03:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 1.6056854381e-02 0.00e+00 2.71e-01 9.261295e-02 1.439343e+00 -1.584943e+00 -3.569392e-08 5 4.4346537358e-14 -9.40e-01 2.71e-06 7.091710e-02 1.439343e+00 -1.604939e+00 -3.569393e-08 After 5 iterations the fit converged. final sum of squares of residuals : 4.43465e-14 rel. change during last iteration : -9.40198e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.65314e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.03913e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = 0.0709171 +/- 4.618e-09 (6.512e-06%) b[2] = 1.43934 +/- 2.268e-08 (1.576e-06%) c[2] = -1.60494 +/- 1.267e-07 (7.897e-06%) d[2] = -3.56939e-08 +/- 3.306e-09 (9.263%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] 0.021 1.000 c[2] -0.048 -0.858 1.000 d[2] -0.106 -0.129 0.059 1.000 ******************************************************************************* Sat Oct 11 04:03:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5963512783e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4924891241e-12 -2.87e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49249e-12 rel. change during last iteration : -2.86831e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95267e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71824e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.293e-06%) dd[2] = -2.57912e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sat Oct 11 04:03:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 3.5819105327e-02 0.00e+00 2.08e-01 7.091710e-02 1.439343e+00 -1.604939e+00 -3.569393e-08 9 3.1795283584e-14 -1.79e-03 2.08e-07 3.848785e-02 1.439343e+00 -1.653071e+00 -3.491468e-08 After 9 iterations the fit converged. final sum of squares of residuals : 3.17953e-14 rel. change during last iteration : -1.79364e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.24652e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.04687e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = 0.0384879 +/- 3.918e-09 (1.018e-05%) b[3] = 1.43934 +/- 3.513e-08 (2.441e-06%) c[3] = -1.65307 +/- 1.969e-07 (1.191e-05%) d[3] = -3.49147e-08 +/- 2.798e-09 (8.013%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] 0.018 1.000 c[3] -0.045 -0.857 1.000 d[3] -0.102 -0.124 0.052 1.000 ******************************************************************************* Sat Oct 11 04:03:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738775535e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2450368916e-12 -1.93e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.9306e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57912e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sat Oct 11 04:03:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 4.9798148564e-02 0.00e+00 1.14e-01 3.848785e-02 1.439343e+00 -1.653071e+00 -3.491468e-08 11 1.0478170075e-14 -4.79e-03 1.14e-10 3.423639e-03 1.439345e+00 -3.141622e+00 -3.309385e-08 After 11 iterations the fit converged. final sum of squares of residuals : 1.04782e-14 rel. change during last iteration : -4.78568e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.28965e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.6632e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = 0.00342364 +/- 2.254e-09 (6.584e-05%) b[4] = 1.43934 +/- 2.24e-07 (1.556e-05%) c[4] = -3.14162 +/- 1.317e-06 (4.192e-05%) d[4] = -3.30939e-08 +/- 1.604e-09 (4.848%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] 0.014 1.000 c[4] 0.015 -0.868 1.000 d[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sat Oct 11 04:03:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316735768e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201716769e-12 -2.32e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -2.31702e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57912e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sat Oct 11 04:03:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 4.9796992744e-02 0.00e+00 1.10e-02 3.423639e-03 1.439345e+00 -3.141622e+00 -3.309385e-08 35 2.9646559649e-14 -1.36e-03 1.10e-10 3.848798e-02 1.439343e+00 -4.630114e+00 -3.403524e-08 After 35 iterations the fit converged. final sum of squares of residuals : 2.96466e-14 rel. change during last iteration : -1.35957e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.16929e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.7058e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = 0.038488 +/- 3.746e-09 (9.732e-06%) b[5] = 1.43934 +/- 3.536e-08 (2.457e-06%) c[5] = -4.63011 +/- 1.974e-07 (4.263e-06%) d[5] = -3.40352e-08 +/- 2.712e-09 (7.969%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] 0.042 1.000 c[5] -0.064 -0.865 1.000 d[5] 0.124 0.152 -0.090 1.000 ******************************************************************************* Sat Oct 11 04:03:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943808621e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2302727138e-12 -7.41e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.41253e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57912e-09 +/- 3.584e-08 (1389%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sat Oct 11 04:03:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.5793409881e-02 0.00e+00 1.26e-01 3.848798e-02 1.439343e+00 -4.630114e+00 -3.403524e-08 6 4.9072384973e-14 -6.51e-06 1.26e+01 7.091722e-02 1.439343e+00 -4.678246e+00 -3.403525e-08 After 6 iterations the fit converged. final sum of squares of residuals : 4.90724e-14 rel. change during last iteration : -6.51201e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79093e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78927e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.0709172 +/- 4.828e-09 (6.808e-06%) b[6] = 1.43934 +/- 2.451e-08 (1.703e-06%) c[6] = -4.67825 +/- 1.371e-07 (2.931e-06%) d[6] = -3.40352e-08 +/- 3.487e-09 (10.24%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.038 1.000 c[6] -0.061 -0.864 1.000 d[6] 0.121 0.147 -0.083 1.000 ******************************************************************************* Sat Oct 11 04:03:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523476087e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.4201952700e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91754e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57912e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sat Oct 11 04:03:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 1.5982112288e-02 0.00e+00 2.34e-01 7.091722e-02 1.439343e+00 -4.678246e+00 -3.403525e-08 6 6.2779891489e-14 -8.48e-01 2.34e-07 9.261303e-02 1.439343e+00 -4.698242e+00 -3.404270e-08 After 6 iterations the fit converged. final sum of squares of residuals : 6.27799e-14 rel. change during last iteration : -8.47592e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.15675e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 9.96506e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.092613 +/- 5.462e-09 (5.898e-06%) b[7] = 1.43934 +/- 2.119e-08 (1.472e-06%) c[7] = -4.69824 +/- 1.188e-07 (2.528e-06%) d[7] = -3.40427e-08 +/- 3.943e-09 (11.58%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.037 1.000 c[7] -0.061 -0.864 1.000 d[7] 0.120 0.146 -0.082 1.000 ******************************************************************************* Sat Oct 11 04:03:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947748e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2281133364e-12 -3.11e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.11354e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57912e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sat Oct 11 04:03:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 1.9947904720e-03 0.00e+00 3.06e-01 9.261303e-02 1.439343e+00 -4.698242e+00 -3.404270e-08 5 8.0362319436e-14 -7.10e-02 3.06e-06 1.002336e-01 1.439343e+00 -4.712389e+00 -3.404279e-08 After 5 iterations the fit converged. final sum of squares of residuals : 8.03623e-14 rel. change during last iteration : -7.09934e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.57154e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.27559e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.100234 +/- 6.18e-09 (6.166e-06%) b[8] = 1.43934 +/- 2.215e-08 (1.539e-06%) c[8] = -4.71239 +/- 1.243e-07 (2.638e-06%) d[8] = -3.40428e-08 +/- 4.461e-09 (13.11%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.037 1.000 c[8] -0.061 -0.865 1.000 d[8] 0.120 0.146 -0.082 1.000 ******************************************************************************* Sat Oct 11 04:03:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532787967e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3183386576e-12 -8.61e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.61496e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57912e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sat Oct 11 04:03:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.0861557810e-03 0.00e+00 3.32e-01 1.002336e-01 1.439343e+00 -4.712389e+00 -3.404279e-08 5 6.5539201552e-14 -8.11e-03 3.32e-06 9.261296e-02 1.439343e+00 -4.726536e+00 -3.404275e-08 After 5 iterations the fit converged. final sum of squares of residuals : 6.55392e-14 rel. change during last iteration : -8.10801e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22538e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.0403e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.092613 +/- 5.582e-09 (6.027e-06%) b[9] = 1.43934 +/- 2.165e-08 (1.504e-06%) c[9] = -4.72654 +/- 1.217e-07 (2.574e-06%) d[9] = -3.40428e-08 +/- 4.029e-09 (11.83%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.037 1.000 c[9] -0.061 -0.865 1.000 d[9] 0.120 0.146 -0.082 1.000 ******************************************************************************* Sat Oct 11 04:03:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825842e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.1534671172e-12 -6.69e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -6.68993e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57912e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sat Oct 11 04:03:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.6277870933e-02 0.00e+00 3.08e-01 9.261296e-02 1.439343e+00 -4.726536e+00 -3.404275e-08 5 4.6241508702e-14 -3.24e-01 3.08e-06 7.091709e-02 1.439343e+00 -4.746532e+00 -3.404280e-08 After 5 iterations the fit converged. final sum of squares of residuals : 4.62415e-14 rel. change during last iteration : -3.24163e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.70923e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.33992e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.0709171 +/- 4.69e-09 (6.613e-06%) b[10] = 1.43934 +/- 2.371e-08 (1.647e-06%) c[10] = -4.74653 +/- 1.335e-07 (2.813e-06%) d[10] = -3.40428e-08 +/- 3.384e-09 (9.939%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.036 1.000 c[10] -0.060 -0.865 1.000 d[10] 0.119 0.145 -0.081 1.000 ******************************************************************************* Sat Oct 11 04:03:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235046e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6152192438e-12 -1.06e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.05833e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57912e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sat Oct 11 04:03:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 3.6317302888e-02 0.00e+00 2.36e-01 7.091709e-02 1.439343e+00 -4.746532e+00 -3.404280e-08 9 3.1876343569e-14 -2.07e-03 2.36e-07 3.848781e-02 1.439343e+00 -4.794665e+00 -3.340422e-08 After 9 iterations the fit converged. final sum of squares of residuals : 3.18763e-14 rel. change during last iteration : -2.07121e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.24939e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.05974e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.0384878 +/- 3.901e-09 (1.014e-05%) b[11] = 1.43934 +/- 3.6e-08 (2.501e-06%) c[11] = -4.79466 +/- 2.032e-07 (4.238e-06%) d[11] = -3.34042e-08 +/- 2.807e-09 (8.404%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.032 1.000 c[11] -0.057 -0.864 1.000 d[11] 0.115 0.140 -0.074 1.000 ******************************************************************************* Sat Oct 11 04:03:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2622425886e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.2139470679e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.21395e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.27611e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.054e-08 (5.054e-06%) bb[11] = 1.43934 +/- 1.68e-08 (1.167e-06%) cc[11] = -3.14159 +/- 9.992e-08 (3.181e-06%) dd[11] = -2.57912e-09 +/- 3.573e-08 (1385%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sat Oct 11 04:03:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0491924786e-02 0.00e+00 1.29e-01 3.848781e-02 1.439343e+00 -4.794665e+00 -3.340422e-08 11 1.0425897866e-14 -1.92e-03 1.29e-10 3.423666e-03 1.439341e+00 -6.283209e+00 -3.296825e-08 After 11 iterations the fit converged. final sum of squares of residuals : 1.04259e-14 rel. change during last iteration : -1.91801e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.28643e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.6549e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.00342367 +/- 2.261e-09 (6.605e-05%) b[12] = 1.43934 +/- 2.188e-07 (1.52e-05%) c[12] = -6.28321 +/- 1.304e-06 (2.075e-05%) d[12] = -3.29682e-08 +/- 1.597e-09 (4.845%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.006 1.000 c[12] 0.019 -0.868 1.000 d[12] -0.083 -0.098 0.145 1.000 ******************************************************************************* Sat Oct 11 04:03:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7414122115e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5687994704e-12 -3.25e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.25146e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57912e-09 +/- 3.692e-08 (1431%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sat Oct 11 04:03:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 5.0490798865e-02 0.00e+00 1.30e-02 3.423666e-03 1.439341e+00 -6.283209e+00 -3.296825e-08 38 3.0236727582e-14 -1.42e-07 1.30e+01 3.848802e-02 1.439343e+00 -7.771705e+00 -3.325333e-08 After 38 iterations the fit converged. final sum of squares of residuals : 3.02367e-14 rel. change during last iteration : -1.42407e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.19077e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79948e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.038488 +/- 3.765e-09 (9.782e-06%) b[13] = 1.43934 +/- 3.654e-08 (2.538e-06%) c[13] = -7.77171 +/- 2.059e-07 (2.649e-06%) d[13] = -3.32533e-08 +/- 2.745e-09 (8.255%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.057 1.000 c[13] -0.075 -0.873 1.000 d[13] -0.136 -0.166 0.111 1.000 ******************************************************************************* Sat Oct 11 04:03:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8106660286e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.6089720219e-12 -2.14e-05 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.60897e-12 rel. change during last iteration : -2.14451e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98381e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.90313e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.249e-08 (5.249e-06%) bb[13] = 1.43934 +/- 1.733e-08 (1.204e-06%) cc[13] = -3.14159 +/- 1.034e-07 (3.293e-06%) dd[13] = -2.57912e-09 +/- 3.704e-08 (1436%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sat Oct 11 04:03:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.6292934794e-02 0.00e+00 1.51e-01 3.848802e-02 1.439343e+00 -7.771705e+00 -3.325333e-08 8 5.0389736327e-14 -7.68e-01 1.51e-09 7.091723e-02 1.439343e+00 -7.819838e+00 -3.284370e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.03897e-14 rel. change during last iteration : -7.67645e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82814e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.99837e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.0709172 +/- 4.868e-09 (6.864e-06%) b[14] = 1.43934 +/- 2.541e-08 (1.766e-06%) c[14] = -7.81984 +/- 1.435e-07 (1.835e-06%) d[14] = -3.28437e-08 +/- 3.541e-09 (10.78%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] 0.053 1.000 c[14] -0.073 -0.872 1.000 d[14] -0.133 -0.161 0.104 1.000 ******************************************************************************* Sat Oct 11 04:03:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4927671217e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3604757497e-12 -5.16e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -5.16281e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57912e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sat Oct 11 04:03:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 1.6207196608e-02 0.00e+00 2.80e-01 7.091723e-02 1.439343e+00 -7.819838e+00 -3.284370e-08 6 6.5907663003e-14 -9.77e-02 2.80e-07 9.261302e-02 1.439343e+00 -7.839834e+00 -3.284574e-08 After 6 iterations the fit converged. final sum of squares of residuals : 6.59077e-14 rel. change during last iteration : -9.76854e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.23443e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04615e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.092613 +/- 5.569e-09 (6.013e-06%) b[15] = 1.43934 +/- 2.223e-08 (1.544e-06%) c[15] = -7.83983 +/- 1.257e-07 (1.603e-06%) d[15] = -3.28457e-08 +/- 4.049e-09 (12.33%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] 0.052 1.000 c[15] -0.072 -0.872 1.000 d[15] -0.132 -0.161 0.103 1.000 ******************************************************************************* Sat Oct 11 04:03:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509243231e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.3969614855e-12 -4.61e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.60522e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.56661e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57912e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sat Oct 11 04:03:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.0240031787e-03 0.00e+00 3.67e-01 9.261302e-02 1.439343e+00 -7.839834e+00 -3.284574e-08 5 7.6619827645e-14 -9.80e-02 3.67e-06 1.002335e-01 1.439343e+00 -7.853981e+00 -3.284587e-08 After 5 iterations the fit converged. final sum of squares of residuals : 7.66198e-14 rel. change during last iteration : -9.7953e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.48739e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.21619e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = 0.100234 +/- 6.004e-09 (5.99e-06%) b[16] = 1.43934 +/- 2.214e-08 (1.538e-06%) c[16] = -7.85398 +/- 1.254e-07 (1.596e-06%) d[16] = -3.28459e-08 +/- 4.366e-09 (13.29%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.052 1.000 c[16] -0.072 -0.872 1.000 d[16] -0.132 -0.161 0.103 1.000 ******************************************************************************* Sat Oct 11 04:03:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514417989e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 3 5.5199175284e-12 -1.25e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.579124e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -1.2509e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57912e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sat Oct 11 04:04:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.0435576992e+00 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 19 1.1095257443e-13 -1.87e-04 2.23e-10 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 After 19 iterations the fit converged. final sum of squares of residuals : 1.10953e-13 rel. change during last iteration : -1.8684e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.19661e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.76115e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.126173 +/- 7.119e-09 (5.642e-06%) b[1] = 1.43934 +/- 2.268e-08 (1.575e-06%) c[1] = 2.32272 +/- 1.267e-07 (5.453e-06%) d[1] = -1.41448e-07 +/- 5.293e-09 (3.742%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.069 -0.883 1.000 d[1] 0.163 -0.200 0.176 1.000 ******************************************************************************* Sat Oct 11 04:04:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1479213681e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0805823849e-12 -2.11e-04 3.04e-08 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.08058e-12 rel. change during last iteration : -2.11331e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83979e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.06442e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.953e-08 (4.953e-06%) bb[1] = 1.43934 +/- 1.703e-08 (1.183e-06%) cc[1] = -3.14159 +/- 9.958e-08 (3.17e-06%) dd[1] = -1.06726e-08 +/- 3.535e-08 (331.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sat Oct 11 04:04:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 1.8631792526e-01 0.00e+00 3.66e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 9 2.1332493542e-13 -2.31e-05 3.66e-07 -1.741520e-01 1.439336e+00 2.724614e+00 -1.381601e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.13325e-13 rel. change during last iteration : -2.31095e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.81903e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38611e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.174152 +/- 9.95e-09 (5.714e-06%) b[2] = 1.43934 +/- 2.182e-08 (1.516e-06%) c[2] = 2.72461 +/- 1.251e-07 (4.592e-06%) d[2] = -1.3816e-07 +/- 7.305e-09 (5.287%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.056 1.000 c[2] 0.029 -0.881 1.000 d[2] 0.144 -0.176 0.182 1.000 ******************************************************************************* Sat Oct 11 04:04:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 3.8738235503e-11 0.00e+00 3.19e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.5450267676e-12 -2.07e-01 3.19e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.54503e-12 rel. change during last iteration : -2.07164e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96675e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.80163e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.178e-08 (5.178e-06%) bb[2] = 1.43934 +/- 1.774e-08 (1.233e-06%) cc[2] = -3.1416 +/- 1.039e-07 (3.308e-06%) dd[2] = -1.06726e-08 +/- 3.693e-08 (346%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sat Oct 11 04:04:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.0736782997e-01 0.00e+00 5.27e-01 -1.741520e-01 1.439336e+00 2.724614e+00 -1.381601e-07 9 3.0393444983e-13 0.00e+00 5.27e+01 -2.115009e-01 1.439336e+00 2.960119e+00 -1.457384e-07 After 9 iterations the fit converged. final sum of squares of residuals : 3.03934e-13 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.94576e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.82436e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.211501 +/- 1.201e-08 (5.68e-06%) b[3] = 1.43934 +/- 2.037e-08 (1.415e-06%) c[3] = 2.96012 +/- 1.186e-07 (4.008e-06%) d[3] = -1.45738e-07 +/- 8.674e-09 (5.952%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.030 1.000 c[3] -0.001 -0.874 1.000 d[3] 0.119 -0.144 0.169 1.000 ******************************************************************************* Sat Oct 11 04:04:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 3.7451619270e-11 0.00e+00 3.20e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 4.9590241140e-12 -2.25e-01 3.20e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.95902e-12 rel. change during last iteration : -2.24888e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80561e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.87147e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.9e-08 (4.9e-06%) bb[3] = 1.43934 +/- 1.673e-08 (1.162e-06%) cc[3] = -3.14159 +/- 9.819e-08 (3.126e-06%) dd[3] = -1.06726e-08 +/- 3.491e-08 (327.1%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sat Oct 11 04:04:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 5.6060492636e-02 0.00e+00 6.63e-01 -2.115009e-01 1.439336e+00 2.960119e+00 -1.457384e-07 9 3.1073481028e-13 -8.11e-04 6.63e-10 -2.251603e-01 1.439336e+00 3.141593e+00 -1.368605e-07 After 9 iterations the fit converged. final sum of squares of residuals : 3.10735e-13 rel. change during last iteration : -8.11357e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.02303e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.9323e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.22516 +/- 1.228e-08 (5.452e-06%) b[4] = 1.43934 +/- 1.855e-08 (1.289e-06%) c[4] = 3.14159 +/- 1.091e-07 (3.471e-06%) d[4] = -1.3686e-07 +/- 8.737e-09 (6.384%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.008 1.000 c[4] -0.021 -0.868 1.000 d[4] 0.096 -0.115 0.155 1.000 ******************************************************************************* Sat Oct 11 04:04:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 1.8358062317e-10 0.00e+00 3.21e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.7366633433e-12 -9.16e-01 3.21e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73666e-12 rel. change during last iteration : -9.16036e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01758e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10581e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.274e-08 (5.274e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.055e-07 (3.358e-06%) dd[4] = -1.06726e-08 +/- 3.754e-08 (351.7%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sat Oct 11 04:04:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 6.2017554658e-02 0.00e+00 7.24e-01 -2.251603e-01 1.439336e+00 3.141593e+00 -1.368605e-07 5 2.4594983593e-13 -9.43e-01 7.24e-06 -2.115008e-01 1.439336e+00 3.323067e+00 -1.368625e-07 After 5 iterations the fit converged. final sum of squares of residuals : 2.4595e-13 rel. change during last iteration : -9.43061e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.24817e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.90397e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.211501 +/- 1.103e-08 (5.217e-06%) b[5] = 1.43934 +/- 1.694e-08 (1.177e-06%) c[5] = 3.32307 +/- 1.001e-07 (3.012e-06%) d[5] = -1.36863e-07 +/- 7.749e-09 (5.662%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] 0.010 1.000 c[5] -0.034 -0.862 1.000 d[5] 0.070 -0.084 0.137 1.000 ******************************************************************************* Sat Oct 11 04:04:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 1.8511539088e-10 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.8942154726e-12 0.00e+00 3.22e+02 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.89422e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78722e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.7686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.875e-08 (4.875e-06%) bb[5] = 1.43934 +/- 1.653e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.736e-08 (3.099e-06%) dd[5] = -1.06726e-08 +/- 3.467e-08 (324.8%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sat Oct 11 04:04:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.2133046241e-01 0.00e+00 6.96e-01 -2.115008e-01 1.439336e+00 3.323067e+00 -1.368625e-07 9 1.9021873491e-13 -6.35e-04 6.96e-10 -1.741519e-01 1.439336e+00 3.558573e+00 -1.412157e-07 After 9 iterations the fit converged. final sum of squares of residuals : 1.90219e-13 rel. change during last iteration : -6.34792e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.49486e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.01934e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.174152 +/- 9.799e-09 (5.627e-06%) b[6] = 1.43934 +/- 1.752e-08 (1.217e-06%) c[6] = 3.55857 +/- 1.035e-07 (2.908e-06%) d[6] = -1.41216e-07 +/- 6.797e-09 (4.813%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.025 1.000 c[6] -0.038 -0.855 1.000 d[6] 0.037 -0.044 0.112 1.000 ******************************************************************************* Sat Oct 11 04:04:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 3.7728907498e-11 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.6471858074e-12 -1.73e-01 3.22e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.64719e-12 rel. change during last iteration : -1.72968e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99396e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.96379e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.241e-08 (5.241e-06%) bb[6] = 1.43934 +/- 1.771e-08 (1.23e-06%) cc[6] = -3.14159 +/- 1.045e-07 (3.326e-06%) dd[6] = -1.06726e-08 +/- 3.723e-08 (348.8%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sat Oct 11 04:04:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 1.9903601954e-01 0.00e+00 5.85e-01 -1.741519e-01 1.439336e+00 3.558573e+00 -1.412157e-07 6 9.5915737272e-14 -9.98e-01 5.85e-07 -1.261728e-01 1.439336e+00 3.960470e+00 -1.411989e-07 After 6 iterations the fit converged. final sum of squares of residuals : 9.59157e-14 rel. change during last iteration : -9.97845e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.90189e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.52247e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.126173 +/- 6.978e-09 (5.531e-06%) b[7] = 1.43934 +/- 1.703e-08 (1.183e-06%) c[7] = 3.96047 +/- 9.914e-08 (2.503e-06%) d[7] = -1.41199e-07 +/- 4.823e-09 (3.416%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.030 1.000 c[7] -0.018 -0.849 1.000 d[7] -0.020 0.025 0.058 1.000 ******************************************************************************* Sat Oct 11 04:04:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 3.5390677633e-11 0.00e+00 3.23e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.0487608087e-12 -1.56e-01 3.23e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.04876e-12 rel. change during last iteration : -1.55757e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83088e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01391e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.959e-08 (4.959e-06%) bb[7] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[7] = -3.14159 +/- 9.869e-08 (3.142e-06%) dd[7] = -1.06726e-08 +/- 3.519e-08 (329.7%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sat Oct 11 04:04:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 2.4955371324e-01 0.00e+00 4.29e-01 -1.261728e-01 1.439336e+00 3.960470e+00 -1.411989e-07 9 5.0210436822e-14 -1.72e-04 4.29e-10 -9.974681e-02 1.439336e+00 4.712390e+00 -1.433899e-07 After 9 iterations the fit converged. final sum of squares of residuals : 5.02104e-14 rel. change during last iteration : -1.72295e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8231e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.96991e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.0997468 +/- 4.883e-09 (4.895e-06%) b[8] = 1.43934 +/- 1.76e-08 (1.222e-06%) c[8] = 4.71239 +/- 9.876e-08 (2.096e-06%) d[8] = -1.4339e-07 +/- 3.526e-09 (2.459%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.029 1.000 c[8] 0.051 -0.865 1.000 d[8] -0.119 0.146 -0.082 1.000 ******************************************************************************* Sat Oct 11 04:04:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 1.9126072607e-10 0.00e+00 3.24e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.7615521961e-12 -9.42e-01 3.24e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.76155e-12 rel. change during last iteration : -9.42198e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.02412e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14532e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.301e-08 (5.301e-06%) bb[8] = 1.43934 +/- 1.779e-08 (1.236e-06%) cc[8] = -3.14159 +/- 1.053e-07 (3.353e-06%) dd[8] = -1.06726e-08 +/- 3.759e-08 (352.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sat Oct 11 04:04:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.4335928077e-01 0.00e+00 3.31e-01 -9.974681e-02 1.439336e+00 4.712390e+00 -1.433899e-07 9 9.5315878427e-14 0.00e+00 3.31e+01 -1.261730e-01 1.439336e+00 5.464310e+00 -1.360861e-07 After 9 iterations the fit converged. final sum of squares of residuals : 9.53159e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.88967e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.51295e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.126173 +/- 6.6e-09 (5.231e-06%) b[9] = 1.43934 +/- 2.095e-08 (1.455e-06%) c[9] = 5.46431 +/- 1.19e-07 (2.179e-06%) d[9] = -1.36086e-07 +/- 4.904e-09 (3.604%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.074 1.000 c[9] 0.059 -0.886 1.000 d[9] -0.161 0.198 -0.182 1.000 ******************************************************************************* Sat Oct 11 04:04:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 1.8223442001e-10 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 4.9193659252e-12 -8.79e-06 3.25e-02 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.91937e-12 rel. change during last iteration : -8.79006e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79437e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80852e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.902e-08 (4.902e-06%) bb[9] = 1.43934 +/- 1.64e-08 (1.139e-06%) cc[9] = -3.14159 +/- 9.724e-08 (3.095e-06%) dd[9] = -1.06726e-08 +/- 3.472e-08 (325.3%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sat Oct 11 04:04:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.8428069904e-01 0.00e+00 4.28e-01 -1.261730e-01 1.439336e+00 5.464310e+00 -1.360861e-07 9 2.0327104573e-13 -8.06e-06 4.28e-01 -1.741520e-01 1.439336e+00 5.866207e+00 -1.470545e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.03271e-13 rel. change during last iteration : -8.06057e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.68025e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.22652e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.174152 +/- 9.756e-09 (5.602e-06%) b[10] = 1.43934 +/- 2.085e-08 (1.449e-06%) c[10] = 5.86621 +/- 1.217e-07 (2.075e-06%) d[10] = -1.47055e-07 +/- 7.115e-09 (4.838%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.042 1.000 c[10] 0.013 -0.881 1.000 d[10] -0.134 0.163 -0.177 1.000 ******************************************************************************* Sat Oct 11 04:04:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 3.7950405191e-11 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 3 5.8349885918e-12 -1.71e-01 3.25e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.83499e-12 rel. change during last iteration : -1.70959e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.04333e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26189e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.342e-08 (5.342e-06%) bb[10] = 1.43934 +/- 1.781e-08 (1.238e-06%) cc[10] = -3.1416 +/- 1.058e-07 (3.368e-06%) dd[10] = -1.06726e-08 +/- 3.781e-08 (354.2%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sat Oct 11 04:04:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.0706703176e-01 0.00e+00 6.24e-01 -1.741520e-01 1.439336e+00 5.866207e+00 -1.470545e-07 9 2.3022893259e-13 -3.55e-03 6.24e-10 -2.115009e-01 1.439336e+00 6.101713e+00 -1.385859e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.30229e-13 rel. change during last iteration : -3.55368e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.04519e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.65443e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.211501 +/- 1.052e-08 (4.973e-06%) b[11] = 1.43934 +/- 1.731e-08 (1.203e-06%) c[11] = 6.10171 +/- 1.025e-07 (1.679e-06%) d[11] = -1.38586e-07 +/- 7.533e-09 (5.436%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.015 1.000 c[11] -0.016 -0.874 1.000 d[11] -0.106 0.129 -0.161 1.000 ******************************************************************************* Sat Oct 11 04:04:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 3.7002624721e-11 0.00e+00 3.26e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067259e-08 3 5.1807304984e-12 -1.71e-01 3.26e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.18073e-12 rel. change during last iteration : -1.7107e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86764e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22338e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.037e-08 (5.037e-06%) bb[11] = 1.43934 +/- 1.674e-08 (1.163e-06%) cc[11] = -3.14159 +/- 9.96e-08 (3.17e-06%) dd[11] = -1.06726e-08 +/- 3.562e-08 (333.7%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sat Oct 11 04:04:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.6766154301e-02 0.00e+00 7.85e-01 -2.115009e-01 1.439336e+00 6.101713e+00 -1.385859e-07 5 3.3148842914e-13 -6.26e-02 7.85e-06 -2.251603e-01 1.439336e+00 6.283186e+00 -1.385858e-07 After 5 iterations the fit converged. final sum of squares of residuals : 3.31488e-13 rel. change during last iteration : -6.25908e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.25377e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.26172e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.22516 +/- 1.275e-08 (5.665e-06%) b[12] = 1.43934 +/- 1.876e-08 (1.303e-06%) c[12] = 6.28319 +/- 1.118e-07 (1.779e-06%) d[12] = -1.38586e-07 +/- 9.007e-09 (6.499%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.004 1.000 c[12] -0.032 -0.868 1.000 d[12] -0.081 0.098 -0.145 1.000 ******************************************************************************* Sat Oct 11 04:04:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 1.9036107710e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067259e-08 4 5.6969570226e-12 -1.99e-05 3.27e-02 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.69696e-12 rel. change during last iteration : -1.99291e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.00712e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.04279e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.286e-08 (5.286e-06%) bb[12] = 1.43934 +/- 1.751e-08 (1.217e-06%) cc[12] = -3.14159 +/- 1.044e-07 (3.322e-06%) dd[12] = -1.06726e-08 +/- 3.734e-08 (349.9%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sat Oct 11 04:04:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 6.2392492540e-02 0.00e+00 8.58e-01 -2.251603e-01 1.439336e+00 6.283186e+00 -1.385858e-07 5 2.6144055618e-13 -4.29e-01 8.58e-06 -2.115008e-01 1.439336e+00 6.464660e+00 -1.385870e-07 After 5 iterations the fit converged. final sum of squares of residuals : 2.61441e-13 rel. change during last iteration : -4.28585e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.44193e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.14985e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.211501 +/- 1.143e-08 (5.405e-06%) b[13] = 1.43934 +/- 1.719e-08 (1.194e-06%) c[13] = 6.46466 +/- 1.027e-07 (1.588e-06%) d[13] = -1.38587e-07 +/- 7.978e-09 (5.757%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.020 1.000 c[13] -0.040 -0.862 1.000 d[13] -0.056 0.067 -0.126 1.000 ******************************************************************************* Sat Oct 11 04:04:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 1.7986552739e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 4 5.2003047908e-12 -4.04e-05 3.27e-04 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.2003e-12 rel. change during last iteration : -4.04327e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87306e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.25445e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.054e-08 (5.054e-06%) bb[13] = 1.43934 +/- 1.669e-08 (1.16e-06%) cc[13] = -3.14159 +/- 9.961e-08 (3.171e-06%) dd[13] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sat Oct 11 04:04:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.2025439016e-01 0.00e+00 8.24e-01 -2.115008e-01 1.439336e+00 6.464660e+00 -1.385870e-07 9 2.3163068563e-13 -4.31e-03 8.24e-10 -1.741519e-01 1.439336e+00 6.700166e+00 -1.454451e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.31631e-13 rel. change during last iteration : -4.30706e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.06356e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.67668e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.174152 +/- 1.084e-08 (6.225e-06%) b[14] = 1.43934 +/- 1.918e-08 (1.332e-06%) c[14] = 6.70017 +/- 1.142e-07 (1.704e-06%) d[14] = -1.45445e-07 +/- 7.495e-09 (5.153%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] 0.031 1.000 c[14] -0.038 -0.856 1.000 d[14] -0.022 0.026 -0.099 1.000 ******************************************************************************* Sat Oct 11 04:04:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 3.7733042656e-11 0.00e+00 3.28e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 3 5.8046691470e-12 -1.63e-01 3.28e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.80467e-12 rel. change during last iteration : -1.62868e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03542e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.21376e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.343e-08 (5.343e-06%) bb[14] = 1.43934 +/- 1.759e-08 (1.222e-06%) cc[14] = -3.14159 +/- 1.051e-07 (3.347e-06%) dd[14] = -1.06726e-08 +/- 3.768e-08 (353%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sat Oct 11 04:04:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 1.9629255085e-01 0.00e+00 6.92e-01 -1.741519e-01 1.439336e+00 6.700166e+00 -1.454451e-07 9 1.0088730466e-13 -2.33e-03 6.92e-10 -1.261729e-01 1.439336e+00 7.102064e+00 -1.388901e-07 After 9 iterations the fit converged. final sum of squares of residuals : 1.00887e-13 rel. change during last iteration : -2.32822e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.00173e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.60139e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.126173 +/- 7.14e-09 (5.659e-06%) b[15] = 1.43934 +/- 1.76e-08 (1.223e-06%) c[15] = 7.10206 +/- 1.03e-07 (1.45e-06%) d[15] = -1.3889e-07 +/- 4.95e-09 (3.564%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] 0.029 1.000 c[15] -0.012 -0.853 1.000 d[15] 0.035 -0.042 -0.040 1.000 ******************************************************************************* Sat Oct 11 04:04:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 3.4821292998e-11 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067259e-08 3 5.2039775772e-12 -1.49e-01 3.29e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.20398e-12 rel. change during last iteration : -1.49158e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.26028e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.063e-08 (5.063e-06%) bb[15] = 1.43934 +/- 1.662e-08 (1.154e-06%) cc[15] = -3.14159 +/- 9.947e-08 (3.166e-06%) dd[15] = -1.06726e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sat Oct 11 04:04:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.4595953822e-01 0.00e+00 5.08e-01 -1.261729e-01 1.439336e+00 7.102064e+00 -1.388901e-07 9 4.9476265334e-14 -4.23e-04 5.08e-10 -9.974686e-02 1.439336e+00 7.853983e+00 -1.421416e-07 After 9 iterations the fit converged. final sum of squares of residuals : 4.94763e-14 rel. change during last iteration : -4.23094e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80239e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.85338e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0997469 +/- 4.82e-09 (4.832e-06%) b[16] = 1.43934 +/- 1.788e-08 (1.242e-06%) c[16] = 7.85398 +/- 1.012e-07 (1.289e-06%) d[16] = -1.42142e-07 +/- 3.509e-09 (2.468%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.038 1.000 c[16] 0.056 -0.872 1.000 d[16] 0.130 -0.161 0.103 1.000 ******************************************************************************* Sat Oct 11 04:04:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 1.9137284223e-10 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067259e-08 4 5.8140909976e-12 -5.28e-05 3.29e-04 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067259e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.81409e-12 rel. change during last iteration : -5.27909e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03788e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.22872e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.355e-08 (5.355e-06%) bb[16] = 1.43934 +/- 1.752e-08 (1.217e-06%) cc[16] = -3.14159 +/- 1.051e-07 (3.344e-06%) dd[16] = -1.06726e-08 +/- 3.769e-08 (353.