******************************************************************************* Fri Mar 15 16:23:06 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 37 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 3.0564927181e+12 0.00e+00 4.52e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 2.4900624258e+12 -8.76e-05 4.52e-07 1.506432e+07 -9.943737e+04 -7.084470e+04 5.890469e+06 -2.201463e+08 After 6 iterations the fit converged. final sum of squares of residuals : 2.49006e+12 rel. change during last iteration : -8.75526e-10 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 278952 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78145e+10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.50643e+07 +/- 1.17e+07 (77.67%) b = -99437.4 +/- 8.67e+05 (871.9%) c = -70844.7 +/- 1.034e+05 (145.9%) d = 5.89047e+06 +/- 2.406e+07 (408.4%) e = -2.20146e+08 +/- 2.379e+08 (108.1%) correlation matrix of the fit parameters: a b c d e a 1.000 b 0.064 1.000 c -0.802 -0.033 1.000 d -0.106 -0.930 0.054 1.000 e -0.970 -0.087 0.683 0.145 1.000 ******************************************************************************* Fri Mar 15 16:23:39 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 37 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 3.0564927181e+12 0.00e+00 4.52e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 6 2.4900624258e+12 -8.76e-05 4.52e-07 1.506432e+07 -9.943737e+04 -7.084470e+04 5.890469e+06 -2.201463e+08 After 6 iterations the fit converged. final sum of squares of residuals : 2.49006e+12 rel. change during last iteration : -8.75526e-10 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 278952 variance of residuals (reduced chisquare) = WSSR/ndf : 7.78145e+10 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.50643e+07 +/- 1.17e+07 (77.67%) b = -99437.4 +/- 8.67e+05 (871.9%) c = -70844.7 +/- 1.034e+05 (145.9%) d = 5.89047e+06 +/- 2.406e+07 (408.4%) e = -2.20146e+08 +/- 2.379e+08 (108.1%) correlation matrix of the fit parameters: a b c d e a 1.000 b 0.064 1.000 c -0.802 -0.033 1.000 d -0.106 -0.930 0.054 1.000 e -0.970 -0.087 0.683 0.145 1.000 ******************************************************************************* Fri Mar 15 19:53:46 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 1.1468567795e+02 0.00e+00 4.53e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 5 1.9291875453e-01 -7.02e-01 4.53e-06 -2.429799e+01 3.175929e-01 -2.556407e-02 -6.231229e+00 2.020328e+01 After 5 iterations the fit converged. final sum of squares of residuals : 0.192919 rel. change during last iteration : -7.01927e-06 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0801912 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00643063 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -24.298 +/- 1.886 (7.76%) b = 0.317593 +/- 0.2468 (77.7%) c = -0.0255641 +/- 0.02543 (99.49%) d = -6.23123 +/- 6.235 (100.1%) e = 20.2033 +/- 29.01 (143.6%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.475 1.000 c -0.748 0.224 1.000 d 0.591 -0.923 -0.266 1.000 e -0.924 0.642 0.549 -0.790 1.000 ******************************************************************************* Fri Mar 15 19:53:46 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 66 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 1.5226933027e+02 0.00e+00 4.50e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Mar 15 19:54:52 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 1.1468567795e+02 0.00e+00 4.53e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 5 1.9291875453e-01 -7.02e-01 4.53e-06 -2.429799e+01 3.175929e-01 -2.556407e-02 -6.231229e+00 2.020328e+01 After 5 iterations the fit converged. final sum of squares of residuals : 0.192919 rel. change during last iteration : -7.01927e-06 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0801912 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00643063 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -24.298 +/- 1.886 (7.76%) b = 0.317593 +/- 0.2468 (77.7%) c = -0.0255641 +/- 0.02543 (99.49%) d = -6.23123 +/- 6.235 (100.1%) e = 20.2033 +/- 29.01 (143.6%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.475 1.000 c -0.748 0.224 1.000 d 0.591 -0.923 -0.266 1.000 e -0.924 0.642 0.549 -0.790 1.000 ******************************************************************************* Fri Mar 15 19:54:52 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 66 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 1.5226933027e+02 0.00e+00 4.50e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Mar 15 19:58:58 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4 fitted parameters initialized with current variable values Warning: Initial value of parameter 'b' is zero. Warning: Initial value of parameter 'c' is zero. Warning: Initial value of parameter 'd' is zero. iter chisq delta/lim lambda a b c d e 0 2.8443771820e+01 0.00e+00 7.73e-02 1.000000e+00 1.000000e-30 1.000000e-30 1.000000e-30 1.