******************************************************************************* Mon Jul 10 09:48:43 2023 FIT: data read from 'all_Energy_spin_time.dat' u 45:50 format = x:z #datapoints = 27371 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.3014420453e+06 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 5.5368670015e+03 -3.57e-06 7.07e-05 1.197612e+01 -1.315990e+01 After 4 iterations the fit converged. final sum of squares of residuals : 5536.87 rel. change during last iteration : -3.57098e-11 degrees of freedom (FIT_NDF) : 27369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449783 variance of residuals (reduced chisquare) = WSSR/ndf : 0.202304 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.9761 +/- 0.002757 (0.02302%) b = -13.1599 +/- 2.41 (18.31%) correlation matrix of the fit parameters: a b a 1.000 b -0.167 1.000 ******************************************************************************* Mon Jul 10 09:49:02 2023 FIT: data read from 'all_Energy_spin_time.dat' u 51:56 format = x:z #datapoints = 27371 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.6445212306e+04 0.00e+00 8.47e+00 1.197612e+01 -1.315990e+01 2 5.5365531101e+03 -1.70e-03 8.47e-02 1.358566e+01 -1.311528e+01 After 2 iterations the fit converged. final sum of squares of residuals : 5536.55 rel. change during last iteration : -1.70074e-08 degrees of freedom (FIT_NDF) : 27369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44977 variance of residuals (reduced chisquare) = WSSR/ndf : 0.202293 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.5857 +/- 0.002757 (0.0203%) b = -13.1153 +/- 2.41 (18.38%) correlation matrix of the fit parameters: a b a 1.000 b -0.167 1.000 ******************************************************************************* Mon Jul 10 09:49:28 2023 FIT: data read from 'all_Energy_spin_time.dat' u 51:56 format = x:z #datapoints = 27371 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.5365531101e+03 0.00e+00 9.61e+00 1.358566e+01 -1.311528e+01 1 5.5365531100e+03 -1.72e-06 9.61e-01 1.358566e+01 -1.311499e+01 After 1 iterations the fit converged. final sum of squares of residuals : 5536.55 rel. change during last iteration : -1.71928e-11 degrees of freedom (FIT_NDF) : 27369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44977 variance of residuals (reduced chisquare) = WSSR/ndf : 0.202293 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.5857 +/- 0.002757 (0.0203%) b = -13.115 +/- 2.41 (18.38%) correlation matrix of the fit parameters: a b a 1.000 b -0.167 1.000 ******************************************************************************* Mon Jul 10 09:49:50 2023 FIT: data read from 'all_Energy_spin_time.dat' u 3:8 format = x:z #datapoints = 27371 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.5218477781e+06 0.00e+00 9.61e+00 1.358566e+01 -1.311499e+01 3 5.4916797377e+03 -3.18e-02 9.61e-03 2.250846e+00 -1.133351e+01 After 3 iterations the fit converged. final sum of squares of residuals : 5491.68 rel. change during last iteration : -3.17576e-07 degrees of freedom (FIT_NDF) : 27369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.447943 variance of residuals (reduced chisquare) = WSSR/ndf : 0.200653 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.25085 +/- 0.002747 (0.1221%) b = -11.3335 +/- 2.402 (21.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.169 1.000 ******************************************************************************* Mon Jul 10 09:50:45 2023 FIT: data read from 'all_Energy_spin_time.dat' u 3:(abs($6)<0.1 ? $8:1/0) format = x:z #datapoints = 12914 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.2516516067e+03 0.00e+00 1.59e+00 2.250846e+00 -1.133351e+01 3 1.2508726835e+03 -5.17e-04 1.59e-03 2.257252e+00 -8.282523e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1250.87 rel. change during last iteration : -5.16965e-09 degrees of freedom (FIT_NDF) : 12912 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.31125 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0968768 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.25725 +/- 0.002775 (0.1229%) b = -8.28252 +/- 2.435 (29.39%) correlation matrix of the fit parameters: a b a 1.000 b -0.161 1.000 ******************************************************************************* Mon Jul 10 09:50:52 2023 FIT: data read from 'all_Energy_spin_time.dat' u 3:(abs($6)<0.1 ? $8:1/0) format = x:z #datapoints = 12914 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.2508726835e+03 0.00e+00 1.60e+00 2.257252e+00 -8.282523e+00 1 1.2508726835e+03 0.00e+00 1.60e-01 2.257252e+00 -8.282522e+00 After 1 iterations the fit converged. final sum of squares of residuals : 1250.87 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 12912 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.31125 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0968768 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.25725 +/- 0.002775 (0.1229%) b = -8.28252 +/- 2.435 (29.39%) correlation matrix of the fit parameters: a b a 1.000 b -0.161 1.000 ******************************************************************************* Mon Jul 10 09:51:01 2023 FIT: data read from 'all_Energy_spin_time.dat' u 3:(abs($6)<0.01 ? $8:1/0) format = x:z #datapoints = 1445 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.6066590983e+02 0.00e+00 1.60e+00 2.257252e+00 -8.282522e+00 3 1.6054376068e+02 -1.97e-01 1.60e-03 2.248016e+00 -5.672412e+00 After 3 iterations the fit converged. final sum of squares of residuals : 160.544 rel. change during last iteration : -1.96971e-06 degrees of freedom (FIT_NDF) : 1443 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.333552 variance of residuals (reduced chisquare) = WSSR/ndf : 0.111257 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.24802 +/- 0.008916 (0.3966%) b = -5.67241 +/- 7.698 (135.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.177 1.000 ******************************************************************************* Mon Jul 10 09:52:43 2023 FIT: data read from 'all_Energy_spin_time.dat' u 51:(abs($54)<0.01 ? $56:1/0) format = x:z #datapoints = 1453 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.8670380086e+05 0.00e+00 1.59e+00 2.248016e+00 -5.672412e+00 3 1.4453039109e+02 -1.56e-01 1.59e-03 1.357944e+01 -6.856786e+00 After 3 iterations the fit converged. final sum of squares of residuals : 144.53 rel. change during last iteration : -1.56247e-06 degrees of freedom (FIT_NDF) : 1451 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.315606 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0996074 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.5794 +/- 0.008406 (0.0619%) b = -6.85679 +/- 7.337 (107%) correlation matrix of the fit parameters: a b a 1.000 b -0.173 1.000 ******************************************************************************* Mon Jul 10 09:52:57 2023 FIT: data read from 'all_Energy_spin_time.dat' u 51:(abs($54)<0.5 ? $56:1/0) format = x:z #datapoints = 26321 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.8769023579e+03 0.00e+00 9.60e+00 1.357944e+01 -6.856786e+00 4 3.8760652742e+03 -9.36e-05 9.60e-04 1.358115e+01 -1.180191e+01 After 4 iterations the fit converged. final sum of squares of residuals : 3876.07 rel. change during last iteration : -9.36257e-10 degrees of freedom (FIT_NDF) : 26319 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.383761 variance of residuals (reduced chisquare) = WSSR/ndf : 0.147273 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.5811 +/- 0.002399 (0.01766%) b = -11.8019 +/- 2.093 (17.74%) correlation matrix of the fit parameters: a b a 1.000 b -0.167 1.000 ******************************************************************************* Wed Jul 12 11:46:45 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s #datapoints = 70 function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.8813909828e+06 0.00e+00 1.31e+02 1.000000e+00 1.000000e+00 5 4.6546071658e+03 -6.38e-03 1.31e-03 -9.979284e-02 1.075237e+01 After 5 iterations the fit converged. final sum of squares of residuals : 4654.61 rel. change during last iteration : -6.38255e-08 degrees of freedom (FIT_NDF) : 68 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.27346 variance of residuals (reduced chisquare) = WSSR/ndf : 68.4501 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0997928 +/- 0.005486 (5.498%) b = 10.7524 +/- 3.608 (33.