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sat Oct 11 04:10:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.1348903613e-01 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 8 4.0209622290e-14 -5.46e-05 2.23e+00 -8.757538e-02 1.439343e+00 -3.136442e+00 -2.023819e-07 After 8 iterations the fit converged. final sum of squares of residuals : 4.02096e-14 rel. change during last iteration : -5.45711e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.52636e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 6.38248e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.0875754 +/- 4.407e-09 (5.033e-06%) b[1] = 1.43934 +/- 1.728e-08 (1.201e-06%) c[1] = -3.13644 +/- 1.011e-07 (3.222e-06%) d[1] = -2.02382e-07 +/- 3.145e-09 (1.554%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.018 1.000 c[1] -0.012 -0.868 1.000 d[1] 0.101 -0.121 0.157 1.000 ******************************************************************************* Sat Oct 11 04:10:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476623608e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2943944152e-12 -2.44e-05 3.04e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.29439e-12 rel. change during last iteration : -2.43537e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89893e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4038e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.056e-08 (5.056e-06%) bb[1] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[1] = -3.14159 +/- 1.017e-07 (3.236e-06%) dd[1] = -8.93725e-09 +/- 3.609e-08 (403.8%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sat Oct 11 04:10:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 1.8362039783e-01 0.00e+00 2.80e-01 -8.757538e-02 1.439343e+00 -3.136442e+00 -2.023819e-07 8 1.6629717888e-13 -5.75e-02 2.80e-09 -1.618160e-01 1.439343e+00 -3.139459e+00 -2.038395e-07 After 8 iterations the fit converged. final sum of squares of residuals : 1.66297e-13 rel. change during last iteration : -5.74501e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.13774e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.63964e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.161816 +/- 8.968e-09 (5.542e-06%) b[2] = 1.43934 +/- 1.898e-08 (1.319e-06%) c[2] = -3.13946 +/- 1.112e-07 (3.542e-06%) d[2] = -2.0384e-07 +/- 6.394e-09 (3.137%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.016 1.000 c[2] -0.013 -0.868 1.000 d[2] 0.100 -0.119 0.157 1.000 ******************************************************************************* Sat Oct 11 04:10:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6510426831e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 3 5.4641616097e-12 -3.33e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46416e-12 rel. change during last iteration : -3.32997e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94504e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.67327e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.14e-08 (5.14e-06%) bb[2] = 1.43934 +/- 1.761e-08 (1.224e-06%) cc[2] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[2] = -8.93725e-09 +/- 3.666e-08 (410.1%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sat Oct 11 04:10:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 8.1849591759e-02 0.00e+00 5.18e-01 -1.618160e-01 1.439343e+00 -3.139459e+00 -2.038395e-07 9 2.4347420400e-13 -3.53e-04 5.18e-10 -2.114220e-01 1.439343e+00 -3.140709e+00 -1.957800e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.43474e-13 rel. change during last iteration : -3.52663e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.21665e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.86467e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.211422 +/- 1.086e-08 (5.136e-06%) b[3] = 1.43934 +/- 1.753e-08 (1.218e-06%) c[3] = -3.14071 +/- 1.029e-07 (3.276e-06%) d[3] = -1.9578e-07 +/- 7.735e-09 (3.951%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.015 1.000 c[3] -0.014 -0.868 1.000 d[3] 0.098 -0.117 0.156 1.000 ******************************************************************************* Sat Oct 11 04:10:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.1173505599e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 3 5.0619647820e-12 -1.24e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.06196e-12 rel. change during last iteration : -1.23834e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83458e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.03486e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.951e-08 (4.951e-06%) bb[3] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[3] = -3.14159 +/- 9.921e-08 (3.158e-06%) dd[3] = -8.93725e-09 +/- 3.527e-08 (394.7%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sat Oct 11 04:10:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.0085644523e-02 0.00e+00 6.78e-01 -2.114220e-01 1.439343e+00 -3.140709e+00 -1.957800e-07 5 3.0501624018e-13 -1.89e-01 6.78e-06 -2.288413e-01 1.439343e+00 -3.141592e+00 -1.957815e-07 After 5 iterations the fit converged. final sum of squares of residuals : 3.05016e-13 rel. change during last iteration : -1.89379e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.95811e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.84153e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.228841 +/- 1.216e-08 (5.314e-06%) b[4] = 1.43934 +/- 1.808e-08 (1.256e-06%) c[4] = -3.14159 +/- 1.063e-07 (3.384e-06%) d[4] = -1.95782e-07 +/- 8.656e-09 (4.421%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.014 1.000 c[4] -0.015 -0.868 1.000 d[4] 0.097 -0.115 0.155 1.000 ******************************************************************************* Sat Oct 11 04:10:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5097606350e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 3 5.3913933438e-12 -1.24e-03 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39139e-12 rel. change during last iteration : -1.23647e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92537e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.55777e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.113e-08 (5.113e-06%) bb[4] = 1.43934 +/- 1.74e-08 (1.209e-06%) cc[4] = -3.14159 +/- 1.023e-07 (3.256e-06%) dd[4] = -8.93725e-09 +/- 3.639e-08 (407.2%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sat Oct 11 04:10:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 1.0038171398e-02 0.00e+00 7.36e-01 -2.288413e-01 1.439343e+00 -3.141592e+00 -1.957815e-07 5 2.3351326399e-13 -6.93e-01 7.36e-06 -2.114219e-01 1.439343e+00 -3.142477e+00 -1.957840e-07 After 5 iterations the fit converged. final sum of squares of residuals : 2.33513e-13 rel. change during last iteration : -6.93315e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.08815e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.70656e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.211422 +/- 1.065e-08 (5.037e-06%) b[5] = 1.43934 +/- 1.708e-08 (1.187e-06%) c[5] = -3.14248 +/- 1.006e-07 (3.201e-06%) d[5] = -1.95784e-07 +/- 7.572e-09 (3.868%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.013 1.000 c[5] -0.016 -0.868 1.000 d[5] 0.095 -0.113 0.153 1.000 ******************************************************************************* Sat Oct 11 04:10:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.2992244505e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 3 4.8232224642e-12 -1.28e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.82322e-12 rel. change during last iteration : -1.28351e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.76693e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.65591e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.84e-08 (4.84e-06%) bb[5] = 1.43934 +/- 1.641e-08 (1.14e-06%) cc[5] = -3.14159 +/- 9.665e-08 (3.076e-06%) dd[5] = -8.93725e-09 +/- 3.441e-08 (385.1%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sat Oct 11 04:10:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 8.1333637241e-02 0.00e+00 6.82e-01 -2.114219e-01 1.439343e+00 -3.142477e+00 -1.957840e-07 9 1.7937460434e-13 0.00e+00 6.82e+01 -1.618157e-01 1.439343e+00 -3.143727e+00 -2.027803e-07 After 9 iterations the fit converged. final sum of squares of residuals : 1.79375e-13 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.33593e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.84722e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.161816 +/- 9.339e-09 (5.771e-06%) b[6] = 1.43934 +/- 1.951e-08 (1.356e-06%) c[6] = -3.14373 +/- 1.151e-07 (3.662e-06%) d[6] = -2.0278e-07 +/- 6.635e-09 (3.272%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.011 1.000 c[6] -0.017 -0.868 1.000 d[6] 0.093 -0.111 0.152 1.000 ******************************************************************************* Sat Oct 11 04:10:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8598596893e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 3 5.2616879581e-12 -1.83e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.26169e-12 rel. change during last iteration : -1.83394e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88996e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.35189e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.059e-08 (5.059e-06%) bb[6] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[6] = -3.14159 +/- 1.009e-07 (3.21e-06%) dd[6] = -8.93725e-09 +/- 3.593e-08 (402.1%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sat Oct 11 04:10:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 1.8188718819e-01 0.00e+00 5.23e-01 -1.618157e-01 1.439343e+00 -3.143727e+00 -2.027803e-07 5 3.8576844402e-14 -5.00e-01 5.23e-06 -8.757503e-02 1.439343e+00 -3.146744e+00 -2.027806e-07 After 5 iterations the fit converged. final sum of squares of residuals : 3.85768e-14 rel. change during last iteration : -5.00321e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47453e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 6.12331e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.087575 +/- 4.333e-09 (4.948e-06%) b[7] = 1.43934 +/- 1.669e-08 (1.159e-06%) c[7] = -3.14674 +/- 9.86e-08 (3.133e-06%) d[7] = -2.02781e-07 +/- 3.076e-09 (1.517%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.010 1.000 c[7] -0.018 -0.868 1.000 d[7] 0.092 -0.110 0.152 1.000 ******************************************************************************* Sat Oct 11 04:10:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2434955897e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 3 5.1115141470e-12 -5.77e-04 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.11151e-12 rel. change during last iteration : -5.77343e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.84842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.11351e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.989e-08 (4.989e-06%) bb[7] = 1.43934 +/- 1.68e-08 (1.167e-06%) cc[7] = -3.14159 +/- 9.931e-08 (3.161e-06%) dd[7] = -8.93725e-09 +/- 3.541e-08 (396.2%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sat Oct 11 04:10:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 2.5265882519e-01 0.00e+00 2.84e-01 -8.757503e-02 1.439343e+00 -3.146744e+00 -2.027806e-07 16 1.2531734828e-18 -3.09e-06 2.84e-03 -4.882709e-04 1.439343e+00 -4.712803e+00 -2.019571e-07 After 16 iterations the fit converged. final sum of squares of residuals : 1.25317e-18 rel. change during last iteration : -3.08958e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.41038e-10 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98916e-20 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.000488271 +/- 2.441e-11 (4.999e-06%) b[8] = 1.43934 +/- 1.796e-08 (1.248e-06%) c[8] = -4.7128 +/- 1.008e-07 (2.139e-06%) d[8] = -2.01957e-07 +/- 1.762e-11 (0.008723%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.037 1.000 c[8] 0.061 -0.865 1.000 d[8] 0.120 -0.146 0.082 1.000 ******************************************************************************* Sat Oct 11 04:10:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3669933450e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 3 5.2088760060e-12 -3.22e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.20888e-12 rel. change during last iteration : -3.22381e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87542e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.26806e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.04e-08 (5.04e-06%) bb[8] = 1.43934 +/- 1.692e-08 (1.175e-06%) cc[8] = -3.14159 +/- 1.002e-07 (3.188e-06%) dd[8] = -8.93725e-09 +/- 3.574e-08 (399.9%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sat Oct 11 04:10:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.5223439570e-01 0.00e+00 1.62e-03 -4.882709e-04 1.439343e+00 -4.712803e+00 -2.019571e-07 192 2.4619038489e-01 -9.86e-01 1.62e-01 -1.050572e-03 1.364705e+00 -1.755531e+02 -2.018887e-07 After 192 iterations the fit converged. final sum of squares of residuals : 0.24619 rel. change during last iteration : -9.86236e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0625123 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00390778 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.00105057 +/- 0.0111 (1057%) b[9] = 1.36471 +/- 3.513 (257.4%) c[9] = -175.553 +/- 20.13 (11.46%) d[9] = -2.01889e-07 +/- 0.00778 (3.854e+06%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.178 1.000 c[9] 0.168 -0.859 1.000 d[9] -0.093 0.162 -0.179 1.000 ******************************************************************************* Sat Oct 11 04:10:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2467287727e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 3 5.1972899875e-12 -7.46e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.19729e-12 rel. change during last iteration : -7.46266e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87222e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.24967e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.038e-08 (5.038e-06%) bb[9] = 1.43934 +/- 1.685e-08 (1.171e-06%) cc[9] = -3.14159 +/- 9.995e-08 (3.181e-06%) dd[9] = -8.93725e-09 +/- 3.569e-08 (399.3%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sat Oct 11 04:10:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 8.4851002291e-01 0.00e+00 6.55e-02 -1.050572e-03 1.364705e+00 -1.755531e+02 -2.018887e-07 1 8.4851002291e-01 0.00e+00 6.55e+05 -1.050572e-03 1.364705e+00 -1.755531e+02 -2.018887e-07 After 1 iterations the fit converged. final sum of squares of residuals : 0.84851 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.116053 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0134684 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.00105057 +/- 0.02063 (1964%) b[10] = 1.36471 +/- 6.504 (476.6%) c[10] = -175.553 +/- 37.33 (21.27%) d[10] = -2.01889e-07 +/- 0.01444 (7.15e+06%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.179 1.000 c[10] 0.168 -0.859 1.000 d[10] -0.092 0.158 -0.177 1.000 ******************************************************************************* Sat Oct 11 04:10:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.5074377597e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 3 5.4366702931e-12 -6.27e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.43667e-12 rel. change during last iteration : -6.27182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93762e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.62964e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.157e-08 (5.157e-06%) bb[10] = 1.43934 +/- 1.719e-08 (1.195e-06%) cc[10] = -3.14159 +/- 1.021e-07 (3.251e-06%) dd[10] = -8.93725e-09 +/- 3.649e-08 (408.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sat Oct 11 04:10:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.4504914653e+00 0.00e+00 6.55e-02 -1.050572e-03 1.364705e+00 -1.755531e+02 -2.018887e-07 1 1.4504914653e+00 0.00e+00 6.55e+05 -1.050572e-03 1.364705e+00 -1.755531e+02 -2.018887e-07 After 1 iterations the fit converged. final sum of squares of residuals : 1.45049 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151736 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0230237 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.00105057 +/- 0.02699 (2570%) b[11] = 1.36471 +/- 8.479 (621.3%) c[11] = -175.553 +/- 48.77 (27.78%) d[11] = -2.01889e-07 +/- 0.01886 (9.344e+06%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.179 1.000 c[11] 0.169 -0.859 1.000 d[11] -0.091 0.155 -0.175 1.000 ******************************************************************************* Sat Oct 11 04:10:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.4223999585e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 3 5.3885629657e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.38856e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9246e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.55327e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.137e-08 (5.137e-06%) bb[11] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[11] = -3.14159 +/- 1.016e-07 (3.233e-06%) dd[11] = -8.93725e-09 +/- 3.632e-08 (406.4%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sat Oct 11 04:10:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 1.6978220965e+00 0.00e+00 6.56e-02 -1.050572e-03 1.364705e+00 -1.755531e+02 -2.018887e-07 1 1.6978220965e+00 0.00e+00 6.56e+06 -1.050572e-03 1.364705e+00 -1.755531e+02 -2.018887e-07 After 1 iterations the fit converged. final sum of squares of residuals : 1.69782 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.164163 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0269496 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.00105057 +/- 0.02923 (2782%) b[12] = 1.36471 +/- 9.148 (670.3%) c[12] = -175.553 +/- 52.73 (30.04%) d[12] = -2.01889e-07 +/- 0.0204 (1.01e+07%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.180 1.000 c[12] 0.170 -0.859 1.000 d[12] -0.089 0.152 -0.172 1.000 ******************************************************************************* Sat Oct 11 04:10:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.8565881813e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 3 5.6915856609e-12 -1.06e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.69159e-12 rel. change during last iteration : -1.05891e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.00571e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.03426e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.284e-08 (5.284e-06%) bb[12] = 1.43934 +/- 1.75e-08 (1.216e-06%) cc[12] = -3.14159 +/- 1.043e-07 (3.32e-06%) dd[12] = -8.93725e-09 +/- 3.732e-08 (417.6%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sat Oct 11 04:10:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 1.4457523036e+00 0.00e+00 6.56e-02 -1.050572e-03 1.364705e+00 -1.755531e+02 -2.018887e-07 1 1.4457523036e+00 0.00e+00 6.56e+05 -1.050572e-03 1.364705e+00 -1.755531e+02 -2.018887e-07 After 1 iterations the fit converged. final sum of squares of residuals : 1.44575 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.151487 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0229484 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.00105057 +/- 0.027 (2570%) b[13] = 1.36471 +/- 8.418 (616.8%) c[13] = -175.553 +/- 48.62 (27.7%) d[13] = -2.01889e-07 +/- 0.01882 (9.32e+06%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.180 1.000 c[13] 0.170 -0.859 1.000 d[13] -0.088 0.149 -0.170 1.000 ******************************************************************************* Sat Oct 11 04:10:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.7734735119e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 3 5.6586217862e-12 -4.25e-05 3.27e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65862e-12 rel. change during last iteration : -4.25358e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99699e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.98194e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.272e-08 (5.272e-06%) bb[13] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[13] = -3.14159 +/- 1.039e-07 (3.307e-06%) dd[13] = -8.93725e-09 +/- 3.721e-08 (416.3%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sat Oct 11 04:10:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 8.4305807999e-01 0.00e+00 6.57e-02 -1.050572e-03 1.364705e+00 -1.755531e+02 -2.018887e-07 1 8.4305807999e-01 0.00e+00 6.57e+06 -1.050572e-03 1.364705e+00 -1.755531e+02 -2.018887e-07 After 1 iterations the fit converged. final sum of squares of residuals : 0.843058 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11568 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0133819 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.00105057 +/- 0.02063 (1964%) b[14] = 1.36471 +/- 6.411 (469.7%) c[14] = -175.553 +/- 37.11 (21.14%) d[14] = -2.01889e-07 +/- 0.01436 (7.113e+06%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.181 1.000 c[14] 0.171 -0.859 1.000 d[14] -0.086 0.146 -0.168 1.000 ******************************************************************************* Sat Oct 11 04:10:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.5822533402e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 3 5.4604049367e-12 -4.24e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4604e-12 rel. change during last iteration : -4.23709e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94403e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66731e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.182e-08 (5.182e-06%) bb[14] = 1.43934 +/- 1.706e-08 (1.185e-06%) cc[14] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[14] = -8.93725e-09 +/- 3.654e-08 (408.9%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sat Oct 11 04:10:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 2.4394962654e-01 0.00e+00 6.57e-02 -1.050572e-03 1.364705e+00 -1.755531e+02 -2.018887e-07 1 2.4394962654e-01 0.00e+00 6.57e+05 -1.050572e-03 1.364705e+00 -1.755531e+02 -2.018887e-07 After 1 iterations the fit converged. final sum of squares of residuals : 0.24395 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0622271 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00387222 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.00105057 +/- 0.01111 (1057%) b[15] = 1.36471 +/- 3.439 (252%) c[15] = -175.553 +/- 19.95 (11.36%) d[15] = -2.01889e-07 +/- 0.007722 (3.825e+06%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.181 1.000 c[15] 0.172 -0.859 1.000 d[15] -0.085 0.143 -0.165 1.000 ******************************************************************************* Sat Oct 11 04:10:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.5982397834e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 3 5.5591197065e-12 -1.96e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.55912e-12 rel. change during last iteration : -1.95791e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97052e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.824e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.232e-08 (5.232e-06%) bb[15] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[15] = -3.14159 +/- 1.028e-07 (3.273e-06%) dd[15] = -8.93725e-09 +/- 3.686e-08 (412.5%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sat Oct 11 04:10:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 4.1880180931e-05 0.00e+00 6.58e-02 -1.050572e-03 1.364705e+00 -1.755531e+02 -2.018887e-07 9 1.2986820511e-18 -3.42e-04 6.58e-02 -4.881556e-04 1.439343e+00 -1.775004e+02 -2.019493e-07 After 9 iterations the fit converged. final sum of squares of residuals : 1.29868e-18 rel. change during last iteration : -3.4161e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.43576e-10 variance of residuals (reduced chisquare) = WSSR/ndf : 2.0614e-20 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.000488156 +/- 2.542e-11 (5.207e-06%) b[16] = 1.43934 +/- 1.871e-08 (1.3e-06%) c[16] = -177.5 +/- 1.065e-07 (6.001e-08%) d[16] = -2.01949e-07 +/- 1.798e-11 (0.008901%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.202 1.000 c[16] 0.243 -0.872 1.000 d[16] -0.146 0.161 -0.103 1.000 ******************************************************************************* Sat Oct 11 04:10:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.4897325983e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 3 5.3701186431e-12 -1.44e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -8.937248e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.37012e-12 rel. change during last iteration : -1.44483e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91959e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.524e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.146e-08 (5.146e-06%) bb[16] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[16] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[16] = -8.93725e-09 +/- 3.622e-08 (405.3%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sat Oct 11 04:27:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.7408214859e+19 0.00e+00 2.23e+09 -7.323537e+08 1.439342e+00 -1.888507e+00 9.376746e+07 6 2.5955788165e+00 -1.38e-02 2.23e+03 -1.398823e-01 1.444212e+00 -1.895012e+00 1.916218e-01 After 6 iterations the fit converged. final sum of squares of residuals : 2.59558 rel. change during last iteration : -1.38088e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.202977 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0411997 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.139882 +/- 0.03584 (25.62%) b[1] = 1.44421 +/- 0.08339 (5.774%) c[1] = -1.89501 +/- 0.4708 (24.84%) d[1] = 0.191622 +/- 0.02518 (13.14%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] 0.008 1.000 c[1] 0.018 -0.849 1.000 d[1] -0.071 0.082 -0.001 1.000 ******************************************************************************* Sat Oct 11 04:27:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616458e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3444876281e-12 0.00e+00 3.04e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.34449e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.48331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.08e-08 (5.08e-06%) bb[1] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[1] = -3.14159 +/- 1.021e-07 (3.251e-06%) dd[1] = -5.35314e-09 +/- 3.626e-08 (677.4%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sat Oct 11 04:27:15 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 2.5923423616e+00 0.00e+00 4.36e-01 -1.398823e-01 1.444212e+00 -1.895012e+00 1.916218e-01 7 6.3690474000e-03 -4.32e-02 4.36e-08 -3.032257e-01 1.432688e+00 -6.963390e-01 2.164242e-01 After 7 iterations the fit converged. final sum of squares of residuals : 0.00636905 rel. change during last iteration : -4.31564e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0100547 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000101096 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.303226 +/- 0.001704 (0.562%) b[2] = 1.43269 +/- 0.002266 (0.1582%) c[2] = -0.696339 +/- 0.01272 (1.827%) d[2] = 0.216424 +/- 0.00127 (0.5868%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.074 1.000 c[2] 0.060 -0.885 1.000 d[2] -0.158 0.209 -0.191 1.000 ******************************************************************************* Sat Oct 11 04:27:15 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.4054322118e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 3 5.2708441827e-12 -2.53e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27084e-12 rel. change during last iteration : -2.53412e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89248e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36642e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.048e-08 (5.048e-06%) bb[2] = 1.43934 +/- 1.73e-08 (1.202e-06%) cc[2] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[2] = -5.35314e-09 +/- 3.6e-08 (672.5%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sat Oct 11 04:27:15 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.9417077071e-03 0.00e+00 8.55e-01 -3.032257e-01 1.432688e+00 -6.963390e-01 2.164242e-01 2 5.9373167049e-03 -5.32e-01 8.55e-02 -3.031585e-01 1.432420e+00 -6.960222e-01 2.164549e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.00593732 rel. change during last iteration : -5.31927e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00970789 variance of residuals (reduced chisquare) = WSSR/ndf : 9.42431e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.303159 +/- 0.001645 (0.5427%) b[3] = 1.43242 +/- 0.002187 (0.1527%) c[3] = -0.696022 +/- 0.0123 (1.768%) d[3] = 0.216455 +/- 0.001226 (0.5665%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.073 1.000 c[3] 0.059 -0.885 1.000 d[3] -0.157 0.209 -0.192 1.000 ******************************************************************************* Sat Oct 11 04:27:15 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.3067273614e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 3 5.2850806410e-12 -1.09e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28508e-12 rel. change during last iteration : -1.09492e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89638e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.38902e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.059e-08 (5.059e-06%) bb[3] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[3] = -3.14159 +/- 1.014e-07 (3.227e-06%) dd[3] = -5.35314e-09 +/- 3.604e-08 (673.3%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sat Oct 11 04:27:15 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 5.4650275873e-03 0.00e+00 8.56e-01 -3.031585e-01 1.432420e+00 -6.960222e-01 2.164549e-01 3 5.4617677800e-03 -3.50e-03 8.56e-01 -3.029022e-01 1.432240e+00 -6.956278e-01 2.163666e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.00546177 rel. change during last iteration : -3.49878e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.009311 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66947e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.302902 +/- 0.001578 (0.5211%) b[4] = 1.43224 +/- 0.002098 (0.1465%) c[4] = -0.695628 +/- 0.01183 (1.7%) d[4] = 0.216367 +/- 0.001176 (0.5435%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.072 1.000 c[4] 0.058 -0.885 1.000 d[4] -0.157 0.209 -0.193 1.000 ******************************************************************************* Sat Oct 11 04:27:15 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.4622215746e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 3 5.3199804105e-12 -4.83e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31998e-12 rel. change during last iteration : -4.83412e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44441e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.079e-08 (5.079e-06%) bb[4] = 1.43934 +/- 1.728e-08 (1.201e-06%) cc[4] = -3.14159 +/- 1.016e-07 (3.234e-06%) dd[4] = -5.35314e-09 +/- 3.615e-08 (675.3%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sat Oct 11 04:27:15 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 5.0694037721e-03 0.00e+00 8.57e-01 -3.029022e-01 1.432240e+00 -6.956278e-01 2.163666e-01 3 5.0677304894e-03 -1.06e-01 8.57e-04 -3.027145e-01 1.432307e+00 -6.961538e-01 2.163947e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.00506773 rel. change during last iteration : -1.05587e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00896884 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04402e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.302715 +/- 0.001521 (0.5023%) b[5] = 1.43231 +/- 0.00202 (0.141%) c[5] = -0.696154 +/- 0.01141 (1.639%) d[5] = 0.216395 +/- 0.001133 (0.5234%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.072 1.000 c[5] 0.057 -0.886 1.000 d[5] -0.157 0.208 -0.193 1.000 ******************************************************************************* Sat Oct 11 04:27:15 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.6263117400e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 3 5.1032178699e-12 -1.35e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.10322e-12 rel. change during last iteration : -1.35317e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.84611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.10035e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.978e-08 (4.978e-06%) bb[5] = 1.43934 +/- 1.688e-08 (1.173e-06%) cc[5] = -3.14159 +/- 9.942e-08 (3.165e-06%) dd[5] = -5.35314e-09 +/- 3.54e-08 (661.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sat Oct 11 04:27:15 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 4.7678393523e-03 0.00e+00 8.59e-01 -3.027145e-01 1.432307e+00 -6.961538e-01 2.163947e-01 3 4.7623829578e-03 -6.78e-02 8.59e-04 -3.024529e-01 1.432520e+00 -6.964968e-01 2.164053e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.00476238 rel. change during last iteration : -6.78039e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00869445 variance of residuals (reduced chisquare) = WSSR/ndf : 7.55934e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.302453 +/- 0.001474 (0.4875%) b[6] = 1.43252 +/- 0.001957 (0.1366%) c[6] = -0.696497 +/- 0.01108 (1.591%) d[6] = 0.216405 +/- 0.001098 (0.5073%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.072 1.000 c[6] 0.056 -0.886 1.000 d[6] -0.156 0.207 -0.193 1.000 ******************************************************************************* Sat Oct 11 04:27:15 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.2485337785e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 3 5.5461724283e-12 -2.05e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.54617e-12 rel. change during last iteration : -2.04771e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96706e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.80345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.193e-08 (5.193e-06%) bb[6] = 1.43934 +/- 1.755e-08 (1.219e-06%) cc[6] = -3.14159 +/- 1.035e-07 (3.296e-06%) dd[6] = -5.35314e-09 +/- 3.689e-08 (689.2%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sat Oct 11 04:27:16 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 4.4652547681e-03 0.00e+00 8.60e-01 -3.024529e-01 1.432520e+00 -6.964968e-01 2.164053e-01 3 4.4634627724e-03 -1.22e-01 8.60e-04 -3.023972e-01 1.432721e+00 -6.970896e-01 2.164098e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.00446346 rel. change during last iteration : -1.22354e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00841716 variance of residuals (reduced chisquare) = WSSR/ndf : 7.08486e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.302397 +/- 0.001428 (0.4722%) b[7] = 1.43272 +/- 0.001893 (0.1321%) c[7] = -0.69709 +/- 0.01074 (1.541%) d[7] = 0.21641 +/- 0.001062 (0.491%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.071 1.000 c[7] 0.055 -0.886 1.000 d[7] -0.156 0.206 -0.193 1.000 ******************************************************************************* Sat Oct 11 04:27:16 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3128699423e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 3 5.1703487508e-12 -1.23e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.17035e-12 rel. change during last iteration : -1.2319e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.2069e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.018e-08 (5.018e-06%) bb[7] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[7] = -3.14159 +/- 9.988e-08 (3.179e-06%) dd[7] = -5.35314e-09 +/- 3.561e-08 (665.3%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sat Oct 11 04:27:16 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 4.4101189198e-03 0.00e+00 8.62e-01 -3.023972e-01 1.432721e+00 -6.970896e-01 2.164098e-01 3 4.4061818551e-03 -1.21e-01 8.62e-04 -3.024152e-01 1.432996e+00 -6.976602e-01 2.164498e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.00440618 rel. change during last iteration : -1.20841e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00836298 variance of residuals (reduced chisquare) = WSSR/ndf : 6.99394e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.302415 +/- 0.001419 (0.4692%) b[8] = 1.433 +/- 0.001877 (0.131%) c[8] = -0.69766 +/- 0.01068 (1.531%) d[8] = 0.21645 +/- 0.001055 (0.4876%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.071 1.000 c[8] 0.054 -0.886 1.000 d[8] -0.156 0.205 -0.193 1.000 ******************************************************************************* Sat Oct 11 04:27:16 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4818187559e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 3 5.3680960546e-12 -1.04e-03 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.3681e-12 rel. change during last iteration : -1.04289e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91904e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.52079e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.117e-08 (5.117e-06%) bb[8] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.236e-06%) dd[8] = -5.35314e-09 +/- 3.628e-08 (677.7%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sat Oct 11 04:27:16 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 4.4869294342e-03 0.00e+00 8.64e-01 -3.024152e-01 1.432996e+00 -6.976602e-01 2.164498e-01 3 4.4829371989e-03 -5.24e-02 8.64e-04 -3.024835e-01 1.433223e+00 -6.978956e-01 2.165009e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.00448294 rel. change during last iteration : -5.24239e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0084355 variance of residuals (reduced chisquare) = WSSR/ndf : 7.11577e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.302483 +/- 0.001432 (0.4734%) b[9] = 1.43322 +/- 0.00189 (0.1319%) c[9] = -0.697896 +/- 0.01077 (1.544%) d[9] = 0.216501 +/- 0.001064 (0.4916%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.071 1.000 c[9] 0.053 -0.887 1.000 d[9] -0.155 0.204 -0.193 1.000 ******************************************************************************* Sat Oct 11 04:27:16 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.4395191699e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 3 5.4103401263e-12 -1.65e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.41034e-12 rel. change during last iteration : -1.64578e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9305e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.58784e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.141e-08 (5.141e-06%) bb[9] = 1.43934 +/- 1.72e-08 (1.195e-06%) cc[9] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[9] = -5.35314e-09 +/- 3.641e-08 (680.2%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sat Oct 11 04:27:16 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 4.7821681364e-03 0.00e+00 8.67e-01 -3.024835e-01 1.433223e+00 -6.978956e-01 2.165009e-01 3 4.7811711908e-03 -1.06e-02 8.67e-01 -3.025618e-01 1.433121e+00 -6.969249e-01 2.164481e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.00478117 rel. change during last iteration : -1.06417e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00871158 variance of residuals (reduced chisquare) = WSSR/ndf : 7.58916e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.302562 +/- 0.001479 (0.4889%) b[10] = 1.43312 +/- 0.001948 (0.136%) c[10] = -0.696925 +/- 0.01113 (1.597%) d[10] = 0.216448 +/- 0.001099 (0.5077%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.070 1.000 c[10] 0.051 -0.887 1.000 d[10] -0.155 0.203 -0.193 1.000 ******************************************************************************* Sat Oct 11 04:27:16 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.5343473116e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 3 5.4443483935e-12 -2.20e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.44435e-12 rel. change during last iteration : -2.2025e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9397e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.64182e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.16e-08 (5.16e-06%) bb[10] = 1.43934 +/- 1.721e-08 (1.195e-06%) cc[10] = -3.14159 +/- 1.022e-07 (3.253e-06%) dd[10] = -5.35314e-09 +/- 3.652e-08 (682.2%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sat Oct 11 04:27:16 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.2664506031e-03 0.00e+00 8.69e-01 -3.025618e-01 1.433121e+00 -6.969249e-01 2.164481e-01 2 5.2633797132e-03 -2.25e-01 8.69e-02 -3.025800e-01 1.433244e+00 -6.966557e-01 2.164907e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.00526338 rel. change during last iteration : -2.254e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00914033 variance of residuals (reduced chisquare) = WSSR/ndf : 8.35457e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.30258 +/- 0.001552 (0.5131%) b[11] = 1.43324 +/- 0.002041 (0.1424%) c[11] = -0.696656 +/- 0.01169 (1.677%) d[11] = 0.216491 +/- 0.001153 (0.5325%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.069 1.000 c[11] 0.050 -0.887 1.000 d[11] -0.154 0.202 -0.193 1.000 ******************************************************************************* Sat Oct 11 04:27:16 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3879879401e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 3 5.2811542790e-12 0.00e+00 3.26e+03 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28115e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8953e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.38278e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.086e-08 (5.086e-06%) bb[11] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[11] = -3.14159 +/- 1.006e-07 (3.201e-06%) dd[11] = -5.35314e-09 +/- 3.596e-08 (671.8%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sat Oct 11 04:27:17 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.7862453202e-03 0.00e+00 8.71e-01 -3.025800e-01 1.433244e+00 -6.966557e-01 2.164907e-01 2 5.7850754586e-03 -7.83e-01 8.71e-02 -3.025469e-01 1.433220e+00 -6.963516e-01 2.165995e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.00578508 rel. change during last iteration : -7.83153e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00958262 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18266e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.302547 +/- 0.001628 (0.5381%) b[12] = 1.43322 +/- 0.002136 (0.149%) c[12] = -0.696352 +/- 0.01226 (1.76%) d[12] = 0.2166 +/- 0.001208 (0.5579%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.069 1.000 c[12] 0.049 -0.887 1.000 d[12] -0.153 0.201 -0.193 1.000 ******************************************************************************* Sat Oct 11 04:27:17 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.5977927012e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 3 5.4987339901e-12 -2.44e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49873e-12 rel. change during last iteration : -2.43791e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95434e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.72815e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.193e-08 (5.193e-06%) bb[12] = 1.43934 +/- 1.72e-08 (1.195e-06%) cc[12] = -3.14159 +/- 1.025e-07 (3.263e-06%) dd[12] = -5.35314e-09 +/- 3.669e-08 (685.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sat Oct 11 04:27:17 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 6.4293803178e-03 0.00e+00 8.73e-01 -3.025469e-01 1.433220e+00 -6.963516e-01 2.165995e-01 3 6.4282702699e-03 -1.20e-02 8.73e-01 -3.026571e-01 1.433054e+00 -6.954306e-01 2.165116e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.00642827 rel. change during last iteration : -1.20091e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0101013 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000102036 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.302657 +/- 0.001717 (0.5672%) b[13] = 1.43305 +/- 0.002247 (0.1568%) c[13] = -0.695431 +/- 0.01292 (1.858%) d[13] = 0.216512 +/- 0.001274 (0.5882%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.068 1.000 c[13] 0.047 -0.887 1.000 d[13] -0.152 0.201 -0.193 1.000 ******************************************************************************* Sat Oct 11 04:27:17 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.9141105324e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 3 5.7583882986e-12 -3.14e-06 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.75839e-12 rel. change during last iteration : -3.13719e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.02329e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1403e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.318e-08 (5.318e-06%) bb[13] = 1.43934 +/- 1.756e-08 (1.22e-06%) cc[13] = -3.14159 +/- 1.048e-07 (3.336e-06%) dd[13] = -5.35314e-09 +/- 3.753e-08 (701.2%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sat Oct 11 04:27:17 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 6.7631144699e-03 0.00e+00 8.75e-01 -3.026571e-01 1.433054e+00 -6.954306e-01 2.165116e-01 3 6.7598990609e-03 -1.08e-02 8.75e-01 -3.028620e-01 1.432818e+00 -6.944501e-01 2.163989e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0067599 rel. change during last iteration : -1.08215e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0103586 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0001073 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.302862 +/- 0.001761 (0.5814%) b[14] = 1.43282 +/- 0.002299 (0.1605%) c[14] = -0.69445 +/- 0.01325 (1.908%) d[14] = 0.216399 +/- 0.001306 (0.6034%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.067 1.000 c[14] 0.046 -0.888 1.000 d[14] -0.152 0.200 -0.194 1.000 ******************************************************************************* Sat Oct 11 04:27:17 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.5055720474e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 3 5.3697661049e-12 -4.28e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36977e-12 rel. change during last iteration : -4.28368e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91949e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.52344e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.139e-08 (5.139e-06%) bb[14] = 1.43934 +/- 1.692e-08 (1.175e-06%) cc[14] = -3.14159 +/- 1.011e-07 (3.219e-06%) dd[14] = -5.35314e-09 +/- 3.624e-08 (676.9%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sat Oct 11 04:27:17 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 6.9140147622e-03 0.00e+00 8.78e-01 -3.028620e-01 1.432818e+00 -6.944501e-01 2.163989e-01 3 6.9094552419e-03 -1.19e-03 8.78e-01 -3.031500e-01 1.432713e+00 -6.942625e-01 2.162878e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.00690946 rel. change during last iteration : -1.18819e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0104725 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000109674 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.30315 +/- 0.001781 (0.5875%) b[15] = 1.43271 +/- 0.002318 (0.1618%) c[15] = -0.694262 +/- 0.01339 (1.928%) d[15] = 0.216288 +/- 0.00132 (0.6102%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.066 1.000 c[15] 0.045 -0.888 1.000 d[15] -0.151 0.199 -0.194 1.000 ******************************************************************************* Sat Oct 11 04:27:17 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4260221266e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 3 5.3757855600e-12 -2.78e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.37579e-12 rel. change during last iteration : -2.77861e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92113e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53299e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.145e-08 (5.145e-06%) bb[15] = 1.43934 +/- 1.689e-08 (1.173e-06%) cc[15] = -3.14159 +/- 1.011e-07 (3.218e-06%) dd[15] = -5.35314e-09 +/- 3.625e-08 (677.2%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sat Oct 11 04:27:17 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 6.8910382424e-03 0.00e+00 8.81e-01 -3.031500e-01 1.432713e+00 -6.942625e-01 2.162878e-01 3 6.8860000380e-03 -9.58e-02 8.81e-04 -3.034048e-01 1.432681e+00 -6.947753e-01 2.161743e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.006886 rel. change during last iteration : -9.5757e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0104547 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000109302 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.303405 +/- 0.001778 (0.5862%) b[16] = 1.43268 +/- 0.002308 (0.1611%) c[16] = -0.694775 +/- 0.01336 (1.923%) d[16] = 0.216174 +/- 0.001317 (0.6094%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.065 1.000 c[16] 0.043 -0.888 1.000 d[16] -0.150 0.198 -0.194 1.000 ******************************************************************************* Sat Oct 11 04:27:18 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6074001988e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 3 5.5593924937e-12 0.00e+00 3.29e+03 1.000000e+00 1.439343e+00 -3.141593e+00 -5.353144e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.55939e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97059e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82443e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.236e-08 (5.236e-06%) bb[16] = 1.43934 +/- 1.713e-08 (1.19e-06%) cc[16] = -3.14159 +/- 1.027e-07 (3.27e-06%) dd[16] = -5.35314e-09 +/- 3.686e-08 (688.5%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sat Oct 11 04:50:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 6.2884763880e+00 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 4.8850140438e-12 -1.67e-01 2.23e-06 -9.999969e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 After 6 iterations the fit converged. final sum of squares of residuals : 4.88501e-12 rel. change during last iteration : -1.67474e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.7846e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.75399e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.999997 +/- 4.842e-08 (4.842e-06%) b[1] = 1.43934 +/- 1.696e-08 (1.178e-06%) c[1] = -1.5708 +/- 9.455e-08 (6.019e-06%) d[1] = -9.45404e-07 +/- 3.472e-08 (3.672%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.024 1.000 c[1] 0.050 -0.858 1.000 d[1] -0.108 0.132 -0.063 1.000 ******************************************************************************* Sat Oct 11 04:50:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476614133e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2447881230e-12 -2.35e-05 3.04e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.24479e-12 rel. change during last iteration : -2.34923e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88532e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32506e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.032e-08 (5.032e-06%) bb[1] = 1.43934 +/- 1.73e-08 (1.202e-06%) cc[1] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[1] = -7.07967e-09 +/- 3.592e-08 (507.4%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sat Oct 11 04:50:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 5.4338137478e-12 0.00e+00 2.92e+00 -9.999969e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 3 4.9868723923e-12 -4.48e-02 2.92e-03 -9.999968e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 4.98687e-12 rel. change during last iteration : -4.47866e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81348e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.91567e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.999997 +/- 4.888e-08 (4.888e-06%) b[2] = 1.43934 +/- 1.719e-08 (1.194e-06%) c[2] = -1.5708 +/- 9.589e-08 (6.105e-06%) d[2] = -9.45404e-07 +/- 3.509e-08 (3.711%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.025 1.000 c[2] 0.051 -0.859 1.000 d[2] -0.110 0.134 -0.065 1.000 ******************************************************************************* Sat Oct 11 04:50:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5547345565e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 3 5.4432912129e-12 -3.68e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.44329e-12 rel. change during last iteration : -3.67992e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93941e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.64014e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.13e-08 (5.13e-06%) bb[2] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[2] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[2] = -7.07967e-09 +/- 3.658e-08 (516.8%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sat Oct 11 04:50:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.4107577404e-12 0.00e+00 2.92e+00 -9.999968e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 3 5.0872427859e-12 -2.41e-03 2.92e-01 -9.999969e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.08724e-12 rel. change during last iteration : -2.41299e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.84165e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.07499e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.999997 +/- 4.934e-08 (4.934e-06%) b[3] = 1.43934 +/- 1.741e-08 (1.209e-06%) c[3] = -1.5708 +/- 9.723e-08 (6.19e-06%) d[3] = -9.45404e-07 +/- 3.545e-08 (3.749%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.027 1.000 c[3] 0.052 -0.860 1.000 d[3] -0.112 0.136 -0.068 1.000 ******************************************************************************* Sat Oct 11 04:50:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.1285791882e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 3 5.1048810966e-12 -2.11e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.10488e-12 rel. change during last iteration : -2.11056e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.84657e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.10299e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.972e-08 (4.972e-06%) bb[3] = 1.43934 +/- 1.698e-08 (1.179e-06%) cc[3] = -3.14159 +/- 9.963e-08 (3.171e-06%) dd[3] = -7.07967e-09 +/- 3.542e-08 (500.3%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sat Oct 11 04:50:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 5.5388348756e-12 0.00e+00 2.92e+00 -9.999969e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 3 5.0867780319e-12 -1.92e-02 2.92e-03 -9.999968e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.08678e-12 rel. change during last iteration : -1.91666e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.84152e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.07425e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.999997 +/- 4.93e-08 (4.93e-06%) b[4] = 1.43934 +/- 1.746e-08 (1.213e-06%) c[4] = -1.5708 +/- 9.76e-08 (6.214e-06%) d[4] = -9.45404e-07 +/- 3.545e-08 (3.75%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sat Oct 11 04:50:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.3809165008e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 3 5.2933239906e-12 -5.79e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.29332e-12 rel. change during last iteration : -5.79352e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89864e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4021e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.066e-08 (5.066e-06%) bb[4] = 1.43934 +/- 1.724e-08 (1.198e-06%) cc[4] = -3.14159 +/- 1.013e-07 (3.226e-06%) dd[4] = -7.07967e-09 +/- 3.606e-08 (509.3%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sat Oct 11 04:50:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 5.5637312431e-12 0.00e+00 2.92e+00 -9.999968e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 3 4.8982141573e-12 -5.86e-02 2.92e-03 -9.999968e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 4.89821e-12 rel. change during last iteration : -5.86175e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78836e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.77494e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.999997 +/- 4.834e-08 (4.834e-06%) b[5] = 1.43934 +/- 1.718e-08 (1.194e-06%) c[5] = -1.5708 +/- 9.615e-08 (6.121e-06%) d[5] = -9.45404e-07 +/- 3.48e-08 (3.681%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.030 1.000 c[5] 0.054 -0.862 1.000 d[5] -0.115 0.140 -0.074 1.000 ******************************************************************************* Sat Oct 11 04:50:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.5621080346e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 3 5.0868670772e-12 -1.18e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.08687e-12 rel. change during last iteration : -1.17798e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.84155e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.07439e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.97e-08 (4.97e-06%) bb[5] = 1.43934 +/- 1.685e-08 (1.171e-06%) cc[5] = -3.14159 +/- 9.926e-08 (3.159e-06%) dd[5] = -7.07967e-09 +/- 3.534e-08 (499.2%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sat Oct 11 04:50:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 6.1983365268e-12 0.00e+00 2.92e+00 -9.999968e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 3 5.2329717941e-12 -8.35e-03 2.92e-03 -9.999969e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.23297e-12 rel. change during last iteration : -8.35392e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88207e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3063e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.999997 +/- 4.993e-08 (4.993e-06%) b[6] = 1.43934 +/- 1.781e-08 (1.238e-06%) c[6] = -1.5708 +/- 9.977e-08 (6.352e-06%) d[6] = -9.45404e-07 +/- 3.598e-08 (3.806%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.031 1.000 c[6] 0.055 -0.863 1.000 d[6] -0.116 0.142 -0.076 1.000 ******************************************************************************* Sat Oct 11 04:50:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8259852652e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 3 5.1358542354e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13585e-12 rel. change during last iteration : -1.62815e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8552e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.15215e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 4.998e-08 (4.998e-06%) bb[6] = 1.43934 +/- 1.689e-08 (1.173e-06%) cc[6] = -3.14159 +/- 9.964e-08 (3.172e-06%) dd[6] = -7.07967e-09 +/- 3.55e-08 (501.5%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sat Oct 11 04:50:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 5.8005676369e-12 0.00e+00 2.92e+00 -9.999969e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 3 5.3852839737e-12 -4.77e-02 2.92e-03 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.38528e-12 rel. change during last iteration : -4.7698e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92371e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.54807e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.999997 +/- 5.062e-08 (5.062e-06%) b[7] = 1.43934 +/- 1.812e-08 (1.259e-06%) c[7] = -1.5708 +/- 1.016e-07 (6.469e-06%) d[7] = -9.45404e-07 +/- 3.651e-08 (3.862%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.033 1.000 c[7] 0.056 -0.864 1.000 d[7] -0.118 0.144 -0.079 1.000 ******************************************************************************* Sat Oct 11 04:50:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2673460725e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 3 5.2055595822e-12 -8.78e-04 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.20556e-12 rel. change during last iteration : -8.77686e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87451e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.26279e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.035e-08 (5.035e-06%) bb[7] = 1.43934 +/- 1.696e-08 (1.178e-06%) cc[7] = -3.14159 +/- 1.002e-07 (3.19e-06%) dd[7] = -7.07967e-09 +/- 3.573e-08 (504.7%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sat Oct 11 04:50:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.9714682524e-12 0.00e+00 2.93e+00 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 3 4.9148467108e-12 -2.99e-02 2.93e-03 -9.999969e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 4.91485e-12 rel. change during last iteration : -2.9876e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79309e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80134e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.999997 +/- 4.832e-08 (4.832e-06%) b[8] = 1.43934 +/- 1.736e-08 (1.206e-06%) c[8] = -1.5708 +/- 9.746e-08 (6.205e-06%) d[8] = -9.45404e-07 +/- 3.489e-08 (3.69%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.034 1.000 c[8] 0.058 -0.865 1.000 d[8] -0.120 0.146 -0.082 1.000 ******************************************************************************* Sat Oct 11 04:50:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.5339264904e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 3 5.4847648864e-12 -4.67e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48476e-12 rel. change during last iteration : -4.66516e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95059e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70598e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.172e-08 (5.172e-06%) bb[8] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[8] = -3.14159 +/- 1.028e-07 (3.271e-06%) dd[8] = -7.07967e-09 +/- 3.667e-08 (518%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sat Oct 11 04:50:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.8904371877e-12 0.00e+00 2.93e+00 -9.999969e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 3 5.2468287638e-12 -2.00e-02 2.93e-03 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.24683e-12 rel. change during last iteration : -1.99878e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88588e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3283e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.999997 +/- 4.989e-08 (4.989e-06%) b[9] = 1.43934 +/- 1.799e-08 (1.25e-06%) c[9] = -1.5708 +/- 1.011e-07 (6.436e-06%) d[9] = -9.45404e-07 +/- 3.606e-08 (3.814%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.036 1.000 c[9] 0.059 -0.866 1.000 d[9] -0.121 0.148 -0.085 1.000 ******************************************************************************* Sat Oct 11 04:50:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2611878351e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 3 5.2150352069e-12 -1.19e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.21504e-12 rel. change during last iteration : -1.19103e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87712e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.27783e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.047e-08 (5.047e-06%) bb[9] = 1.43934 +/- 1.688e-08 (1.173e-06%) cc[9] = -3.14159 +/- 1.001e-07 (3.187e-06%) dd[9] = -7.07967e-09 +/- 3.575e-08 (505%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sat Oct 11 04:50:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 5.7444669892e-12 0.00e+00 2.93e+00 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 3 5.0273229924e-12 -2.14e-02 2.93e-03 -9.999969e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.02732e-12 rel. change during last iteration : -2.13521e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82487e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97988e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.999997 +/- 4.881e-08 (4.881e-06%) b[10] = 1.43934 +/- 1.767e-08 (1.227e-06%) c[10] = -1.5708 +/- 9.936e-08 (6.325e-06%) d[10] = -9.45404e-07 +/- 3.531e-08 (3.735%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.037 1.000 c[10] 0.060 -0.867 1.000 d[10] -0.123 0.150 -0.087 1.000 ******************************************************************************* Sat Oct 11 04:50:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.5449657581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 3 5.4988771661e-12 -7.75e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49888e-12 rel. change during last iteration : -7.75184e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95438e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.72838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.186e-08 (5.186e-06%) bb[10] = 1.43934 +/- 1.729e-08 (1.201e-06%) cc[10] = -3.14159 +/- 1.027e-07 (3.269e-06%) dd[10] = -7.07967e-09 +/- 3.67e-08 (518.4%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sat Oct 11 04:50:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 6.0088783416e-12 0.00e+00 2.93e+00 -9.999969e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 3 5.1918957030e-12 -1.79e-02 2.93e-03 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.1919e-12 rel. change during last iteration : -1.78771e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.2411e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.999997 +/- 4.957e-08 (4.957e-06%) b[11] = 1.43934 +/- 1.801e-08 (1.251e-06%) c[11] = -1.5708 +/- 1.014e-07 (6.454e-06%) d[11] = -9.45404e-07 +/- 3.589e-08 (3.796%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.039 1.000 c[11] 0.061 -0.867 1.000 d[11] -0.124 0.152 -0.090 1.000 ******************************************************************************* Sat Oct 11 04:50:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2543735188e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 3 5.1708158050e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.17082e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8649e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.20764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.033e-08 (5.033e-06%) bb[11] = 1.43934 +/- 1.673e-08 (1.162e-06%) cc[11] = -3.14159 +/- 9.951e-08 (3.167e-06%) dd[11] = -7.07967e-09 +/- 3.558e-08 (502.6%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sat Oct 11 04:50:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.5103807624e-12 0.00e+00 2.93e+00 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 3 5.1656458544e-12 -1.21e-02 2.93e-03 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.16565e-12 rel. change during last iteration : -1.21035e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86347e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.19944e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.999997 +/- 4.941e-08 (4.941e-06%) b[12] = 1.43934 +/- 1.801e-08 (1.251e-06%) c[12] = -1.5708 +/- 1.015e-07 (6.463e-06%) d[12] = -9.45404e-07 +/- 3.581e-08 (3.788%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.040 1.000 c[12] 0.062 -0.868 1.000 d[12] -0.126 0.153 -0.093 1.000 ******************************************************************************* Sat Oct 11 04:50:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 6.0838948314e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 3 5.8753818549e-12 -3.88e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.87538e-12 rel. change during last iteration : -3.88003e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.05385e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.326e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.368e-08 (5.368e-06%) bb[12] = 1.43934 +/- 1.778e-08 (1.236e-06%) cc[12] = -3.14159 +/- 1.06e-07 (3.373e-06%) dd[12] = -7.07967e-09 +/- 3.792e-08 (535.6%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sat Oct 11 04:50:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 5.7433790250e-12 0.00e+00 2.93e+00 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 3 5.1483495869e-12 -2.16e-02 2.93e-03 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.14835e-12 rel. change during last iteration : -2.16018e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85867e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.999997 +/- 4.929e-08 (4.929e-06%) b[13] = 1.43934 +/- 1.803e-08 (1.253e-06%) c[13] = -1.5708 +/- 1.018e-07 (6.479e-06%) d[13] = -9.45404e-07 +/- 3.576e-08 (3.782%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.042 1.000 c[13] 0.063 -0.869 1.000 d[13] -0.127 0.155 -0.095 1.000 ******************************************************************************* Sat Oct 11 04:50:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.3384258544e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 3 5.2078052128e-12 -5.97e-05 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.20781e-12 rel. change during last iteration : -5.96623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87513e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.26636e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.058e-08 (5.058e-06%) bb[13] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[13] = -3.14159 +/- 9.968e-08 (3.173e-06%) dd[13] = -7.07967e-09 +/- 3.569e-08 (504.2%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sat Oct 11 04:50:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 5.6280469050e-12 0.00e+00 2.93e+00 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 3 5.2385368097e-12 -1.79e-03 2.93e-03 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.23854e-12 rel. change during last iteration : -1.78764e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8836e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.31514e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.999997 +/- 4.969e-08 (4.969e-06%) b[14] = 1.43934 +/- 1.824e-08 (1.268e-06%) c[14] = -1.5708 +/- 1.031e-07 (6.562e-06%) d[14] = -9.45404e-07 +/- 3.608e-08 (3.817%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.043 1.000 c[14] 0.064 -0.870 1.000 d[14] -0.128 0.157 -0.098 1.000 ******************************************************************************* Sat Oct 11 04:50:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6433414251e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 3 5.4889380278e-12 -5.75e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48894e-12 rel. change during last iteration : -5.75292e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95171e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.7126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.196e-08 (5.196e-06%) bb[14] = 1.43934 +/- 1.711e-08 (1.188e-06%) cc[14] = -3.14159 +/- 1.022e-07 (3.255e-06%) dd[14] = -7.07967e-09 +/- 3.664e-08 (517.5%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sat Oct 11 04:50:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.5247548045e-12 0.00e+00 2.93e+00 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 3 5.1045529596e-12 -4.84e-02 2.93e-03 -9.999969e-01 1.439343e+00 -1.570795e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.10455e-12 rel. change during last iteration : -4.84072e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.84648e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.10247e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.999997 +/- 4.902e-08 (4.902e-06%) b[15] = 1.43934 +/- 1.806e-08 (1.255e-06%) c[15] = -1.5708 +/- 1.022e-07 (6.503e-06%) d[15] = -9.45404e-07 +/- 3.563e-08 (3.768%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.045 1.000 c[15] 0.065 -0.871 1.000 d[15] -0.130 0.159 -0.101 1.000 ******************************************************************************* Sat Oct 11 04:50:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.5811120025e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 3 5.5072003424e-12 -3.87e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5072e-12 rel. change during last iteration : -3.86662e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95662e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.74159e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.208e-08 (5.208e-06%) bb[15] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[15] = -3.14159 +/- 1.023e-07 (3.257e-06%) dd[15] = -7.07967e-09 +/- 3.669e-08 (518.3%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sat Oct 11 04:50:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 1.1706455395e-10 0.00e+00 2.93e+00 -9.999969e-01 1.439343e+00 -1.570795e+00 -9.454035e-07 4 5.0411498530e-12 -2.70e-06 2.93e+00 -9.999968e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 After 4 iterations the fit converged. final sum of squares of residuals : 5.04115e-12 rel. change during last iteration : -2.70318e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82875e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.00183e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.999997 +/- 4.868e-08 (4.868e-06%) b[16] = 1.43934 +/- 1.8e-08 (1.251e-06%) c[16] = -1.5708 +/- 1.019e-07 (6.489e-06%) d[16] = -9.45404e-07 +/- 3.542e-08 (3.746%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.046 1.000 c[16] 0.066 -0.872 1.000 d[16] -0.131 0.161 -0.103 1.000 ******************************************************************************* Sat Oct 11 04:50:25 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5858813295e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 3 5.5328874731e-12 -1.77e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079667e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.53289e-12 rel. change during last iteration : -1.76776e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9635e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.78236e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.224e-08 (5.224e-06%) bb[16] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[16] = -3.14159 +/- 1.025e-07 (3.262e-06%) dd[16] = -7.07967e-09 +/- 3.677e-08 (519.4%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sat Oct 11 04:55:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 2.9934320040e-01 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 13 1.0874837362e-14 -2.24e-04 2.23e-11 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 After 13 iterations the fit converged. final sum of squares of residuals : 1.08748e-14 rel. change during last iteration : -2.2436e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.31384e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.72616e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.0445274 +/- 2.292e-09 (5.148e-06%) b[1] = 1.43934 +/- 1.768e-08 (1.228e-06%) c[1] = 6.28833 +/- 1.034e-07 (1.644e-06%) d[1] = 9.75253e-09 +/- 1.636e-09 (16.77%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.009 1.000 c[1] -0.021 -0.868 1.000 d[1] -0.100 0.121 -0.157 1.000 ******************************************************************************* Sat Oct 11 04:55:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476617163e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2271758395e-12 -1.92e-05 3.04e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.22718e-12 rel. change during last iteration : -1.92192e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88047e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.2971e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.024e-08 (5.024e-06%) bb[1] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[1] = -3.14159 +/- 1.01e-07 (3.215e-06%) dd[1] = -2.12928e-09 +/- 3.586e-08 (1684%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sat Oct 11 04:55:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 4.7469713668e-02 0.00e+00 1.66e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 3.6053949940e-14 -5.54e-04 1.66e-07 -8.227505e-02 1.439343e+00 6.285318e+00 9.752483e-09 After 6 iterations the fit converged. final sum of squares of residuals : 3.60539e-14 rel. change during last iteration : -5.54165e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39225e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.72285e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.0822751 +/- 4.176e-09 (5.076e-06%) b[2] = 1.43934 +/- 1.738e-08 (1.208e-06%) c[2] = 6.28532 +/- 1.018e-07 (1.62e-06%) d[2] = 9.75248e-09 +/- 2.977e-09 (30.53%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.008 1.000 c[2] -0.022 -0.868 1.000 d[2] -0.098 0.119 -0.157 1.000 ******************************************************************************* Sat Oct 11 04:55:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.4363641752e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 3 5.3157162774e-12 -3.35e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31572e-12 rel. change during last iteration : -3.35186e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.07e-08 (5.07e-06%) bb[2] = 1.43934 +/- 1.737e-08 (1.207e-06%) cc[2] = -3.14159 +/- 1.018e-07 (3.239e-06%) dd[2] = -2.12928e-09 +/- 3.615e-08 (1698%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sat Oct 11 04:55:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 2.1160006049e-02 0.00e+00 3.08e-01 -8.227505e-02 1.439343e+00 6.285318e+00 9.752483e-09 5 6.4157857713e-14 -1.63e-01 3.08e-06 -1.074973e-01 1.439343e+00 6.284069e+00 9.752461e-09 After 5 iterations the fit converged. final sum of squares of residuals : 6.41579e-14 rel. change during last iteration : -1.62695e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.1912e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.01838e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.107497 +/- 5.575e-09 (5.186e-06%) b[3] = 1.43934 +/- 1.77e-08 (1.23e-06%) c[3] = 6.28407 +/- 1.039e-07 (1.653e-06%) d[3] = 9.75246e-09 +/- 3.971e-09 (40.72%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.007 1.000 c[3] -0.023 -0.868 1.000 d[3] -0.097 0.117 -0.156 1.000 ******************************************************************************* Sat Oct 11 04:55:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.0842989775e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 3 5.0512193730e-12 -1.56e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.05122e-12 rel. change during last iteration : -1.55972e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83157e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01781e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.946e-08 (4.946e-06%) bb[3] = 1.43934 +/- 1.689e-08 (1.173e-06%) cc[3] = -3.14159 +/- 9.91e-08 (3.154e-06%) dd[3] = -2.12928e-09 +/- 3.523e-08 (1655%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sat Oct 11 04:55:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 2.6073933377e-03 0.00e+00 4.03e-01 -1.074973e-01 1.439343e+00 6.284069e+00 9.752461e-09 5 9.0281217382e-14 -6.70e-04 4.03e-06 -1.163542e-01 1.439343e+00 6.283186e+00 9.752456e-09 After 5 iterations the fit converged. final sum of squares of residuals : 9.02812e-14 rel. change during last iteration : -6.70188e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.78555e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.43304e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.116354 +/- 6.618e-09 (5.688e-06%) b[4] = 1.43934 +/- 1.935e-08 (1.344e-06%) c[4] = 6.28319 +/- 1.138e-07 (1.81e-06%) d[4] = 9.75246e-09 +/- 4.709e-09 (48.29%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.006 1.000 c[4] -0.024 -0.868 1.000 d[4] -0.095 0.115 -0.155 1.000 ******************************************************************************* Sat Oct 11 04:55:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5894738110e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 3 5.4558489373e-12 -7.06e-05 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.45585e-12 rel. change during last iteration : -7.06232e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9428e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66008e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.144e-08 (5.144e-06%) bb[4] = 1.43934 +/- 1.75e-08 (1.216e-06%) cc[4] = -3.14159 +/- 1.029e-07 (3.275e-06%) dd[4] = -2.12928e-09 +/- 3.661e-08 (1719%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sat Oct 11 04:55:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.5951098061e-03 0.00e+00 4.37e-01 -1.163542e-01 1.439343e+00 6.283186e+00 9.752456e-09 5 7.3302494742e-14 0.00e+00 4.37e+01 -1.074973e-01 1.439343e+00 6.282302e+00 9.752456e-09 After 5 iterations the fit converged. final sum of squares of residuals : 7.33025e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.41106e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16353e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.107497 +/- 5.967e-09 (5.551e-06%) b[5] = 1.43934 +/- 1.882e-08 (1.308e-06%) c[5] = 6.2823 +/- 1.109e-07 (1.765e-06%) d[5] = 9.75246e-09 +/- 4.242e-09 (43.5%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.004 1.000 c[5] -0.025 -0.868 1.000 d[5] -0.094 0.113 -0.153 1.000 ******************************************************************************* Sat Oct 11 04:55:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4205861659e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 3 4.9021954756e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.9022e-12 rel. change during last iteration : -1.47988e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78949e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.879e-08 (4.879e-06%) bb[5] = 1.43934 +/- 1.654e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.744e-08 (3.102e-06%) dd[5] = -2.12928e-09 +/- 3.469e-08 (1629%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sat Oct 11 04:55:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 2.1026582032e-02 0.00e+00 4.04e-01 -1.074973e-01 1.439343e+00 6.282302e+00 9.752456e-09 5 3.7403526641e-14 -5.54e-02 4.04e-06 -8.227497e-02 1.439343e+00 6.281053e+00 9.752457e-09 After 5 iterations the fit converged. final sum of squares of residuals : 3.74035e-14 rel. change during last iteration : -5.53662e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.43661e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.93707e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.082275 +/- 4.265e-09 (5.184e-06%) b[6] = 1.43934 +/- 1.753e-08 (1.218e-06%) c[6] = 6.28105 +/- 1.034e-07 (1.646e-06%) d[6] = 9.75246e-09 +/- 3.03e-09 (31.07%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.003 1.000 c[6] -0.026 -0.868 1.000 d[6] -0.092 0.111 -0.152 1.000 ******************************************************************************* Sat Oct 11 04:55:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.0270457406e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 3 5.2946533040e-12 -2.18e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.29465e-12 rel. change during last iteration : -2.18137e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.899e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.40421e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.074e-08 (5.074e-06%) bb[6] = 1.43934 +/- 1.715e-08 (1.191e-06%) cc[6] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[6] = -2.12928e-09 +/- 3.605e-08 (1693%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sat Oct 11 04:55:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 4.7021608814e-02 0.00e+00 3.10e-01 -8.227497e-02 1.439343e+00 6.281053e+00 9.752457e-09 6 1.0532830296e-14 -9.09e-04 3.10e-07 -4.452733e-02 1.439343e+00 6.278037e+00 9.752434e-09 After 6 iterations the fit converged. final sum of squares of residuals : 1.05328e-14 rel. change during last iteration : -9.09334e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.29301e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.67188e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.0445273 +/- 2.265e-09 (5.086e-06%) b[7] = 1.43934 +/- 1.715e-08 (1.191e-06%) c[7] = 6.27804 +/- 1.013e-07 (1.614e-06%) d[7] = 9.75243e-09 +/- 1.608e-09 (16.48%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.002 1.000 c[7] -0.027 -0.868 1.000 d[7] -0.091 0.110 -0.152 1.000 ******************************************************************************* Sat Oct 11 04:55:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3188609937e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 3 5.1805161532e-12 -2.14e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.18052e-12 rel. change during last iteration : -2.14316e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86758e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22304e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.023e-08 (5.023e-06%) bb[7] = 1.43934 +/- 1.692e-08 (1.175e-06%) cc[7] = -3.14159 +/- 9.997e-08 (3.182e-06%) dd[7] = -2.12928e-09 +/- 3.565e-08 (1674%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sat Oct 11 04:55:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 6.5317153477e-02 0.00e+00 1.68e-01 -4.452733e-02 1.439343e+00 6.278037e+00 9.752434e-09 11 1.9970613891e-06 -4.38e-01 1.68e-05 5.465973e-05 2.323746e+00 1.919404e+01 9.731714e-09 After 11 iterations the fit converged. final sum of squares of residuals : 1.99706e-06 rel. change during last iteration : -4.37742e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000178043 variance of residuals (reduced chisquare) = WSSR/ndf : 3.16994e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 5.46597e-05 +/- 3.113e-05 (56.95%) b[8] = 2.32375 +/- 0.192 (8.261%) c[8] = 19.194 +/- 1.104 (5.752%) d[8] = 9.73171e-09 +/- 2.2e-05 (2.261e+05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.004 1.000 c[8] 0.030 -0.862 1.000 d[8] 0.085 -0.110 0.125 1.000 ******************************************************************************* Sat Oct 11 04:55:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3527318614e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 3 5.2242302618e-12 -5.59e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22423e-12 rel. change during last iteration : -5.58684e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87966e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29243e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.048e-08 (5.048e-06%) bb[8] = 1.43934 +/- 1.694e-08 (1.177e-06%) cc[8] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[8] = -2.12928e-09 +/- 3.579e-08 (1681%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sat Oct 11 04:55:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 6.5163462867e-02 0.00e+00 4.56e-04 5.465973e-05 2.323746e+00 1.919404e+01 9.731714e-09 7 6.5149746834e-02 -9.89e-01 4.56e-02 4.995347e-05 2.357371e-01 -8.504609e+01 9.732546e-09 After 7 iterations the fit converged. final sum of squares of residuals : 0.0651497 rel. change during last iteration : -9.88949e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0321578 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00103412 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 4.99535e-05 +/- 0.06325 (1.266e+05%) b[9] = 0.235737 +/- 277.9 (1.179e+05%) c[9] = -85.0461 +/- 868.9 (1022%) d[9] = 9.73255e-09 +/- 0.06369 (6.544e+08%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.976 1.000 c[9] 0.819 -0.914 1.000 d[9] 0.993 -0.964 0.779 1.000 ******************************************************************************* Sat Oct 11 04:55:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.1066223575e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 3 5.0456432770e-12 -1.91e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.04564e-12 rel. change during last iteration : -1.90868e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83001e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.00896e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.964e-08 (4.964e-06%) bb[9] = 1.43934 +/- 1.661e-08 (1.154e-06%) cc[9] = -3.14159 +/- 9.848e-08 (3.135e-06%) dd[9] = -2.12928e-09 +/- 3.516e-08 (1651%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sat Oct 11 04:55:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 2.2214006202e-01 0.00e+00 1.56e-03 4.995347e-05 2.357371e-01 -8.504609e+01 9.732546e-09 1 2.2213896236e-01 -4.95e-01 1.56e-01 4.995369e-05 2.357409e-01 -8.500469e+01 9.732546e-09 After 1 iterations the fit converged. final sum of squares of residuals : 0.222139 rel. change during last iteration : -4.95031e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0593803 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00352602 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 4.99537e-05 +/- 0.1088 (2.179e+05%) b[10] = 0.235741 +/- 498.7 (2.116e+05%) c[10] = -85.0047 +/- 1612 (1897%) d[10] = 9.73255e-09 +/- 0.1079 (1.108e+09%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.974 1.000 c[10] 0.811 -0.910 1.000 d[10] 0.990 -0.957 0.757 1.000 ******************************************************************************* Sat Oct 11 04:55:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6941681926e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 3 5.6433158247e-12 -1.54e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64332e-12 rel. change during last iteration : -1.5424e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99293e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.254e-08 (5.254e-06%) bb[10] = 1.43934 +/- 1.752e-08 (1.217e-06%) cc[10] = -3.14159 +/- 1.04e-07 (3.312e-06%) dd[10] = -2.12928e-09 +/- 3.718e-08 (1746%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sat Oct 11 04:55:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 3.7861293391e-01 0.00e+00 1.58e-03 4.995369e-05 2.357409e-01 -8.500469e+01 9.732546e-09 2 3.7808732458e-01 0.00e+00 1.58e+04 4.102266e-04 2.251858e+00 9.318682e+01 9.734850e-09 After 2 iterations the fit converged. final sum of squares of residuals : 0.378087 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0774686 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00600139 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.000410227 +/- 0.01346 (3282%) b[11] = 2.25186 +/- 11.4 (506.1%) c[11] = 93.1868 +/- 67.87 (72.83%) d[11] = 9.73485e-09 +/- 0.009547 (9.807e+07%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.080 1.000 c[11] 0.078 -0.875 1.000 d[11] -0.084 0.045 0.005 1.000 ******************************************************************************* Sat Oct 11 04:55:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3203492999e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 3 5.2515293484e-12 0.00e+00 3.26e+03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25153e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88717e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33576e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.072e-08 (5.072e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.192e-06%) dd[11] = -2.12928e-09 +/- 3.586e-08 (1684%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sat Oct 11 04:55:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 4.4227845177e-01 0.00e+00 1.36e-02 4.102266e-04 2.251858e+00 9.318682e+01 9.734850e-09 1 4.4227482151e-01 -8.21e-01 1.36e-01 4.102923e-04 2.254314e+00 9.312931e+01 9.734850e-09 After 1 iterations the fit converged. final sum of squares of residuals : 0.442275 rel. change during last iteration : -8.20816e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0837868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00702024 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.000410292 +/- 0.01457 (3550%) b[12] = 2.25431 +/- 12.3 (545.7%) c[12] = 93.1293 +/- 73.35 (78.76%) d[12] = 9.73485e-09 +/- 0.01033 (1.061e+08%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.077 1.000 c[12] 0.075 -0.875 1.000 d[12] -0.086 0.048 0.002 1.000 ******************************************************************************* Sat Oct 11 04:55:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.6462478388e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 3 5.4471200263e-12 -2.79e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.44712e-12 rel. change during last iteration : -2.78595e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94045e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.64622e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.169e-08 (5.169e-06%) bb[12] = 1.43934 +/- 1.712e-08 (1.19e-06%) cc[12] = -3.14159 +/- 1.02e-07 (3.248e-06%) dd[12] = -2.12928e-09 +/- 3.651e-08 (1715%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sat Oct 11 04:55:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 3.7684840365e-01 0.00e+00 1.36e-02 4.102923e-04 2.254314e+00 9.312931e+01 9.734850e-09 2 3.7684063468e-01 -9.73e-01 1.36e-01 4.104145e-04 2.258943e+00 9.311847e+01 9.734850e-09 After 2 iterations the fit converged. final sum of squares of residuals : 0.376841 rel. change during last iteration : -9.72906e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0773408 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0059816 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.000410414 +/- 0.01343 (3273%) b[13] = 2.25894 +/- 11.39 (504%) c[13] = 93.1185 +/- 67.87 (72.89%) d[13] = 9.73485e-09 +/- 0.009532 (9.791e+07%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.081 1.000 c[13] 0.078 -0.875 1.000 d[13] -0.083 0.049 0.001 1.000 ******************************************************************************* Sat Oct 11 04:55:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5718873154e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 3 5.4303035515e-12 0.00e+00 3.27e+03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4303e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9359e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.61953e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.164e-08 (5.164e-06%) bb[13] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[13] = -3.14159 +/- 1.018e-07 (3.24e-06%) dd[13] = -2.12928e-09 +/- 3.645e-08 (1712%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sat Oct 11 04:55:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 2.2030274862e-01 0.00e+00 1.36e-02 4.104145e-04 2.258943e+00 9.311847e+01 9.734850e-09 3 2.2026336085e-01 -1.43e-01 1.36e-01 4.151982e-04 2.429181e+00 9.244261e+01 9.734852e-09 After 3 iterations the fit converged. final sum of squares of residuals : 0.220263 rel. change during last iteration : -1.43289e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.059129 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00349624 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.000415198 +/- 0.01015 (2445%) b[14] = 2.42918 +/- 8.784 (361.6%) c[14] = 92.4426 +/- 49.88 (53.96%) d[14] = 9.73485e-09 +/- 0.007268 (7.466e+07%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.045 1.000 c[14] 0.048 -0.867 1.000 d[14] -0.028 0.098 -0.064 1.000 ******************************************************************************* Sat Oct 11 04:55:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4814373968e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 3 5.3424698232e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.34247e-12 rel. change during last iteration : -4.54113e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91206e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.48011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.126e-08 (5.126e-06%) bb[14] = 1.43934 +/- 1.688e-08 (1.172e-06%) cc[14] = -3.14159 +/- 1.009e-07 (3.211e-06%) dd[14] = -2.12928e-09 +/- 3.615e-08 (1698%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sat Oct 11 04:55:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 6.4314392006e-02 0.00e+00 1.36e-02 4.151982e-04 2.429181e+00 9.244261e+01 9.734852e-09 29 6.3468227839e-02 -9.71e-01 1.36e+00 6.975374e-04 1.807746e+00 9.878731e+01 9.734943e-09 After 29 iterations the fit converged. final sum of squares of residuals : 0.0634682 rel. change during last iteration : -9.71263e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0317401 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00100743 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.000697537 +/- 0.005423 (777.5%) b[15] = 1.80775 +/- 2.849 (157.6%) c[15] = 98.7873 +/- 16.06 (16.26%) d[15] = 9.73494e-09 +/- 0.003912 (4.019e+07%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.035 1.000 c[15] 0.039 -0.867 1.000 d[15] -0.029 0.118 -0.075 1.000 ******************************************************************************* Sat Oct 11 04:55:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.3709802998e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 3 5.3318997453e-12 -2.56e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.3319e-12 rel. change during last iteration : -2.55607e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90918e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46333e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.124e-08 (5.124e-06%) bb[15] = 1.43934 +/- 1.682e-08 (1.168e-06%) cc[15] = -3.14159 +/- 1.007e-07 (3.205e-06%) dd[15] = -2.12928e-09 +/- 3.61e-08 (1696%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sat Oct 11 04:55:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 1.9895062986e-05 0.00e+00 2.41e-02 6.975374e-04 1.807746e+00 9.878731e+01 9.734943e-09 72 3.7062950301e-19 -1.92e-04 2.41e-05 2.480852e-04 1.439343e+00 9.896013e+01 9.236510e-09 After 72 iterations the fit converged. final sum of squares of residuals : 3.7063e-19 rel. change during last iteration : -1.91812e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.67008e-11 variance of residuals (reduced chisquare) = WSSR/ndf : 5.88301e-21 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = 0.000248085 +/- 1.318e-11 (5.313e-06%) b[16] = 1.43934 +/- 1.967e-08 (1.367e-06%) c[16] = 98.9601 +/- 1.116e-07 (1.128e-07%) d[16] = 9.23651e-09 +/- 9.603e-12 (0.104%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.046 1.000 c[16] 0.040 -0.872 1.000 d[16] -0.121 -0.161 0.103 1.000 ******************************************************************************* Sat Oct 11 04:55:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5658313915e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 3 5.5065871081e-12 -2.04e-06 3.29e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129282e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.50659e-12 rel. change during last iteration : -2.04072e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95645e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.74061e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.211e-08 (5.211e-06%) bb[16] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[16] = -3.14159 +/- 1.022e-07 (3.254e-06%) dd[16] = -2.12928e-09 +/- 3.668e-08 (1723%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Oct 12 08:26:20 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 2.9934320040e-01 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 13 1.0874837362e-14 -3.19e-04 2.23e-11 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 After 13 iterations the fit converged. final sum of squares of residuals : 1.08748e-14 rel. change during last iteration : -3.19183e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.31384e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.72616e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.0445274 +/- 2.292e-09 (5.148e-06%) b[1] = 1.43934 +/- 1.768e-08 (1.228e-06%) c[1] = 6.28833 +/- 1.034e-07 (1.644e-06%) d[1] = 9.75253e-09 +/- 1.636e-09 (16.77%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.009 1.000 c[1] -0.021 -0.868 1.000 d[1] -0.100 0.121 -0.157 1.000 ******************************************************************************* Sun Oct 12 08:26:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476617163e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2271758368e-12 -7.94e-05 3.04e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.22718e-12 rel. change during last iteration : -7.94285e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88047e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.2971e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.024e-08 (5.024e-06%) bb[1] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[1] = -3.14159 +/- 1.01e-07 (3.215e-06%) dd[1] = -2.12939e-09 +/- 3.586e-08 (1684%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Oct 12 08:26:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 4.7469713668e-02 0.00e+00 1.66e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 3.6053949941e-14 -5.57e-04 1.66e-07 -8.227505e-02 1.439343e+00 6.285318e+00 9.752483e-09 After 6 iterations the fit converged. final sum of squares of residuals : 3.60539e-14 rel. change during last iteration : -5.57061e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39225e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.72285e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.0822751 +/- 4.176e-09 (5.076e-06%) b[2] = 1.43934 +/- 1.738e-08 (1.208e-06%) c[2] = 6.28532 +/- 1.018e-07 (1.62e-06%) d[2] = 9.75248e-09 +/- 2.977e-09 (30.53%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.008 1.000 c[2] -0.022 -0.868 1.000 d[2] -0.098 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 08:26:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.4363642721e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3157163774e-12 -3.30e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31572e-12 rel. change during last iteration : -3.3018e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43765e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.07e-08 (5.07e-06%) bb[2] = 1.43934 +/- 1.737e-08 (1.207e-06%) cc[2] = -3.14159 +/- 1.018e-07 (3.239e-06%) dd[2] = -2.12939e-09 +/- 3.615e-08 (1698%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 08:26:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 2.1160006049e-02 0.00e+00 3.08e-01 -8.227505e-02 1.439343e+00 6.285318e+00 9.752483e-09 5 6.4157857723e-14 -1.63e-01 3.08e-06 -1.074973e-01 1.439343e+00 6.284069e+00 9.752461e-09 After 5 iterations the fit converged. final sum of squares of residuals : 6.41579e-14 rel. change during last iteration : -1.62692e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.1912e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.01838e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.107497 +/- 5.575e-09 (5.186e-06%) b[3] = 1.43934 +/- 1.77e-08 (1.23e-06%) c[3] = 6.28407 +/- 1.039e-07 (1.653e-06%) d[3] = 9.75246e-09 +/- 3.971e-09 (40.72%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.007 1.000 c[3] -0.023 -0.868 1.000 d[3] -0.097 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 08:26:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.0842988254e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.0512192199e-12 -1.62e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.05122e-12 rel. change during last iteration : -1.62255e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83157e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01781e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.946e-08 (4.946e-06%) bb[3] = 1.43934 +/- 1.689e-08 (1.173e-06%) cc[3] = -3.14159 +/- 9.91e-08 (3.154e-06%) dd[3] = -2.12939e-09 +/- 3.523e-08 (1655%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 08:26:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 2.6073933377e-03 0.00e+00 4.03e-01 -1.074973e-01 1.439343e+00 6.284069e+00 9.752461e-09 5 9.0281217386e-14 -6.69e-04 4.03e-06 -1.163542e-01 1.439343e+00 6.283186e+00 9.752456e-09 After 5 iterations the fit converged. final sum of squares of residuals : 9.02812e-14 rel. change during last iteration : -6.69471e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.78555e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.43304e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.116354 +/- 6.618e-09 (5.688e-06%) b[4] = 1.43934 +/- 1.935e-08 (1.344e-06%) c[4] = 6.28319 +/- 1.138e-07 (1.81e-06%) d[4] = 9.75246e-09 +/- 4.709e-09 (48.29%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.006 1.000 c[4] -0.024 -0.868 1.000 d[4] -0.095 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 08:26:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5894738806e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.4558490001e-12 -1.96e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.45585e-12 rel. change during last iteration : -1.96287e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9428e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66008e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.144e-08 (5.144e-06%) bb[4] = 1.43934 +/- 1.75e-08 (1.216e-06%) cc[4] = -3.14159 +/- 1.029e-07 (3.275e-06%) dd[4] = -2.12939e-09 +/- 3.661e-08 (1719%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 08:26:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.5951098061e-03 0.00e+00 4.37e-01 -1.163542e-01 1.439343e+00 6.283186e+00 9.752456e-09 5 7.3302494739e-14 0.00e+00 4.37e+01 -1.074973e-01 1.439343e+00 6.282302e+00 9.752456e-09 After 5 iterations the fit converged. final sum of squares of residuals : 7.33025e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.41106e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16353e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.107497 +/- 5.967e-09 (5.551e-06%) b[5] = 1.43934 +/- 1.882e-08 (1.308e-06%) c[5] = 6.2823 +/- 1.109e-07 (1.765e-06%) d[5] = 9.75246e-09 +/- 4.242e-09 (43.5%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.004 1.000 c[5] -0.025 -0.868 1.000 d[5] -0.094 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 08:26:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4205861635e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 4.9021954737e-12 -1.47e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.9022e-12 rel. change during last iteration : -1.47409e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78949e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.879e-08 (4.879e-06%) bb[5] = 1.43934 +/- 1.654e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.744e-08 (3.102e-06%) dd[5] = -2.12939e-09 +/- 3.469e-08 (1629%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 08:26:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 2.1026582032e-02 0.00e+00 4.04e-01 -1.074973e-01 1.439343e+00 6.282302e+00 9.752456e-09 5 3.7403526605e-14 -5.55e-02 4.04e-06 -8.227497e-02 1.439343e+00 6.281053e+00 9.752457e-09 After 5 iterations the fit converged. final sum of squares of residuals : 3.74035e-14 rel. change during last iteration : -5.54642e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.43661e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.93707e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.082275 +/- 4.265e-09 (5.184e-06%) b[6] = 1.43934 +/- 1.753e-08 (1.218e-06%) c[6] = 6.28105 +/- 1.034e-07 (1.646e-06%) d[6] = 9.75246e-09 +/- 3.03e-09 (31.07%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.003 1.000 c[6] -0.026 -0.868 1.000 d[6] -0.092 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 08:26:25 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.0270457879e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2946533484e-12 -2.19e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.29465e-12 rel. change during last iteration : -2.18977e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.899e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.40421e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.074e-08 (5.074e-06%) bb[6] = 1.43934 +/- 1.715e-08 (1.191e-06%) cc[6] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[6] = -2.12939e-09 +/- 3.605e-08 (1693%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 08:26:25 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 4.7021608814e-02 0.00e+00 3.10e-01 -8.227497e-02 1.439343e+00 6.281053e+00 9.752457e-09 6 1.0532830291e-14 -9.48e-04 3.10e-07 -4.452733e-02 1.439343e+00 6.278037e+00 9.752434e-09 After 6 iterations the fit converged. final sum of squares of residuals : 1.05328e-14 rel. change during last iteration : -9.47991e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.29301e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.67188e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.0445273 +/- 2.265e-09 (5.086e-06%) b[7] = 1.43934 +/- 1.715e-08 (1.191e-06%) c[7] = 6.27804 +/- 1.013e-07 (1.614e-06%) d[7] = 9.75243e-09 +/- 1.608e-09 (16.48%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.002 1.000 c[7] -0.027 -0.868 1.000 d[7] -0.091 0.110 -0.152 1.000 ******************************************************************************* Sun Oct 12 08:26:26 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3188610922e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.1805162521e-12 -2.13e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.18052e-12 rel. change during last iteration : -2.13062e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86758e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22304e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.023e-08 (5.023e-06%) bb[7] = 1.43934 +/- 1.692e-08 (1.175e-06%) cc[7] = -3.14159 +/- 9.997e-08 (3.182e-06%) dd[7] = -2.12939e-09 +/- 3.565e-08 (1674%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Oct 12 08:26:26 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 6.5317153477e-02 0.00e+00 1.68e-01 -4.452733e-02 1.439343e+00 6.278037e+00 9.752434e-09 11 1.9970613891e-06 -4.38e-01 1.68e-05 5.465973e-05 2.323746e+00 1.919404e+01 9.731714e-09 After 11 iterations the fit converged. final sum of squares of residuals : 1.99706e-06 rel. change during last iteration : -4.37742e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000178043 variance of residuals (reduced chisquare) = WSSR/ndf : 3.16994e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 5.46597e-05 +/- 3.113e-05 (56.95%) b[8] = 2.32375 +/- 0.192 (8.261%) c[8] = 19.194 +/- 1.104 (5.752%) d[8] = 9.73171e-09 +/- 2.2e-05 (2.261e+05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.004 1.000 c[8] 0.030 -0.862 1.000 d[8] 0.085 -0.110 0.125 1.000 ******************************************************************************* Sun Oct 12 08:26:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3527316511e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2242300554e-12 -6.22e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22423e-12 rel. change during last iteration : -6.22474e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87966e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29243e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.048e-08 (5.048e-06%) bb[8] = 1.43934 +/- 1.694e-08 (1.177e-06%) cc[8] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[8] = -2.12939e-09 +/- 3.579e-08 (1681%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Oct 12 08:26:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 6.5163462867e-02 0.00e+00 4.56e-04 5.465973e-05 2.323746e+00 1.919404e+01 9.731714e-09 7 6.5149746834e-02 -9.89e-01 4.56e-02 4.995347e-05 2.357371e-01 -8.504609e+01 9.732546e-09 After 7 iterations the fit converged. final sum of squares of residuals : 0.0651497 rel. change during last iteration : -9.88949e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0321578 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00103412 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 4.99535e-05 +/- 0.06325 (1.266e+05%) b[9] = 0.235737 +/- 277.9 (1.179e+05%) c[9] = -85.0461 +/- 868.9 (1022%) d[9] = 9.73255e-09 +/- 0.06369 (6.544e+08%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.976 1.000 c[9] 0.819 -0.914 1.000 d[9] 0.993 -0.964 0.779 1.000 ******************************************************************************* Sun Oct 12 08:26:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.1066223570e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.0456432729e-12 -2.24e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.04564e-12 rel. change during last iteration : -2.24014e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83001e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.00896e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.964e-08 (4.964e-06%) bb[9] = 1.43934 +/- 1.661e-08 (1.154e-06%) cc[9] = -3.14159 +/- 9.848e-08 (3.135e-06%) dd[9] = -2.12939e-09 +/- 3.516e-08 (1651%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Oct 12 08:26:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 2.2214006202e-01 0.00e+00 1.56e-03 4.995347e-05 2.357371e-01 -8.504609e+01 9.732546e-09 1 2.2213896236e-01 -4.95e-01 1.56e-01 4.995369e-05 2.357409e-01 -8.500469e+01 9.732546e-09 After 1 iterations the fit converged. final sum of squares of residuals : 0.222139 rel. change during last iteration : -4.95031e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0593803 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00352602 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 4.99537e-05 +/- 0.1088 (2.179e+05%) b[10] = 0.235741 +/- 498.7 (2.116e+05%) c[10] = -85.0047 +/- 1612 (1897%) d[10] = 9.73255e-09 +/- 0.1079 (1.108e+09%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.974 1.000 c[10] 0.811 -0.910 1.000 d[10] 0.990 -0.957 0.757 1.000 ******************************************************************************* Sun Oct 12 08:26:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6941681029e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.6433157388e-12 -1.47e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64332e-12 rel. change during last iteration : -1.47447e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99293e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.254e-08 (5.254e-06%) bb[10] = 1.43934 +/- 1.752e-08 (1.217e-06%) cc[10] = -3.14159 +/- 1.04e-07 (3.312e-06%) dd[10] = -2.12939e-09 +/- 3.718e-08 (1746%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Oct 12 08:26:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 3.7861293391e-01 0.00e+00 1.58e-03 4.995369e-05 2.357409e-01 -8.500469e+01 9.732546e-09 2 3.7808732458e-01 0.00e+00 1.58e+04 4.102266e-04 2.251858e+00 9.318682e+01 9.734850e-09 After 2 iterations the fit converged. final sum of squares of residuals : 0.378087 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0774686 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00600139 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.000410227 +/- 0.01346 (3282%) b[11] = 2.25186 +/- 11.4 (506.1%) c[11] = 93.1868 +/- 67.87 (72.83%) d[11] = 9.73485e-09 +/- 0.009547 (9.807e+07%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.080 1.000 c[11] 0.078 -0.875 1.000 d[11] -0.084 0.045 0.005 1.000 ******************************************************************************* Sun Oct 12 08:26:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3203490898e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2515291433e-12 -1.51e-05 3.26e-01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25153e-12 rel. change during last iteration : -1.51185e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88717e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33576e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.072e-08 (5.072e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.192e-06%) dd[11] = -2.12939e-09 +/- 3.586e-08 (1684%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Oct 12 08:26:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 4.4227845177e-01 0.00e+00 1.36e-02 4.102266e-04 2.251858e+00 9.318682e+01 9.734850e-09 1 4.4227482151e-01 -8.21e-01 1.36e-01 4.102923e-04 2.254314e+00 9.312931e+01 9.734850e-09 After 1 iterations the fit converged. final sum of squares of residuals : 0.442275 rel. change during last iteration : -8.20816e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0837868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00702024 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.000410292 +/- 0.01457 (3550%) b[12] = 2.25431 +/- 12.3 (545.7%) c[12] = 93.1293 +/- 73.35 (78.76%) d[12] = 9.73485e-09 +/- 0.01033 (1.061e+08%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.077 1.000 c[12] 0.075 -0.875 1.000 d[12] -0.086 0.048 0.002 1.000 ******************************************************************************* Sun Oct 12 08:26:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.6461984594e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.4471198916e-12 -2.81e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.44712e-12 rel. change during last iteration : -2.8058e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94045e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.64622e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.169e-08 (5.169e-06%) bb[12] = 1.43934 +/- 1.712e-08 (1.19e-06%) cc[12] = -3.14159 +/- 1.02e-07 (3.248e-06%) dd[12] = -2.12939e-09 +/- 3.651e-08 (1715%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Oct 12 08:26:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 3.7684840365e-01 0.00e+00 1.36e-02 4.102923e-04 2.254314e+00 9.312931e+01 9.734850e-09 2 3.7684063468e-01 -9.73e-01 1.36e-01 4.104145e-04 2.258943e+00 9.311847e+01 9.734850e-09 After 2 iterations the fit converged. final sum of squares of residuals : 0.376841 rel. change during last iteration : -9.72906e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0773408 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0059816 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.000410414 +/- 0.01343 (3273%) b[13] = 2.25894 +/- 11.39 (504%) c[13] = 93.1185 +/- 67.87 (72.89%) d[13] = 9.73485e-09 +/- 0.009532 (9.791e+07%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.081 1.000 c[13] 0.078 -0.875 1.000 d[13] -0.083 0.049 0.001 1.000 ******************************************************************************* Sun Oct 12 08:26:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5718873549e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.4303035924e-12 -5.44e-05 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4303e-12 rel. change during last iteration : -5.4389e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9359e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.61953e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.164e-08 (5.164e-06%) bb[13] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[13] = -3.14159 +/- 1.018e-07 (3.24e-06%) dd[13] = -2.12939e-09 +/- 3.645e-08 (1712%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Oct 12 08:26:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 2.2030274862e-01 0.00e+00 1.36e-02 4.104145e-04 2.258943e+00 9.311847e+01 9.734850e-09 3 2.2026336085e-01 -1.43e-01 1.36e-01 4.151982e-04 2.429181e+00 9.244261e+01 9.734852e-09 After 3 iterations the fit converged. final sum of squares of residuals : 0.220263 rel. change during last iteration : -1.43289e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.059129 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00349624 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.000415198 +/- 0.01015 (2445%) b[14] = 2.42918 +/- 8.784 (361.6%) c[14] = 92.4426 +/- 49.88 (53.96%) d[14] = 9.73485e-09 +/- 0.007268 (7.466e+07%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.045 1.000 c[14] 0.048 -0.867 1.000 d[14] -0.028 0.098 -0.064 1.000 ******************************************************************************* Sun Oct 12 08:26:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4814370793e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3424697713e-12 -4.53e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.34247e-12 rel. change during last iteration : -4.53388e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91206e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.48011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.126e-08 (5.126e-06%) bb[14] = 1.43934 +/- 1.688e-08 (1.172e-06%) cc[14] = -3.14159 +/- 1.009e-07 (3.211e-06%) dd[14] = -2.12939e-09 +/- 3.614e-08 (1697%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Oct 12 08:26:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 6.4314392006e-02 0.00e+00 1.36e-02 4.151982e-04 2.429181e+00 9.244261e+01 9.734852e-09 29 6.3468227839e-02 -9.71e-01 1.36e+00 6.975374e-04 1.807746e+00 9.878731e+01 9.734943e-09 After 29 iterations the fit converged. final sum of squares of residuals : 0.0634682 rel. change during last iteration : -9.71263e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0317401 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00100743 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.000697537 +/- 0.005423 (777.5%) b[15] = 1.80775 +/- 2.849 (157.6%) c[15] = 98.7873 +/- 16.06 (16.26%) d[15] = 9.73494e-09 +/- 0.003912 (4.019e+07%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.035 1.000 c[15] 0.039 -0.867 1.000 d[15] -0.029 0.118 -0.075 1.000 ******************************************************************************* Sun Oct 12 08:26:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.3709805984e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3319000486e-12 -2.57e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.3319e-12 rel. change during last iteration : -2.5655e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90918e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46333e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.124e-08 (5.124e-06%) bb[15] = 1.43934 +/- 1.682e-08 (1.168e-06%) cc[15] = -3.14159 +/- 1.007e-07 (3.205e-06%) dd[15] = -2.12939e-09 +/- 3.61e-08 (1695%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Oct 12 08:26:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 1.9895062996e-05 0.00e+00 2.41e-02 6.975374e-04 1.807746e+00 9.878731e+01 9.734943e-09 72 3.7062950288e-19 -2.62e-04 2.41e-12 2.480852e-04 1.439343e+00 9.896013e+01 9.236510e-09 After 72 iterations the fit converged. final sum of squares of residuals : 3.7063e-19 rel. change during last iteration : -2.6191e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.67008e-11 variance of residuals (reduced chisquare) = WSSR/ndf : 5.88301e-21 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = 0.000248085 +/- 1.318e-11 (5.313e-06%) b[16] = 1.43934 +/- 1.967e-08 (1.367e-06%) c[16] = 98.9601 +/- 1.116e-07 (1.128e-07%) d[16] = 9.23651e-09 +/- 9.603e-12 (0.104%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.046 1.000 c[16] 0.040 -0.872 1.000 d[16] -0.121 -0.161 0.103 1.000 ******************************************************************************* Sun Oct 12 08:26:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5658314549e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.5065871735e-12 0.00e+00 3.29e+03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.50659e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95645e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.74061e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.211e-08 (5.211e-06%) bb[16] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[16] = -3.14159 +/- 1.022e-07 (3.254e-06%) dd[16] = -2.12939e-09 +/- 3.668e-08 (1723%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Oct 12 10:14:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e-02 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 6 2.0449954360e-14 -4.70e-01 2.23e-07 -3.848794e-02 1.439343e+00 -1.488542e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-14 rel. change during last iteration : -4.70209e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.0384879 +/- 3.119e-09 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.00342282 +/- 2.25e-09 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Sun Oct 12 10:14:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906881e-12 -1.94e-05 3.04e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : -1.944e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57894e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Oct 12 10:14:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e-02 0.00e+00 1.11e-01 -3.848794e-02 1.439343e+00 -1.488542e+00 3.422820e-03 6 3.5986365044e-14 0.00e+00 1.11e+02 -7.091721e-02 1.439343e+00 -1.536664e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.0709172 +/- 4.145e-09 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.00342282 +/- 2.983e-09 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Sun Oct 12 10:14:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952586918e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.4911162045e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.86151e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57894e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 10:14:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e-02 0.00e+00 2.07e-01 -7.091721e-02 1.439343e+00 -1.536664e+00 3.422820e-03 6 5.6415218288e-14 0.00e+00 2.07e+01 -9.261305e-02 1.439343e+00 -1.556658e+00 3.422819e-03 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.0926131 +/- 5.192e-09 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.00342282 +/- 3.734e-09 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sun Oct 12 10:14:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738569681e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.2450372820e-12 -1.84e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.83759e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57894e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 10:14:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-03 0.00e+00 2.70e-01 -9.261305e-02 1.439343e+00 -1.556658e+00 3.422819e-03 5 7.0278685652e-14 -2.01e-01 2.70e-06 -1.002336e-01 1.439343e+00 -1.570804e+00 3.422817e-03 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-14 rel. change during last iteration : -2.01149e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.100234 +/- 5.795e-09 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.00342282 +/- 4.167e-09 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sun Oct 12 10:14:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316734027e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.4201715105e-12 -1.84e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -1.84214e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57894e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 10:14:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-03 0.00e+00 2.93e-01 -1.002336e-01 1.439343e+00 -1.570804e+00 3.422817e-03 5 5.1414008752e-14 -9.57e-02 2.93e-06 -9.261302e-02 1.439343e+00 -1.584952e+00 3.422819e-03 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-14 rel. change during last iteration : -9.56549e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.092613 +/- 4.957e-09 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.00342282 +/- 3.564e-09 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sun Oct 12 10:14:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943803598e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.2302722225e-12 -7.26e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.2561e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57894e-09 +/- 3.584e-08 (1390%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 10:14:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e-02 0.00e+00 2.71e-01 -9.261302e-02 1.439343e+00 -1.584952e+00 3.422819e-03 6 3.8711906300e-14 -4.43e-04 2.71e-07 -7.091716e-02 1.439343e+00 -1.604951e+00 3.422819e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-14 rel. change during last iteration : -4.43373e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.0709172 +/- 4.303e-09 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.00342282 +/- 3.092e-09 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Sun Oct 12 10:14:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523474571e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.4201951191e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91875e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57894e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 10:14:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e-02 0.00e+00 2.08e-01 -7.091716e-02 1.439343e+00 -1.604951e+00 3.422819e-03 6 1.7082827091e-14 -1.84e-03 2.08e-07 -3.848793e-02 1.439343e+00 -1.653093e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-14 rel. change during last iteration : -1.84189e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.0384879 +/- 2.863e-09 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.00342282 +/- 2.053e-09 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Sun Oct 12 10:14:40 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947130e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.2281132696e-12 -3.10e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.09862e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57894e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Oct 12 10:14:40 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e-02 0.00e+00 1.14e-01 -3.848793e-02 1.439343e+00 -1.653093e+00 3.422820e-03 10 1.8605598430e-14 -4.22e-02 1.14e-02 -3.424517e-03 1.439341e+00 -3.141608e+00 3.422823e-03 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-14 rel. change during last iteration : -4.22238e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.00342452 +/- 3.012e-09 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.00342282 +/- 2.136e-09 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Sun Oct 12 10:14:40 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532791684e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.3183390263e-12 -8.71e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.71321e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57894e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Oct 12 10:14:41 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e-02 0.00e+00 1.12e-02 -3.424517e-03 1.439341e+00 -3.141608e+00 3.422823e-03 36 1.8595433024e-14 -5.57e-04 1.12e-10 -3.848807e-02 1.439343e+00 -4.630092e+00 3.422819e-03 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-14 rel. change during last iteration : -5.57367e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.0384881 +/- 2.959e-09 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.00342282 +/- 2.15e-09 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Sun Oct 12 10:14:41 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825218e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.1534670545e-12 -7.35e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -7.34676e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57894e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Oct 12 10:14:41 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e-02 0.00e+00 1.26e-01 -3.848807e-02 1.439343e+00 -4.630092e+00 3.422819e-03 6 3.9636781236e-14 -6.65e-03 1.26e-07 -7.091726e-02 1.439343e+00 -4.678234e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-14 rel. change during last iteration : -6.65255e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.0709173 +/- 4.327e-09 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.00342282 +/- 3.137e-09 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Sun Oct 12 10:14:42 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235890e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.6152193233e-12 -1.04e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.04178e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57894e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Oct 12 10:14:42 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e-02 0.00e+00 2.34e-01 -7.091726e-02 1.439343e+00 -4.678234e+00 3.422820e-03 6 5.5511337456e-14 -6.05e-04 2.34e-07 -9.261306e-02 1.439343e+00 -4.698232e+00 3.422819e-03 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-14 rel. change during last iteration : -6.05042e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.0926131 +/- 5.123e-09 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.00342282 +/- 3.712e-09 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Sun Oct 12 10:14:42 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020435110e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.1568201164e-12 -4.67e-05 3.26e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : -4.67291e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57894e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Oct 12 10:14:43 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-03 0.00e+00 3.06e-01 -9.261306e-02 1.439343e+00 -4.698232e+00 3.422819e-03 5 6.6311705155e-14 -1.12e-01 3.06e-06 -1.002336e-01 1.439343e+00 -4.712380e+00 3.422821e-03 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-14 rel. change during last iteration : -1.1187e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.100234 +/- 5.599e-09 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.00342282 +/- 4.057e-09 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Sun Oct 12 10:14:43 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673193e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.5687997212e-12 -3.59e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.58735e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57894e-09 +/- 3.692e-08 (1432%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Oct 12 10:14:43 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-03 0.00e+00 3.32e-01 -1.002336e-01 1.439343e+00 -4.712380e+00 3.422821e-03 5 5.9138008950e-14 -7.74e-02 3.32e-06 -9.261295e-02 1.439343e+00 -4.726527e+00 3.422821e-03 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-14 rel. change during last iteration : -7.73768e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.092613 +/- 5.288e-09 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.00342282 +/- 3.831e-09 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Sun Oct 12 10:14:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417541e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.6447883458e-12 -5.60e-06 3.27e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.60003e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57894e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Oct 12 10:14:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e-02 0.00e+00 3.07e-01 -9.261295e-02 1.439343e+00 -4.726527e+00 3.422821e-03 5 3.5551026994e-14 -3.14e-02 3.07e-06 -7.091706e-02 1.439343e+00 -4.746521e+00 3.422820e-03 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-14 rel. change during last iteration : -3.13743e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.0709171 +/- 4.101e-09 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.00342282 +/- 2.97e-09 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Sun Oct 12 10:14:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962745327e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.3604757228e-12 -4.80e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.80272e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57894e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Oct 12 10:14:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e-02 0.00e+00 2.36e-01 -7.091706e-02 1.439343e+00 -4.746521e+00 3.422820e-03 6 1.9226820809e-14 -6.19e-04 2.36e-07 -3.848774e-02 1.439343e+00 -4.794643e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-14 rel. change during last iteration : -6.19288e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.0384877 +/- 3.021e-09 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.00342282 +/- 2.183e-09 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Sun Oct 12 10:14:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509237560e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.3969608974e-12 -4.65e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.6549e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.5666e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57894e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Oct 12 10:14:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e-02 0.00e+00 1.29e-01 -3.848774e-02 1.439343e+00 -4.794643e+00 3.422820e-03 10 1.8026239718e-14 -9.94e-02 1.29e-09 -3.422788e-03 1.439344e+00 -6.283223e+00 3.422823e-03 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-14 rel. change during last iteration : -9.93912e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.00342279 +/- 2.981e-09 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.00342282 +/- 2.099e-09 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Oct 12 10:14:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514416393e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.5199173676e-12 -6.48e-06 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -6.47872e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57894e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Oct 12 10:29:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e-02 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 6 2.0449954360e-14 -4.70e-01 2.23e-07 -3.848794e-02 1.439343e+00 -1.488542e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-14 rel. change during last iteration : -4.70209e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.0384879 +/- 3.119e-09 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.00342282 +/- 2.25e-09 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Sun Oct 12 10:29:06 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906881e-12 -1.94e-05 3.04e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : -1.944e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57894e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Oct 12 10:29:06 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e-02 0.00e+00 1.11e-01 -3.848794e-02 1.439343e+00 -1.488542e+00 3.422820e-03 6 3.5986365044e-14 0.00e+00 1.11e+02 -7.091721e-02 1.439343e+00 -1.536664e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.0709172 +/- 4.145e-09 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.00342282 +/- 2.983e-09 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Sun Oct 12 10:29:06 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952586918e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.4911162045e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.86151e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57894e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 10:29:06 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e-02 0.00e+00 2.07e-01 -7.091721e-02 1.439343e+00 -1.536664e+00 3.422820e-03 6 5.6415218288e-14 0.00e+00 2.07e+01 -9.261305e-02 1.439343e+00 -1.556658e+00 3.422819e-03 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.0926131 +/- 5.192e-09 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.00342282 +/- 3.734e-09 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sun Oct 12 10:29:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738569681e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.2450372820e-12 -1.84e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.83759e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57894e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 10:29:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-03 0.00e+00 2.70e-01 -9.261305e-02 1.439343e+00 -1.556658e+00 3.422819e-03 5 7.0278685652e-14 -2.01e-01 2.70e-06 -1.002336e-01 1.439343e+00 -1.570804e+00 3.422817e-03 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-14 rel. change during last iteration : -2.01149e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.100234 +/- 5.795e-09 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.00342282 +/- 4.167e-09 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sun Oct 12 10:29:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316734027e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.4201715105e-12 -1.84e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -1.84214e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57894e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 10:29:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-03 0.00e+00 2.93e-01 -1.002336e-01 1.439343e+00 -1.570804e+00 3.422817e-03 5 5.1414008752e-14 -9.57e-02 2.93e-06 -9.261302e-02 1.439343e+00 -1.584952e+00 3.422819e-03 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-14 rel. change during last iteration : -9.56549e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.092613 +/- 4.957e-09 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.00342282 +/- 3.564e-09 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sun Oct 12 10:29:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943803598e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.2302722225e-12 -7.26e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.2561e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57894e-09 +/- 3.584e-08 (1390%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 10:29:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e-02 0.00e+00 2.71e-01 -9.261302e-02 1.439343e+00 -1.584952e+00 3.422819e-03 6 3.8711906300e-14 -4.43e-04 2.71e-07 -7.091716e-02 1.439343e+00 -1.604951e+00 3.422819e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-14 rel. change during last iteration : -4.43373e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.0709172 +/- 4.303e-09 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.00342282 +/- 3.092e-09 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Sun Oct 12 10:29:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523474571e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.4201951191e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91875e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57894e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 10:29:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e-02 0.00e+00 2.08e-01 -7.091716e-02 1.439343e+00 -1.604951e+00 3.422819e-03 6 1.7082827091e-14 -1.84e-03 2.08e-07 -3.848793e-02 1.439343e+00 -1.653093e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-14 rel. change during last iteration : -1.84189e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.0384879 +/- 2.863e-09 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.00342282 +/- 2.053e-09 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Sun Oct 12 10:29:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947130e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.2281132696e-12 -3.10e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.09862e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57894e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Oct 12 10:29:09 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e-02 0.00e+00 1.14e-01 -3.848793e-02 1.439343e+00 -1.653093e+00 3.422820e-03 10 1.8605598430e-14 -4.22e-02 1.14e-02 -3.424517e-03 1.439341e+00 -3.141608e+00 3.422823e-03 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-14 rel. change during last iteration : -4.22238e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.00342452 +/- 3.012e-09 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.00342282 +/- 2.136e-09 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Sun Oct 12 10:29:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532791684e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.3183390263e-12 -8.71e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.71321e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57894e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Oct 12 10:29:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e-02 0.00e+00 1.12e-02 -3.424517e-03 1.439341e+00 -3.141608e+00 3.422823e-03 36 1.8595433024e-14 -5.57e-04 1.12e-10 -3.848807e-02 1.439343e+00 -4.630092e+00 3.422819e-03 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-14 rel. change during last iteration : -5.57367e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.0384881 +/- 2.959e-09 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.00342282 +/- 2.15e-09 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Sun Oct 12 10:29:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825218e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.1534670545e-12 -7.35e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -7.34676e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57894e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Oct 12 10:29:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e-02 0.00e+00 1.26e-01 -3.848807e-02 1.439343e+00 -4.630092e+00 3.422819e-03 6 3.9636781236e-14 -6.65e-03 1.26e-07 -7.091726e-02 1.439343e+00 -4.678234e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-14 rel. change during last iteration : -6.65255e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.0709173 +/- 4.327e-09 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.00342282 +/- 3.137e-09 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Sun Oct 12 10:29:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235890e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.6152193233e-12 -1.04e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.04178e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57894e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Oct 12 10:29:11 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e-02 0.00e+00 2.34e-01 -7.091726e-02 1.439343e+00 -4.678234e+00 3.422820e-03 6 5.5511337456e-14 -6.05e-04 2.34e-07 -9.261306e-02 1.439343e+00 -4.698232e+00 3.422819e-03 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-14 rel. change during last iteration : -6.05042e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.0926131 +/- 5.123e-09 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.00342282 +/- 3.712e-09 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Sun Oct 12 10:29:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020435110e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.1568201164e-12 -4.67e-05 3.26e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : -4.67291e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57894e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Oct 12 10:29:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-03 0.00e+00 3.06e-01 -9.261306e-02 1.439343e+00 -4.698232e+00 3.422819e-03 5 6.6311705155e-14 -1.12e-01 3.06e-06 -1.002336e-01 1.439343e+00 -4.712380e+00 3.422821e-03 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-14 rel. change during last iteration : -1.1187e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.100234 +/- 5.599e-09 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.00342282 +/- 4.057e-09 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Sun Oct 12 10:29:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673193e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.5687997212e-12 -3.59e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.58735e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57894e-09 +/- 3.692e-08 (1432%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Oct 12 10:29:12 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-03 0.00e+00 3.32e-01 -1.002336e-01 1.439343e+00 -4.712380e+00 3.422821e-03 5 5.9138008950e-14 -7.74e-02 3.32e-06 -9.261295e-02 1.439343e+00 -4.726527e+00 3.422821e-03 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-14 rel. change during last iteration : -7.73768e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.092613 +/- 5.288e-09 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.00342282 +/- 3.831e-09 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Sun Oct 12 10:29:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417541e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.6447883458e-12 -5.60e-06 3.27e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.60003e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57894e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Oct 12 10:29:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e-02 0.00e+00 3.07e-01 -9.261295e-02 1.439343e+00 -4.726527e+00 3.422821e-03 5 3.5551026994e-14 -3.14e-02 3.07e-06 -7.091706e-02 1.439343e+00 -4.746521e+00 3.422820e-03 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-14 rel. change during last iteration : -3.13743e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.0709171 +/- 4.101e-09 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.00342282 +/- 2.97e-09 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Sun Oct 12 10:29:13 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962745327e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.3604757228e-12 -4.80e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.80272e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57894e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Oct 12 10:29:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e-02 0.00e+00 2.36e-01 -7.091706e-02 1.439343e+00 -4.746521e+00 3.422820e-03 6 1.9226820809e-14 -6.19e-04 2.36e-07 -3.848774e-02 1.439343e+00 -4.794643e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-14 rel. change during last iteration : -6.19288e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.0384877 +/- 3.021e-09 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.00342282 +/- 2.183e-09 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Sun Oct 12 10:29:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509237560e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.3969608974e-12 -4.65e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.6549e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.5666e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57894e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Oct 12 10:29:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e-02 0.00e+00 1.29e-01 -3.848774e-02 1.439343e+00 -4.794643e+00 3.422820e-03 10 1.8026239718e-14 -9.94e-02 1.29e-09 -3.422788e-03 1.439344e+00 -6.283223e+00 3.422823e-03 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-14 rel. change during last iteration : -9.93912e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.00342279 +/- 2.981e-09 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.00342282 +/- 2.099e-09 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Oct 12 10:29:15 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514416393e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.5199173676e-12 -6.48e-06 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -6.47872e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57894e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Oct 12 10:30:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.3649273678e-02 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 6 2.0449954360e-14 -4.70e-01 2.23e-07 -3.848794e-02 1.439343e+00 -1.488542e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 2.045e-14 rel. change during last iteration : -4.70209e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.80167e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24602e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.0384879 +/- 3.119e-09 (8.104e-06%) b[1] = 1.43934 +/- 2.903e-08 (2.017e-06%) c[1] = -1.48854 +/- 1.613e-07 (1.084e-05%) d[1] = 0.00342282 +/- 2.25e-09 (6.573e-05%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.033 1.000 c[1] 0.057 -0.861 1.000 d[1] -0.118 0.144 -0.079 1.000 ******************************************************************************* Sun Oct 12 10:30:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906881e-12 -1.94e-05 3.04e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : -1.944e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57894e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Oct 12 10:30:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 3.5536103440e-02 0.00e+00 1.11e-01 -3.848794e-02 1.439343e+00 -1.488542e+00 3.422820e-03 6 3.5986365044e-14 0.00e+00 1.11e+02 -7.091721e-02 1.439343e+00 -1.536664e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.59864e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.71212e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.0709172 +/- 4.145e-09 (5.845e-06%) b[2] = 1.43934 +/- 2.074e-08 (1.441e-06%) c[2] = -1.53666 +/- 1.156e-07 (7.522e-06%) d[2] = 0.00342282 +/- 2.983e-09 (8.714e-05%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.029 1.000 c[2] 0.054 -0.860 1.000 d[2] -0.114 0.139 -0.072 1.000 ******************************************************************************* Sun Oct 12 10:30:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5952586918e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.4911162045e-12 -2.86e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49112e-12 rel. change during last iteration : -2.86151e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9523e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71606e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[2] = -2.57894e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 10:30:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.5866736839e-02 0.00e+00 2.07e-01 -7.091721e-02 1.439343e+00 -1.536664e+00 3.422820e-03 6 5.6415218288e-14 0.00e+00 2.07e+01 -9.261305e-02 1.439343e+00 -1.556658e+00 3.422819e-03 After 6 iterations the fit converged. final sum of squares of residuals : 5.64152e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99246e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9548e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.0926131 +/- 5.192e-09 (5.606e-06%) b[3] = 1.43934 +/- 1.986e-08 (1.38e-06%) c[3] = -1.55666 +/- 1.108e-07 (7.12e-06%) d[3] = 0.00342282 +/- 3.734e-09 (0.0001091%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.053 -0.860 1.000 d[3] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sun Oct 12 10:30:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738569681e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.2450372820e-12 -1.84e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.83759e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57894e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 10:30:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.9803132187e-03 0.00e+00 2.70e-01 -9.261305e-02 1.439343e+00 -1.556658e+00 3.422819e-03 5 7.0278685652e-14 -2.01e-01 2.70e-06 -1.002336e-01 1.439343e+00 -1.570804e+00 3.422817e-03 After 5 iterations the fit converged. final sum of squares of residuals : 7.02787e-14 rel. change during last iteration : -2.01149e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.33996e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.11553e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.100234 +/- 5.795e-09 (5.781e-06%) b[4] = 1.43934 +/- 2.047e-08 (1.422e-06%) c[4] = -1.5708 +/- 1.145e-07 (7.286e-06%) d[4] = 0.00342282 +/- 4.167e-09 (0.0001218%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sun Oct 12 10:30:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316734027e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.4201715105e-12 -1.84e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -1.84214e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57894e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 10:30:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.0737372375e-03 0.00e+00 2.93e-01 -1.002336e-01 1.439343e+00 -1.570804e+00 3.422817e-03 5 5.1414008752e-14 -9.57e-02 2.93e-06 -9.261302e-02 1.439343e+00 -1.584952e+00 3.422819e-03 After 5 iterations the fit converged. final sum of squares of residuals : 5.1414e-14 rel. change during last iteration : -9.56549e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85674e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.16095e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.092613 +/- 4.957e-09 (5.352e-06%) b[5] = 1.43934 +/- 1.895e-08 (1.317e-06%) c[5] = -1.58495 +/- 1.061e-07 (6.694e-06%) d[5] = 0.00342282 +/- 3.564e-09 (0.0001041%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.028 1.000 c[5] 0.053 -0.861 1.000 d[5] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sun Oct 12 10:30:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943803598e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.2302722225e-12 -7.26e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.2561e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57894e-09 +/- 3.584e-08 (1390%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 10:30:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.6169180121e-02 0.00e+00 2.71e-01 -9.261302e-02 1.439343e+00 -1.584952e+00 3.422819e-03 6 3.8711906300e-14 -4.43e-04 2.71e-07 -7.091716e-02 1.439343e+00 -1.604951e+00 3.422819e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.87119e-14 rel. change during last iteration : -4.43373e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47886e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14475e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.0709172 +/- 4.303e-09 (6.067e-06%) b[6] = 1.43934 +/- 2.144e-08 (1.49e-06%) c[6] = -1.60495 +/- 1.202e-07 (7.492e-06%) d[6] = 0.00342282 +/- 3.092e-09 (9.035e-05%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.027 1.000 c[6] 0.053 -0.861 1.000 d[6] -0.112 0.137 -0.070 1.000 ******************************************************************************* Sun Oct 12 10:30:49 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523474571e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.4201951191e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91875e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57894e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 10:30:49 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6071851766e-02 0.00e+00 2.08e-01 -7.091716e-02 1.439343e+00 -1.604951e+00 3.422819e-03 6 1.7082827091e-14 -1.84e-03 2.08e-07 -3.848793e-02 1.439343e+00 -1.653093e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 1.70828e-14 rel. change during last iteration : -1.84189e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.64668e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.71156e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.0384879 +/- 2.863e-09 (7.44e-06%) b[7] = 1.43934 +/- 2.605e-08 (1.81e-06%) c[7] = -1.65309 +/- 1.465e-07 (8.861e-06%) d[7] = 0.00342282 +/- 2.053e-09 (5.998e-05%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.024 1.000 c[7] 0.050 -0.861 1.000 d[7] -0.108 0.132 -0.063 1.000 ******************************************************************************* Sun Oct 12 10:30:49 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947130e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.2281132696e-12 -3.10e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.09862e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57894e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Oct 12 10:30:50 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.0150009604e-02 0.00e+00 1.14e-01 -3.848793e-02 1.439343e+00 -1.653093e+00 3.422820e-03 10 1.8605598430e-14 -4.22e-02 1.14e-02 -3.424517e-03 1.439341e+00 -3.141608e+00 3.422823e-03 After 10 iterations the fit converged. final sum of squares of residuals : 1.86056e-14 rel. change during last iteration : -4.22238e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71851e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95327e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.00342452 +/- 3.012e-09 (8.796e-05%) b[8] = 1.43934 +/- 2.953e-07 (2.051e-05%) c[8] = -3.14161 +/- 1.748e-06 (5.564e-05%) d[8] = 0.00342282 +/- 2.136e-09 (6.24e-05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.009 1.000 c[8] -0.019 -0.868 1.000 d[8] 0.090 -0.107 0.150 1.000 ******************************************************************************* Sun Oct 12 10:30:50 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532791684e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.3183390263e-12 -8.71e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.71321e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57894e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Oct 12 10:30:50 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.0148858908e-02 0.00e+00 1.12e-02 -3.424517e-03 1.439341e+00 -3.141608e+00 3.422823e-03 36 1.8595433024e-14 -5.57e-04 1.12e-10 -3.848807e-02 1.439343e+00 -4.630092e+00 3.422819e-03 After 36 iterations the fit converged. final sum of squares of residuals : 1.85954e-14 rel. change during last iteration : -5.57367e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.71804e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.95166e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.0384881 +/- 2.959e-09 (7.688e-06%) b[9] = 1.43934 +/- 2.833e-08 (1.968e-06%) c[9] = -4.63009 +/- 1.589e-07 (3.431e-06%) d[9] = 0.00342282 +/- 2.15e-09 (6.283e-05%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.048 1.000 c[9] 0.068 -0.869 1.000 d[9] 0.130 -0.159 0.100 1.000 ******************************************************************************* Sun Oct 12 10:30:51 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825218e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.1534670545e-12 -7.35e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -7.34676e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57894e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Oct 12 10:30:51 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.6046678658e-02 0.00e+00 1.26e-01 -3.848807e-02 1.439343e+00 -4.630092e+00 3.422819e-03 6 3.9636781236e-14 -6.65e-03 1.26e-07 -7.091726e-02 1.439343e+00 -4.678234e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 3.96368e-14 rel. change during last iteration : -6.65255e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5083e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 6.29155e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.0709173 +/- 4.327e-09 (6.102e-06%) b[10] = 1.43934 +/- 2.228e-08 (1.548e-06%) c[10] = -4.67823 +/- 1.252e-07 (2.677e-06%) d[10] = 0.00342282 +/- 3.137e-09 (9.166e-05%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.044 1.000 c[10] 0.065 -0.868 1.000 d[10] 0.127 -0.154 0.094 1.000 ******************************************************************************* Sun Oct 12 10:30:51 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235890e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.6152193233e-12 -1.04e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.04178e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57894e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Oct 12 10:30:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 1.6096047774e-02 0.00e+00 2.34e-01 -7.091726e-02 1.439343e+00 -4.678234e+00 3.422820e-03 6 5.5511337456e-14 -6.05e-04 2.34e-07 -9.261306e-02 1.439343e+00 -4.698232e+00 3.422819e-03 After 6 iterations the fit converged. final sum of squares of residuals : 5.55113e-14 rel. change during last iteration : -6.05042e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96839e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.81132e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.0926131 +/- 5.123e-09 (5.531e-06%) b[11] = 1.43934 +/- 2.016e-08 (1.401e-06%) c[11] = -4.69823 +/- 1.135e-07 (2.416e-06%) d[11] = 0.00342282 +/- 3.712e-09 (0.0001085%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.043 1.000 c[11] 0.065 -0.868 1.000 d[11] 0.126 -0.154 0.093 1.000 ******************************************************************************* Sun Oct 12 10:30:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2020435110e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.1568201164e-12 -4.67e-05 3.26e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15682e-12 rel. change during last iteration : -4.67291e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86102e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18543e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.026e-08 (5.026e-06%) bb[11] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[11] = -3.14159 +/- 9.937e-08 (3.163e-06%) dd[11] = -2.57894e-09 +/- 3.553e-08 (1378%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Oct 12 10:30:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 2.0094140812e-03 0.00e+00 3.06e-01 -9.261306e-02 1.439343e+00 -4.698232e+00 3.422819e-03 5 6.6311705155e-14 -1.12e-01 3.06e-06 -1.002336e-01 1.439343e+00 -4.712380e+00 3.422821e-03 After 5 iterations the fit converged. final sum of squares of residuals : 6.63117e-14 rel. change during last iteration : -1.1187e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.24433e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05257e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.100234 +/- 5.599e-09 (5.586e-06%) b[12] = 1.43934 +/- 2.036e-08 (1.415e-06%) c[12] = -4.71238 +/- 1.148e-07 (2.435e-06%) d[12] = 0.00342282 +/- 4.057e-09 (0.0001185%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.043 1.000 c[12] 0.065 -0.868 1.000 d[12] 0.126 -0.153 0.093 1.000 ******************************************************************************* Sun Oct 12 10:30:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7397673193e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.5687997212e-12 -3.59e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.58735e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57894e-09 +/- 3.692e-08 (1432%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Oct 12 10:30:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0976656269e-03 0.00e+00 3.32e-01 -1.002336e-01 1.439343e+00 -4.712380e+00 3.422821e-03 5 5.9138008950e-14 -7.74e-02 3.32e-06 -9.261295e-02 1.439343e+00 -4.726527e+00 3.422821e-03 After 5 iterations the fit converged. final sum of squares of residuals : 5.9138e-14 rel. change during last iteration : -7.73768e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.06382e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38699e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.092613 +/- 5.288e-09 (5.709e-06%) b[13] = 1.43934 +/- 2.081e-08 (1.446e-06%) c[13] = -4.72653 +/- 1.174e-07 (2.485e-06%) d[13] = 0.00342282 +/- 3.831e-09 (0.0001119%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.043 1.000 c[13] 0.065 -0.869 1.000 d[13] 0.126 -0.153 0.093 1.000 ******************************************************************************* Sun Oct 12 10:30:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8506417541e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.6447883458e-12 -5.60e-06 3.27e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64479e-12 rel. change during last iteration : -5.60003e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99332e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95998e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.265e-08 (5.265e-06%) bb[13] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[13] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[13] = -2.57894e-09 +/- 3.716e-08 (1441%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Oct 12 10:30:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 1.6381728288e-02 0.00e+00 3.07e-01 -9.261295e-02 1.439343e+00 -4.726527e+00 3.422821e-03 5 3.5551026994e-14 -3.14e-02 3.07e-06 -7.091706e-02 1.439343e+00 -4.746521e+00 3.422820e-03 After 5 iterations the fit converged. final sum of squares of residuals : 3.5551e-14 rel. change during last iteration : -3.13743e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.3755e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.64302e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.0709171 +/- 4.101e-09 (5.783e-06%) b[14] = 1.43934 +/- 2.104e-08 (1.462e-06%) c[14] = -4.74652 +/- 1.189e-07 (2.506e-06%) d[14] = 0.00342282 +/- 2.97e-09 (8.678e-05%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.042 1.000 c[14] 0.064 -0.869 1.000 d[14] 0.125 -0.152 0.092 1.000 ******************************************************************************* Sun Oct 12 10:30:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4962745327e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.3604757228e-12 -4.80e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -4.80272e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57894e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Oct 12 10:30:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 3.6552670482e-02 0.00e+00 2.36e-01 -7.091706e-02 1.439343e+00 -4.746521e+00 3.422820e-03 6 1.9226820809e-14 -6.19e-04 2.36e-07 -3.848774e-02 1.439343e+00 -4.794643e+00 3.422820e-03 After 6 iterations the fit converged. final sum of squares of residuals : 1.92268e-14 rel. change during last iteration : -6.19288e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.74696e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.05188e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.0384877 +/- 3.021e-09 (7.85e-06%) b[15] = 1.43934 +/- 2.829e-08 (1.966e-06%) c[15] = -4.79464 +/- 1.603e-07 (3.344e-06%) d[15] = 0.00342282 +/- 2.183e-09 (6.377e-05%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.039 1.000 c[15] 0.062 -0.868 1.000 d[15] 0.121 -0.148 0.085 1.000 ******************************************************************************* Sun Oct 12 10:30:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509237560e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.3969608974e-12 -4.65e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.6549e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.5666e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57894e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Oct 12 10:30:55 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 5.0820030957e-02 0.00e+00 1.29e-01 -3.848774e-02 1.439343e+00 -4.794643e+00 3.422820e-03 10 1.8026239718e-14 -9.94e-02 1.29e-09 -3.422788e-03 1.439344e+00 -6.283223e+00 3.422823e-03 After 10 iterations the fit converged. final sum of squares of residuals : 1.80262e-14 rel. change during last iteration : -9.93912e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.69154e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 2.86131e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.00342279 +/- 2.981e-09 (8.71e-05%) b[16] = 1.43934 +/- 2.85e-07 (1.98e-05%) c[16] = -6.28322 +/- 1.709e-06 (2.72e-05%) d[16] = 0.00342282 +/- 2.099e-09 (6.132e-05%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.002 1.000 c[16] -0.022 -0.868 1.000 d[16] -0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Oct 12 10:30:55 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514416393e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.5199173676e-12 -6.48e-06 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -6.47872e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57894e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Oct 12 10:38:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 8.7811506732e-01 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 8 6.5132339249e-14 -4.88e-03 2.23e-09 9.261295e-02 1.439343e+00 -1.584943e+00 -3.569392e-08 After 8 iterations the fit converged. final sum of squares of residuals : 6.51323e-14 rel. change during last iteration : -4.87963e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.21535e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03385e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = 0.092613 +/- 5.595e-09 (6.041e-06%) b[1] = 1.43934 +/- 2.108e-08 (1.465e-06%) c[1] = -1.58494 +/- 1.176e-07 (7.419e-06%) d[1] = -3.56939e-08 +/- 4.007e-09 (11.23%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] 0.022 1.000 c[1] -0.048 -0.858 1.000 d[1] -0.107 -0.130 0.060 1.000 ******************************************************************************* Sun Oct 12 10:38:55 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476616894e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2795906881e-12 -1.94e-05 3.04e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.27959e-12 rel. change during last iteration : -1.944e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89488e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3803e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.049e-08 (5.049e-06%) bb[1] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[1] = -3.14159 +/- 1.015e-07 (3.231e-06%) dd[1] = -2.57894e-09 +/- 3.604e-08 (1397%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Oct 12 10:38:55 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 1.6056854381e-02 0.00e+00 2.71e-01 9.261295e-02 1.439343e+00 -1.584943e+00 -3.569392e-08 5 4.4346537337e-14 -9.40e-01 2.71e-06 7.091710e-02 1.439343e+00 -1.604939e+00 -3.569393e-08 After 5 iterations the fit converged. final sum of squares of residuals : 4.43465e-14 rel. change during last iteration : -9.4025e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.65314e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.03913e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = 0.0709171 +/- 4.618e-09 (6.512e-06%) b[2] = 1.43934 +/- 2.268e-08 (1.576e-06%) c[2] = -1.60494 +/- 1.267e-07 (7.897e-06%) d[2] = -3.56939e-08 +/- 3.306e-09 (9.263%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] 0.021 1.000 c[2] -0.048 -0.858 1.000 d[2] -0.106 -0.129 0.059 1.000 ******************************************************************************* Sun Oct 12 10:38:55 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5963511562e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.4924889589e-12 -2.87e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49249e-12 rel. change during last iteration : -2.8706e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95267e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.71824e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.153e-08 (5.153e-06%) bb[2] = 1.43934 +/- 1.766e-08 (1.227e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.293e-06%) dd[2] = -2.57894e-09 +/- 3.675e-08 (1425%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 10:38:56 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 3.5819105327e-02 0.00e+00 2.08e-01 7.091710e-02 1.439343e+00 -1.604939e+00 -3.569393e-08 9 3.1795283587e-14 -1.77e-03 2.08e-07 3.848785e-02 1.439343e+00 -1.653071e+00 -3.491468e-08 After 9 iterations the fit converged. final sum of squares of residuals : 3.17953e-14 rel. change during last iteration : -1.76984e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.24652e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.04687e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = 0.0384879 +/- 3.918e-09 (1.018e-05%) b[3] = 1.43934 +/- 3.513e-08 (2.441e-06%) c[3] = -1.65307 +/- 1.969e-07 (1.191e-05%) d[3] = -3.49147e-08 +/- 2.798e-09 (8.013%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] 0.018 1.000 c[3] -0.045 -0.857 1.000 d[3] -0.102 -0.124 0.052 1.000 ******************************************************************************* Sun Oct 12 10:38:56 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2738779462e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.2450372820e-12 -1.83e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.24504e-12 rel. change during last iteration : -1.8286e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88539e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32546e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.04e-08 (5.04e-06%) bb[3] = 1.43934 +/- 1.721e-08 (1.196e-06%) cc[3] = -3.14159 +/- 1.01e-07 (3.214e-06%) dd[3] = -2.57894e-09 +/- 3.59e-08 (1392%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 10:38:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 4.9798148564e-02 0.00e+00 1.14e-01 3.848785e-02 1.439343e+00 -1.653071e+00 -3.491468e-08 11 1.0478170074e-14 -4.79e-03 1.14e-10 3.423639e-03 1.439345e+00 -3.141622e+00 -3.309385e-08 After 11 iterations the fit converged. final sum of squares of residuals : 1.04782e-14 rel. change during last iteration : -4.78919e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.28965e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.6632e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = 0.00342364 +/- 2.254e-09 (6.584e-05%) b[4] = 1.43934 +/- 2.24e-07 (1.556e-05%) c[4] = -3.14162 +/- 1.317e-06 (4.192e-05%) d[4] = -3.30939e-08 +/- 1.604e-09 (4.848%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] 0.014 1.000 c[4] 0.015 -0.868 1.000 d[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 10:38:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5316734035e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.4201715105e-12 -1.84e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.42017e-12 rel. change during last iteration : -1.84214e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93316e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60345e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.127e-08 (5.127e-06%) bb[4] = 1.43934 +/- 1.744e-08 (1.212e-06%) cc[4] = -3.14159 +/- 1.026e-07 (3.264e-06%) dd[4] = -2.57894e-09 +/- 3.649e-08 (1415%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 10:38:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 4.9796992744e-02 0.00e+00 1.10e-02 3.423639e-03 1.439345e+00 -3.141622e+00 -3.309385e-08 35 2.9646559649e-14 -1.36e-03 1.10e-10 3.848798e-02 1.439343e+00 -4.630114e+00 -3.403524e-08 After 35 iterations the fit converged. final sum of squares of residuals : 2.96466e-14 rel. change during last iteration : -1.35545e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.16929e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.7058e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = 0.038488 +/- 3.746e-09 (9.732e-06%) b[5] = 1.43934 +/- 3.536e-08 (2.457e-06%) c[5] = -4.63011 +/- 1.974e-07 (4.263e-06%) d[5] = -3.40352e-08 +/- 2.712e-09 (7.969%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] 0.042 1.000 c[5] -0.064 -0.865 1.000 d[5] 0.124 0.152 -0.090 1.000 ******************************************************************************* Sun Oct 12 10:38:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4943803598e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.2302722225e-12 -7.26e-03 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.23027e-12 rel. change during last iteration : -7.2561e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88132e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.30202e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 5.04e-08 (5.04e-06%) bb[5] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[5] = -3.14159 +/- 1.006e-07 (3.204e-06%) dd[5] = -2.57894e-09 +/- 3.584e-08 (1390%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 10:38:59 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.5793409881e-02 0.00e+00 1.26e-01 3.848798e-02 1.439343e+00 -4.630114e+00 -3.403524e-08 6 4.9072384972e-14 -1.04e-05 1.26e+01 7.091722e-02 1.439343e+00 -4.678246e+00 -3.403525e-08 After 6 iterations the fit converged. final sum of squares of residuals : 4.90724e-14 rel. change during last iteration : -1.04423e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79093e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78927e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.0709172 +/- 4.828e-09 (6.808e-06%) b[6] = 1.43934 +/- 2.451e-08 (1.703e-06%) c[6] = -4.67825 +/- 1.371e-07 (2.931e-06%) d[6] = -3.40352e-08 +/- 3.487e-09 (10.24%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.038 1.000 c[6] -0.061 -0.864 1.000 d[6] 0.121 0.147 -0.083 1.000 ******************************************************************************* Sun Oct 12 10:38:59 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8523474571e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.4201951191e-12 -1.92e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4202e-12 rel. change during last iteration : -1.91875e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93317e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.60348e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.134e-08 (5.134e-06%) bb[6] = 1.43934 +/- 1.735e-08 (1.205e-06%) cc[6] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[6] = -2.57894e-09 +/- 3.647e-08 (1414%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 10:39:00 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 1.5982112288e-02 0.00e+00 2.34e-01 7.091722e-02 1.439343e+00 -4.678246e+00 -3.403525e-08 6 6.2779891486e-14 -8.48e-01 2.34e-07 9.261303e-02 1.439343e+00 -4.698242e+00 -3.404270e-08 After 6 iterations the fit converged. final sum of squares of residuals : 6.27799e-14 rel. change during last iteration : -8.47591e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.15675e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 9.96506e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.092613 +/- 5.462e-09 (5.898e-06%) b[7] = 1.43934 +/- 2.119e-08 (1.472e-06%) c[7] = -4.69824 +/- 1.188e-07 (2.528e-06%) d[7] = -3.40427e-08 +/- 3.943e-09 (11.58%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.037 1.000 c[7] -0.061 -0.864 1.000 d[7] 0.120 0.146 -0.082 1.000 ******************************************************************************* Sun Oct 12 10:39:00 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3594947130e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.2281132696e-12 -3.10e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22811e-12 rel. change during last iteration : -3.09862e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29859e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.046e-08 (5.046e-06%) bb[7] = 1.43934 +/- 1.699e-08 (1.181e-06%) cc[7] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[7] = -2.57894e-09 +/- 3.581e-08 (1389%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Oct 12 10:39:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 1.9947904720e-03 0.00e+00 3.06e-01 9.261303e-02 1.439343e+00 -4.698242e+00 -3.404270e-08 5 8.0362319431e-14 -7.10e-02 3.06e-06 1.002336e-01 1.439343e+00 -4.712389e+00 -3.404279e-08 After 5 iterations the fit converged. final sum of squares of residuals : 8.03623e-14 rel. change during last iteration : -7.09917e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.57154e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.27559e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.100234 +/- 6.18e-09 (6.166e-06%) b[8] = 1.43934 +/- 2.215e-08 (1.539e-06%) c[8] = -4.71239 +/- 1.243e-07 (2.638e-06%) d[8] = -3.40428e-08 +/- 4.461e-09 (13.11%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.037 1.000 c[8] -0.061 -0.865 1.000 d[8] 0.120 0.146 -0.082 1.000 ******************************************************************************* Sun Oct 12 10:39:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4532791684e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.3183390263e-12 -8.71e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31834e-12 rel. change during last iteration : -8.71321e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90548e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44181e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.093e-08 (5.093e-06%) bb[8] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[8] = -2.57894e-09 +/- 3.611e-08 (1400%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Oct 12 10:39:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.0861557810e-03 0.00e+00 3.32e-01 1.002336e-01 1.439343e+00 -4.712389e+00 -3.404279e-08 5 6.5539201554e-14 -8.11e-03 3.32e-06 9.261296e-02 1.439343e+00 -4.726536e+00 -3.404275e-08 After 5 iterations the fit converged. final sum of squares of residuals : 6.55392e-14 rel. change during last iteration : -8.11045e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22538e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.0403e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.092613 +/- 5.582e-09 (6.027e-06%) b[9] = 1.43934 +/- 2.165e-08 (1.504e-06%) c[9] = -4.72654 +/- 1.217e-07 (2.574e-06%) d[9] = -3.40428e-08 +/- 4.029e-09 (11.83%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.037 1.000 c[9] -0.061 -0.865 1.000 d[9] 0.120 0.146 -0.082 1.000 ******************************************************************************* Sun Oct 12 10:39:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2028825218e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.1534670545e-12 -7.35e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.15347e-12 rel. change during last iteration : -7.34676e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86009e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.18011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.017e-08 (5.017e-06%) bb[9] = 1.43934 +/- 1.678e-08 (1.166e-06%) cc[9] = -3.14159 +/- 9.952e-08 (3.168e-06%) dd[9] = -2.57894e-09 +/- 3.554e-08 (1378%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Oct 12 10:39:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.6277870933e-02 0.00e+00 3.08e-01 9.261296e-02 1.439343e+00 -4.726536e+00 -3.404275e-08 5 4.6241508699e-14 -3.24e-01 3.08e-06 7.091709e-02 1.439343e+00 -4.746532e+00 -3.404280e-08 After 5 iterations the fit converged. final sum of squares of residuals : 4.62415e-14 rel. change during last iteration : -3.24162e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.70923e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.33992e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.0709171 +/- 4.69e-09 (6.613e-06%) b[10] = 1.43934 +/- 2.371e-08 (1.647e-06%) c[10] = -4.74653 +/- 1.335e-07 (2.813e-06%) d[10] = -3.40428e-08 +/- 3.384e-09 (9.939%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.036 1.000 c[10] -0.060 -0.865 1.000 d[10] 0.119 0.145 -0.081 1.000 ******************************************************************************* Sun Oct 12 10:39:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6583235890e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.6152193233e-12 -1.04e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.61522e-12 rel. change during last iteration : -1.04178e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98547e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.91305e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.241e-08 (5.241e-06%) bb[10] = 1.43934 +/- 1.747e-08 (1.214e-06%) cc[10] = -3.14159 +/- 1.038e-07 (3.304e-06%) dd[10] = -2.57894e-09 +/- 3.709e-08 (1438%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Oct 12 10:39:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 3.6317302888e-02 0.00e+00 2.36e-01 7.091709e-02 1.439343e+00 -4.746532e+00 -3.404280e-08 9 3.1876343569e-14 -2.07e-03 2.36e-07 3.848781e-02 1.439343e+00 -4.794665e+00 -3.340422e-08 After 9 iterations the fit converged. final sum of squares of residuals : 3.18763e-14 rel. change during last iteration : -2.07076e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.24939e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.05974e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.0384878 +/- 3.901e-09 (1.014e-05%) b[11] = 1.43934 +/- 3.6e-08 (2.501e-06%) c[11] = -4.79466 +/- 2.032e-07 (4.238e-06%) d[11] = -3.34042e-08 +/- 2.807e-09 (8.404%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.032 1.000 c[11] -0.057 -0.864 1.000 d[11] 0.115 0.140 -0.074 1.000 ******************************************************************************* Sun Oct 12 10:39:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2622427882e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.2139472635e-12 -2.18e-05 3.26e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.21395e-12 rel. change during last iteration : -2.17798e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.27611e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.054e-08 (5.054e-06%) bb[11] = 1.43934 +/- 1.68e-08 (1.167e-06%) cc[11] = -3.14159 +/- 9.992e-08 (3.181e-06%) dd[11] = -2.57894e-09 +/- 3.573e-08 (1385%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Oct 12 10:39:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0491924786e-02 0.00e+00 1.29e-01 3.848781e-02 1.439343e+00 -4.794665e+00 -3.340422e-08 11 1.0425897866e-14 -1.92e-03 1.29e-10 3.423666e-03 1.439341e+00 -6.283209e+00 -3.296825e-08 After 11 iterations the fit converged. final sum of squares of residuals : 1.04259e-14 rel. change during last iteration : -1.91813e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.28643e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.6549e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.00342367 +/- 2.261e-09 (6.605e-05%) b[12] = 1.43934 +/- 2.188e-07 (1.52e-05%) c[12] = -6.28321 +/- 1.304e-06 (2.075e-05%) d[12] = -3.29682e-08 +/- 1.597e-09 (4.845%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.006 1.000 c[12] 0.019 -0.868 1.000 d[12] -0.083 -0.098 0.145 1.000 ******************************************************************************* Sun Oct 12 10:39:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7414121098e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.5687997186e-12 -3.28e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5688e-12 rel. change during last iteration : -3.27563e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83936e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.226e-08 (5.226e-06%) bb[12] = 1.43934 +/- 1.731e-08 (1.203e-06%) cc[12] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[12] = -2.57894e-09 +/- 3.692e-08 (1432%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Oct 12 10:39:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 5.0490798865e-02 0.00e+00 1.30e-02 3.423666e-03 1.439341e+00 -6.283209e+00 -3.296825e-08 38 3.0236727582e-14 -2.57e-07 1.30e+01 3.848802e-02 1.439343e+00 -7.771705e+00 -3.325333e-08 After 38 iterations the fit converged. final sum of squares of residuals : 3.02367e-14 rel. change during last iteration : -2.56825e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.19077e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.79948e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.038488 +/- 3.765e-09 (9.782e-06%) b[13] = 1.43934 +/- 3.654e-08 (2.538e-06%) c[13] = -7.77171 +/- 2.059e-07 (2.649e-06%) d[13] = -3.32533e-08 +/- 2.745e-09 (8.255%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.057 1.000 c[13] -0.075 -0.873 1.000 d[13] -0.136 -0.166 0.111 1.000 ******************************************************************************* Sun Oct 12 10:39:06 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.8106659471e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.6089719413e-12 0.00e+00 3.27e+03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.60897e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98381e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.90313e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.249e-08 (5.249e-06%) bb[13] = 1.43934 +/- 1.733e-08 (1.204e-06%) cc[13] = -3.14159 +/- 1.034e-07 (3.293e-06%) dd[13] = -2.57894e-09 +/- 3.704e-08 (1436%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Oct 12 10:39:06 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.6292934794e-02 0.00e+00 1.51e-01 3.848802e-02 1.439343e+00 -7.771705e+00 -3.325333e-08 8 5.0389736336e-14 -7.68e-01 1.51e-09 7.091723e-02 1.439343e+00 -7.819838e+00 -3.284370e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.03897e-14 rel. change during last iteration : -7.67631e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82814e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.99837e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.0709172 +/- 4.868e-09 (6.864e-06%) b[14] = 1.43934 +/- 2.541e-08 (1.766e-06%) c[14] = -7.81984 +/- 1.435e-07 (1.835e-06%) d[14] = -3.28437e-08 +/- 3.541e-09 (10.78%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] 0.053 1.000 c[14] -0.073 -0.872 1.000 d[14] -0.133 -0.161 0.104 1.000 ******************************************************************************* Sun Oct 12 10:39:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4927675228e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.3604757227e-12 -5.12e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.36048e-12 rel. change during last iteration : -5.12474e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91697e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.50869e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.135e-08 (5.135e-06%) bb[14] = 1.43934 +/- 1.69e-08 (1.174e-06%) cc[14] = -3.14159 +/- 1.01e-07 (3.216e-06%) dd[14] = -2.57894e-09 +/- 3.621e-08 (1404%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Oct 12 10:39:07 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 1.6207196608e-02 0.00e+00 2.80e-01 7.091723e-02 1.439343e+00 -7.819838e+00 -3.284370e-08 6 6.5907663002e-14 -9.77e-02 2.80e-07 9.261302e-02 1.439343e+00 -7.839834e+00 -3.284574e-08 After 6 iterations the fit converged. final sum of squares of residuals : 6.59077e-14 rel. change during last iteration : -9.76747e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.23443e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04615e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.092613 +/- 5.569e-09 (6.013e-06%) b[15] = 1.43934 +/- 2.223e-08 (1.544e-06%) c[15] = -7.83983 +/- 1.257e-07 (1.603e-06%) d[15] = -3.28457e-08 +/- 4.049e-09 (12.33%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] 0.052 1.000 c[15] -0.072 -0.872 1.000 d[15] -0.132 -0.161 0.103 1.000 ******************************************************************************* Sun Oct 12 10:39:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.4509237388e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.3969608979e-12 -4.67e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.39696e-12 rel. change during last iteration : -4.67017e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92688e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.5666e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.156e-08 (5.156e-06%) bb[15] = 1.43934 +/- 1.692e-08 (1.176e-06%) cc[15] = -3.14159 +/- 1.013e-07 (3.224e-06%) dd[15] = -2.57894e-09 +/- 3.632e-08 (1408%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Oct 12 10:39:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.0240031787e-03 0.00e+00 3.67e-01 9.261302e-02 1.439343e+00 -7.839834e+00 -3.284574e-08 5 7.6619827570e-14 -9.80e-02 3.67e-06 1.002335e-01 1.439343e+00 -7.853981e+00 -3.284587e-08 After 5 iterations the fit converged. final sum of squares of residuals : 7.66198e-14 rel. change during last iteration : -9.79537e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.48739e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.21619e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = 0.100234 +/- 6.004e-09 (5.99e-06%) b[16] = 1.43934 +/- 2.214e-08 (1.538e-06%) c[16] = -7.85398 +/- 1.254e-07 (1.596e-06%) d[16] = -3.28459e-08 +/- 4.366e-09 (13.29%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.052 1.000 c[16] -0.072 -0.872 1.000 d[16] -0.132 -0.161 0.103 1.000 ******************************************************************************* Sun Oct 12 10:39:08 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5514416392e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 3 5.5199173647e-12 -8.05e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.578942e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.51992e-12 rel. change during last iteration : -8.04817e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96003e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76177e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.218e-08 (5.218e-06%) bb[16] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[16] = -3.14159 +/- 1.024e-07 (3.258e-06%) dd[16] = -2.57894e-09 +/- 3.673e-08 (1424%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Oct 12 12:01:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 6.2884763880e+00 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 4.8850140471e-12 -1.67e-01 2.23e-06 -9.999969e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 After 6 iterations the fit converged. final sum of squares of residuals : 4.88501e-12 rel. change during last iteration : -1.67389e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.7846e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.75399e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.999997 +/- 4.842e-08 (4.842e-06%) b[1] = 1.43934 +/- 1.696e-08 (1.178e-06%) c[1] = -1.5708 +/- 9.455e-08 (6.019e-06%) d[1] = -9.45404e-07 +/- 3.472e-08 (3.672%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.024 1.000 c[1] 0.050 -0.858 1.000 d[1] -0.108 0.132 -0.063 1.000 ******************************************************************************* Sun Oct 12 12:01:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476614133e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2447881222e-12 -6.09e-05 3.04e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.24479e-12 rel. change during last iteration : -6.08782e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88532e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.32506e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.032e-08 (5.032e-06%) bb[1] = 1.43934 +/- 1.73e-08 (1.202e-06%) cc[1] = -3.14159 +/- 1.012e-07 (3.221e-06%) dd[1] = -7.07968e-09 +/- 3.592e-08 (507.4%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Oct 12 12:01:21 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 5.4338137394e-12 0.00e+00 2.92e+00 -9.999969e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 3 4.9868723926e-12 -4.48e-02 2.92e-03 -9.999968e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 4.98687e-12 rel. change during last iteration : -4.47847e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81348e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.91567e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.999997 +/- 4.888e-08 (4.888e-06%) b[2] = 1.43934 +/- 1.719e-08 (1.194e-06%) c[2] = -1.5708 +/- 9.589e-08 (6.105e-06%) d[2] = -9.45404e-07 +/- 3.509e-08 (3.711%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.025 1.000 c[2] 0.051 -0.859 1.000 d[2] -0.110 0.134 -0.065 1.000 ******************************************************************************* Sun Oct 12 12:01:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.5547360636e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 3 5.4432912324e-12 -3.66e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.44329e-12 rel. change during last iteration : -3.66317e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93941e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.64014e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.13e-08 (5.13e-06%) bb[2] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[2] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[2] = -7.07968e-09 +/- 3.659e-08 (516.8%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 12:01:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.4107577408e-12 0.00e+00 2.92e+00 -9.999968e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 3 5.0872427862e-12 -2.41e-03 2.92e-01 -9.999969e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.08724e-12 rel. change during last iteration : -2.41423e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.84165e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.07499e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.999997 +/- 4.934e-08 (4.934e-06%) b[3] = 1.43934 +/- 1.741e-08 (1.209e-06%) c[3] = -1.5708 +/- 9.723e-08 (6.19e-06%) d[3] = -9.45404e-07 +/- 3.545e-08 (3.749%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.027 1.000 c[3] 0.052 -0.860 1.000 d[3] -0.112 0.136 -0.068 1.000 ******************************************************************************* Sun Oct 12 12:01:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.1285791921e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 3 5.1048810982e-12 -2.08e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.10488e-12 rel. change during last iteration : -2.08044e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.84657e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.10299e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.972e-08 (4.972e-06%) bb[3] = 1.43934 +/- 1.698e-08 (1.179e-06%) cc[3] = -3.14159 +/- 9.963e-08 (3.171e-06%) dd[3] = -7.07968e-09 +/- 3.542e-08 (500.3%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 12:01:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 5.5388348766e-12 0.00e+00 2.92e+00 -9.999969e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 3 5.0867780324e-12 -1.92e-02 2.92e-03 -9.999968e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.08678e-12 rel. change during last iteration : -1.91636e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.84152e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.07425e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.999997 +/- 4.93e-08 (4.93e-06%) b[4] = 1.43934 +/- 1.746e-08 (1.213e-06%) c[4] = -1.5708 +/- 9.76e-08 (6.214e-06%) d[4] = -9.45404e-07 +/- 3.545e-08 (3.75%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.053 -0.861 1.000 d[4] -0.113 0.138 -0.071 1.000 ******************************************************************************* Sun Oct 12 12:01:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.3809165120e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 3 5.2933240031e-12 -4.63e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.29332e-12 rel. change during last iteration : -4.63474e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89864e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4021e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.066e-08 (5.066e-06%) bb[4] = 1.43934 +/- 1.724e-08 (1.198e-06%) cc[4] = -3.14159 +/- 1.013e-07 (3.226e-06%) dd[4] = -7.07968e-09 +/- 3.606e-08 (509.3%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 12:01:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 5.5637312437e-12 0.00e+00 2.92e+00 -9.999968e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 3 4.8982141577e-12 -5.86e-02 2.92e-03 -9.999968e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 4.89821e-12 rel. change during last iteration : -5.86275e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78836e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.77494e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.999997 +/- 4.834e-08 (4.834e-06%) b[5] = 1.43934 +/- 1.718e-08 (1.194e-06%) c[5] = -1.5708 +/- 9.615e-08 (6.121e-06%) d[5] = -9.45404e-07 +/- 3.48e-08 (3.681%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.030 1.000 c[5] 0.054 -0.862 1.000 d[5] -0.115 0.140 -0.074 1.000 ******************************************************************************* Sun Oct 12 12:01:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.5621080381e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 3 5.0868670848e-12 -1.18e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.08687e-12 rel. change during last iteration : -1.18456e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.84155e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.07439e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.97e-08 (4.97e-06%) bb[5] = 1.43934 +/- 1.685e-08 (1.171e-06%) cc[5] = -3.14159 +/- 9.926e-08 (3.159e-06%) dd[5] = -7.07968e-09 +/- 3.534e-08 (499.2%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 12:01:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 6.1983365279e-12 0.00e+00 2.92e+00 -9.999968e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 3 5.2329717932e-12 -8.39e-03 2.92e-03 -9.999969e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.23297e-12 rel. change during last iteration : -8.39121e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88207e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3063e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.999997 +/- 4.993e-08 (4.993e-06%) b[6] = 1.43934 +/- 1.781e-08 (1.238e-06%) c[6] = -1.5708 +/- 9.977e-08 (6.352e-06%) d[6] = -9.45404e-07 +/- 3.598e-08 (3.806%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.031 1.000 c[6] 0.055 -0.863 1.000 d[6] -0.116 0.142 -0.076 1.000 ******************************************************************************* Sun Oct 12 12:01:24 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.8259852751e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 3 5.1358542414e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13585e-12 rel. change during last iteration : -1.6283e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8552e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.15215e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 4.998e-08 (4.998e-06%) bb[6] = 1.43934 +/- 1.689e-08 (1.173e-06%) cc[6] = -3.14159 +/- 9.964e-08 (3.172e-06%) dd[6] = -7.07968e-09 +/- 3.55e-08 (501.5%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 12:01:25 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 5.8005676403e-12 0.00e+00 2.92e+00 -9.999969e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 3 5.3852839740e-12 -4.77e-02 2.92e-03 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.38528e-12 rel. change during last iteration : -4.76938e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92371e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.54807e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.999997 +/- 5.062e-08 (5.062e-06%) b[7] = 1.43934 +/- 1.812e-08 (1.259e-06%) c[7] = -1.5708 +/- 1.016e-07 (6.469e-06%) d[7] = -9.45404e-07 +/- 3.651e-08 (3.862%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.033 1.000 c[7] 0.056 -0.864 1.000 d[7] -0.118 0.144 -0.079 1.000 ******************************************************************************* Sun Oct 12 12:01:25 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2673460818e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 3 5.2055595910e-12 -1.04e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.20556e-12 rel. change during last iteration : -1.0406e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87451e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.26279e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.035e-08 (5.035e-06%) bb[7] = 1.43934 +/- 1.696e-08 (1.178e-06%) cc[7] = -3.14159 +/- 1.002e-07 (3.19e-06%) dd[7] = -7.07968e-09 +/- 3.573e-08 (504.7%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Oct 12 12:01:25 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 5.9714682529e-12 0.00e+00 2.93e+00 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 3 4.9148467107e-12 -2.99e-02 2.93e-03 -9.999969e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 4.91485e-12 rel. change during last iteration : -2.98792e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79309e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80134e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.999997 +/- 4.832e-08 (4.832e-06%) b[8] = 1.43934 +/- 1.736e-08 (1.206e-06%) c[8] = -1.5708 +/- 9.746e-08 (6.205e-06%) d[8] = -9.45404e-07 +/- 3.489e-08 (3.69%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.034 1.000 c[8] 0.058 -0.865 1.000 d[8] -0.120 0.146 -0.082 1.000 ******************************************************************************* Sun Oct 12 12:01:26 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.5339264880e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 3 5.4847648817e-12 -4.53e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48476e-12 rel. change during last iteration : -4.53476e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95059e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70598e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.172e-08 (5.172e-06%) bb[8] = 1.43934 +/- 1.736e-08 (1.206e-06%) cc[8] = -3.14159 +/- 1.028e-07 (3.271e-06%) dd[8] = -7.07968e-09 +/- 3.667e-08 (518%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Oct 12 12:01:26 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 5.8904371882e-12 0.00e+00 2.93e+00 -9.999969e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 3 5.2468287657e-12 -2.00e-02 2.93e-03 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.24683e-12 rel. change during last iteration : -1.9966e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88588e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.3283e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.999997 +/- 4.989e-08 (4.989e-06%) b[9] = 1.43934 +/- 1.799e-08 (1.25e-06%) c[9] = -1.5708 +/- 1.011e-07 (6.436e-06%) d[9] = -9.45404e-07 +/- 3.606e-08 (3.814%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.036 1.000 c[9] 0.059 -0.866 1.000 d[9] -0.121 0.148 -0.085 1.000 ******************************************************************************* Sun Oct 12 12:01:26 