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Mar 15 19:59:28 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3+e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 2.8942136663e+01 0.00e+00 1.67e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e+00 5 1.9291875453e-01 -3.66e-01 1.67e-07 -2.429799e+01 3.175932e-01 -2.556403e-02 -6.231238e+00 2.020335e+01 After 5 iterations the fit converged. final sum of squares of residuals : 0.192919 rel. change during last iteration : -3.65625e-06 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0801912 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00643063 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -24.298 +/- 1.886 (7.76%) b = 0.317593 +/- 0.2468 (77.7%) c = -0.025564 +/- 0.02543 (99.5%) d = -6.23124 +/- 6.235 (100.1%) e = 20.2034 +/- 29.01 (143.6%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.475 1.000 c -0.748 0.224 1.000 d 0.591 -0.923 -0.266 1.000 e -0.924 0.642 0.549 -0.790 1.000 ******************************************************************************* Fri Mar 15 19:59:28 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 66 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 1.5226933027e+02 0.00e+00 4.50e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Mar 15 20:00:06 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 2.8796050005e+01 0.00e+00 1.67e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 6 1.9291875453e-01 -1.68e-03 1.67e-08 -2.429799e+01 3.175936e-01 -2.556402e-02 -6.231249e+00 2.020339e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.192919 rel. change during last iteration : -1.68089e-08 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0801912 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00643063 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -24.298 +/- 1.886 (7.76%) b = 0.317594 +/- 0.2468 (77.7%) c = -0.025564 +/- 0.02543 (99.5%) d = -6.23125 +/- 6.235 (100.1%) e = 20.2034 +/- 29.01 (143.6%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.475 1.000 c -0.748 0.224 1.000 d 0.591 -0.923 -0.266 1.000 e -0.924 0.642 0.549 -0.790 1.000 ******************************************************************************* Fri Mar 15 20:00:06 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 66 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 1.5226933027e+02 0.00e+00 4.50e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Mar 15 20:00:24 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c+d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 2.8794576679e+01 0.00e+00 1.87e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 5 1.9603665894e-01 -2.12e-02 1.87e-07 -2.308428e+01 2.072574e-01 -3.528309e-02 -2.802632e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.196037 rel. change during last iteration : -2.1159e-07 degrees of freedom (FIT_NDF) : 31 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0795221 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00632376 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.0843 +/- 0.713 (3.089%) b = 0.207257 +/- 0.1876 (90.51%) c = -0.0352831 +/- 0.02109 (59.76%) d = -2.80263 +/- 3.793 (135.3%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.405 1.000 c -0.754 -0.200 1.000 d -0.594 -0.883 0.326 1.000 ******************************************************************************* Fri Mar 15 20:00:25 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 66 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 1.5226933027e+02 0.00e+00 4.50e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Mar 15 20:00:48 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8791785046e+01 0.00e+00 2.16e-02 1.000000e+00 1.000000e-02 1.000000e-02 4 1.9948994994e-01 -1.70e-06 2.16e-06 -2.339740e+01 8.479725e-02 -3.020771e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.19949 rel. change during last iteration : -1.70097e-11 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0789561 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00623406 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.3974 +/- 0.5693 (2.433%) b = 0.0847972 +/- 0.0873 (103%) c = -0.0302077 +/- 0.01979 (65.53%) correlation matrix of the fit parameters: a b c a 1.000 b -0.319 1.000 c -0.737 0.198 1.000 ******************************************************************************* Fri Mar 15 20:00:48 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 66 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 1.5226933027e+02 0.00e+00 4.50e-01 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Mar 15 20:01:30 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8791785046e+01 0.00e+00 2.16e-02 1.000000e+00 1.000000e-02 1.000000e-02 4 1.9948994994e-01 -1.70e-06 2.16e-06 -2.339740e+01 8.479725e-02 -3.020771e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.19949 rel. change during last iteration : -1.70097e-11 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0789561 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00623406 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.3974 +/- 0.5693 (2.433%) b = 0.0847972 +/- 0.0873 (103%) c = -0.0302077 +/- 0.01979 (65.53%) correlation matrix of the fit parameters: a b c a 1.000 b -0.319 1.000 c -0.737 0.198 1.000 ******************************************************************************* Fri Mar 15 20:01:30 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 66 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 4.9089145772e-02 0.00e+00 2.93e-01 -2.500000e+01 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Mar 15 20:01:49 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8791785046e+01 0.00e+00 2.16e-02 1.000000e+00 1.000000e-02 1.000000e-02 4 1.9948994994e-01 -1.70e-06 2.16e-06 -2.339740e+01 8.479725e-02 -3.020771e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.19949 rel. change during last iteration : -1.70097e-11 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0789561 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00623406 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.3974 +/- 0.5693 (2.433%) b = 0.0847972 +/- 0.0873 (103%) c = -0.0302077 +/- 0.01979 (65.53%) correlation matrix of the fit parameters: a b c a 1.000 b -0.319 1.000 c -0.737 0.198 1.000 ******************************************************************************* Fri Mar 15 20:01:49 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 66 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e1*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 4.3662787790e-02 0.00e+00 2.93e-01 -2.500000e+01 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Mar 15 20:02:13 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8791785046e+01 0.00e+00 2.16e-02 1.000000e+00 1.000000e-02 1.000000e-02 4 1.9948994994e-01 -1.70e-06 2.16e-06 -2.339740e+01 8.479725e-02 -3.020771e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.19949 rel. change during last iteration : -1.70097e-11 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0789561 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00623406 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.3974 +/- 0.5693 (2.433%) b = 0.0847972 +/- 0.0873 (103%) c = -0.0302077 +/- 0.01979 (65.53%) correlation matrix of the fit parameters: a b c a 1.000 b -0.319 1.000 c -0.737 0.198 1.000 ******************************************************************************* Fri Mar 15 20:02:13 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 66 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e1*x**4 fitted parameters initialized with current variable values Warning: Initial value of parameter 'd1' is zero. Warning: Initial value of parameter 'e1' is zero. iter chisq delta/lim lambda a1 b1 c1 d1 e1 0 4.3508771587e-02 0.00e+00 2.93e-01 -2.500000e+01 1.000000e-02 1.000000e-02 1.000000e-30 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Mar 15 20:02:34 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8791785046e+01 0.00e+00 2.16e-02 1.000000e+00 1.000000e-02 1.000000e-02 4 1.9948994994e-01 -1.70e-06 2.16e-06 -2.339740e+01 8.479725e-02 -3.020771e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.19949 rel. change during last iteration : -1.70097e-11 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0789561 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00623406 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.3974 +/- 0.5693 (2.433%) b = 0.0847972 +/- 0.0873 (103%) c = -0.0302077 +/- 0.01979 (65.53%) correlation matrix of the fit parameters: a b c a 1.000 b -0.319 1.000 c -0.737 0.198 1.000 ******************************************************************************* Fri Mar 15 20:02:34 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 66 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1+d1*x**3+e1*x**4 fitted parameters initialized with current variable values ******************************************************************************* Fri