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.222 1.000 ******************************************************************************* Wed Jul 12 11:47:36 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s #datapoints = 70 function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.6546071658e+03 0.00e+00 1.32e+01 -9.979284e-02 1.075237e+01 1 4.6546071658e+03 -3.91e-11 1.32e+00 -9.979284e-02 1.075237e+01 After 1 iterations the fit converged. final sum of squares of residuals : 4654.61 rel. change during last iteration : -3.90793e-16 degrees of freedom (FIT_NDF) : 68 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.27346 variance of residuals (reduced chisquare) = WSSR/ndf : 68.4501 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0997928 +/- 0.005486 (5.498%) b = 10.7524 +/- 3.608 (33.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.222 1.000 ******************************************************************************* Wed Jul 12 11:47:58 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2 format = x:z #datapoints = 70 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2190438336e-01 0.00e+00 7.23e-02 -9.979284e-02 1.075237e+01 3 2.9305086869e-01 -3.26e-03 7.23e-05 -1.294700e-01 -1.613993e+01 After 3 iterations the fit converged. final sum of squares of residuals : 0.293051 rel. change during last iteration : -3.25684e-08 degrees of freedom (FIT_NDF) : 68 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0656473 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00430957 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.12947 +/- 0.008039 (6.209%) b = -16.1399 +/- 3.883 (24.06%) correlation matrix of the fit parameters: a b a 1.000 b -0.217 1.000 ******************************************************************************* Wed Jul 12 11:48:35 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 format = x:z:s #datapoints = 70 function used for fitting: f(x) f(x) = a+b*x BREAK: Need via and either parameter list or file ******************************************************************************* Wed Jul 12 11:48:47 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s #datapoints = 70 function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.2050125005e+04 0.00e+00 1.72e+01 -1.294700e-01 -1.613993e+01 3 4.6546071658e+03 -1.20e-02 1.72e-02 -9.979284e-02 1.075237e+01 After 3 iterations the fit converged. final sum of squares of residuals : 4654.61 rel. change during last iteration : -1.19987e-07 degrees of freedom (FIT_NDF) : 68 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.27346 variance of residuals (reduced chisquare) = WSSR/ndf : 68.4501 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0997928 +/- 0.005486 (5.498%) b = 10.7524 +/- 3.608 (33.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.222 1.000 ******************************************************************************* Wed Jul 12 11:49:08 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:4 yerror format = x:z:s Current data point ========================= # = 1 out of 70 x = -0.003 z = -0.064 s = 0 BREAK: Zero error value in data file ******************************************************************************* Wed Jul 12 11:49:28 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s #datapoints = 70 function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.8637012898e+06 0.00e+00 1.31e+02 1.000000e+00 -1.000000e+01 4 4.6546071658e+03 -2.90e-02 1.31e-02 -9.979284e-02 1.075237e+01 After 4 iterations the fit converged. final sum of squares of residuals : 4654.61 rel. change during last iteration : -2.90441e-07 degrees of freedom (FIT_NDF) : 68 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.27346 variance of residuals (reduced chisquare) = WSSR/ndf : 68.4501 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0997928 +/- 0.005486 (5.498%) b = 10.7524 +/- 3.608 (33.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.222 1.000 ******************************************************************************* Wed Jul 12 11:50:00 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s x range restricted to [-0.00200000 : 0.00200000] #datapoints = 41 function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.5129461805e+03 0.00e+00 1.51e+01 -9.979284e-02 1.075237e+01 4 9.0643815978e+02 -3.61e-08 1.51e-03 -1.162051e-01 -1.474684e+01 After 4 iterations the fit converged. final sum of squares of residuals : 906.438 rel. change during last iteration : -3.61339e-13 degrees of freedom (FIT_NDF) : 39 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.821 variance of residuals (reduced chisquare) = WSSR/ndf : 23.242 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.116205 +/- 0.003558 (3.062%) b = -14.7468 +/- 3.443 (23.34%) correlation matrix of the fit parameters: a b a 1.000 b 0.116 1.000 ******************************************************************************* Wed Jul 12 11:50:35 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s x range restricted to [-0.00250000 : 0.00250000] #datapoints = 51 function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0219707641e+03 0.00e+00 1.62e+01 -1.162051e-01 -1.474684e+01 3 1.0197210159e+03 -6.18e-04 1.62e-02 -1.163836e-01 -1.571200e+01 After 3 iterations the fit converged. final sum of squares of residuals : 1019.72 rel. change during last iteration : -6.18451e-09 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.56187 variance of residuals (reduced chisquare) = WSSR/ndf : 20.8106 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.116384 +/- 0.003293 (2.829%) b = -15.712 +/- 2.937 (18.69%) correlation matrix of the fit parameters: a b a 1.000 b 0.131 1.000 ******************************************************************************* Wed Jul 12 11:51:07 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s x range restricted to [-0.00280000 : 0.00280000] #datapoints = 57 function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 9.6508554055e+03 0.00e+00 1.71e+01 -1.163836e-01 -1.571200e+01 3 4.5722460246e+03 -1.53e-02 1.71e-02 -9.979109e-02 1.082176e+01 After 3 iterations the fit converged. final sum of squares of residuals : 4572.25 rel. change during last iteration : -1.52607e-07 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.11766 variance of residuals (reduced chisquare) = WSSR/ndf : 83.1317 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0997911 +/- 0.006053 (6.066%) b = 10.8218 +/- 4.041 (37.34%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Jul 12 13:18:42 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s #datapoints = 36 function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.4599254025e+03 0.00e+00 1.60e+01 -9.979109e-02 1.082176e+01 4 4.9761440885e+02 -4.20e-08 1.60e-03 -1.213223e-01 -1.201601e+01 After 4 iterations the fit converged. final sum of squares of residuals : 497.614 rel. change during last iteration : -4.20487e-13 degrees of freedom (FIT_NDF) : 34 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.82567 variance of residuals (reduced chisquare) = WSSR/ndf : 14.6357 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.121322 +/- 0.002835 (2.337%) b = -12.016 +/- 2.492 (20.74%) correlation matrix of the fit parameters: a b a 1.000 b 0.058 1.000 ******************************************************************************* Fri Jul 14 10:36:54 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s x range restricted to [-0.0200000 : 0.0200000] #datapoints = 21 function used for fitting: f(x) f(x) = coef0+coef1*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.8965216953e+00 0.00e+00 0.00e+00 1.000000e+00 1.000000e+00 BREAK: Singular matrix in Givens() ******************************************************************************* Fri Jul 14 10:37:08 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s x range restricted to [-0.0200000 : 0.0200000] #datapoints = 21 function used for fitting: f(x) f(x) = coef0+coef1*x fitted parameters initialized with current variable values iter chisq delta/lim lambda coef0 coef1 0 4.8965216953e+00 0.00e+00 1.97e+02 2.146600e+00 -4.079500e-01 5 4.0428277498e+00 -4.22e-04 1.97e-03 2.148145e+00 -4.201893e-01 After 5 iterations the fit converged. final sum of squares of residuals : 4.04283 rel. change during last iteration : -4.22475e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.461281 variance of residuals (reduced chisquare) = WSSR/ndf : 0.21278 p-value of the Chisq distribution (FIT_P) : 0.999885 Final set of parameters Asymptotic Standard Error ======================= ========================== coef0 = 2.14814 +/- 0.0007739 (0.03603%) coef1 = -0.420189 +/- 0.06623 (15.76%) correlation matrix of the fit parameters: coef0 coef1 coef0 1.000 coef1 -0.011 1.000 ******************************************************************************* Fri Jul 14 10:37:47 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s x range restricted to [-0.0100000 : 0.0100000] #datapoints = 11 function used for fitting: f(x) f(x) = coef0+coef1*x fitted parameters initialized with current variable values iter chisq delta/lim lambda coef0 coef1 0 2.6694792509e+00 0.00e+00 2.04e+02 2.148145e+00 -4.201893e-01 6 1.8789479748e+00 -8.71e-07 2.04e-04 2.149609e+00 -2.026715e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.87895 rel. change during last iteration : -8.70808e-12 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.456916 variance of residuals (reduced chisquare) = WSSR/ndf : 0.208772 p-value of the Chisq distribution (FIT_P) : 0.99324 Final set of parameters Asymptotic Standard Error ======================= ========================== coef0 = 2.14961 +/- 0.001027 (0.04779%) coef1 = -0.202671 +/- 0.164 (80.91%) correlation matrix of the fit parameters: coef0 coef1 coef0 1.000 coef1 0.001 1.000 ******************************************************************************* Fri Jul 14 10:38:07 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s x range restricted to [-0.00500000 : 0.00500000] #datapoints = 5 function used for fitting: f(x) f(x) = coef0+coef1*x fitted parameters initialized with current variable values iter chisq delta/lim lambda coef0 coef1 0 6.2527762409e-01 0.00e+00 2.06e+02 2.149609e+00 -2.026715e-01 7 1.7796228806e-01 -6.46e-08 2.06e-05 2.151590e+00 -5.496967e-01 After 7 iterations the fit converged. final sum of squares of residuals : 0.177962 rel. change during last iteration : -6.46156e-13 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.243559 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0593208 p-value of the Chisq distribution (FIT_P) : 0.981066 Final set of parameters Asymptotic Standard Error ======================= ========================== coef0 = 2.15159 +/- 0.0008047 (0.0374%) coef1 = -0.549697 +/- 0.2851 (51.87%) correlation matrix of the fit parameters: coef0 coef1 coef0 1.000 coef1 -0.000 1.000 ******************************************************************************* Fri Jul 14 10:53:03 2023 FIT: data read from 'DistStartInjLine_phase_space.dat_trimmed' u 9:15 format = x:z #datapoints = 2097914 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = coef0+coef1*x fitted parameters initialized with current variable values iter chisq delta/lim lambda coef0 coef1 0 5.0084248756e+05 0.00e+00 1.52e+00 2.151590e+00 -5.496967e-01 2 4.6748655908e+05 -4.46e-03 1.52e-02 2.277893e+00 -9.872805e-01 After 2 iterations the fit converged. final sum of squares of residuals : 467487 rel. change during last iteration : -4.46265e-08 degrees of freedom (FIT_NDF) : 2097912 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.472053 variance of residuals (reduced chisquare) = WSSR/ndf : 0.222834 Final set of parameters Asymptotic Standard Error ======================= ========================== coef0 = 2.27789 +/- 0.0003265 (0.01433%) coef1 = -0.987281 +/- 0.02064 (2.09%) correlation matrix of the fit parameters: coef0 coef1 coef0 1.000 coef1 -0.058 1.000 ******************************************************************************* Fri Jul 14 10:57:29 2023 FIT: data read from 'MARK_INFLECTOR_DS_phase_space.dat_trimmed' u 9:15 format = x:z #datapoints = 1366014 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = coef0+coef1*x fitted parameters initialized with current variable values iter chisq delta/lim lambda coef0 coef1 0 3.0704668625e+05 0.00e+00 1.61e+00 2.277893e+00 -9.872805e-01 2 3.0595037691e+05 -1.40e-05 1.61e-02 2.306142e+00 -9.424173e-01 After 2 iterations the fit converged. final sum of squares of residuals : 305950 rel. change during last iteration : -1.39502e-10 degrees of freedom (FIT_NDF) : 1366012 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.473258 variance of residuals (reduced chisquare) = WSSR/ndf : 0.223973 Final set of parameters Asymptotic Standard Error ======================= ========================== coef0 = 2.30614 +/- 0.0004071 (0.01765%) coef1 = -0.942417 +/- 0.02611 (2.77%) correlation matrix of the fit parameters: coef0 coef1 coef0 1.000 coef1 -0.103 1.000 ******************************************************************************* Fri Jul 14 11:25:31 2023 FIT: data read from 'DistStartInjLine_phase_space.dat_trimmed' u 9:15 format = x:z #datapoints = 834200 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = coef0+coef1*x fitted parameters initialized with current variable values iter chisq delta/lim lambda coef0 coef1 0 1.8921811566e+05 0.00e+00 1.63e+00 2.306142e+00 -9.424173e-01 2 1.8865958853e+05 -8.63e-03 1.63e-02 2.280302e+00 -1.189461e+00 After 2 iterations the fit converged. final sum of squares of residuals : 188660 rel. change during last iteration : -8.62978e-08 degrees of freedom (FIT_NDF) : 834198 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.47556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.226157 Final set of parameters Asymptotic Standard Error ======================= ========================== coef0 = 2.2803 +/- 0.0005207 (0.02283%) coef1 = -1.18946 +/- 0.09103 (7.653%) correlation matrix of the fit parameters: coef0 coef1 coef0 1.000 coef1 0.003 1.000 ******************************************************************************* Fri Jul 14 11:32:33 2023 FIT: data read from 'MARK_INFLECTOR_DS_phase_space.dat_trimmed' u 9:15 format = x:z #datapoints = 556934 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = coef0+coef1*x fitted parameters initialized with current variable values iter chisq delta/lim lambda coef0 coef1 0 1.2799986287e+05 0.00e+00 1.61e+00 2.280302e+00 -1.189461e+00 2 1.2761511141e+05 -1.16e-02 1.61e-02 2.306523e+00 -1.500884e+00 After 2 iterations the fit converged. final sum of squares of residuals : 127615 rel. change during last iteration : -1.16124e-07 degrees of freedom (FIT_NDF) : 556932 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.478685 variance of residuals (reduced chisquare) = WSSR/ndf : 0.229139 Final set of parameters Asymptotic Standard Error ======================= ========================== coef0 = 2.30652 +/- 0.0006414 (0.02781%) coef1 = -1.50088 +/- 0.1121 (7.467%) correlation matrix of the fit parameters: coef0 coef1 coef0 1.000 coef1 0.001 1.000 ******************************************************************************* Tue Aug 29 11:16:57 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 17:16 format = x:z #datapoints = 27397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.7386412418e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.4807842853e-02 -3.74e-05 7.07e-04 1.938793e-04 1.000365e+00 After 3 iterations the fit converged. final sum of squares of residuals : 0.0348078 rel. change during last iteration : -3.74266e-10 degrees of freedom (FIT_NDF) : 27395 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011272 variance of residuals (reduced chisquare) = WSSR/ndf : 1.27059e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000193879 +/- 1.561e-05 (8.053%) b = 1.00036 +/- 285.8 (2.857e+04%) correlation matrix of the fit parameters: a b a 1.000 b 0.900 1.000 ******************************************************************************* Tue Aug 29 11:17:56 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 16:21 format = x:z #datapoints = 27397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4718878109e+05 0.00e+00 8.21e-04 1.938793e-04 1.000365e+00 3 5.4930259918e+03 -4.97e-11 8.21e-07 2.276748e+00 -1.141210e+01 After 3 iterations the fit converged. final sum of squares of residuals : 5493.03 rel. change during last iteration : -4.96718e-16 degrees of freedom (FIT_NDF) : 27395 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.447786 variance of residuals (reduced chisquare) = WSSR/ndf : 0.200512 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27675 +/- 0.002745 (0.1206%) b = -11.4121 +/- 2.4 (21.03%) correlation matrix of the fit parameters: a b a 1.000 b -0.169 1.000 ******************************************************************************* Fri Sep 8 09:53:25 2023 FIT: data read from 'DistStartInjLine_phase_space.dat_trimmed' u 9:15 format = x:z #datapoints = 834200 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.5562614950e+06 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 1.8865958853e+05 -2.24e-02 7.07e-03 2.280302e+00 -1.189481e+00 After 2 iterations the fit converged. final sum of squares of residuals : 188660 rel. change during last iteration : -2.24456e-07 degrees of freedom (FIT_NDF) : 834198 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.47556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.226157 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.2803 +/- 0.0005207 (0.02283%) b = -1.18948 +/- 0.09103 (7.653%) correlation matrix of the fit parameters: a b a 1.000 b 0.003 1.000 ******************************************************************************* Thu Jul 4 14:27:17 2024 FIT: data read from 'all_Energy_vs_time_spin.dat' u 4:6 format = x:z #datapoints = 27397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.6841060901e+00 0.00e+00 5.77e-03 1.000000e-02 1.000000e-02 1.000000e+00 3 3.4753681343e-02 -2.41e-02 5.77e-06 2.316380e-04 -6.170001e-04 -1.458274e+00 After 3 iterations the fit converged. final sum of squares of residuals : 0.0347537 rel. change during last iteration : -2.41038e-07 degrees of freedom (FIT_NDF) : 27394 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00112635 variance of residuals (reduced chisquare) = WSSR/ndf : 1.26866e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000231638 +/- 8.942e-06 (3.86%) b = -0.000617 +/- 0.001339 (217%) c = -1.45827 +/- 0.2243 (15.38%) correlation matrix of the fit parameters: a b c a 1.000 b 0.003 1.000 c -0.648 -0.034 1.000 ******************************************************************************* Thu Jul 4 14:27:21 2024 FIT: data read from 'all_Energy_vs_time_spin.dat' u 4:6 format = x:z #datapoints = 27397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.4753681343e-02 0.00e+00 1.38e-04 2.316380e-04 -6.170001e-04 -1.458274e+00 1 3.4753681343e-02 -4.19e-10 1.38e-05 2.316381e-04 -6.170001e-04 -1.458276e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0347537 rel. change during last iteration : -4.19284e-15 degrees of freedom (FIT_NDF) : 27394 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00112635 variance of residuals (reduced chisquare) = WSSR/ndf : 1.26866e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000231638 +/- 8.942e-06 (3.86%) b = -0.000617 +/- 0.001339 (217%) c = -1.45828 +/- 0.2243 (15.38%) correlation matrix of the fit parameters: a b c a 1.000 b 0.003 1.000 c -0.648 -0.034 1.000 ******************************************************************************* Thu Jul 4 18:38:56 2024 FIT: data read from 'all_Energy_vs_time_spin.dat' u 4:6 format = x:z #datapoints = 27397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.7395352657e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 5 3.4753681343e-02 -2.38e-02 5.77e-06 2.316380e-04 -6.170006e-04 -1.458274e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0347537 rel. change during last iteration : -2.38324e-07 degrees of freedom (FIT_NDF) : 27394 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00112635 variance of residuals (reduced chisquare) = WSSR/ndf : 1.26866e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000231638 +/- 8.942e-06 (3.86%) b = -0.000617001 +/- 0.001339 (217%) c = -1.45827 +/- 0.2243 (15.38%) correlation matrix of the fit parameters: a b c a 1.000 b 0.003 1.000 c -0.648 -0.034 1.000 ******************************************************************************* Thu Jul 4 18:39:01 2024 FIT: data read from 'all_Energy_vs_time_spin.dat' u 4:6 format = x:z #datapoints = 27397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.4753681343e-02 0.00e+00 1.38e-04 2.316380e-04 -6.170006e-04 -1.458274e+00 1 3.4753681343e-02 -4.19e-10 1.38e-05 2.316381e-04 -6.170002e-04 -1.458276e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0347537 rel. change during last iteration : -4.19284e-15 degrees of freedom (FIT_NDF) : 27394 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00112635 variance of residuals (reduced chisquare) = WSSR/ndf : 1.26866e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000231638 +/- 8.942e-06 (3.86%) b = -0.000617 +/- 0.001339 (217%) c = -1.45828 +/- 0.2243 (15.38%) correlation matrix of the fit parameters: a b c a 1.000 b 0.003 1.000 c -0.648 -0.034 1.000 ******************************************************************************* Wed Oct 9 16:21:59 2024 FIT: data read from 'all_phase_space_at_20104_ns.dat' u 6:9 format = x:z #datapoints = 27371 