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2611878347e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 3 5.2150352090e-12 -1.13e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.21504e-12 rel. change during last iteration : -1.12534e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87712e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.27783e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.047e-08 (5.047e-06%) bb[9] = 1.43934 +/- 1.688e-08 (1.173e-06%) cc[9] = -3.14159 +/- 1.001e-07 (3.187e-06%) dd[9] = -7.07968e-09 +/- 3.575e-08 (505%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Oct 12 12:01:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 5.7444669877e-12 0.00e+00 2.93e+00 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 3 5.0273229930e-12 -2.15e-02 2.93e-03 -9.999969e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.02732e-12 rel. change during last iteration : -2.14505e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82487e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97988e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.999997 +/- 4.881e-08 (4.881e-06%) b[10] = 1.43934 +/- 1.767e-08 (1.227e-06%) c[10] = -1.5708 +/- 9.936e-08 (6.325e-06%) d[10] = -9.45404e-07 +/- 3.531e-08 (3.735%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.037 1.000 c[10] 0.060 -0.867 1.000 d[10] -0.123 0.150 -0.087 1.000 ******************************************************************************* Sun Oct 12 12:01:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.5449657530e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 3 5.4988771699e-12 -7.06e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.49888e-12 rel. change during last iteration : -7.06478e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95438e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.72838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.186e-08 (5.186e-06%) bb[10] = 1.43934 +/- 1.729e-08 (1.201e-06%) cc[10] = -3.14159 +/- 1.027e-07 (3.269e-06%) dd[10] = -7.07968e-09 +/- 3.67e-08 (518.4%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Oct 12 12:01:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 6.0088783398e-12 0.00e+00 2.93e+00 -9.999969e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 3 5.1918957071e-12 -1.78e-02 2.93e-03 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.1919e-12 rel. change during last iteration : -1.77972e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87073e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.2411e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.999997 +/- 4.957e-08 (4.957e-06%) b[11] = 1.43934 +/- 1.801e-08 (1.251e-06%) c[11] = -1.5708 +/- 1.014e-07 (6.454e-06%) d[11] = -9.45404e-07 +/- 3.589e-08 (3.796%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.039 1.000 c[11] 0.061 -0.867 1.000 d[11] -0.124 0.152 -0.090 1.000 ******************************************************************************* Sun Oct 12 12:01:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.2543735130e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 3 5.1708158023e-12 0.00e+00 3.26e+02 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.17082e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8649e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.20764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.033e-08 (5.033e-06%) bb[11] = 1.43934 +/- 1.673e-08 (1.162e-06%) cc[11] = -3.14159 +/- 9.951e-08 (3.167e-06%) dd[11] = -7.07968e-09 +/- 3.558e-08 (502.6%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Oct 12 12:01:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.5103807572e-12 0.00e+00 2.93e+00 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 3 5.1656458544e-12 -1.21e-02 2.93e-03 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.16565e-12 rel. change during last iteration : -1.20773e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86347e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.19944e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.999997 +/- 4.941e-08 (4.941e-06%) b[12] = 1.43934 +/- 1.801e-08 (1.251e-06%) c[12] = -1.5708 +/- 1.015e-07 (6.463e-06%) d[12] = -9.45404e-07 +/- 3.581e-08 (3.788%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.040 1.000 c[12] 0.062 -0.868 1.000 d[12] -0.126 0.153 -0.093 1.000 ******************************************************************************* Sun Oct 12 12:01:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 6.0838948359e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 3 5.8753818563e-12 -3.87e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.87538e-12 rel. change during last iteration : -3.87143e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.05385e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.326e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.368e-08 (5.368e-06%) bb[12] = 1.43934 +/- 1.778e-08 (1.236e-06%) cc[12] = -3.14159 +/- 1.06e-07 (3.373e-06%) dd[12] = -7.07968e-09 +/- 3.792e-08 (535.6%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Oct 12 12:01:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 5.7433790266e-12 0.00e+00 2.93e+00 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 3 5.1483495885e-12 -2.15e-02 2.93e-03 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.14835e-12 rel. change during last iteration : -2.15422e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85867e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.999997 +/- 4.929e-08 (4.929e-06%) b[13] = 1.43934 +/- 1.803e-08 (1.253e-06%) c[13] = -1.5708 +/- 1.018e-07 (6.479e-06%) d[13] = -9.45404e-07 +/- 3.576e-08 (3.782%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.042 1.000 c[13] 0.063 -0.869 1.000 d[13] -0.127 0.155 -0.095 1.000 ******************************************************************************* Sun Oct 12 12:01:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.3384258594e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 3 5.2078052180e-12 0.00e+00 3.27e+03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.20781e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87513e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.26636e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.058e-08 (5.058e-06%) bb[13] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[13] = -3.14159 +/- 9.968e-08 (3.173e-06%) dd[13] = -7.07968e-09 +/- 3.569e-08 (504.2%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Oct 12 12:01:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 5.6280469018e-12 0.00e+00 2.93e+00 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 3 5.2385368101e-12 -1.79e-03 2.93e-03 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.23854e-12 rel. change during last iteration : -1.78744e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8836e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.31514e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.999997 +/- 4.969e-08 (4.969e-06%) b[14] = 1.43934 +/- 1.824e-08 (1.268e-06%) c[14] = -1.5708 +/- 1.031e-07 (6.562e-06%) d[14] = -9.45404e-07 +/- 3.608e-08 (3.817%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.043 1.000 c[14] 0.064 -0.870 1.000 d[14] -0.128 0.157 -0.098 1.000 ******************************************************************************* Sun Oct 12 12:01:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6433416769e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 3 5.4889380242e-12 -5.80e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48894e-12 rel. change during last iteration : -5.80138e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95171e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.7126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.196e-08 (5.196e-06%) bb[14] = 1.43934 +/- 1.711e-08 (1.188e-06%) cc[14] = -3.14159 +/- 1.022e-07 (3.255e-06%) dd[14] = -7.07968e-09 +/- 3.664e-08 (517.5%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Oct 12 12:01:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.5247548047e-12 0.00e+00 2.93e+00 -9.999968e-01 1.439343e+00 -1.570796e+00 -9.454035e-07 3 5.1045529568e-12 -4.85e-02 2.93e-03 -9.999969e-01 1.439343e+00 -1.570795e+00 -9.454035e-07 After 3 iterations the fit converged. final sum of squares of residuals : 5.10455e-12 rel. change during last iteration : -4.84598e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.84648e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.10247e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.999997 +/- 4.902e-08 (4.902e-06%) b[15] = 1.43934 +/- 1.806e-08 (1.255e-06%) c[15] = -1.5708 +/- 1.022e-07 (6.503e-06%) d[15] = -9.45404e-07 +/- 3.563e-08 (3.768%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.045 1.000 c[15] 0.065 -0.871 1.000 d[15] -0.130 0.159 -0.101 1.000 ******************************************************************************* Sun Oct 12 12:01:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.5811120386e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 3 5.5072003826e-12 -3.82e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5072e-12 rel. change during last iteration : -3.81902e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95662e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.74159e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.208e-08 (5.208e-06%) bb[15] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[15] = -3.14159 +/- 1.023e-07 (3.257e-06%) dd[15] = -7.07968e-09 +/- 3.669e-08 (518.3%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Oct 12 12:01:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 1.1706455398e-10 0.00e+00 2.93e+00 -9.999969e-01 1.439343e+00 -1.570795e+00 -9.454035e-07 4 5.0411498526e-12 -2.89e-06 2.93e+01 -9.999968e-01 1.439343e+00 -1.570797e+00 -9.454035e-07 After 4 iterations the fit converged. final sum of squares of residuals : 5.04115e-12 rel. change during last iteration : -2.88706e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82875e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.00183e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.999997 +/- 4.868e-08 (4.868e-06%) b[16] = 1.43934 +/- 1.8e-08 (1.251e-06%) c[16] = -1.5708 +/- 1.019e-07 (6.489e-06%) d[16] = -9.45404e-07 +/- 3.542e-08 (3.746%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.046 1.000 c[16] 0.066 -0.872 1.000 d[16] -0.131 0.161 -0.103 1.000 ******************************************************************************* Sun Oct 12 12:01:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5858813382e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 3 5.5328874838e-12 -8.26e-05 3.29e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -7.079676e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.53289e-12 rel. change during last iteration : -8.25654e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9635e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.78236e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.224e-08 (5.224e-06%) bb[16] = 1.43934 +/- 1.709e-08 (1.187e-06%) cc[16] = -3.14159 +/- 1.025e-07 (3.262e-06%) dd[16] = -7.07968e-09 +/- 3.677e-08 (519.4%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Oct 12 12:05:55 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 2.9934320040e-01 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 13 1.0874837362e-14 -3.19e-04 2.23e-11 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 After 13 iterations the fit converged. final sum of squares of residuals : 1.08748e-14 rel. change during last iteration : -3.19183e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.31384e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.72616e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.0445274 +/- 2.292e-09 (5.148e-06%) b[1] = 1.43934 +/- 1.768e-08 (1.228e-06%) c[1] = 6.28833 +/- 1.034e-07 (1.644e-06%) d[1] = 9.75253e-09 +/- 1.636e-09 (16.77%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.009 1.000 c[1] -0.021 -0.868 1.000 d[1] -0.100 0.121 -0.157 1.000 ******************************************************************************* Sun Oct 12 12:05:56 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476617163e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2271758368e-12 -7.94e-05 3.04e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.22718e-12 rel. change during last iteration : -7.94285e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88047e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.2971e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.024e-08 (5.024e-06%) bb[1] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[1] = -3.14159 +/- 1.01e-07 (3.215e-06%) dd[1] = -2.12939e-09 +/- 3.586e-08 (1684%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Oct 12 12:05:56 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 4.7469713668e-02 0.00e+00 1.66e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 3.6053949941e-14 -5.57e-04 1.66e-07 -8.227505e-02 1.439343e+00 6.285318e+00 9.752483e-09 After 6 iterations the fit converged. final sum of squares of residuals : 3.60539e-14 rel. change during last iteration : -5.57061e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39225e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.72285e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.0822751 +/- 4.176e-09 (5.076e-06%) b[2] = 1.43934 +/- 1.738e-08 (1.208e-06%) c[2] = 6.28532 +/- 1.018e-07 (1.62e-06%) d[2] = 9.75248e-09 +/- 2.977e-09 (30.53%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.008 1.000 c[2] -0.022 -0.868 1.000 d[2] -0.098 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 12:05:56 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.4363642721e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3157163774e-12 -3.30e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31572e-12 rel. change during last iteration : -3.3018e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43765e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.07e-08 (5.07e-06%) bb[2] = 1.43934 +/- 1.737e-08 (1.207e-06%) cc[2] = -3.14159 +/- 1.018e-07 (3.239e-06%) dd[2] = -2.12939e-09 +/- 3.615e-08 (1698%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 12:05:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 2.1160006049e-02 0.00e+00 3.08e-01 -8.227505e-02 1.439343e+00 6.285318e+00 9.752483e-09 5 6.4157857723e-14 -1.63e-01 3.08e-06 -1.074973e-01 1.439343e+00 6.284069e+00 9.752461e-09 After 5 iterations the fit converged. final sum of squares of residuals : 6.41579e-14 rel. change during last iteration : -1.62692e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.1912e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.01838e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.107497 +/- 5.575e-09 (5.186e-06%) b[3] = 1.43934 +/- 1.77e-08 (1.23e-06%) c[3] = 6.28407 +/- 1.039e-07 (1.653e-06%) d[3] = 9.75246e-09 +/- 3.971e-09 (40.72%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.007 1.000 c[3] -0.023 -0.868 1.000 d[3] -0.097 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 12:05:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.0842988254e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.0512192199e-12 -1.62e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.05122e-12 rel. change during last iteration : -1.62255e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83157e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01781e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.946e-08 (4.946e-06%) bb[3] = 1.43934 +/- 1.689e-08 (1.173e-06%) cc[3] = -3.14159 +/- 9.91e-08 (3.154e-06%) dd[3] = -2.12939e-09 +/- 3.523e-08 (1655%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 12:05:57 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 2.6073933377e-03 0.00e+00 4.03e-01 -1.074973e-01 1.439343e+00 6.284069e+00 9.752461e-09 5 9.0281217386e-14 -6.69e-04 4.03e-06 -1.163542e-01 1.439343e+00 6.283186e+00 9.752456e-09 After 5 iterations the fit converged. final sum of squares of residuals : 9.02812e-14 rel. change during last iteration : -6.69471e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.78555e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.43304e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.116354 +/- 6.618e-09 (5.688e-06%) b[4] = 1.43934 +/- 1.935e-08 (1.344e-06%) c[4] = 6.28319 +/- 1.138e-07 (1.81e-06%) d[4] = 9.75246e-09 +/- 4.709e-09 (48.29%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.006 1.000 c[4] -0.024 -0.868 1.000 d[4] -0.095 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 12:05:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5894738806e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.4558490001e-12 -1.96e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.45585e-12 rel. change during last iteration : -1.96287e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9428e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66008e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.144e-08 (5.144e-06%) bb[4] = 1.43934 +/- 1.75e-08 (1.216e-06%) cc[4] = -3.14159 +/- 1.029e-07 (3.275e-06%) dd[4] = -2.12939e-09 +/- 3.661e-08 (1719%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 12:05:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.5951098061e-03 0.00e+00 4.37e-01 -1.163542e-01 1.439343e+00 6.283186e+00 9.752456e-09 5 7.3302494739e-14 0.00e+00 4.37e+01 -1.074973e-01 1.439343e+00 6.282302e+00 9.752456e-09 After 5 iterations the fit converged. final sum of squares of residuals : 7.33025e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.41106e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16353e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.107497 +/- 5.967e-09 (5.551e-06%) b[5] = 1.43934 +/- 1.882e-08 (1.308e-06%) c[5] = 6.2823 +/- 1.109e-07 (1.765e-06%) d[5] = 9.75246e-09 +/- 4.242e-09 (43.5%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.004 1.000 c[5] -0.025 -0.868 1.000 d[5] -0.094 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 12:05:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4205861635e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 4.9021954737e-12 -1.47e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.9022e-12 rel. change during last iteration : -1.47409e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78949e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.879e-08 (4.879e-06%) bb[5] = 1.43934 +/- 1.654e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.744e-08 (3.102e-06%) dd[5] = -2.12939e-09 +/- 3.469e-08 (1629%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 12:05:59 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 2.1026582032e-02 0.00e+00 4.04e-01 -1.074973e-01 1.439343e+00 6.282302e+00 9.752456e-09 5 3.7403526605e-14 -5.55e-02 4.04e-06 -8.227497e-02 1.439343e+00 6.281053e+00 9.752457e-09 After 5 iterations the fit converged. final sum of squares of residuals : 3.74035e-14 rel. change during last iteration : -5.54642e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.43661e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.93707e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.082275 +/- 4.265e-09 (5.184e-06%) b[6] = 1.43934 +/- 1.753e-08 (1.218e-06%) c[6] = 6.28105 +/- 1.034e-07 (1.646e-06%) d[6] = 9.75246e-09 +/- 3.03e-09 (31.07%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.003 1.000 c[6] -0.026 -0.868 1.000 d[6] -0.092 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 12:05:59 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.0270457879e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2946533484e-12 -2.19e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.29465e-12 rel. change during last iteration : -2.18977e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.899e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.40421e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.074e-08 (5.074e-06%) bb[6] = 1.43934 +/- 1.715e-08 (1.191e-06%) cc[6] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[6] = -2.12939e-09 +/- 3.605e-08 (1693%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 12:05:59 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 4.7021608814e-02 0.00e+00 3.10e-01 -8.227497e-02 1.439343e+00 6.281053e+00 9.752457e-09 6 1.0532830291e-14 -9.48e-04 3.10e-07 -4.452733e-02 1.439343e+00 6.278037e+00 9.752434e-09 After 6 iterations the fit converged. final sum of squares of residuals : 1.05328e-14 rel. change during last iteration : -9.47991e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.29301e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.67188e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.0445273 +/- 2.265e-09 (5.086e-06%) b[7] = 1.43934 +/- 1.715e-08 (1.191e-06%) c[7] = 6.27804 +/- 1.013e-07 (1.614e-06%) d[7] = 9.75243e-09 +/- 1.608e-09 (16.48%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.002 1.000 c[7] -0.027 -0.868 1.000 d[7] -0.091 0.110 -0.152 1.000 ******************************************************************************* Sun Oct 12 12:06:00 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3188610922e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.1805162521e-12 -2.13e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.18052e-12 rel. change during last iteration : -2.13062e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86758e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22304e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.023e-08 (5.023e-06%) bb[7] = 1.43934 +/- 1.692e-08 (1.175e-06%) cc[7] = -3.14159 +/- 9.997e-08 (3.182e-06%) dd[7] = -2.12939e-09 +/- 3.565e-08 (1674%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Oct 12 12:06:00 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 6.5317153477e-02 0.00e+00 1.68e-01 -4.452733e-02 1.439343e+00 6.278037e+00 9.752434e-09 11 1.9970613891e-06 -4.38e-01 1.68e-05 5.465973e-05 2.323746e+00 1.919404e+01 9.731714e-09 After 11 iterations the fit converged. final sum of squares of residuals : 1.99706e-06 rel. change during last iteration : -4.37742e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000178043 variance of residuals (reduced chisquare) = WSSR/ndf : 3.16994e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 5.46597e-05 +/- 3.113e-05 (56.95%) b[8] = 2.32375 +/- 0.192 (8.261%) c[8] = 19.194 +/- 1.104 (5.752%) d[8] = 9.73171e-09 +/- 2.2e-05 (2.261e+05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.004 1.000 c[8] 0.030 -0.862 1.000 d[8] 0.085 -0.110 0.125 1.000 ******************************************************************************* Sun Oct 12 12:06:00 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3527316511e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2242300554e-12 -6.22e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22423e-12 rel. change during last iteration : -6.22474e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87966e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29243e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.048e-08 (5.048e-06%) bb[8] = 1.43934 +/- 1.694e-08 (1.177e-06%) cc[8] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[8] = -2.12939e-09 +/- 3.579e-08 (1681%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Oct 12 12:06:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 6.5163462867e-02 0.00e+00 4.56e-04 5.465973e-05 2.323746e+00 1.919404e+01 9.731714e-09 7 6.5149746834e-02 -9.89e-01 4.56e-02 4.995347e-05 2.357371e-01 -8.504609e+01 9.732546e-09 After 7 iterations the fit converged. final sum of squares of residuals : 0.0651497 rel. change during last iteration : -9.88949e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0321578 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00103412 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 4.99535e-05 +/- 0.06325 (1.266e+05%) b[9] = 0.235737 +/- 277.9 (1.179e+05%) c[9] = -85.0461 +/- 868.9 (1022%) d[9] = 9.73255e-09 +/- 0.06369 (6.544e+08%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.976 1.000 c[9] 0.819 -0.914 1.000 d[9] 0.993 -0.964 0.779 1.000 ******************************************************************************* Sun Oct 12 12:06:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.1066223570e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.0456432729e-12 -2.24e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.04564e-12 rel. change during last iteration : -2.24014e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83001e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.00896e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.964e-08 (4.964e-06%) bb[9] = 1.43934 +/- 1.661e-08 (1.154e-06%) cc[9] = -3.14159 +/- 9.848e-08 (3.135e-06%) dd[9] = -2.12939e-09 +/- 3.516e-08 (1651%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Oct 12 12:06:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 2.2214006202e-01 0.00e+00 1.56e-03 4.995347e-05 2.357371e-01 -8.504609e+01 9.732546e-09 1 2.2213896236e-01 -4.95e-01 1.56e-01 4.995369e-05 2.357409e-01 -8.500469e+01 9.732546e-09 After 1 iterations the fit converged. final sum of squares of residuals : 0.222139 rel. change during last iteration : -4.95031e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0593803 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00352602 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 4.99537e-05 +/- 0.1088 (2.179e+05%) b[10] = 0.235741 +/- 498.7 (2.116e+05%) c[10] = -85.0047 +/- 1612 (1897%) d[10] = 9.73255e-09 +/- 0.1079 (1.108e+09%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.974 1.000 c[10] 0.811 -0.910 1.000 d[10] 0.990 -0.957 0.757 1.000 ******************************************************************************* Sun Oct 12 12:06:01 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6941681029e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.6433157388e-12 -1.47e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64332e-12 rel. change during last iteration : -1.47447e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99293e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.254e-08 (5.254e-06%) bb[10] = 1.43934 +/- 1.752e-08 (1.217e-06%) cc[10] = -3.14159 +/- 1.04e-07 (3.312e-06%) dd[10] = -2.12939e-09 +/- 3.718e-08 (1746%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Oct 12 12:06:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 3.7861293391e-01 0.00e+00 1.58e-03 4.995369e-05 2.357409e-01 -8.500469e+01 9.732546e-09 2 3.7808732458e-01 0.00e+00 1.58e+04 4.102266e-04 2.251858e+00 9.318682e+01 9.734850e-09 After 2 iterations the fit converged. final sum of squares of residuals : 0.378087 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0774686 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00600139 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.000410227 +/- 0.01346 (3282%) b[11] = 2.25186 +/- 11.4 (506.1%) c[11] = 93.1868 +/- 67.87 (72.83%) d[11] = 9.73485e-09 +/- 0.009547 (9.807e+07%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.080 1.000 c[11] 0.078 -0.875 1.000 d[11] -0.084 0.045 0.005 1.000 ******************************************************************************* Sun Oct 12 12:06:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3203490898e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2515291433e-12 -1.51e-05 3.26e-01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25153e-12 rel. change during last iteration : -1.51185e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88717e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33576e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.072e-08 (5.072e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.192e-06%) dd[11] = -2.12939e-09 +/- 3.586e-08 (1684%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Oct 12 12:06:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 4.4227845177e-01 0.00e+00 1.36e-02 4.102266e-04 2.251858e+00 9.318682e+01 9.734850e-09 1 4.4227482151e-01 -8.21e-01 1.36e-01 4.102923e-04 2.254314e+00 9.312931e+01 9.734850e-09 After 1 iterations the fit converged. final sum of squares of residuals : 0.442275 rel. change during last iteration : -8.20816e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0837868 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00702024 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.000410292 +/- 0.01457 (3550%) b[12] = 2.25431 +/- 12.3 (545.7%) c[12] = 93.1293 +/- 73.35 (78.76%) d[12] = 9.73485e-09 +/- 0.01033 (1.061e+08%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.077 1.000 c[12] 0.075 -0.875 1.000 d[12] -0.086 0.048 0.002 1.000 ******************************************************************************* Sun Oct 12 12:06:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.6461984594e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.4471198916e-12 -2.81e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.44712e-12 rel. change during last iteration : -2.8058e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94045e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.64622e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.169e-08 (5.169e-06%) bb[12] = 1.43934 +/- 1.712e-08 (1.19e-06%) cc[12] = -3.14159 +/- 1.02e-07 (3.248e-06%) dd[12] = -2.12939e-09 +/- 3.651e-08 (1715%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Oct 12 12:06:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 3.7684840365e-01 0.00e+00 1.36e-02 4.102923e-04 2.254314e+00 9.312931e+01 9.734850e-09 2 3.7684063468e-01 -9.73e-01 1.36e-01 4.104145e-04 2.258943e+00 9.311847e+01 9.734850e-09 After 2 iterations the fit converged. final sum of squares of residuals : 0.376841 rel. change during last iteration : -9.72906e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0773408 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0059816 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.000410414 +/- 0.01343 (3273%) b[13] = 2.25894 +/- 11.39 (504%) c[13] = 93.1185 +/- 67.87 (72.89%) d[13] = 9.73485e-09 +/- 0.009532 (9.791e+07%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.081 1.000 c[13] 0.078 -0.875 1.000 d[13] -0.083 0.049 0.001 1.000 ******************************************************************************* Sun Oct 12 12:06:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5718873549e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.4303035924e-12 -5.44e-05 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4303e-12 rel. change during last iteration : -5.4389e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9359e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.61953e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.164e-08 (5.164e-06%) bb[13] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[13] = -3.14159 +/- 1.018e-07 (3.24e-06%) dd[13] = -2.12939e-09 +/- 3.645e-08 (1712%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Oct 12 12:06:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 2.2030274862e-01 0.00e+00 1.36e-02 4.104145e-04 2.258943e+00 9.311847e+01 9.734850e-09 3 2.2026336085e-01 -1.43e-01 1.36e-01 4.151982e-04 2.429181e+00 9.244261e+01 9.734852e-09 After 3 iterations the fit converged. final sum of squares of residuals : 0.220263 rel. change during last iteration : -1.43289e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.059129 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00349624 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.000415198 +/- 0.01015 (2445%) b[14] = 2.42918 +/- 8.784 (361.6%) c[14] = 92.4426 +/- 49.88 (53.96%) d[14] = 9.73485e-09 +/- 0.007268 (7.466e+07%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.045 1.000 c[14] 0.048 -0.867 1.000 d[14] -0.028 0.098 -0.064 1.000 ******************************************************************************* Sun Oct 12 12:06:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4814370793e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3424697713e-12 -4.53e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.34247e-12 rel. change during last iteration : -4.53388e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91206e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.48011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.126e-08 (5.126e-06%) bb[14] = 1.43934 +/- 1.688e-08 (1.172e-06%) cc[14] = -3.14159 +/- 1.009e-07 (3.211e-06%) dd[14] = -2.12939e-09 +/- 3.614e-08 (1697%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Oct 12 12:06:04 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 6.4314392006e-02 0.00e+00 1.36e-02 4.151982e-04 2.429181e+00 9.244261e+01 9.734852e-09 29 6.3468227839e-02 -9.71e-01 1.36e+00 6.975374e-04 1.807746e+00 9.878731e+01 9.734943e-09 After 29 iterations the fit converged. final sum of squares of residuals : 0.0634682 rel. change during last iteration : -9.71263e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0317401 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00100743 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.000697537 +/- 0.005423 (777.5%) b[15] = 1.80775 +/- 2.849 (157.6%) c[15] = 98.7873 +/- 16.06 (16.26%) d[15] = 9.73494e-09 +/- 0.003912 (4.019e+07%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.035 1.000 c[15] 0.039 -0.867 1.000 d[15] -0.029 0.118 -0.075 1.000 ******************************************************************************* Sun Oct 12 12:06:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.3709805984e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3319000486e-12 -2.57e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.3319e-12 rel. change during last iteration : -2.5655e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90918e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46333e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.124e-08 (5.124e-06%) bb[15] = 1.43934 +/- 1.682e-08 (1.168e-06%) cc[15] = -3.14159 +/- 1.007e-07 (3.205e-06%) dd[15] = -2.12939e-09 +/- 3.61e-08 (1695%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Oct 12 12:06:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 1.9895062996e-05 0.00e+00 2.41e-02 6.975374e-04 1.807746e+00 9.878731e+01 9.734943e-09 72 3.7062950288e-19 -2.62e-04 2.41e-12 2.480852e-04 1.439343e+00 9.896013e+01 9.236510e-09 After 72 iterations the fit converged. final sum of squares of residuals : 3.7063e-19 rel. change during last iteration : -2.6191e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.67008e-11 variance of residuals (reduced chisquare) = WSSR/ndf : 5.88301e-21 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = 0.000248085 +/- 1.318e-11 (5.313e-06%) b[16] = 1.43934 +/- 1.967e-08 (1.367e-06%) c[16] = 98.9601 +/- 1.116e-07 (1.128e-07%) d[16] = 9.23651e-09 +/- 9.603e-12 (0.104%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.046 1.000 c[16] 0.040 -0.872 1.000 d[16] -0.121 -0.161 0.103 1.000 ******************************************************************************* Sun Oct 12 12:06:05 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5658314549e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.5065871735e-12 0.00e+00 3.29e+03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.50659e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95645e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.74061e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.211e-08 (5.211e-06%) bb[16] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[16] = -3.14159 +/- 1.022e-07 (3.254e-06%) dd[16] = -2.12939e-09 +/- 3.668e-08 (1723%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Oct 12 12:48:14 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 2.9934320040e-01 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 13 1.0874837362e-14 -3.19e-04 2.23e-11 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 After 13 iterations the fit converged. final sum of squares of residuals : 1.08748e-14 rel. change during last iteration : -3.19183e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.31384e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.72616e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.0445274 +/- 2.292e-09 (5.148e-06%) b[1] = 1.43934 +/- 1.768e-08 (1.228e-06%) c[1] = 6.28833 +/- 1.034e-07 (1.644e-06%) d[1] = 9.75253e-09 +/- 1.636e-09 (16.77%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.009 1.000 c[1] -0.021 -0.868 1.000 d[1] -0.100 0.121 -0.157 1.000 ******************************************************************************* Sun Oct 12 12:48:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476617163e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2271758368e-12 -7.94e-05 3.04e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.22718e-12 rel. change during last iteration : -7.94285e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88047e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.2971e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.024e-08 (5.024e-06%) bb[1] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[1] = -3.14159 +/- 1.01e-07 (3.215e-06%) dd[1] = -2.12939e-09 +/- 3.586e-08 (1684%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Oct 12 12:48:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 4.7469713668e-02 0.00e+00 1.66e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 3.6053949941e-14 -5.57e-04 1.66e-07 -8.227505e-02 1.439343e+00 6.285318e+00 9.752483e-09 After 6 iterations the fit converged. final sum of squares of residuals : 3.60539e-14 rel. change during last iteration : -5.57061e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39225e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.72285e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.0822751 +/- 4.176e-09 (5.076e-06%) b[2] = 1.43934 +/- 1.738e-08 (1.208e-06%) c[2] = 6.28532 +/- 1.018e-07 (1.62e-06%) d[2] = 9.75248e-09 +/- 2.977e-09 (30.53%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.008 1.000 c[2] -0.022 -0.868 1.000 d[2] -0.098 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 12:48:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.4363642721e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3157163774e-12 -3.30e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31572e-12 rel. change during last iteration : -3.3018e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43765e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.07e-08 (5.07e-06%) bb[2] = 1.43934 +/- 1.737e-08 (1.207e-06%) cc[2] = -3.14159 +/- 1.018e-07 (3.239e-06%) dd[2] = -2.12939e-09 +/- 3.615e-08 (1698%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 12:48:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 2.1160006049e-02 0.00e+00 3.08e-01 -8.227505e-02 1.439343e+00 6.285318e+00 9.752483e-09 5 6.4157857723e-14 -1.63e-01 3.08e-06 -1.074973e-01 1.439343e+00 6.284069e+00 9.752461e-09 After 5 iterations the fit converged. final sum of squares of residuals : 6.41579e-14 rel. change during last iteration : -1.62692e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.1912e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.01838e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.107497 +/- 5.575e-09 (5.186e-06%) b[3] = 1.43934 +/- 1.77e-08 (1.23e-06%) c[3] = 6.28407 +/- 1.039e-07 (1.653e-06%) d[3] = 9.75246e-09 +/- 3.971e-09 (40.72%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.007 1.000 c[3] -0.023 -0.868 1.000 d[3] -0.097 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 12:48:40 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.0842988254e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.0512192199e-12 -1.62e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.05122e-12 rel. change during last iteration : -1.62255e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83157e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01781e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.946e-08 (4.946e-06%) bb[3] = 1.43934 +/- 1.689e-08 (1.173e-06%) cc[3] = -3.14159 +/- 9.91e-08 (3.154e-06%) dd[3] = -2.12939e-09 +/- 3.523e-08 (1655%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 12:48:40 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 2.6073933377e-03 0.00e+00 4.03e-01 -1.074973e-01 1.439343e+00 6.284069e+00 9.752461e-09 5 9.0281217386e-14 -6.69e-04 4.03e-06 -1.163542e-01 1.439343e+00 6.283186e+00 9.752456e-09 After 5 iterations the fit converged. final sum of squares of residuals : 9.02812e-14 rel. change during last iteration : -6.69471e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.78555e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.43304e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.116354 +/- 6.618e-09 (5.688e-06%) b[4] = 1.43934 +/- 1.935e-08 (1.344e-06%) c[4] = 6.28319 +/- 1.138e-07 (1.81e-06%) d[4] = 9.75246e-09 +/- 4.709e-09 (48.29%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.006 1.000 c[4] -0.024 -0.868 1.000 d[4] -0.095 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 12:48:42 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5894738806e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.4558490001e-12 -1.96e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.45585e-12 rel. change during last iteration : -1.96287e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9428e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66008e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.144e-08 (5.144e-06%) bb[4] = 1.43934 +/- 1.75e-08 (1.216e-06%) cc[4] = -3.14159 +/- 1.029e-07 (3.275e-06%) dd[4] = -2.12939e-09 +/- 3.661e-08 (1719%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 12:48:43 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 2.5951098061e-03 0.00e+00 4.37e-01 -1.163542e-01 1.439343e+00 6.283186e+00 9.752456e-09 5 7.3302494739e-14 0.00e+00 4.37e+01 -1.074973e-01 1.439343e+00 6.282302e+00 9.752456e-09 After 5 iterations the fit converged. final sum of squares of residuals : 7.33025e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.41106e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16353e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.107497 +/- 5.967e-09 (5.551e-06%) b[5] = 1.43934 +/- 1.882e-08 (1.308e-06%) c[5] = 6.2823 +/- 1.109e-07 (1.765e-06%) d[5] = 9.75246e-09 +/- 4.242e-09 (43.5%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.004 1.000 c[5] -0.025 -0.868 1.000 d[5] -0.094 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 12:48:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4205861635e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 4.9021954737e-12 -1.47e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.9022e-12 rel. change during last iteration : -1.47409e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78949e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.879e-08 (4.879e-06%) bb[5] = 1.43934 +/- 1.654e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.744e-08 (3.102e-06%) dd[5] = -2.12939e-09 +/- 3.469e-08 (1629%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 12:48:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 2.1026582032e-02 0.00e+00 4.04e-01 -1.074973e-01 1.439343e+00 6.282302e+00 9.752456e-09 5 3.7403526605e-14 -5.55e-02 4.04e-06 -8.227497e-02 1.439343e+00 6.281053e+00 9.752457e-09 After 5 iterations the fit converged. final sum of squares of residuals : 3.74035e-14 rel. change during last iteration : -5.54642e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.43661e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.93707e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.082275 +/- 4.265e-09 (5.184e-06%) b[6] = 1.43934 +/- 1.753e-08 (1.218e-06%) c[6] = 6.28105 +/- 1.034e-07 (1.646e-06%) d[6] = 9.75246e-09 +/- 3.03e-09 (31.07%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.003 1.000 c[6] -0.026 -0.868 1.000 d[6] -0.092 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 12:48:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.0270457879e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2946533484e-12 -2.19e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.29465e-12 rel. change during last iteration : -2.18977e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.899e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.40421e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.074e-08 (5.074e-06%) bb[6] = 1.43934 +/- 1.715e-08 (1.191e-06%) cc[6] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[6] = -2.12939e-09 +/- 3.605e-08 (1693%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 12:48:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 4.7021608814e-02 0.00e+00 3.10e-01 -8.227497e-02 1.439343e+00 6.281053e+00 9.752457e-09 6 1.0532830291e-14 -9.48e-04 3.10e-07 -4.452733e-02 1.439343e+00 6.278037e+00 9.752434e-09 After 6 iterations the fit converged. final sum of squares of residuals : 1.05328e-14 rel. change during last iteration : -9.47991e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.29301e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.67188e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.0445273 +/- 2.265e-09 (5.086e-06%) b[7] = 1.43934 +/- 1.715e-08 (1.191e-06%) c[7] = 6.27804 +/- 1.013e-07 (1.614e-06%) d[7] = 9.75243e-09 +/- 1.608e-09 (16.48%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.002 1.000 c[7] -0.027 -0.868 1.000 d[7] -0.091 0.110 -0.152 1.000 ******************************************************************************* Sun Oct 12 12:48:51 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3188610922e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.1805162521e-12 -2.13e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.18052e-12 rel. change during last iteration : -2.13062e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86758e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22304e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.023e-08 (5.023e-06%) bb[7] = 1.43934 +/- 1.692e-08 (1.175e-06%) cc[7] = -3.14159 +/- 9.997e-08 (3.182e-06%) dd[7] = -2.12939e-09 +/- 3.565e-08 (1674%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Oct 12 12:48:51 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 6.5317153477e-02 0.00e+00 1.68e-01 -4.452733e-02 1.439343e+00 6.278037e+00 9.752434e-09 11 1.9970613891e-06 -4.38e-01 1.68e-05 5.465973e-05 2.323746e+00 1.919404e+01 9.731714e-09 After 11 iterations the fit converged. final sum of squares of residuals : 1.99706e-06 rel. change during last iteration : -4.37742e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000178043 variance of residuals (reduced chisquare) = WSSR/ndf : 3.16994e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 5.46597e-05 +/- 3.113e-05 (56.95%) b[8] = 2.32375 +/- 0.192 (8.261%) c[8] = 19.194 +/- 1.104 (5.752%) d[8] = 9.73171e-09 +/- 2.2e-05 (2.261e+05%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.004 1.000 c[8] 0.030 -0.862 1.000 d[8] 0.085 -0.110 0.125 1.000 ******************************************************************************* Sun Oct 12 12:48:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3527316511e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2242300554e-12 -6.22e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22423e-12 rel. change during last iteration : -6.22474e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87966e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29243e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.048e-08 (5.048e-06%) bb[8] = 1.43934 +/- 1.694e-08 (1.177e-06%) cc[8] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[8] = -2.12939e-09 +/- 3.579e-08 (1681%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Oct 12 12:48:55 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 6.5163462867e-02 0.00e+00 4.56e-04 5.465973e-05 2.323746e+00 1.919404e+01 9.731714e-09 7 6.5149746834e-02 -9.89e-01 4.56e-02 4.995347e-05 2.357371e-01 -8.504609e+01 9.732546e-09 After 7 iterations the fit converged. final sum of squares of residuals : 0.0651497 rel. change during last iteration : -9.88949e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0321578 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00103412 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 4.99535e-05 +/- 0.06325 (1.266e+05%) b[9] = 0.235737 +/- 277.9 (1.179e+05%) c[9] = -85.0461 +/- 868.9 (1022%) d[9] = 9.73255e-09 +/- 0.06369 (6.544e+08%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.976 1.000 c[9] 0.819 -0.914 1.000 d[9] 0.993 -0.964 0.779 1.000 ******************************************************************************* Sun Oct 12 12:50:10 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 2.9934320040e-01 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 13 1.0874837362e-14 -3.19e-04 2.23e-11 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 After 13 iterations the fit converged. final sum of squares of residuals : 1.08748e-14 rel. change during last iteration : -3.19183e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.31384e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.72616e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.0445274 +/- 2.292e-09 (5.148e-06%) b[1] = 1.43934 +/- 1.768e-08 (1.228e-06%) c[1] = 6.28833 +/- 1.034e-07 (1.644e-06%) d[1] = 9.75253e-09 +/- 1.636e-09 (16.77%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.009 1.000 c[1] -0.021 -0.868 1.000 d[1] -0.100 0.121 -0.157 1.000 ******************************************************************************* Sun Oct 12 12:50:15 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476617163e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2271758368e-12 -7.94e-05 3.04e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.22718e-12 rel. change during last iteration : -7.94285e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88047e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.2971e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.024e-08 (5.024e-06%) bb[1] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[1] = -3.14159 +/- 1.01e-07 (3.215e-06%) dd[1] = -2.12939e-09 +/- 3.586e-08 (1684%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Oct 12 12:50:15 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values Current data point ========================= # = 1 out of 67 x = nan z = -0.0822405 Current set of parameters ========================= a[2] = nan b[2] = nan c[2] = nan d[2] = nan BREAK: Function evaluation yields NaN ("not a number") ******************************************************************************* Sun Oct 12 12:50:17 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.4363642721e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3157163774e-12 -3.30e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31572e-12 rel. change during last iteration : -3.3018e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43765e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.07e-08 (5.07e-06%) bb[2] = 1.43934 +/- 1.737e-08 (1.207e-06%) cc[2] = -3.14159 +/- 1.018e-07 (3.239e-06%) dd[2] = -2.12939e-09 +/- 3.615e-08 (1698%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 12:50:17 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values Current data point ========================= # = 1 out of 67 x = nan z = -0.107406 Current set of parameters ========================= a[3] = nan b[3] = nan c[3] = nan d[3] = nan BREAK: Function evaluation yields NaN ("not a number") ******************************************************************************* Sun Oct 12 12:52:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 2.9934320040e-01 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 13 1.0874837362e-14 -3.19e-04 2.23e-11 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 After 13 iterations the fit converged. final sum of squares of residuals : 1.08748e-14 rel. change during last iteration : -3.19183e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.31384e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.72616e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.0445274 +/- 2.292e-09 (5.148e-06%) b[1] = 1.43934 +/- 1.768e-08 (1.228e-06%) c[1] = 6.28833 +/- 1.034e-07 (1.644e-06%) d[1] = 9.75253e-09 +/- 1.636e-09 (16.77%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.009 1.000 c[1] -0.021 -0.868 1.000 d[1] -0.100 0.121 -0.157 1.000 ******************************************************************************* Sun Oct 12 12:52:25 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476617163e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2271758368e-12 -7.94e-05 3.04e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.22718e-12 rel. change during last iteration : -7.94285e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88047e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.2971e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.024e-08 (5.024e-06%) bb[1] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[1] = -3.14159 +/- 1.01e-07 (3.215e-06%) dd[1] = -2.12939e-09 +/- 3.586e-08 (1684%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Oct 12 12:52:26 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 4.7469713668e-02 0.00e+00 1.66e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 3.6053949941e-14 -5.57e-04 1.66e-07 -8.227505e-02 1.439343e+00 6.285318e+00 9.752483e-09 After 6 iterations the fit converged. final sum of squares of residuals : 3.60539e-14 rel. change during last iteration : -5.57061e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39225e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.72285e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.0822751 +/- 4.176e-09 (5.076e-06%) b[2] = 1.43934 +/- 1.738e-08 (1.208e-06%) c[2] = 6.28532 +/- 1.018e-07 (1.62e-06%) d[2] = 9.75248e-09 +/- 2.977e-09 (30.53%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.008 1.000 c[2] -0.022 -0.868 1.000 d[2] -0.098 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 12:52:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.4363642721e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3157163774e-12 -3.30e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31572e-12 rel. change during last iteration : -3.3018e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43765e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.07e-08 (5.07e-06%) bb[2] = 1.43934 +/- 1.737e-08 (1.207e-06%) cc[2] = -3.14159 +/- 1.018e-07 (3.239e-06%) dd[2] = -2.12939e-09 +/- 3.615e-08 (1698%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 12:52:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.3187150267e-01 0.00e+00 1.67e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 10 6.3406749454e-14 -1.50e-04 1.67e-11 -1.074973e-01 1.439343e+00 6.284069e+00 6.344962e-09 After 10 iterations the fit converged. final sum of squares of residuals : 6.34067e-14 rel. change during last iteration : -1.49774e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.17247e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00646e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.107497 +/- 5.542e-09 (5.156e-06%) b[3] = 1.43934 +/- 1.76e-08 (1.223e-06%) c[3] = 6.28407 +/- 1.033e-07 (1.643e-06%) d[3] = 6.34496e-09 +/- 3.948e-09 (62.22%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.007 1.000 c[3] -0.023 -0.868 1.000 d[3] -0.097 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 12:52:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.0842988254e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.0512192199e-12 -1.62e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.05122e-12 rel. change during last iteration : -1.62255e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83157e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01781e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.946e-08 (4.946e-06%) bb[3] = 1.43934 +/- 1.689e-08 (1.173e-06%) cc[3] = -3.14159 +/- 9.91e-08 (3.154e-06%) dd[3] = -2.12939e-09 +/- 3.523e-08 (1655%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 12:52:29 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.7128908424e-01 0.00e+00 1.67e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 9.0280905583e-14 -3.53e-01 1.67e-07 -1.163542e-01 1.439343e+00 6.283186e+00 9.750175e-09 After 6 iterations the fit converged. final sum of squares of residuals : 9.02809e-14 rel. change during last iteration : -3.52715e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.78554e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.43303e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.116354 +/- 6.618e-09 (5.688e-06%) b[4] = 1.43934 +/- 1.935e-08 (1.344e-06%) c[4] = 6.28319 +/- 1.138e-07 (1.81e-06%) d[4] = 9.75018e-09 +/- 4.709e-09 (48.3%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.006 1.000 c[4] -0.024 -0.868 1.000 d[4] -0.095 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 12:52:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5894738806e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.4558490001e-12 -1.96e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.45585e-12 rel. change during last iteration : -1.96287e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9428e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66008e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.144e-08 (5.144e-06%) bb[4] = 1.43934 +/- 1.75e-08 (1.216e-06%) cc[4] = -3.14159 +/- 1.029e-07 (3.275e-06%) dd[4] = -2.12939e-09 +/- 3.661e-08 (1719%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 12:52:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 1.3144789978e-01 0.00e+00 1.67e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 7.3302234812e-14 -3.65e-01 1.67e-07 -1.074973e-01 1.439343e+00 6.282302e+00 9.750378e-09 After 6 iterations the fit converged. final sum of squares of residuals : 7.33022e-14 rel. change during last iteration : -3.64619e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.41105e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16353e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.107497 +/- 5.967e-09 (5.551e-06%) b[5] = 1.43934 +/- 1.882e-08 (1.308e-06%) c[5] = 6.2823 +/- 1.109e-07 (1.765e-06%) d[5] = 9.75038e-09 +/- 4.242e-09 (43.51%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.004 1.000 c[5] -0.025 -0.868 1.000 d[5] -0.094 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 12:52:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4205861635e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 4.9021954737e-12 -1.47e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.9022e-12 rel. change during last iteration : -1.47409e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78949e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.879e-08 (4.879e-06%) bb[5] = 1.43934 +/- 1.654e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.744e-08 (3.102e-06%) dd[5] = -2.12939e-09 +/- 3.469e-08 (1629%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 12:52:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 4.7189335656e-02 0.00e+00 1.68e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 3.7403525291e-14 -2.11e-03 1.68e-07 -8.227497e-02 1.439343e+00 6.281053e+00 9.752651e-09 After 6 iterations the fit converged. final sum of squares of residuals : 3.74035e-14 rel. change during last iteration : -2.10561e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.43661e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.93707e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.082275 +/- 4.265e-09 (5.184e-06%) b[6] = 1.43934 +/- 1.753e-08 (1.218e-06%) c[6] = 6.28105 +/- 1.034e-07 (1.646e-06%) d[6] = 9.75265e-09 +/- 3.03e-09 (31.07%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.003 1.000 c[6] -0.026 -0.868 1.000 d[6] -0.092 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 12:52:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.0270457879e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2946533484e-12 -2.19e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.29465e-12 rel. change during last iteration : -2.18977e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.899e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.40421e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.074e-08 (5.074e-06%) bb[6] = 1.43934 +/- 1.715e-08 (1.191e-06%) cc[6] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[6] = -2.12939e-09 +/- 3.605e-08 (1693%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 12:52:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 7.1450094437e-06 0.00e+00 1.68e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 4 1.0532830713e-14 -5.32e-01 1.68e-05 -4.452733e-02 1.439343e+00 6.278037e+00 9.752529e-09 After 4 iterations the fit converged. final sum of squares of residuals : 1.05328e-14 rel. change during last iteration : -5.31809e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.29301e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.67188e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.0445273 +/- 2.265e-09 (5.086e-06%) b[7] = 1.43934 +/- 1.715e-08 (1.191e-06%) c[7] = 6.27804 +/- 1.013e-07 (1.614e-06%) d[7] = 9.75253e-09 +/- 1.608e-09 (16.48%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.002 1.000 c[7] -0.027 -0.868 1.000 d[7] -0.091 0.110 -0.152 1.000 ******************************************************************************* Sun Oct 12 12:52:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3188610922e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.1805162521e-12 -2.13e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.18052e-12 rel. change during last iteration : -2.13062e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86758e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22304e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.023e-08 (5.023e-06%) bb[7] = 1.43934 +/- 1.692e-08 (1.175e-06%) cc[7] = -3.14159 +/- 9.997e-08 (3.182e-06%) dd[7] = -2.12939e-09 +/- 3.565e-08 (1674%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Oct 12 12:52:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 6.5235037639e-02 0.00e+00 1.68e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 14 3.4942842734e-19 -8.94e-03 1.68e-11 2.480854e-04 1.439343e+00 1.570377e+00 9.248519e-09 After 14 iterations the fit converged. final sum of squares of residuals : 3.49428e-19 rel. change during last iteration : -8.94079e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.44747e-11 variance of residuals (reduced chisquare) = WSSR/ndf : 5.54648e-21 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.000248085 +/- 1.288e-11 (5.193e-06%) b[8] = 1.43934 +/- 1.866e-08 (1.297e-06%) c[8] = 1.57038 +/- 1.047e-07 (6.67e-06%) d[8] = 9.24852e-09 +/- 9.303e-12 (0.1006%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.031 1.000 c[8] -0.054 -0.865 1.000 d[8] 0.119 0.146 -0.082 1.000 ******************************************************************************* Sun Oct 12 12:52:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3527316511e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2242300554e-12 -6.22e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22423e-12 rel. change during last iteration : -6.22474e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87966e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29243e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.048e-08 (5.048e-06%) bb[8] = 1.43934 +/- 1.694e-08 (1.177e-06%) cc[8] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[8] = -2.12939e-09 +/- 3.579e-08 (1681%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Oct 12 12:52:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.6064370767e-01 0.00e+00 1.69e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 1.1226636878e-14 -1.47e-01 1.69e-10 4.452752e-02 1.439343e+00 6.288334e+00 9.319492e-09 After 9 iterations the fit converged. final sum of squares of residuals : 1.12266e-14 rel. change during last iteration : -1.47289e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.33492e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.78201e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.0445275 +/- 2.343e-09 (5.262e-06%) b[9] = 1.43934 +/- 1.758e-08 (1.221e-06%) c[9] = 6.28833 +/- 1.042e-07 (1.658e-06%) d[9] = 9.31949e-09 +/- 1.659e-09 (17.8%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.001 1.000 c[9] 0.030 -0.868 1.000 d[9] -0.086 -0.104 0.148 1.000 ******************************************************************************* Sun Oct 12 12:52:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.1066223570e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.0456432729e-12 -2.24e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.04564e-12 rel. change during last iteration : -2.24014e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83001e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.00896e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.964e-08 (4.964e-06%) bb[9] = 1.43934 +/- 1.661e-08 (1.154e-06%) cc[9] = -3.14159 +/- 9.848e-08 (3.135e-06%) dd[9] = -2.12939e-09 +/- 3.516e-08 (1651%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Oct 12 12:52:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 5.2762544483e-01 0.00e+00 1.69e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 3.8707720527e-14 -7.76e-01 1.69e-07 8.227512e-02 1.439343e+00 6.285319e+00 9.752689e-09 After 6 iterations the fit converged. final sum of squares of residuals : 3.87077e-14 rel. change during last iteration : -7.76376e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47873e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14408e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.0822751 +/- 4.353e-09 (5.29e-06%) b[10] = 1.43934 +/- 1.763e-08 (1.225e-06%) c[10] = 6.28532 +/- 1.047e-07 (1.666e-06%) d[10] = 9.75269e-09 +/- 3.079e-09 (31.57%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.868 1.000 d[10] -0.085 -0.102 0.147 1.000 ******************************************************************************* Sun Oct 12 12:52:41 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6941681029e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.6433157388e-12 -1.47e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64332e-12 rel. change during last iteration : -1.47447e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99293e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.254e-08 (5.254e-06%) bb[10] = 1.43934 +/- 1.752e-08 (1.217e-06%) cc[10] = -3.14159 +/- 1.04e-07 (3.312e-06%) dd[10] = -2.12939e-09 +/- 3.718e-08 (1746%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Oct 12 12:52:41 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 7.5716391199e-01 0.00e+00 1.69e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 7.2393379267e-14 -7.49e-02 1.69e-10 1.074974e-01 1.439343e+00 6.284069e+00 1.043220e-08 After 9 iterations the fit converged. final sum of squares of residuals : 7.23934e-14 rel. change during last iteration : -7.48944e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.38984e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1491e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.107497 +/- 5.956e-09 (5.541e-06%) b[11] = 1.43934 +/- 1.841e-08 (1.279e-06%) c[11] = 6.28407 +/- 1.095e-07 (1.743e-06%) d[11] = 1.04322e-08 +/- 4.21e-09 (40.36%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.003 1.000 c[11] 0.031 -0.868 1.000 d[11] -0.083 -0.100 0.146 1.000 ******************************************************************************* Sun Oct 12 12:52:42 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3203490898e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2515291433e-12 -1.51e-05 3.26e-01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25153e-12 rel. change during last iteration : -1.51185e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88717e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33576e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.072e-08 (5.072e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.192e-06%) dd[11] = -2.12939e-09 +/- 3.586e-08 (1684%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Oct 12 12:52:43 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 8.4654543046e-01 0.00e+00 1.69e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 8.9174454593e-14 -2.20e-02 1.69e-10 1.163542e-01 1.439343e+00 6.283186e+00 1.030273e-08 After 9 iterations the fit converged. final sum of squares of residuals : 8.91745e-14 rel. change during last iteration : -2.19905e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.76227e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.41547e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.116354 +/- 6.615e-09 (5.685e-06%) b[12] = 1.43934 +/- 1.883e-08 (1.308e-06%) c[12] = 6.28319 +/- 1.122e-07 (1.786e-06%) d[12] = 1.03027e-08 +/- 4.672e-09 (45.34%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.004 1.000 c[12] 0.032 -0.868 1.000 d[12] -0.081 -0.098 0.145 1.000 ******************************************************************************* Sun Oct 12 12:52:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.6461984594e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.4471198916e-12 -2.81e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.44712e-12 rel. change during last iteration : -2.8058e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94045e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.64622e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.169e-08 (5.169e-06%) bb[12] = 1.43934 +/- 1.712e-08 (1.19e-06%) cc[12] = -3.14159 +/- 1.02e-07 (3.248e-06%) dd[12] = -2.12939e-09 +/- 3.651e-08 (1715%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Oct 12 12:52:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 7.5463650820e-01 0.00e+00 1.70e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 7.5782776389e-14 -7.71e-01 1.70e-10 1.074972e-01 1.439343e+00 6.282302e+00 7.127245e-09 After 9 iterations the fit converged. final sum of squares of residuals : 7.57828e-14 rel. change during last iteration : -7.71184e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.46829e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.2029e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.107497 +/- 6.102e-09 (5.677e-06%) b[13] = 1.43934 +/- 1.875e-08 (1.302e-06%) c[13] = 6.2823 +/- 1.119e-07 (1.781e-06%) d[13] = 7.12724e-09 +/- 4.306e-09 (60.41%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.006 1.000 c[13] 0.032 -0.868 1.000 d[13] -0.080 -0.096 0.144 1.000 ******************************************************************************* Sun Oct 12 12:52:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5718873549e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.4303035924e-12 -5.44e-05 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4303e-12 rel. change during last iteration : -5.4389e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9359e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.61953e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.164e-08 (5.164e-06%) bb[13] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[13] = -3.14159 +/- 1.018e-07 (3.24e-06%) dd[13] = -2.12939e-09 +/- 3.645e-08 (1712%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Oct 12 12:52:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 5.2412775244e-01 0.00e+00 1.70e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 3.6962208396e-14 -9.84e-03 1.70e-10 8.227491e-02 1.439343e+00 6.281053e+00 9.542848e-09 After 9 iterations the fit converged. final sum of squares of residuals : 3.69622e-14 rel. change during last iteration : -9.84296e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.42219e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.86702e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.0822749 +/- 4.264e-09 (5.183e-06%) b[14] = 1.43934 +/- 1.707e-08 (1.186e-06%) c[14] = 6.28105 +/- 1.02e-07 (1.624e-06%) d[14] = 9.54285e-09 +/- 3.007e-09 (31.51%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.007 1.000 c[14] 0.033 -0.868 1.000 d[14] -0.078 -0.094 0.143 1.000 ******************************************************************************* Sun Oct 12 12:52:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4814370793e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3424697713e-12 -4.53e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.34247e-12 rel. change during last iteration : -4.53388e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91206e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.48011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.126e-08 (5.126e-06%) bb[14] = 1.43934 +/- 1.688e-08 (1.172e-06%) cc[14] = -3.14159 +/- 1.009e-07 (3.211e-06%) dd[14] = -2.12939e-09 +/- 3.614e-08 (1697%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Oct 12 12:52:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 2.5808911450e-01 0.00e+00 1.70e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 1.1040258713e-14 -3.81e-01 1.70e-10 4.452724e-02 1.439343e+00 6.278037e+00 9.085852e-09 After 9 iterations the fit converged. final sum of squares of residuals : 1.10403e-14 rel. change during last iteration : -3.81378e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.32379e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.75242e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.0445272 +/- 2.332e-09 (5.237e-06%) b[15] = 1.43934 +/- 1.72e-08 (1.195e-06%) c[15] = 6.27804 +/- 1.03e-07 (1.64e-06%) d[15] = 9.08585e-09 +/- 1.643e-09 (18.08%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.008 1.000 c[15] 0.034 -0.868 1.000 d[15] -0.077 -0.093 0.142 1.000 ******************************************************************************* Sun Oct 12 12:52:49 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.3709805984e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3319000486e-12 -2.57e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.3319e-12 rel. change during last iteration : -2.5655e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90918e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46333e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.124e-08 (5.124e-06%) bb[15] = 1.43934 +/- 1.682e-08 (1.168e-06%) cc[15] = -3.14159 +/- 1.007e-07 (3.205e-06%) dd[15] = -2.12939e-09 +/- 3.61e-08 (1695%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Oct 12 12:52:49 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 6.4416738246e-02 0.00e+00 1.71e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 13 3.7062948324e-19 -1.83e-03 1.71e-03 -2.480852e-04 1.439343e+00 7.853944e+00 9.236519e-09 After 13 iterations the fit converged. final sum of squares of residuals : 3.70629e-19 rel. change during last iteration : -1.83341e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.67008e-11 variance of residuals (reduced chisquare) = WSSR/ndf : 5.88301e-21 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.000248085 +/- 1.319e-11 (5.318e-06%) b[16] = 1.43934 +/- 1.967e-08 (1.367e-06%) c[16] = 7.85394 +/- 1.114e-07 (1.418e-06%) d[16] = 9.23652e-09 +/- 9.603e-12 (0.104%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.038 1.000 c[16] 0.056 -0.872 1.000 d[16] 0.130 -0.161 0.103 1.000 ******************************************************************************* Sun Oct 12 12:52:51 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5658314549e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.5065871735e-12 0.00e+00 3.29e+03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.50659e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95645e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.74061e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.211e-08 (5.211e-06%) bb[16] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[16] = -3.14159 +/- 1.022e-07 (3.254e-06%) dd[16] = -2.12939e-09 +/- 3.668e-08 (1723%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Oct 12 12:54:22 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 2.9934320040e-01 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 13 1.0874837362e-14 -3.19e-04 2.23e-11 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 After 13 iterations the fit converged. final sum of squares of residuals : 1.08748e-14 rel. change during last iteration : -3.19183e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.31384e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.72616e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.0445274 +/- 2.292e-09 (5.148e-06%) b[1] = 1.43934 +/- 1.768e-08 (1.228e-06%) c[1] = 6.28833 +/- 1.034e-07 (1.644e-06%) d[1] = 9.75253e-09 +/- 1.636e-09 (16.77%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.009 1.000 c[1] -0.021 -0.868 1.000 d[1] -0.100 0.121 -0.157 1.000 ******************************************************************************* Sun Oct 12 12:54:23 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476617163e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2271758368e-12 -7.94e-05 3.04e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.22718e-12 rel. change during last iteration : -7.94285e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88047e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.2971e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.024e-08 (5.024e-06%) bb[1] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[1] = -3.14159 +/- 1.01e-07 (3.215e-06%) dd[1] = -2.12939e-09 +/- 3.586e-08 (1684%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Oct 12 12:54:27 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 4.7469713668e-02 0.00e+00 1.66e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 3.6053949941e-14 -5.57e-04 1.66e-07 -8.227505e-02 1.439343e+00 6.285318e+00 9.752483e-09 After 6 iterations the fit converged. final sum of squares of residuals : 3.60539e-14 rel. change during last iteration : -5.57061e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39225e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.72285e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.0822751 +/- 4.176e-09 (5.076e-06%) b[2] = 1.43934 +/- 1.738e-08 (1.208e-06%) c[2] = 6.28532 +/- 1.018e-07 (1.62e-06%) d[2] = 9.75248e-09 +/- 2.977e-09 (30.53%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.008 1.000 c[2] -0.022 -0.868 1.000 d[2] -0.098 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 12:54:28 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.4363642721e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3157163774e-12 -3.30e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31572e-12 rel. change during last iteration : -3.3018e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43765e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.07e-08 (5.07e-06%) bb[2] = 1.43934 +/- 1.737e-08 (1.207e-06%) cc[2] = -3.14159 +/- 1.018e-07 (3.239e-06%) dd[2] = -2.12939e-09 +/- 3.615e-08 (1698%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 12:54:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.3187150267e-01 0.00e+00 1.67e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 10 6.3406749454e-14 -1.50e-04 1.67e-11 -1.074973e-01 1.439343e+00 6.284069e+00 6.344962e-09 After 10 iterations the fit converged. final sum of squares of residuals : 6.34067e-14 rel. change during last iteration : -1.49774e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.17247e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00646e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.107497 +/- 5.542e-09 (5.156e-06%) b[3] = 1.43934 +/- 1.76e-08 (1.223e-06%) c[3] = 6.28407 +/- 1.033e-07 (1.643e-06%) d[3] = 6.34496e-09 +/- 3.948e-09 (62.22%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.007 1.000 c[3] -0.023 -0.868 1.000 d[3] -0.097 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 12:54:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.0842988254e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.0512192199e-12 -1.62e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.05122e-12 rel. change during last iteration : -1.62255e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83157e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01781e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.946e-08 (4.946e-06%) bb[3] = 1.43934 +/- 1.689e-08 (1.173e-06%) cc[3] = -3.14159 +/- 9.91e-08 (3.154e-06%) dd[3] = -2.12939e-09 +/- 3.523e-08 (1655%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 12:54:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.7128908424e-01 0.00e+00 1.67e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 9.0280905583e-14 -3.53e-01 1.67e-07 -1.163542e-01 1.439343e+00 6.283186e+00 9.750175e-09 After 6 iterations the fit converged. final sum of squares of residuals : 9.02809e-14 rel. change during last iteration : -3.52715e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.78554e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.43303e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.116354 +/- 6.618e-09 (5.688e-06%) b[4] = 1.43934 +/- 1.935e-08 (1.344e-06%) c[4] = 6.28319 +/- 1.138e-07 (1.81e-06%) d[4] = 9.75018e-09 +/- 4.709e-09 (48.3%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.006 1.000 c[4] -0.024 -0.868 1.000 d[4] -0.095 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 12:54:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5894738806e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.4558490001e-12 -1.96e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.45585e-12 rel. change during last iteration : -1.96287e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9428e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66008e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.144e-08 (5.144e-06%) bb[4] = 1.43934 +/- 1.75e-08 (1.216e-06%) cc[4] = -3.14159 +/- 1.029e-07 (3.275e-06%) dd[4] = -2.12939e-09 +/- 3.661e-08 (1719%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 12:54:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 1.3144789978e-01 0.00e+00 1.67e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 7.3302234812e-14 -3.65e-01 1.67e-07 -1.074973e-01 1.439343e+00 6.282302e+00 9.750378e-09 After 6 iterations the fit converged. final sum of squares of residuals : 7.33022e-14 rel. change during last iteration : -3.64619e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.41105e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16353e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.107497 +/- 5.967e-09 (5.551e-06%) b[5] = 1.43934 +/- 1.882e-08 (1.308e-06%) c[5] = 6.2823 +/- 1.109e-07 (1.765e-06%) d[5] = 9.75038e-09 +/- 4.242e-09 (43.51%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.004 1.000 c[5] -0.025 -0.868 1.000 d[5] -0.094 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 12:54:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4205861635e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 4.9021954737e-12 -1.47e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.9022e-12 rel. change during last iteration : -1.47409e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78949e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.879e-08 (4.879e-06%) bb[5] = 1.43934 +/- 1.654e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.744e-08 (3.102e-06%) dd[5] = -2.12939e-09 +/- 3.469e-08 (1629%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 12:54:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 4.7189335656e-02 0.00e+00 1.68e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 3.7403525291e-14 -2.11e-03 1.68e-07 -8.227497e-02 1.439343e+00 6.281053e+00 9.752651e-09 After 6 iterations the fit converged. final sum of squares of residuals : 3.74035e-14 rel. change during last iteration : -2.10561e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.43661e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.93707e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.082275 +/- 4.265e-09 (5.184e-06%) b[6] = 1.43934 +/- 1.753e-08 (1.218e-06%) c[6] = 6.28105 +/- 1.034e-07 (1.646e-06%) d[6] = 9.75265e-09 +/- 3.03e-09 (31.07%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.003 1.000 c[6] -0.026 -0.868 1.000 d[6] -0.092 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 12:54:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.0270457879e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2946533484e-12 -2.19e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.29465e-12 rel. change during last iteration : -2.18977e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.899e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.40421e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.074e-08 (5.074e-06%) bb[6] = 1.43934 +/- 1.715e-08 (1.191e-06%) cc[6] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[6] = -2.12939e-09 +/- 3.605e-08 (1693%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 12:54:41 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 7.1450094437e-06 0.00e+00 1.68e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 4 1.0532830713e-14 -5.32e-01 1.68e-05 -4.452733e-02 1.439343e+00 6.278037e+00 9.752529e-09 After 4 iterations the fit converged. final sum of squares of residuals : 1.05328e-14 rel. change during last iteration : -5.31809e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.29301e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.67188e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.0445273 +/- 2.265e-09 (5.086e-06%) b[7] = 1.43934 +/- 1.715e-08 (1.191e-06%) c[7] = 6.27804 +/- 1.013e-07 (1.614e-06%) d[7] = 9.75253e-09 +/- 1.608e-09 (16.48%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.002 1.000 c[7] -0.027 -0.868 1.000 d[7] -0.091 0.110 -0.152 1.000 ******************************************************************************* Sun Oct 12 12:54:41 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3188610922e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.1805162521e-12 -2.13e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.18052e-12 rel. change during last iteration : -2.13062e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86758e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22304e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.023e-08 (5.023e-06%) bb[7] = 1.43934 +/- 1.692e-08 (1.175e-06%) cc[7] = -3.14159 +/- 9.997e-08 (3.182e-06%) dd[7] = -2.12939e-09 +/- 3.565e-08 (1674%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Oct 12 12:54:43 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 6.5235037639e-02 0.00e+00 1.68e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 14 3.4942842734e-19 -8.94e-03 1.68e-11 2.480854e-04 1.439343e+00 1.570377e+00 9.248519e-09 After 14 iterations the fit converged. final sum of squares of residuals : 3.49428e-19 rel. change during last iteration : -8.94079e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.44747e-11 variance of residuals (reduced chisquare) = WSSR/ndf : 5.54648e-21 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.000248085 +/- 1.288e-11 (5.193e-06%) b[8] = 1.43934 +/- 1.866e-08 (1.297e-06%) c[8] = 1.57038 +/- 1.047e-07 (6.67e-06%) d[8] = 9.24852e-09 +/- 9.303e-12 (0.1006%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.031 1.000 c[8] -0.054 -0.865 1.000 d[8] 0.119 0.146 -0.082 1.000 ******************************************************************************* Sun Oct 12 12:54:43 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3527316511e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2242300554e-12 -6.22e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22423e-12 rel. change during last iteration : -6.22474e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87966e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29243e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.048e-08 (5.048e-06%) bb[8] = 1.43934 +/- 1.694e-08 (1.177e-06%) cc[8] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[8] = -2.12939e-09 +/- 3.579e-08 (1681%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Oct 12 12:54:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.6064370767e-01 0.00e+00 1.69e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 1.1226636878e-14 -1.47e-01 1.69e-10 4.452752e-02 1.439343e+00 6.288334e+00 9.319492e-09 After 9 iterations the fit converged. final sum of squares of residuals : 1.12266e-14 rel. change during last iteration : -1.47289e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.33492e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.78201e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.0445275 +/- 2.343e-09 (5.262e-06%) b[9] = 1.43934 +/- 1.758e-08 (1.221e-06%) c[9] = 6.28833 +/- 1.042e-07 (1.658e-06%) d[9] = 9.31949e-09 +/- 1.659e-09 (17.8%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.001 1.000 c[9] 0.030 -0.868 1.000 d[9] -0.086 -0.104 0.148 1.000 ******************************************************************************* Sun Oct 12 12:54:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.1066223570e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.0456432729e-12 -2.24e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.04564e-12 rel. change during last iteration : -2.24014e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83001e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.00896e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.964e-08 (4.964e-06%) bb[9] = 1.43934 +/- 1.661e-08 (1.154e-06%) cc[9] = -3.14159 +/- 9.848e-08 (3.135e-06%) dd[9] = -2.12939e-09 +/- 3.516e-08 (1651%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Oct 12 12:54:50 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 5.2762544483e-01 0.00e+00 1.69e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 3.8707720527e-14 -7.76e-01 1.69e-07 8.227512e-02 1.439343e+00 6.285319e+00 9.752689e-09 After 6 iterations the fit converged. final sum of squares of residuals : 3.87077e-14 rel. change during last iteration : -7.76376e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47873e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14408e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.0822751 +/- 4.353e-09 (5.29e-06%) b[10] = 1.43934 +/- 1.763e-08 (1.225e-06%) c[10] = 6.28532 +/- 1.047e-07 (1.666e-06%) d[10] = 9.75269e-09 +/- 3.079e-09 (31.57%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.868 1.000 d[10] -0.085 -0.102 0.147 1.000 ******************************************************************************* Sun Oct 12 12:54:50 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6941681029e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.6433157388e-12 -1.47e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64332e-12 rel. change during last iteration : -1.47447e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99293e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.254e-08 (5.254e-06%) bb[10] = 1.43934 +/- 1.752e-08 (1.217e-06%) cc[10] = -3.14159 +/- 1.04e-07 (3.312e-06%) dd[10] = -2.12939e-09 +/- 3.718e-08 (1746%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Oct 12 12:54:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 7.5716391199e-01 0.00e+00 1.69e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 7.2393379267e-14 -7.49e-02 1.69e-10 1.074974e-01 1.439343e+00 6.284069e+00 1.043220e-08 After 9 iterations the fit converged. final sum of squares of residuals : 7.23934e-14 rel. change during last iteration : -7.48944e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.38984e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1491e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.107497 +/- 5.956e-09 (5.541e-06%) b[11] = 1.43934 +/- 1.841e-08 (1.279e-06%) c[11] = 6.28407 +/- 1.095e-07 (1.743e-06%) d[11] = 1.04322e-08 +/- 4.21e-09 (40.36%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.003 1.000 c[11] 0.031 -0.868 1.000 d[11] -0.083 -0.100 0.146 1.000 ******************************************************************************* Sun Oct 12 12:54:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3203490898e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2515291433e-12 -1.51e-05 3.26e-01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25153e-12 rel. change during last iteration : -1.51185e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88717e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33576e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.072e-08 (5.072e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.192e-06%) dd[11] = -2.12939e-09 +/- 3.586e-08 (1684%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Oct 12 12:54:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 8.4654543046e-01 0.00e+00 1.69e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 8.9174454593e-14 -2.20e-02 1.69e-10 1.163542e-01 1.439343e+00 6.283186e+00 1.030273e-08 After 9 iterations the fit converged. final sum of squares of residuals : 8.91745e-14 rel. change during last iteration : -2.19905e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.76227e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.41547e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.116354 +/- 6.615e-09 (5.685e-06%) b[12] = 1.43934 +/- 1.883e-08 (1.308e-06%) c[12] = 6.28319 +/- 1.122e-07 (1.786e-06%) d[12] = 1.03027e-08 +/- 4.672e-09 (45.34%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.004 1.000 c[12] 0.032 -0.868 1.000 d[12] -0.081 -0.098 0.145 1.000 ******************************************************************************* Sun Oct 12 12:54:54 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.6461984594e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.4471198916e-12 -2.81e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.44712e-12 rel. change during last iteration : -2.8058e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94045e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.64622e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.169e-08 (5.169e-06%) bb[12] = 1.43934 +/- 1.712e-08 (1.19e-06%) cc[12] = -3.14159 +/- 1.02e-07 (3.248e-06%) dd[12] = -2.12939e-09 +/- 3.651e-08 (1715%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Oct 12 12:54:56 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 7.5463650820e-01 0.00e+00 1.70e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 7.5782776389e-14 -7.71e-01 1.70e-10 1.074972e-01 1.439343e+00 6.282302e+00 7.127245e-09 After 9 iterations the fit converged. final sum of squares of residuals : 7.57828e-14 rel. change during last iteration : -7.71184e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.46829e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.2029e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.107497 +/- 6.102e-09 (5.677e-06%) b[13] = 1.43934 +/- 1.875e-08 (1.302e-06%) c[13] = 6.2823 +/- 1.119e-07 (1.781e-06%) d[13] = 7.12724e-09 +/- 4.306e-09 (60.41%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.006 1.000 c[13] 0.032 -0.868 1.000 d[13] -0.080 -0.096 0.144 1.000 ******************************************************************************* Sun Oct 12 12:54:56 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5718873549e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.4303035924e-12 -5.44e-05 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4303e-12 rel. change during last iteration : -5.4389e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9359e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.61953e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.164e-08 (5.164e-06%) bb[13] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[13] = -3.14159 +/- 1.018e-07 (3.24e-06%) dd[13] = -2.12939e-09 +/- 3.645e-08 (1712%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Oct 12 12:54:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 5.2412775244e-01 0.00e+00 1.70e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 3.6962208396e-14 -9.84e-03 1.70e-10 8.227491e-02 1.439343e+00 6.281053e+00 9.542848e-09 After 9 iterations the fit converged. final sum of squares of residuals : 3.69622e-14 rel. change during last iteration : -9.84296e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.42219e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.86702e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.0822749 +/- 4.264e-09 (5.183e-06%) b[14] = 1.43934 +/- 1.707e-08 (1.186e-06%) c[14] = 6.28105 +/- 1.02e-07 (1.624e-06%) d[14] = 9.54285e-09 +/- 3.007e-09 (31.51%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.007 1.000 c[14] 0.033 -0.868 1.000 d[14] -0.078 -0.094 0.143 1.000 ******************************************************************************* Sun Oct 12 12:54:58 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4814370793e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3424697713e-12 -4.53e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.34247e-12 rel. change during last iteration : -4.53388e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91206e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.48011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.126e-08 (5.126e-06%) bb[14] = 1.43934 +/- 1.688e-08 (1.172e-06%) cc[14] = -3.14159 +/- 1.009e-07 (3.211e-06%) dd[14] = -2.12939e-09 +/- 3.614e-08 (1697%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Oct 12 12:55:00 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 2.5808911450e-01 0.00e+00 1.70e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 1.1040258713e-14 -3.81e-01 1.70e-10 4.452724e-02 1.439343e+00 6.278037e+00 9.085852e-09 After 9 iterations the fit converged. final sum of squares of residuals : 1.10403e-14 rel. change during last iteration : -3.81378e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.32379e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.75242e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.0445272 +/- 2.332e-09 (5.237e-06%) b[15] = 1.43934 +/- 1.72e-08 (1.195e-06%) c[15] = 6.27804 +/- 1.03e-07 (1.64e-06%) d[15] = 9.08585e-09 +/- 1.643e-09 (18.08%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.008 1.000 c[15] 0.034 -0.868 1.000 d[15] -0.077 -0.093 0.142 1.000 ******************************************************************************* Sun Oct 12 12:55:00 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.3709805984e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3319000486e-12 -2.57e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.3319e-12 rel. change during last iteration : -2.5655e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90918e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46333e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.124e-08 (5.124e-06%) bb[15] = 1.43934 +/- 1.682e-08 (1.168e-06%) cc[15] = -3.14159 +/- 1.007e-07 (3.205e-06%) dd[15] = -2.12939e-09 +/- 3.61e-08 (1695%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Oct 12 12:55:02 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 6.4416738246e-02 0.00e+00 1.71e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 13 3.7062948324e-19 -1.83e-03 1.71e-03 -2.480852e-04 1.439343e+00 7.853944e+00 9.236519e-09 After 13 iterations the fit converged. final sum of squares of residuals : 3.70629e-19 rel. change during last iteration : -1.83341e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.67008e-11 variance of residuals (reduced chisquare) = WSSR/ndf : 5.88301e-21 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.000248085 +/- 1.319e-11 (5.318e-06%) b[16] = 1.43934 +/- 1.967e-08 (1.367e-06%) c[16] = 7.85394 +/- 1.114e-07 (1.418e-06%) d[16] = 9.23652e-09 +/- 9.603e-12 (0.104%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.038 1.000 c[16] 0.056 -0.872 1.000 d[16] 0.130 -0.161 0.103 1.000 ******************************************************************************* Sun Oct 12 12:55:03 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5658314549e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.5065871735e-12 0.00e+00 3.29e+03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.50659e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95645e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.74061e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.211e-08 (5.211e-06%) bb[16] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[16] = -3.14159 +/- 1.022e-07 (3.254e-06%) dd[16] = -2.12939e-09 +/- 3.668e-08 (1723%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Oct 12 13:11:43 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 2.9934320040e-01 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 13 1.0874837362e-14 -3.19e-04 2.23e-11 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 After 13 iterations the fit converged. final sum of squares of residuals : 1.08748e-14 rel. change during last iteration : -3.19183e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.31384e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.72616e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.0445274 +/- 2.292e-09 (5.148e-06%) b[1] = 1.43934 +/- 1.768e-08 (1.228e-06%) c[1] = 6.28833 +/- 1.034e-07 (1.644e-06%) d[1] = 9.75253e-09 +/- 1.636e-09 (16.77%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.009 1.000 c[1] -0.021 -0.868 1.000 d[1] -0.100 0.121 -0.157 1.000 ******************************************************************************* Sun Oct 12 13:11:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476617163e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.2271758368e-12 -7.94e-05 3.04e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.22718e-12 rel. change during last iteration : -7.94285e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88047e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.2971e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.024e-08 (5.024e-06%) bb[1] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[1] = -3.14159 +/- 1.01e-07 (3.215e-06%) dd[1] = -2.12939e-09 +/- 3.586e-08 (1684%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Oct 12 13:11:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 4.7469713668e-02 0.00e+00 1.66e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 3.6053949941e-14 -5.57e-04 1.66e-07 -8.227505e-02 1.439343e+00 6.285318e+00 9.752483e-09 After 6 iterations the fit converged. final sum of squares of residuals : 3.60539e-14 rel. change during last iteration : -5.57061e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.39225e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.72285e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.0822751 +/- 4.176e-09 (5.076e-06%) b[2] = 1.43934 +/- 1.738e-08 (1.208e-06%) c[2] = 6.28532 +/- 1.018e-07 (1.62e-06%) d[2] = 9.75248e-09 +/- 2.977e-09 (30.53%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.008 1.000 c[2] -0.022 -0.868 1.000 d[2] -0.098 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 13:11:44 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.4363642721e-12 0.00e+00 3.19e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3157163774e-12 -3.30e-03 3.19e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.31572e-12 rel. change during last iteration : -3.3018e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43765e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.07e-08 (5.07e-06%) bb[2] = 1.43934 +/- 1.737e-08 (1.207e-06%) cc[2] = -3.14159 +/- 1.018e-07 (3.239e-06%) dd[2] = -2.12939e-09 +/- 3.615e-08 (1698%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 13:11:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 1.3187150267e-01 0.00e+00 1.67e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 10 6.3406749454e-14 -1.50e-04 1.67e-11 -1.074973e-01 1.439343e+00 6.284069e+00 6.344962e-09 After 10 iterations the fit converged. final sum of squares of residuals : 6.34067e-14 rel. change during last iteration : -1.49774e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.17247e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.00646e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.107497 +/- 5.542e-09 (5.156e-06%) b[3] = 1.43934 +/- 1.76e-08 (1.223e-06%) c[3] = 6.28407 +/- 1.033e-07 (1.643e-06%) d[3] = 6.34496e-09 +/- 3.948e-09 (62.22%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.007 1.000 c[3] -0.023 -0.868 1.000 d[3] -0.097 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 13:11:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.0842988254e-12 0.00e+00 3.20e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.0512192199e-12 -1.62e-03 3.20e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.05122e-12 rel. change during last iteration : -1.62255e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83157e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01781e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.946e-08 (4.946e-06%) bb[3] = 1.43934 +/- 1.689e-08 (1.173e-06%) cc[3] = -3.14159 +/- 9.91e-08 (3.154e-06%) dd[3] = -2.12939e-09 +/- 3.523e-08 (1655%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 13:11:45 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 1.7128908424e-01 0.00e+00 1.67e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 9.0280905583e-14 -3.53e-01 1.67e-07 -1.163542e-01 1.439343e+00 6.283186e+00 9.750175e-09 After 6 iterations the fit converged. final sum of squares of residuals : 9.02809e-14 rel. change during last iteration : -3.52715e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.78554e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.43303e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.116354 +/- 6.618e-09 (5.688e-06%) b[4] = 1.43934 +/- 1.935e-08 (1.344e-06%) c[4] = 6.28319 +/- 1.138e-07 (1.81e-06%) d[4] = 9.75018e-09 +/- 4.709e-09 (48.3%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.006 1.000 c[4] -0.024 -0.868 1.000 d[4] -0.095 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 13:11:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.5894738806e-12 0.00e+00 3.21e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.4558490001e-12 -1.96e-04 3.21e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.45585e-12 rel. change during last iteration : -1.96287e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9428e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66008e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.144e-08 (5.144e-06%) bb[4] = 1.43934 +/- 1.75e-08 (1.216e-06%) cc[4] = -3.14159 +/- 1.029e-07 (3.275e-06%) dd[4] = -2.12939e-09 +/- 3.661e-08 (1719%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 13:11:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 1.3144789978e-01 0.00e+00 1.67e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 7.3302234812e-14 -3.65e-01 1.67e-07 -1.074973e-01 1.439343e+00 6.282302e+00 9.750378e-09 After 6 iterations the fit converged. final sum of squares of residuals : 7.33022e-14 rel. change during last iteration : -3.64619e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.41105e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16353e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.107497 +/- 5.967e-09 (5.551e-06%) b[5] = 1.43934 +/- 1.882e-08 (1.308e-06%) c[5] = 6.2823 +/- 1.109e-07 (1.765e-06%) d[5] = 9.75038e-09 +/- 4.242e-09 (43.51%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.004 1.000 c[5] -0.025 -0.868 1.000 d[5] -0.094 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 13:11:46 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4205861635e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 4.9021954737e-12 -1.47e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.9022e-12 rel. change during last iteration : -1.47409e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78949e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.879e-08 (4.879e-06%) bb[5] = 1.43934 +/- 1.654e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.744e-08 (3.102e-06%) dd[5] = -2.12939e-09 +/- 3.469e-08 (1629%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 13:11:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 4.7189335656e-02 0.00e+00 1.68e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 3.7403525291e-14 -2.11e-03 1.68e-07 -8.227497e-02 1.439343e+00 6.281053e+00 9.752651e-09 After 6 iterations the fit converged. final sum of squares of residuals : 3.74035e-14 rel. change during last iteration : -2.10561e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.43661e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.93707e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.082275 +/- 4.265e-09 (5.184e-06%) b[6] = 1.43934 +/- 1.753e-08 (1.218e-06%) c[6] = 6.28105 +/- 1.034e-07 (1.646e-06%) d[6] = 9.75265e-09 +/- 3.03e-09 (31.07%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.003 1.000 c[6] -0.026 -0.868 1.000 d[6] -0.092 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 13:11:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.0270457879e-12 0.00e+00 3.22e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2946533484e-12 -2.19e-02 3.22e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.29465e-12 rel. change during last iteration : -2.18977e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.899e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.40421e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.074e-08 (5.074e-06%) bb[6] = 1.43934 +/- 1.715e-08 (1.191e-06%) cc[6] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[6] = -2.12939e-09 +/- 3.605e-08 (1693%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 13:11:47 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 7.1450094437e-06 0.00e+00 1.68e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 4 1.0532830713e-14 -5.32e-01 1.68e-05 -4.452733e-02 1.439343e+00 6.278037e+00 9.752529e-09 After 4 iterations the fit converged. final sum of squares of residuals : 1.05328e-14 rel. change during last iteration : -5.31809e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.29301e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.67188e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.0445273 +/- 2.265e-09 (5.086e-06%) b[7] = 1.43934 +/- 1.715e-08 (1.191e-06%) c[7] = 6.27804 +/- 1.013e-07 (1.614e-06%) d[7] = 9.75253e-09 +/- 1.608e-09 (16.48%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.002 1.000 c[7] -0.027 -0.868 1.000 d[7] -0.091 0.110 -0.152 1.000 ******************************************************************************* Sun Oct 12 13:11:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3188610922e-12 0.00e+00 3.23e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.1805162521e-12 -2.13e-03 3.23e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.18052e-12 rel. change during last iteration : -2.13062e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86758e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22304e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.023e-08 (5.023e-06%) bb[7] = 1.43934 +/- 1.692e-08 (1.175e-06%) cc[7] = -3.14159 +/- 9.997e-08 (3.182e-06%) dd[7] = -2.12939e-09 +/- 3.565e-08 (1674%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Oct 12 13:11:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 6.5235037639e-02 0.00e+00 1.68e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 14 3.4942842734e-19 -8.94e-03 1.68e-11 2.480854e-04 1.439343e+00 1.570377e+00 9.248519e-09 After 14 iterations the fit converged. final sum of squares of residuals : 3.49428e-19 rel. change during last iteration : -8.94079e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.44747e-11 variance of residuals (reduced chisquare) = WSSR/ndf : 5.54648e-21 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.000248085 +/- 1.288e-11 (5.193e-06%) b[8] = 1.43934 +/- 1.866e-08 (1.297e-06%) c[8] = 1.57038 +/- 1.047e-07 (6.67e-06%) d[8] = 9.24852e-09 +/- 9.303e-12 (0.1006%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.031 1.000 c[8] -0.054 -0.865 1.000 d[8] 0.119 0.146 -0.082 1.000 ******************************************************************************* Sun Oct 12 13:11:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3527316511e-12 0.00e+00 3.24e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2242300554e-12 -6.22e-04 3.24e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.22423e-12 rel. change during last iteration : -6.22474e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87966e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.29243e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.048e-08 (5.048e-06%) bb[8] = 1.43934 +/- 1.694e-08 (1.177e-06%) cc[8] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[8] = -2.12939e-09 +/- 3.579e-08 (1681%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Oct 12 13:11:48 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.6064370767e-01 0.00e+00 1.69e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 1.1226636878e-14 -1.47e-01 1.69e-10 4.452752e-02 1.439343e+00 6.288334e+00 9.319492e-09 After 9 iterations the fit converged. final sum of squares of residuals : 1.12266e-14 rel. change during last iteration : -1.47289e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.33492e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.78201e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.0445275 +/- 2.343e-09 (5.262e-06%) b[9] = 1.43934 +/- 1.758e-08 (1.221e-06%) c[9] = 6.28833 +/- 1.042e-07 (1.658e-06%) d[9] = 9.31949e-09 +/- 1.659e-09 (17.8%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.001 1.000 c[9] 0.030 -0.868 1.000 d[9] -0.086 -0.104 0.148 1.000 ******************************************************************************* Sun Oct 12 13:11:49 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.1066223570e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.0456432729e-12 -2.24e-04 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.04564e-12 rel. change during last iteration : -2.24014e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83001e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.00896e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.964e-08 (4.964e-06%) bb[9] = 1.43934 +/- 1.661e-08 (1.154e-06%) cc[9] = -3.14159 +/- 9.848e-08 (3.135e-06%) dd[9] = -2.12939e-09 +/- 3.516e-08 (1651%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Oct 12 13:11:49 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 5.2762544483e-01 0.00e+00 1.69e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 6 3.8707720527e-14 -7.76e-01 1.69e-07 8.227512e-02 1.439343e+00 6.285319e+00 9.752689e-09 After 6 iterations the fit converged. final sum of squares of residuals : 3.87077e-14 rel. change during last iteration : -7.76376e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.47873e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 6.14408e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.0822751 +/- 4.353e-09 (5.29e-06%) b[10] = 1.43934 +/- 1.763e-08 (1.225e-06%) c[10] = 6.28532 +/- 1.047e-07 (1.666e-06%) d[10] = 9.75269e-09 +/- 3.079e-09 (31.57%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.868 1.000 d[10] -0.085 -0.102 0.147 1.000 ******************************************************************************* Sun Oct 12 13:11:49 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.6941681029e-12 0.00e+00 3.25e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.6433157388e-12 -1.47e-03 3.25e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.64332e-12 rel. change during last iteration : -1.47447e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99293e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.95764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.254e-08 (5.254e-06%) bb[10] = 1.43934 +/- 1.752e-08 (1.217e-06%) cc[10] = -3.14159 +/- 1.04e-07 (3.312e-06%) dd[10] = -2.12939e-09 +/- 3.718e-08 (1746%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Oct 12 13:11:50 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 7.5716391199e-01 0.00e+00 1.69e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 7.2393379267e-14 -7.49e-02 1.69e-10 1.074974e-01 1.439343e+00 6.284069e+00 1.043220e-08 After 9 iterations the fit converged. final sum of squares of residuals : 7.23934e-14 rel. change during last iteration : -7.48944e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.38984e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1491e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.107497 +/- 5.956e-09 (5.541e-06%) b[11] = 1.43934 +/- 1.841e-08 (1.279e-06%) c[11] = 6.28407 +/- 1.095e-07 (1.743e-06%) d[11] = 1.04322e-08 +/- 4.21e-09 (40.36%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.003 1.000 c[11] 0.031 -0.868 1.000 d[11] -0.083 -0.100 0.146 1.000 ******************************************************************************* Sun Oct 12 13:11:50 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3203490898e-12 0.00e+00 3.26e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.2515291433e-12 -1.51e-05 3.26e-01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25153e-12 rel. change during last iteration : -1.51185e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88717e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33576e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.072e-08 (5.072e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.192e-06%) dd[11] = -2.12939e-09 +/- 3.586e-08 (1684%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Oct 12 13:11:50 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 8.4654543046e-01 0.00e+00 1.69e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 8.9174454593e-14 -2.20e-02 1.69e-10 1.163542e-01 1.439343e+00 6.283186e+00 1.030273e-08 After 9 iterations the fit converged. final sum of squares of residuals : 8.91745e-14 rel. change during last iteration : -2.19905e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.76227e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.41547e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.116354 +/- 6.615e-09 (5.685e-06%) b[12] = 1.43934 +/- 1.883e-08 (1.308e-06%) c[12] = 6.28319 +/- 1.122e-07 (1.786e-06%) d[12] = 1.03027e-08 +/- 4.672e-09 (45.34%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.004 1.000 c[12] 0.032 -0.868 1.000 d[12] -0.081 -0.098 0.145 1.000 ******************************************************************************* Sun Oct 12 13:11:51 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.6461984594e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.4471198916e-12 -2.81e-03 3.27e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.44712e-12 rel. change during last iteration : -2.8058e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94045e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.64622e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.169e-08 (5.169e-06%) bb[12] = 1.43934 +/- 1.712e-08 (1.19e-06%) cc[12] = -3.14159 +/- 1.02e-07 (3.248e-06%) dd[12] = -2.12939e-09 +/- 3.651e-08 (1715%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Oct 12 13:11:51 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 7.5463650820e-01 0.00e+00 1.70e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 7.5782776389e-14 -7.71e-01 1.70e-10 1.074972e-01 1.439343e+00 6.282302e+00 7.127245e-09 After 9 iterations the fit converged. final sum of squares of residuals : 7.57828e-14 rel. change during last iteration : -7.71184e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.46829e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.2029e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.107497 +/- 6.102e-09 (5.677e-06%) b[13] = 1.43934 +/- 1.875e-08 (1.302e-06%) c[13] = 6.2823 +/- 1.119e-07 (1.781e-06%) d[13] = 7.12724e-09 +/- 4.306e-09 (60.41%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.006 1.000 c[13] 0.032 -0.868 1.000 d[13] -0.080 -0.096 0.144 1.000 ******************************************************************************* Sun Oct 12 13:11:51 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5718873549e-12 0.00e+00 3.27e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.4303035924e-12 -5.44e-05 3.27e+01 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.4303e-12 rel. change during last iteration : -5.4389e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9359e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.61953e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.164e-08 (5.164e-06%) bb[13] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[13] = -3.14159 +/- 1.018e-07 (3.24e-06%) dd[13] = -2.12939e-09 +/- 3.645e-08 (1712%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Oct 12 13:11:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 5.2412775244e-01 0.00e+00 1.70e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 3.6962208396e-14 -9.84e-03 1.70e-10 8.227491e-02 1.439343e+00 6.281053e+00 9.542848e-09 After 9 iterations the fit converged. final sum of squares of residuals : 3.69622e-14 rel. change during last iteration : -9.84296e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.42219e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.86702e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.0822749 +/- 4.264e-09 (5.183e-06%) b[14] = 1.43934 +/- 1.707e-08 (1.186e-06%) c[14] = 6.28105 +/- 1.02e-07 (1.624e-06%) d[14] = 9.54285e-09 +/- 3.007e-09 (31.51%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.007 1.000 c[14] 0.033 -0.868 1.000 d[14] -0.078 -0.094 0.143 1.000 ******************************************************************************* Sun Oct 12 13:11:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.4814370793e-12 0.00e+00 3.28e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3424697713e-12 -4.53e-03 3.28e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.34247e-12 rel. change during last iteration : -4.53388e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.91206e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.48011e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.126e-08 (5.126e-06%) bb[14] = 1.43934 +/- 1.688e-08 (1.172e-06%) cc[14] = -3.14159 +/- 1.009e-07 (3.211e-06%) dd[14] = -2.12939e-09 +/- 3.614e-08 (1697%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Oct 12 13:11:52 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 2.5808911450e-01 0.00e+00 1.70e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 9 1.1040258713e-14 -3.81e-01 1.70e-10 4.452724e-02 1.439343e+00 6.278037e+00 9.085852e-09 After 9 iterations the fit converged. final sum of squares of residuals : 1.10403e-14 rel. change during last iteration : -3.81378e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.32379e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.75242e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.0445272 +/- 2.332e-09 (5.237e-06%) b[15] = 1.43934 +/- 1.72e-08 (1.195e-06%) c[15] = 6.27804 +/- 1.03e-07 (1.64e-06%) d[15] = 9.08585e-09 +/- 1.643e-09 (18.08%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.008 1.000 c[15] 0.034 -0.868 1.000 d[15] -0.077 -0.093 0.142 1.000 ******************************************************************************* Sun Oct 12 13:11:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.3709805984e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.3319000486e-12 -2.57e-03 3.29e-03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.3319e-12 rel. change during last iteration : -2.5655e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90918e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46333e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.124e-08 (5.124e-06%) bb[15] = 1.43934 +/- 1.682e-08 (1.168e-06%) cc[15] = -3.14159 +/- 1.007e-07 (3.205e-06%) dd[15] = -2.12939e-09 +/- 3.61e-08 (1695%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Oct 12 13:11:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 6.4416738246e-02 0.00e+00 1.71e-01 -4.452743e-02 1.439343e+00 6.288334e+00 9.752529e-09 13 3.7062948324e-19 -1.83e-03 1.71e-03 -2.480852e-04 1.439343e+00 7.853944e+00 9.236519e-09 After 13 iterations the fit converged. final sum of squares of residuals : 3.70629e-19 rel. change during last iteration : -1.83341e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.67008e-11 variance of residuals (reduced chisquare) = WSSR/ndf : 5.88301e-21 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.000248085 +/- 1.319e-11 (5.318e-06%) b[16] = 1.43934 +/- 1.967e-08 (1.367e-06%) c[16] = 7.85394 +/- 1.114e-07 (1.418e-06%) d[16] = 9.23652e-09 +/- 9.603e-12 (0.104%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.038 1.000 c[16] 0.056 -0.872 1.000 d[16] 0.130 -0.161 0.103 1.000 ******************************************************************************* Sun Oct 12 13:11:53 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.5658314549e-12 0.00e+00 3.29e+00 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 3 5.5065871735e-12 0.00e+00 3.29e+03 1.000000e+00 1.439343e+00 -3.141593e+00 -2.129387e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.50659e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95645e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.74061e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.211e-08 (5.211e-06%) bb[16] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[16] = -3.14159 +/- 1.022e-07 (3.254e-06%) dd[16] = -2.12939e-09 +/- 3.668e-08 (1723%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Oct 12 15:11:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.0435576992e+00 0.00e+00 2.23e-01 -7.323537e-02 1.439342e+00 -1.888507e+00 9.376746e-03 19 1.1095257445e-13 -1.69e-04 2.23e-10 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 After 19 iterations the fit converged. final sum of squares of residuals : 1.10953e-13 rel. change during last iteration : -1.69149e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.19661e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.76115e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.126173 +/- 7.119e-09 (5.642e-06%) b[1] = 1.43934 +/- 2.268e-08 (1.575e-06%) c[1] = 2.32272 +/- 1.267e-07 (5.453e-06%) d[1] = -1.41448e-07 +/- 5.293e-09 (3.742%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.069 -0.883 1.000 d[1] 0.163 -0.200 0.176 1.000 ******************************************************************************* Sun Oct 12 15:11:30 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1479213681e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0805823859e-12 -2.43e-04 3.04e-08 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067280e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.08058e-12 rel. change during last iteration : -2.42964e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83979e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.06442e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.953e-08 (4.953e-06%) bb[1] = 1.43934 +/- 1.703e-08 (1.183e-06%) cc[1] = -3.14159 +/- 9.958e-08 (3.17e-06%) dd[1] = -1.06728e-08 +/- 3.535e-08 (331.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Oct 12 15:11:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 1.8631792526e-01 0.00e+00 3.66e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 9 2.1332493543e-13 -9.10e-06 3.66e-01 -1.741520e-01 1.439336e+00 2.724614e+00 -1.381601e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.13325e-13 rel. change during last iteration : -9.0989e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.81903e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.38611e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.174152 +/- 9.95e-09 (5.714e-06%) b[2] = 1.43934 +/- 2.182e-08 (1.516e-06%) c[2] = 2.72461 +/- 1.251e-07 (4.592e-06%) d[2] = -1.3816e-07 +/- 7.305e-09 (5.287%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.056 1.000 c[2] 0.029 -0.881 1.000 d[2] 0.144 -0.176 0.182 1.000 ******************************************************************************* Sun Oct 12 15:11:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 3.8738236108e-11 0.00e+00 3.19e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067280e-08 3 5.5450274461e-12 -2.07e-01 3.19e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067280e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.54503e-12 rel. change during last iteration : -2.07179e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96675e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.80163e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.178e-08 (5.178e-06%) bb[2] = 1.43934 +/- 1.774e-08 (1.233e-06%) cc[2] = -3.1416 +/- 1.039e-07 (3.308e-06%) dd[2] = -1.06728e-08 +/- 3.693e-08 (346%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Oct 12 15:11:31 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6219461800e-01 0.00e+00 3.66e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 9 3.0393445353e-13 -1.28e-05 3.66e+00 -2.115009e-01 1.439336e+00 2.960119e+00 -1.457413e-07 After 9 iterations the fit converged. final sum of squares of residuals : 3.03934e-13 rel. change during last iteration : -1.27646e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.94576e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.82436e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.211501 +/- 1.201e-08 (5.68e-06%) b[3] = 1.43934 +/- 2.037e-08 (1.415e-06%) c[3] = 2.96012 +/- 1.186e-07 (4.008e-06%) d[3] = -1.45741e-07 +/- 8.674e-09 (5.952%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.030 1.000 c[3] -0.001 -0.874 1.000 d[3] 0.119 -0.144 0.169 1.000 ******************************************************************************* Sun Oct 12 15:11:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 3.7451619827e-11 0.00e+00 3.20e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067280e-08 3 4.9590246313e-12 -2.25e-01 3.20e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067280e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.95902e-12 rel. change during last iteration : -2.24814e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80561e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.87147e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.9e-08 (4.9e-06%) bb[3] = 1.43934 +/- 1.673e-08 (1.162e-06%) cc[3] = -3.14159 +/- 9.819e-08 (3.126e-06%) dd[3] = -1.06728e-08 +/- 3.491e-08 (327.1%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Oct 12 15:11:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.7039276341e-01 0.00e+00 3.67e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 9 3.1073481016e-13 -1.53e-04 3.67e-10 -2.251603e-01 1.439336e+00 3.141593e+00 -1.368605e-07 After 9 iterations the fit converged. final sum of squares of residuals : 3.10735e-13 rel. change during last iteration : -1.53143e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.02303e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.9323e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.22516 +/- 1.228e-08 (5.452e-06%) b[4] = 1.43934 +/- 1.855e-08 (1.289e-06%) c[4] = 3.14159 +/- 1.091e-07 (3.471e-06%) d[4] = -1.3686e-07 +/- 8.737e-09 (6.384%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.008 1.000 c[4] -0.021 -0.868 1.000 d[4] 0.096 -0.115 0.155 1.000 ******************************************************************************* Sun Oct 12 15:11:32 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 1.8358062322e-10 0.00e+00 3.21e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067280e-08 3 5.7366632526e-12 -9.16e-01 3.21e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067280e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73666e-12 rel. change during last iteration : -9.16183e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01758e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10581e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.274e-08 (5.274e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.055e-07 (3.358e-06%) dd[4] = -1.06728e-08 +/- 3.754e-08 (351.7%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Oct 12 15:11:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 9.9582365282e-01 0.00e+00 3.68e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 9 2.4095508884e-13 -2.34e-04 3.68e-10 -2.115008e-01 1.439336e+00 3.323067e+00 -1.456227e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.40955e-13 rel. change during last iteration : -2.33567e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.1844e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.82468e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.211501 +/- 1.092e-08 (5.164e-06%) b[5] = 1.43934 +/- 1.677e-08 (1.165e-06%) c[5] = 3.32307 +/- 9.908e-08 (2.982e-06%) d[5] = -1.45623e-07 +/- 7.67e-09 (5.267%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] 0.010 1.000 c[5] -0.034 -0.862 1.000 d[5] 0.070 -0.084 0.137 1.000 ******************************************************************************* Sun Oct 12 15:11:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 1.8511539149e-10 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067280e-08 4 4.8942160177e-12 0.00e+00 3.22e+02 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067280e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.89422e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78722e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.7686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.875e-08 (4.875e-06%) bb[5] = 1.43934 +/- 1.653e-08 (1.149e-06%) cc[5] = -3.14159 +/- 9.736e-08 (3.099e-06%) dd[5] = -1.06728e-08 +/- 3.467e-08 (324.8%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Oct 12 15:11:33 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 1.0214508147e+00 0.00e+00 3.68e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 8 1.9021873491e-13 -1.68e-02 3.68e-09 -1.741519e-01 1.439336e+00 3.558573e+00 -1.412157e-07 After 8 iterations the fit converged. final sum of squares of residuals : 1.90219e-13 rel. change during last iteration : -1.67992e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.49486e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.01934e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.174152 +/- 9.799e-09 (5.627e-06%) b[6] = 1.43934 +/- 1.752e-08 (1.217e-06%) c[6] = 3.55857 +/- 1.035e-07 (2.908e-06%) d[6] = -1.41216e-07 +/- 6.797e-09 (4.813%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.025 1.000 c[6] -0.038 -0.855 1.000 d[6] 0.037 -0.044 0.112 1.000 ******************************************************************************* Sun Oct 12 15:11:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 3.7728908183e-11 0.00e+00 3.22e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067280e-08 3 5.6471865115e-12 -1.73e-01 3.22e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067280e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.64719e-12 rel. change during last iteration : -1.72987e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99396e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.96379e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.241e-08 (5.241e-06%) bb[6] = 1.43934 +/- 1.771e-08 (1.23e-06%) cc[6] = -3.14159 +/- 1.045e-07 (3.326e-06%) dd[6] = -1.06728e-08 +/- 3.723e-08 (348.8%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Oct 12 15:11:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 1.1547641189e+00 0.00e+00 3.69e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 11 9.5903436824e-14 -2.81e-01 3.69e-09 -1.261728e-01 1.439336e+00 3.960470e+00 -1.407654e-07 After 11 iterations the fit converged. final sum of squares of residuals : 9.59034e-14 rel. change during last iteration : -2.80704e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.90164e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.52228e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.126173 +/- 6.978e-09 (5.53e-06%) b[7] = 1.43934 +/- 1.703e-08 (1.183e-06%) c[7] = 3.96047 +/- 9.913e-08 (2.503e-06%) d[7] = -1.40765e-07 +/- 4.823e-09 (3.426%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.030 1.000 c[7] -0.018 -0.849 1.000 d[7] -0.020 0.025 0.058 1.000 ******************************************************************************* Sun Oct 12 15:11:34 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 3.5390678108e-11 0.00e+00 3.23e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067280e-08 3 5.0487614009e-12 -1.56e-01 3.23e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067280e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.04876e-12 rel. change during last iteration : -1.55633e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83088e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.01391e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.959e-08 (4.959e-06%) bb[7] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[7] = -3.14159 +/- 9.869e-08 (3.142e-06%) dd[7] = -1.06728e-08 +/- 3.519e-08 (329.7%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Oct 12 15:11:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 1.5718036045e+00 0.00e+00 3.70e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 12 5.0210436864e-14 -1.03e-01 3.70e-11 9.974681e-02 1.439336e+00 1.570798e+00 -1.433899e-07 After 12 iterations the fit converged. final sum of squares of residuals : 5.02104e-14 rel. change during last iteration : -1.02551e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8231e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.96991e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.0997468 +/- 4.883e-09 (4.896e-06%) b[8] = 1.43934 +/- 1.76e-08 (1.222e-06%) c[8] = 1.5708 +/- 9.876e-08 (6.287e-06%) d[8] = -1.4339e-07 +/- 3.526e-09 (2.459%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.032 1.000 c[8] -0.054 -0.865 1.000 d[8] 0.119 0.146 -0.082 1.000 ******************************************************************************* Sun Oct 12 15:11:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 1.9126072643e-10 0.00e+00 3.24e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067280e-08 3 5.7615524619e-12 -9.42e-01 3.24e-03 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067280e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.76155e-12 rel. change during last iteration : -9.42218e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.02412e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14532e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.301e-08 (5.301e-06%) bb[8] = 1.43934 +/- 1.779e-08 (1.236e-06%) cc[8] = -3.14159 +/- 1.053e-07 (3.353e-06%) dd[8] = -1.06728e-08 +/- 3.759e-08 (352.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Oct 12 15:11:35 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 2.2751554629e+00 0.00e+00 3.71e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 9 9.5315878384e-14 0.00e+00 3.71e+01 1.261730e-01 1.439336e+00 2.322718e+00 -1.360861e-07 After 9 iterations the fit converged. final sum of squares of residuals : 9.53159e-14 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.88967e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.51295e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.126173 +/- 6.602e-09 (5.232e-06%) b[9] = 1.43934 +/- 2.095e-08 (1.455e-06%) c[9] = 2.32272 +/- 1.19e-07 (5.125e-06%) d[9] = -1.36086e-07 +/- 4.904e-09 (3.604%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.077 1.000 c[9] -0.063 -0.886 1.000 d[9] 0.161 0.198 -0.182 1.000 ******************************************************************************* Sun Oct 12 15:11:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 1.8223442045e-10 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067280e-08 4 4.9193664380e-12 -4.18e-05 3.25e-04 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067280e-08 After 4 iterations the fit converged. final sum of squares of residuals : 4.91937e-12 rel. change during last iteration : -4.17539e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79437e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80852e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.902e-08 (4.902e-06%) bb[9] = 1.43934 +/- 1.64e-08 (1.139e-06%) cc[9] = -3.14159 +/- 9.724e-08 (3.095e-06%) dd[9] = -1.06728e-08 +/- 3.472e-08 (325.3%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Oct 12 15:11:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 3.0552821470e+00 0.00e+00 3.71e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 9 2.0327104584e-13 -2.09e-05 3.71e-01 1.741520e-01 1.439336e+00 2.724614e+00 -1.470564e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.03271e-13 rel. change during last iteration : -2.08604e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.68025e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.22652e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.174152 +/- 9.757e-09 (5.602e-06%) b[10] = 1.43934 +/- 2.085e-08 (1.449e-06%) c[10] = 2.72461 +/- 1.217e-07 (4.468e-06%) d[10] = -1.47056e-07 +/- 7.115e-09 (4.838%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.045 1.000 c[10] -0.016 -0.881 1.000 d[10] 0.134 0.163 -0.177 1.000 ******************************************************************************* Sun Oct 12 15:11:36 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 3.7950405394e-11 0.00e+00 3.25e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067280e-08 3 5.8349889023e-12 -1.71e-01 3.25e-03 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067280e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.83499e-12 rel. change during last iteration : -1.71013e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.04333e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26189e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.342e-08 (5.342e-06%) bb[10] = 1.43934 +/- 1.781e-08 (1.238e-06%) cc[10] = -3.1416 +/- 1.058e-07 (3.368e-06%) dd[10] = -1.06728e-08 +/- 3.781e-08 (354.2%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Oct 12 15:11:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 3.5833592625e+00 0.00e+00 3.72e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 14 2.3022893264e-13 -2.13e-04 3.72e-10 2.115009e-01 1.439336e+00 2.960120e+00 -1.385859e-07 After 14 iterations the fit converged. final sum of squares of residuals : 2.30229e-13 rel. change during last iteration : -2.1299e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.04519e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.65443e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.211501 +/- 1.052e-08 (4.972e-06%) b[11] = 1.43934 +/- 1.731e-08 (1.203e-06%) c[11] = 2.96012 +/- 1.025e-07 (3.462e-06%) d[11] = -1.38586e-07 +/- 7.533e-09 (5.436%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.018 1.000 c[11] 0.013 -0.874 1.000 d[11] 0.106 0.129 -0.161 1.000 ******************************************************************************* Sun Oct 12 15:11:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 3.7002624732e-11 0.00e+00 3.26e+00 1.000000e+00 1.439336e+00 -3.141596e+00 -1.067280e-08 3 5.1807303646e-12 -1.71e-01 3.26e-03 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067280e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.18073e-12 rel. change during last iteration : -1.71042e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.86764e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.22338e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.037e-08 (5.037e-06%) bb[11] = 1.43934 +/- 1.674e-08 (1.163e-06%) cc[11] = -3.14159 +/- 9.96e-08 (3.17e-06%) dd[11] = -1.06728e-08 +/- 3.562e-08 (333.7%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Oct 12 15:11:37 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 3.5847590928e+00 0.00e+00 3.73e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 11 3.3147178043e-13 -3.55e-05 3.73e-10 2.251603e-01 1.439336e+00 3.141594e+00 -1.380861e-07 After 11 iterations the fit converged. final sum of squares of residuals : 3.31472e-13 rel. change during last iteration : -3.54843e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.25359e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 5.26146e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.22516 +/- 1.275e-08 (5.664e-06%) b[12] = 1.43934 +/- 1.876e-08 (1.303e-06%) c[12] = 3.14159 +/- 1.118e-07 (3.558e-06%) d[12] = -1.38086e-07 +/- 9.007e-09 (6.523%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.002 1.000 c[12] 0.029 -0.868 1.000 d[12] 0.082 0.098 -0.145 1.000 ******************************************************************************* Sun Oct 12 15:11:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 1.9036107821e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141595e+00 -1.067280e-08 4 5.6969578746e-12 -3.65e-05 3.27e-01 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067280e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.69696e-12 rel. change during last iteration : -3.65175e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.00712e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.04279e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.286e-08 (5.286e-06%) bb[12] = 1.43934 +/- 1.751e-08 (1.217e-06%) cc[12] = -3.14159 +/- 1.044e-07 (3.322e-06%) dd[12] = -1.06728e-08 +/- 3.734e-08 (349.9%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Oct 12 15:11:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.9939144621e+00 0.00e+00 3.74e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 14 2.5813938507e-13 -8.82e-06 3.74e-10 2.115008e-01 1.439336e+00 -9.243303e+00 -1.457042e-07 After 14 iterations the fit converged. final sum of squares of residuals : 2.58139e-13 rel. change during last iteration : -8.82108e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.40113e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.09745e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.211501 +/- 1.135e-08 (5.368e-06%) b[13] = 1.43934 +/- 1.708e-08 (1.186e-06%) c[13] = -9.2433 +/- 1.02e-07 (1.104e-06%) d[13] = -1.45704e-07 +/- 7.928e-09 (5.441%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.007 1.000 c[13] 0.025 -0.862 1.000 d[13] 0.058 0.067 -0.126 1.000 ******************************************************************************* Sun Oct 12 15:11:38 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 1.7986552983e-10 0.00e+00 3.27e+00 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067280e-08 4 5.2003047794e-12 -9.45e-05 3.27e-04 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067280e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.2003e-12 rel. change during last iteration : -9.44996e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87306e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.25445e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.054e-08 (5.054e-06%) bb[13] = 1.43934 +/- 1.669e-08 (1.16e-06%) cc[13] = -3.14159 +/- 9.961e-08 (3.171e-06%) dd[13] = -1.06728e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Oct 12 15:11:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 2.0016378115e+00 0.00e+00 3.75e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 9 2.3163068609e-13 -5.59e-05 3.75e-10 -1.741519e-01 1.439336e+00 6.700166e+00 -1.454451e-07 After 9 iterations the fit converged. final sum of squares of residuals : 2.31631e-13 rel. change during last iteration : -5.59454e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.06356e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 3.67668e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.174152 +/- 1.084e-08 (6.225e-06%) b[14] = 1.43934 +/- 1.918e-08 (1.332e-06%) c[14] = 6.70017 +/- 1.142e-07 (1.704e-06%) d[14] = -1.45445e-07 +/- 7.495e-09 (5.153%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] 0.031 1.000 c[14] -0.038 -0.856 1.000 d[14] -0.022 0.026 -0.099 1.000 ******************************************************************************* Sun Oct 12 15:11:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 3.7733042403e-11 0.00e+00 3.28e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067280e-08 3 5.8046688228e-12 -1.63e-01 3.28e-03 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067280e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.80467e-12 rel. change during last iteration : -1.62933e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03542e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.21376e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.343e-08 (5.343e-06%) bb[14] = 1.43934 +/- 1.759e-08 (1.222e-06%) cc[14] = -3.14159 +/- 1.051e-07 (3.347e-06%) dd[14] = -1.06728e-08 +/- 3.768e-08 (353%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Oct 12 15:11:39 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 9.6683975850e-01 0.00e+00 3.75e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 11 1.0088730463e-13 -3.06e-05 3.75e-06 -1.261729e-01 1.439336e+00 8.188784e-01 -1.388903e-07 After 11 iterations the fit converged. final sum of squares of residuals : 1.00887e-13 rel. change during last iteration : -3.05803e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.00173e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 1.60139e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.126173 +/- 7.14e-09 (5.659e-06%) b[15] = 1.43934 +/- 1.76e-08 (1.223e-06%) c[15] = 0.818878 +/- 1.03e-07 (1.258e-05%) d[15] = -1.3889e-07 +/- 4.95e-09 (3.564%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] 0.024 1.000 c[15] -0.006 -0.853 1.000 d[15] 0.034 -0.042 -0.040 1.000 ******************************************************************************* Sun Oct 12 15:11:40 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 3.4821292961e-11 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141589e+00 -1.067280e-08 3 5.2039775755e-12 -1.49e-01 3.29e-03 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067280e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.20398e-12 rel. change during last iteration : -1.49193e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.26028e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.063e-08 (5.063e-06%) bb[15] = 1.43934 +/- 1.662e-08 (1.154e-06%) cc[15] = -3.14159 +/- 9.947e-08 (3.166e-06%) dd[15] = -1.06728e-08 +/- 3.567e-08 (334.2%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Oct 12 15:11:40 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.4062117445e-01 0.00e+00 3.76e-01 -1.261730e-01 1.439336e+00 2.322717e+00 -1.414481e-07 8 4.9476265400e-14 -5.39e-01 3.76e-09 -9.974686e-02 1.439336e+00 1.570798e+00 -1.421415e-07 After 8 iterations the fit converged. final sum of squares of residuals : 4.94763e-14 rel. change during last iteration : -5.38902e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.80239e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.85338e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0997469 +/- 4.822e-09 (4.834e-06%) b[16] = 1.43934 +/- 1.788e-08 (1.242e-06%) c[16] = 1.5708 +/- 1.012e-07 (6.445e-06%) d[16] = -1.42142e-07 +/- 3.509e-09 (2.468%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.044 1.000 c[16] 0.062 -0.872 1.000 d[16] 0.131 -0.161 0.103 1.000 ******************************************************************************* Sun Oct 12 15:11:40 2025 FIT: data read from file1 u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 1.9137284215e-10 0.00e+00 3.29e+00 1.000000e+00 1.439336e+00 -3.141590e+00 -1.067280e-08 4 5.8140908362e-12 0.00e+00 3.29e+02 1.000000e+00 1.439336e+00 -3.141593e+00 -1.067280e-08 After 4 iterations the fit converged. final sum of squares of residuals : 5.81409e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.03788e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.22872e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.355e-08 (5.355e-06%) bb[16] = 1.43934 +/- 1.752e-08 (1.217e-06%) cc[16] = -3.14159 +/- 1.051e-07 (3.344e-06%) dd[16] = -1.06728e-08 +/- 3.769e-08 (353.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000