Mar 15 20:03:02 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8791785046e+01 0.00e+00 2.16e-02 1.000000e+00 1.000000e-02 1.000000e-02 4 1.9948994994e-01 -1.70e-06 2.16e-06 -2.339740e+01 8.479725e-02 -3.020771e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.19949 rel. change during last iteration : -1.70097e-11 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0789561 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00623406 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.3974 +/- 0.5693 (2.433%) b = 0.0847972 +/- 0.0873 (103%) c = -0.0302077 +/- 0.01979 (65.53%) correlation matrix of the fit parameters: a b c a 1.000 b -0.319 1.000 c -0.737 0.198 1.000 ******************************************************************************* Fri Mar 15 20:03:02 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 66 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 0 4.3508771587e-02 0.00e+00 3.78e-01 -2.500000e+01 1.000000e-02 1.000000e-02 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Mar 15 20:03:31 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8791785046e+01 0.00e+00 2.16e-02 1.000000e+00 1.000000e-02 1.000000e-02 4 1.9948994994e-01 -1.70e-06 2.16e-06 -2.339740e+01 8.479725e-02 -3.020771e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.19949 rel. change during last iteration : -1.70097e-11 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0789561 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00623406 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.3974 +/- 0.5693 (2.433%) b = 0.0847972 +/- 0.0873 (103%) c = -0.0302077 +/- 0.01979 (65.53%) correlation matrix of the fit parameters: a b c a 1.000 b -0.319 1.000 c -0.737 0.198 1.000 ******************************************************************************* Fri Mar 15 20:03:31 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 66 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1 fitted parameters initialized with current variable values Warning: Initial value of parameter 'b1' is zero. Warning: Initial value of parameter 'c1' is zero. iter chisq delta/lim lambda a1 b1 c1 0 2.2976008327e-02 0.00e+00 5.52e-01 -2.500000e+01 1.000000e-30 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Fri Mar 15 20:05:35 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 35 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8791785046e+01 0.00e+00 2.16e-02 1.000000e+00 1.000000e-02 1.000000e-02 4 1.9948994994e-01 -1.70e-06 2.16e-06 -2.339740e+01 8.479725e-02 -3.020771e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.19949 rel. change during last iteration : -1.70097e-11 degrees of freedom (FIT_NDF) : 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0789561 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00623406 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -23.3974 +/- 0.5693 (2.433%) b = 0.0847972 +/- 0.0873 (103%) c = -0.0302077 +/- 0.01979 (65.53%) correlation matrix of the fit parameters: a b c a 1.000 b -0.319 1.000 c -0.737 0.198 1.000 ******************************************************************************* Fri Mar 15 20:05:35 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 66 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a1*x**2+b1*x+c1 fitted parameters initialized with current variable values Warning: Initial value of parameter 'b1' is zero. Warning: Initial value of parameter 'c1' is zero. iter chisq delta/lim lambda a1 b1 c1 0 2.2976008327e-02 0.00e+00 5.52e-01 -2.500000e+01 1.000000e-30 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Mon Mar 18 10:15:31 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 40 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 5.0355168845e+01 0.00e+00 2.04e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 6 1.9295655966e-01 -8.13e-02 2.04e-08 4.799492e+00 3.065104e-01 -1.018762e+00 -6.054128e+00 -9.422168e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.192957 rel. change during last iteration : -8.13039e-07 degrees of freedom (FIT_NDF) : 35 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0742499 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00551304 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 4.79949 +/- 1.581 (32.94%) b = 0.30651 +/- 0.2267 (73.97%) c = -1.01876 +/- 0.02289 (2.247%) d = -6.05413 +/- 5.593 (92.38%) e = -94.2217 +/- 24.44 (25.94%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.486 1.000 c -0.737 0.208 1.000 d 0.574 -0.928 -0.228 1.000 e -0.912 0.676 0.515 -0.813 1.000 ******************************************************************************* Mon