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.7330057068e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 4 3.4791502751e-02 -8.33e-01 5.77e-05 2.138080e-04 2.089395e-04 -1.115185e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.0347915 rel. change during last iteration : -8.32666e-06 degrees of freedom (FIT_NDF) : 27368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011275 variance of residuals (reduced chisquare) = WSSR/ndf : 1.27125e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000213808 +/- 8.53e-06 (3.99%) b = 0.00020894 +/- 0.0004942 (236.5%) c = -0.111518 +/- 0.02607 (23.38%) correlation matrix of the fit parameters: a b c a 1.000 b -0.077 1.000 c -0.599 0.208 1.000 ******************************************************************************* Thu Jan 23 15:04:45 2025 FIT: data read from 'all_Energy_vs_time_spin.dat' u 16:20 format = x:z #datapoints = 27397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)= a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.1874692192e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 2.1271440603e+03 -7.52e-01 7.07e-04 -5.966645e-01 6.769743e+00 After 3 iterations the fit converged. final sum of squares of residuals : 2127.14 rel. change during last iteration : -7.51507e-06 degrees of freedom (FIT_NDF) : 27395 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.278652 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0776472 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.596664 +/- 0.001708 (0.2863%) b = 6.76974 +/- 1.494 (22.06%) correlation matrix of the fit parameters: a b a 1.000 b -0.169 1.000 ******************************************************************************* Mon Feb 10 13:45:31 2025 FIT: data read from 'all_phase_space_at_20104_ns.dat' u 9:15 format = x:z #datapoints = 27371 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values ******************************************************************************* Mon Feb 10 13:45:38 2025 FIT: data read from 'all_phase_space_at_20104_ns.dat' u 9:15 format = x:z #datapoints = 27371 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.5134893276e+07 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 8.1373364640e+03 -7.96e-01 7.07e-04 3.130084e+01 -1.060958e+01 After 3 iterations the fit converged. final sum of squares of residuals : 8137.34 rel. change during last iteration : -7.95893e-06 degrees of freedom (FIT_NDF) : 27369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.54527 variance of residuals (reduced chisquare) = WSSR/ndf : 0.297319 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 31.3008 +/- 0.003343 (0.01068%) b = -10.6096 +/- 2.922 (27.54%) correlation matrix of the fit parameters: a b a 1.000 b -0.167 1.000 ******************************************************************************* Fri May 16 14:27:48 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4739987052e+11 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 5.5303883480e+09 -1.23e-03 7.12e-03 2.276781e+03 -1.173726e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.53039e+09 rel. change during last iteration : -1.22639e-08 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 448.896 variance of residuals (reduced chisquare) = WSSR/ndf : 201508 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2276.78 +/- 2.75 (0.1208%) b = -117.373 +/- 24.02 (20.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.170 1.000 ******************************************************************************* Fri May 16 14:27:50 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.8799792149e+04 0.00e+00 9.30e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 3.4701125086e+02 -2.43e-02 9.30e-03 2.619525e-02 7.450164e-04 -1.122801e-02 After 2 iterations the fit converged. final sum of squares of residuals : 347.011 rel. change during last iteration : -2.43004e-07 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112447 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126443 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0261953 +/- 0.0008433 (3.219%) bb = 0.000745016 +/- 0.0008827 (118.5%) cc = -0.011228 +/- 0.000844 (7.517%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.014 1.000 cc -0.593 0.062 1.000 ******************************************************************************* Fri May 16 14:27:53 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.1514178957e+12 0.00e+00 1.61e+03 2.276781e+03 -1.173726e+02 2 5.5752593654e+09 -3.63e-01 1.61e+01 1.841254e+04 -1.369575e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.57526e+09 rel. change during last iteration : -3.63496e-06 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.714 variance of residuals (reduced chisquare) = WSSR/ndf : 203143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18412.5 +/- 2.76 (0.01499%) b = -136.957 +/- 24.1 (17.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.168 1.000 ******************************************************************************* Fri May 16 14:27:54 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.8137139251e+02 0.00e+00 2.83e-02 2.619525e-02 7.450164e-04 -1.122801e-02 2 3.4917088108e+02 -2.75e-03 2.83e-04 2.282847e-02 2.480350e-04 -1.517882e-03 After 2 iterations the fit converged. final sum of squares of residuals : 349.171 rel. change during last iteration : -2.74527e-08 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112796 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012723 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0228285 +/- 0.0008786 (3.849%) bb = 0.000248035 +/- 0.0005102 (205.7%) cc = -0.00151788 +/- 0.0002627 (17.31%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.147 1.000 cc -0.616 0.446 1.000 ******************************************************************************* Fri May 16 15:22:58 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4739987052e+11 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 5.5303883480e+09 -1.23e-03 7.12e-03 2.276781e+03 -1.173726e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.53039e+09 rel. change during last iteration : -1.22639e-08 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 448.896 variance of residuals (reduced chisquare) = WSSR/ndf : 201508 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2276.78 +/- 2.75 (0.1208%) b = -117.373 +/- 24.02 (20.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.170 1.000 ******************************************************************************* Fri May 16 15:22:59 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.8799792149e+04 0.00e+00 9.30e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 3.4701125086e+02 -2.43e-02 9.30e-03 2.619525e-02 7.450164e-04 -1.122801e-02 After 2 iterations the fit converged. final sum of squares of residuals : 347.011 rel. change during last iteration : -2.43004e-07 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112447 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126443 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0261953 +/- 0.0008433 (3.219%) bb = 0.000745016 +/- 0.0008827 (118.5%) cc = -0.011228 +/- 0.000844 (7.517%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.014 1.000 cc -0.593 0.062 1.000 ******************************************************************************* Fri May 16 15:23:02 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 8.0476948026e+10 0.00e+00 1.61e+03 2.276781e+03 -1.173726e+02 2 5.5864409226e+09 -8.45e-02 1.61e+01 3.928813e+03 -1.277465e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.58644e+09 rel. change during last iteration : -8.45392e-07 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.166 variance of residuals (reduced chisquare) = WSSR/ndf : 203550 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 3928.81 +/- 2.763 (0.07032%) b = -127.746 +/- 24.12 (18.88%) correlation matrix of the fit parameters: a b a 1.000 b -0.168 1.000 ******************************************************************************* Fri May 16 15:23:04 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.8207405926e+02 0.00e+00 2.42e-02 2.619525e-02 7.450164e-04 -1.122801e-02 2 3.4830848051e+02 -1.43e-01 2.42e-04 1.565756e-02 4.604321e-03 3.349568e-03 After 2 iterations the fit converged. final sum of squares of residuals : 348.308 rel. change during last iteration : -1.42996e-06 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112657 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126916 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0156576 +/- 0.0008271 (5.282%) bb = 0.00460432 +/- 0.0006353 (13.8%) cc = 0.00334957 +/- 0.0003228 (9.637%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.014 1.000 cc -0.493 0.476 1.000 ******************************************************************************* Fri May 16 15:23:06 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.6771086037e+10 0.00e+00 2.78e+03 3.928813e+03 -1.277465e+02 2 5.5814152878e+09 -9.77e-02 2.78e+01 5.539444e+03 -1.345169e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.58142e+09 rel. change during last iteration : -9.77393e-07 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.963 variance of residuals (reduced chisquare) = WSSR/ndf : 203367 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5539.44 +/- 2.761 (0.04985%) b = -134.517 +/- 24.11 (17.93%) correlation matrix of the fit parameters: a b a 1.000 b -0.168 1.000 ******************************************************************************* Fri May 16 15:23:08 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.5251866930e+02 0.00e+00 1.26e-02 1.565756e-02 4.604321e-03 3.349568e-03 2 3.4971732496e+02 -9.59e-06 1.26e-04 1.886911e-02 6.728290e-04 2.285097e-04 After 2 iterations the fit converged. final sum of squares of residuals : 349.717 rel. change during last iteration : -9.59077e-11 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112885 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127429 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0188691 +/- 0.0008893 (4.713%) bb = 0.000672829 +/- 0.0004624 (68.72%) cc = 0.00022851 +/- 0.0002372 (103.8%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.099 1.000 cc -0.630 0.347 1.000 ******************************************************************************* Fri May 16 15:23:11 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.6597983052e+10 0.00e+00 3.92e+03 5.539444e+03 -1.345169e+02 2 5.5768316141e+09 -4.20e-03 3.92e+01 7.148017e+03 -1.334204e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.57683e+09 rel. change during last iteration : -4.20053e-08 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.777 variance of residuals (reduced chisquare) = WSSR/ndf : 203200 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7148.02 +/- 2.76 (0.03862%) b = -133.42 +/- 24.1 (18.06%) correlation matrix of the fit parameters: a b a 1.000 b -0.168 1.000 ******************************************************************************* Fri May 16 15:23:12 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.4992558488e+02 0.00e+00 1.09e-02 1.886911e-02 6.728290e-04 2.285097e-04 2 3.4975306598e+02 -6.82e-03 1.09e-04 2.039195e-02 -6.452629e-04 -5.531594e-04 After 2 iterations the fit converged. final sum of squares of residuals : 349.753 rel. change during last iteration : -6.82004e-08 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11289 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127442 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0203919 +/- 0.0009137 (4.481%) bb = -0.000645263 +/- 0.0004724 (73.22%) cc = -0.000553159 +/- 0.0002892 (52.28%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.029 1.000 cc -0.665 0.115 1.000 ******************************************************************************* Fri May 16 15:23:15 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.6696093027e+10 0.00e+00 5.05e+03 7.148017e+03 -1.334204e+02 2 5.5795910568e+09 -5.25e-02 5.05e+01 8.757757e+03 -1.368844e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.57959e+09 rel. change during last iteration : -5.25322e-07 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.889 variance of residuals (reduced chisquare) = WSSR/ndf : 203301 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8757.76 +/- 2.761 (0.03153%) b = -136.884 +/- 24.11 (17.61%) correlation matrix of the fit parameters: a b a 1.000 b -0.168 1.000 ******************************************************************************* Fri May 16 15:23:17 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.5025050280e+02 0.00e+00 1.18e-02 2.039195e-02 -6.452629e-04 -5.531594e-04 2 3.4808289686e+02 -1.07e-01 1.18e-04 1.557114e-02 5.985773e-03 4.537811e-03 After 2 iterations the fit converged. final sum of squares of residuals : 348.083 rel. change during last iteration : -1.07197e-06 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112621 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126834 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0155711 +/- 0.0008509 (5.465%) bb = 0.00598577 +/- 0.000712 (11.89%) cc = 0.00453781 +/- 0.0004047 (8.919%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.057 1.000 cc -0.489 0.504 1.000 ******************************************************************************* Fri May 16 15:23:19 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.6676407443e+10 0.00e+00 6.19e+03 8.757757e+03 -1.368844e+02 2 5.5781315330e+09 -4.61e-03 6.19e+01 1.036721e+04 -1.359639e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.57813e+09 rel. change during last iteration : -4.60951e-08 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.83 variance of residuals (reduced chisquare) = WSSR/ndf : 203248 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 10367.2 +/- 2.761 (0.02663%) b = -135.964 +/- 24.1 (17.73%) correlation matrix of the fit parameters: a b a 1.000 b -0.168 1.000 ******************************************************************************* Fri May 16 15:23:21 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.5396306462e+02 0.00e+00 1.28e-02 1.557114e-02 5.985773e-03 4.537811e-03 2 3.4980911787e+02 -8.37e-06 1.28e-04 1.848874e-02 -1.935501e-04 4.517209e-04 After 2 iterations the fit converged. final sum of squares of residuals : 349.809 rel. change during last iteration : -8.36521e-11 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112899 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127463 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0184887 +/- 0.0008242 (4.458%) bb = -0.00019355 +/- 0.0005331 (275.4%) cc = 0.000451721 +/- 0.0002772 (61.37%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.025 1.000 cc -0.558 0.170 1.000 ******************************************************************************* Fri May 16 15:23:24 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.6643190292e+10 0.00e+00 7.33e+03 1.036721e+04 -1.359639e+02 2 5.5794300731e+09 -8.03e-03 7.33e+01 1.197626e+04 -1.348058e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.57943e+09 rel. change during last iteration : -8.02827e-08 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.882 variance of residuals (reduced chisquare) = WSSR/ndf : 203295 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11976.3 +/- 2.761 (0.02305%) b = -134.806 +/- 24.1 (17.88%) correlation matrix of the fit parameters: a b a 1.000 b -0.168 1.000 ******************************************************************************* Fri May 16 15:23:25 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.5019661250e+02 0.00e+00 1.07e-02 1.848874e-02 -1.935501e-04 4.517209e-04 2 3.4942850855e+02 -2.44e-02 1.07e-04 2.259664e-02 -9.137142e-04 -1.458229e-03 After 2 iterations the fit converged. final sum of squares of residuals : 349.429 rel. change during last iteration : -2.43681e-07 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112838 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127324 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0225966 +/- 0.0008995 (3.981%) bb = -0.000913714 +/- 0.0004527 (49.55%) cc = -0.00145823 +/- 0.0002466 (16.91%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.021 1.000 cc -0.641 0.220 1.000 ******************************************************************************* Fri May 16 15:23:28 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.6704617160e+10 0.00e+00 8.47e+03 1.197626e+04 -1.348058e+02 2 5.5787784101e+09 -3.98e-03 8.47e+01 1.358603e+04 -1.340540e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.57878e+09 rel. change during last iteration : -3.98432e-08 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.856 variance of residuals (reduced chisquare) = WSSR/ndf : 203271 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13586 +/- 2.761 (0.02032%) b = -134.054 +/- 24.11 (17.98%) correlation matrix of the fit parameters: a b a 1.000 b -0.168 1.000 ******************************************************************************* Fri May 16 15:23:30 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.5019893146e+02 0.00e+00 1.33e-02 2.259664e-02 -9.137142e-04 -1.458229e-03 2 3.4964624329e+02 -3.13e-03 1.33e-04 1.912697e-02 1.969542e-03 4.483368e-04 After 2 iterations the fit converged. final sum of squares of residuals : 349.646 rel. change during last iteration : -3.12996e-08 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112873 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127404 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.019127 +/- 0.0008944 (4.676%) bb = 0.00196954 +/- 0.0005652 (28.69%) cc = 0.000448337 +/- 0.0003157 (70.41%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.109 1.000 cc -0.609 0.493 1.000 ******************************************************************************* Fri May 16 15:23:32 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.6634734260e+10 0.00e+00 9.61e+03 1.358603e+04 -1.340540e+02 2 5.5757939106e+09 -7.45e-04 9.61e+01 1.519505e+04 -1.342657e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.57579e+09 rel. change during last iteration : -7.4482e-09 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.735 variance of residuals (reduced chisquare) = WSSR/ndf : 203162 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 15195.1 +/- 2.76 (0.01816%) b = -134.266 +/- 24.1 (17.95%) correlation matrix of the fit parameters: a b a 1.000 b -0.168 1.000 ******************************************************************************* Fri May 16 15:23:34 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.4966221911e+02 0.00e+00 1.11e-02 1.912697e-02 1.969542e-03 4.483368e-04 2 3.4821231529e+02 -1.23e-02 1.11e-04 1.390628e-02 3.699851e-04 3.860891e-03 After 2 iterations the fit converged. final sum of squares of residuals : 348.212 rel. change during last iteration : -1.22763e-07 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112641 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126881 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0139063 +/- 0.0008373 (6.021%) bb = 0.000369985 +/- 0.0005857 (158.3%) cc = 0.00386089 +/- 0.0003535 (9.155%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.050 1.000 cc -0.581 0.182 1.000 ******************************************************************************* Fri May 16 15:23:37 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.6667789647e+10 0.00e+00 1.07e+04 1.519505e+04 -1.342657e+02 2 5.5774554370e+09 -1.49e-02 1.07e+02 1.680445e+04 -1.356448e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.57746e+09 rel. change during last iteration : -1.48503e-07 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.803 variance of residuals (reduced chisquare) = WSSR/ndf : 203223 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 16804.5 +/- 2.76 (0.01643%) b = -135.645 +/- 24.1 (17.77%) correlation matrix of the fit parameters: a b a 1.000 b -0.168 1.000 ******************************************************************************* Fri May 16 15:23:38 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.5367527419e+02 0.00e+00 1.12e-02 1.390628e-02 3.699851e-04 3.860891e-03 2 3.4973665859e+02 -1.12e-03 1.12e-04 1.993921e-02 -9.732093e-05 -3.465622e-04 After 2 iterations the fit converged. final sum of squares of residuals : 349.737 rel. change during last iteration : -1.11725e-08 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112888 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127436 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0199392 +/- 0.0008371 (4.198%) bb = -9.73209e-05 +/- 0.0005258 (540.2%) cc = -0.000346562 +/- 0.0002544 (73.42%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.026 1.000 cc -0.538 0.333 1.000 ******************************************************************************* Fri May 16 15:23:41 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.6549415953e+10 0.00e+00 1.19e+04 1.680445e+04 -1.356448e+02 2 5.5752593839e+09 -1.06e-02 1.19e+02 1.841254e+04 -1.367629e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.57526e+09 rel. change during last iteration : -1.05867e-07 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.714 variance of residuals (reduced chisquare) = WSSR/ndf : 203143 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18412.5 +/- 2.76 (0.01499%) b = -136.763 +/- 24.1 (17.62%) correlation matrix of the fit parameters: a b a 1.000 b -0.168 1.000 ******************************************************************************* Fri May 16 15:23:43 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.4953683095e+02 0.00e+00 1.15e-02 1.993921e-02 -9.732093e-05 -3.465622e-04 2 3.4917088108e+02 -7.54e-02 1.15e-04 2.282853e-02 2.478229e-04 -1.517931e-03 After 2 iterations the fit converged. final sum of squares of residuals : 349.171 rel. change during last iteration : -7.53805e-07 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112796 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012723 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0228285 +/- 0.0008786 (3.849%) bb = 0.000247823 +/- 0.0005102 (205.9%) cc = -0.00151793 +/- 0.0002627 (17.31%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.147 1.000 cc -0.616 0.446 1.000 ******************************************************************************* Fri May 16 15:23:45 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.6752717641e+10 0.00e+00 1.30e+04 1.841254e+04 -1.367629e+02 2 5.5775446193e+09 -1.69e-02 1.30e+02 2.002285e+04 -1.353815e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.57754e+09 rel. change during last iteration : -1.69073e-07 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.806 variance of residuals (reduced chisquare) = WSSR/ndf : 203226 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 20022.8 +/- 2.76 (0.01379%) b = -135.382 +/- 24.1 (17.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.168 1.000 ******************************************************************************* Fri May 16 15:23:47 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.5084867475e+02 0.00e+00 1.34e-02 2.282853e-02 2.478229e-04 -1.517931e-03 2 3.4931434082e+02 -7.31e-02 1.34e-04 1.601542e-02 -1.007911e-03 1.768467e-03 After 2 iterations the fit converged. final sum of squares of residuals : 349.314 rel. change during last iteration : -7.30777e-07 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11282 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127283 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0160154 +/- 0.0008869 (5.538%) bb = -0.00100791 +/- 0.0005259 (52.18%) cc = 0.00176847 +/- 0.0003283 (18.56%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.034 1.000 cc -0.635 0.187 1.000 ******************************************************************************* Fri May 16 15:23:50 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.6589009678e+10 0.00e+00 1.42e+04 2.002285e+04 -1.353815e+02 2 5.5770429445e+09 -7.93e-03 1.42e+02 2.163132e+04 -1.344857e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.57704e+09 rel. change during last iteration : -7.93279e-08 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.786 variance of residuals (reduced chisquare) = WSSR/ndf : 203208 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 21631.3 +/- 2.76 (0.01276%) b = -134.486 +/- 24.1 (17.92%) correlation matrix of the fit parameters: a b a 1.000 b -0.168 1.000 ******************************************************************************* Fri May 16 15:23:51 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.4987929749e+02 0.00e+00 9.77e-03 1.601542e-02 -1.007911e-03 1.768467e-03 2 3.4922400255e+02 -1.11e-03 9.77e-05 1.705402e-02 2.979323e-03 1.937709e-03 After 2 iterations the fit converged. final sum of squares of residuals : 349.224 rel. change during last iteration : -1.1134e-08 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112805 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012725 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.017054 +/- 0.0008412 (4.932%) bb = 0.00297932 +/- 0.000594 (19.94%) cc = 0.00193771 +/- 0.0003107 (16.04%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.006 1.000 cc -0.530 0.421 1.000 ******************************************************************************* Fri May 16 15:23:54 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.6710318521e+10 0.00e+00 1.53e+04 2.163132e+04 -1.344857e+02 2 5.5767500745e+09 -5.06e-03 1.53e+02 2.324117e+04 -1.338086e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.57675e+09 rel. change during last iteration : -5.05937e-08 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.774 variance of residuals (reduced chisquare) = WSSR/ndf : 203197 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23241.2 +/- 2.76 (0.01188%) b = -133.809 +/- 24.1 (18.01%) correlation matrix of the fit parameters: a b a 1.000 b -0.168 1.000 ******************************************************************************* Fri May 16 15:23:56 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.5140504161e+02 0.00e+00 1.09e-02 1.705402e-02 2.979323e-03 1.937709e-03 2 3.4965956573e+02 -2.54e-05 1.09e-04 2.116717e-02 2.260885e-04 -8.948763e-04 After 2 iterations the fit converged. final sum of squares of residuals : 349.66 rel. change during last iteration : -2.54449e-10 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112875 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127408 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0211672 +/- 0.000842 (3.978%) bb = 0.000226089 +/- 0.0005018 (221.9%) cc = -0.000894876 +/- 0.0002492 (27.84%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.078 1.000 cc -0.578 0.305 1.000 ******************************************************************************* Fri May 16 15:23:58 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.8970025480e+11 0.00e+00 1.64e+04 2.324117e+04 -1.338086e+02 2 5.5750928290e+09 -5.67e-02 1.64e+02 2.645863e+04 -1.360479e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.57509e+09 rel. change during last iteration : -5.66864e-07 degrees of freedom (FIT_NDF) : 27445 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.707 variance of residuals (reduced chisquare) = WSSR/ndf : 203137 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 26458.6 +/- 2.76 (0.01043%) b = -136.048 +/- 24.1 (17.71%) correlation matrix of the fit parameters: a b a 1.000 b -0.168 1.000 ******************************************************************************* Fri May 16 15:24:00 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27447 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.5015350053e+02 0.00e+00 1.23e-02 2.116717e-02 2.260885e-04 -8.948763e-04 2 3.4915662945e+02 -6.32e-01 1.23e-04 1.713513e-02 3.614065e-03 1.752526e-03 After 2 iterations the fit converged. final sum of squares of residuals : 349.157 rel. change during last iteration : -6.31508e-06 degrees of freedom (FIT_NDF) : 27444 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112794 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127225 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0171351 +/- 0.0008687 (5.07%) bb = 0.00361407 +/- 0.0005593 (15.48%) cc = 0.00175253 +/- 0.0003214 (18.34%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.067 1.000 cc -0.598 0.372 1.000 ******************************************************************************* Fri May 16 15:24:02 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 27411 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.8957986670e+11 0.00e+00 1.87e+04 2.645863e+04 -1.360479e+02 2 5.5732592434e+09 -3.38e-02 1.87e+02 2.967746e+04 -1.344318e+02 After 2 iterations the fit converged. final sum of squares of residuals : 5.57326e+09 rel. change during last iteration : -3.38409e-07 degrees of freedom (FIT_NDF) : 27409 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.929 variance of residuals (reduced chisquare) = WSSR/ndf : 203337 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29677.5 +/- 2.763 (0.009309%) b = -134.432 +/- 24.14 (17.96%) correlation matrix of the fit parameters: a b a 1.000 b -0.168 1.000 ******************************************************************************* Fri May 16 15:24:04 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 27411 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.4991213005e+02 0.00e+00 1.08e-02 1.713513e-02 3.614065e-03 1.752526e-03 2 3.4874050575e+02 -2.35e-05 1.08e-04 2.026563e-02 2.178219e-04 -5.609456e-04 After 2 iterations the fit converged. final sum of squares of residuals : 348.741 rel. change during last iteration : -2.34878e-10 degrees of freedom (FIT_NDF) : 27408 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112801 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012724 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0202656 +/- 0.0008444 (4.167%) bb = 0.000217822 +/- 0.0005219 (239.6%) cc = -0.000560946 +/- 0.0002764 (49.27%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.003 1.000 cc -0.575 0.237 1.000