Mar 18 10:15:31 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 71 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 1.1905456612e-05 0.00e+00 1.36e+00 2.279070e+02 4.753540e-01 3322 3.9844745847e-06 -9.42e-01 1.36e-03 3.959253e+02 3.605360e-01 After 3322 iterations the fit converged. final sum of squares of residuals : 3.98447e-06 rel. change during last iteration : -9.42243e-06 degrees of freedom (FIT_NDF) : 69 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000240304 variance of residuals (reduced chisquare) = WSSR/ndf : 5.7746e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 395.925 +/- 47.85 (12.09%) b3 = 0.360536 +/- 0.02179 (6.045%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 10:16:04 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 40 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 5.0355168845e+01 0.00e+00 2.04e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 6 1.9295655966e-01 -8.13e-02 2.04e-08 4.799492e+00 3.065104e-01 -1.018762e+00 -6.054128e+00 -9.422168e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.192957 rel. change during last iteration : -8.13039e-07 degrees of freedom (FIT_NDF) : 35 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0742499 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00551304 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 4.79949 +/- 1.581 (32.94%) b = 0.30651 +/- 0.2267 (73.97%) c = -1.01876 +/- 0.02289 (2.247%) d = -6.05413 +/- 5.593 (92.38%) e = -94.2217 +/- 24.44 (25.94%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.486 1.000 c -0.737 0.208 1.000 d 0.574 -0.928 -0.228 1.000 e -0.912 0.676 0.515 -0.813 1.000 ******************************************************************************* Mon Mar 18 10:16:04 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 71 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 1.1905456612e-05 0.00e+00 1.36e+00 2.279070e+02 4.753540e-01 3322 3.9844745847e-06 -9.42e-01 1.36e-03 3.959253e+02 3.605360e-01 After 3322 iterations the fit converged. final sum of squares of residuals : 3.98447e-06 rel. change during last iteration : -9.42243e-06 degrees of freedom (FIT_NDF) : 69 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000240304 variance of residuals (reduced chisquare) = WSSR/ndf : 5.7746e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 395.925 +/- 47.85 (12.09%) b3 = 0.360536 +/- 0.02179 (6.045%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 10:20:18 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 40 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 5.0355168845e+01 0.00e+00 2.04e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 6 1.9295655966e-01 -8.13e-02 2.04e-08 4.799492e+00 3.065104e-01 -1.018762e+00 -6.054128e+00 -9.422168e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.192957 rel. change during last iteration : -8.13039e-07 degrees of freedom (FIT_NDF) : 35 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0742499 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00551304 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 4.79949 +/- 1.581 (32.94%) b = 0.30651 +/- 0.2267 (73.97%) c = -1.01876 +/- 0.02289 (2.247%) d = -6.05413 +/- 5.593 (92.38%) e = -94.2217 +/- 24.44 (25.94%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.486 1.000 c -0.737 0.208 1.000 d 0.574 -0.928 -0.228 1.000 e -0.912 0.676 0.515 -0.813 1.000 ******************************************************************************* Mon Mar 18 10:20:18 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 71 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 1.1905456612e-05 0.00e+00 1.36e+00 2.279070e+02 4.753540e-01 3322 3.9844745847e-06 -9.42e-01 1.36e-03 3.959253e+02 3.605360e-01 After 3322 iterations the fit converged. final sum of squares of residuals : 3.98447e-06 rel. change during last iteration : -9.42243e-06 degrees of freedom (FIT_NDF) : 69 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000240304 variance of residuals (reduced chisquare) = WSSR/ndf : 5.7746e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 395.925 +/- 47.85 (12.09%) b3 = 0.360536 +/- 0.02179 (6.045%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 10:26:03 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 40 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 5.0355168845e+01 0.00e+00 2.04e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 6 1.9295655966e-01 -8.13e-02 2.04e-08 4.799492e+00 3.065104e-01 -1.018762e+00 -6.054128e+00 -9.422168e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.192957 rel. change during last iteration : -8.13039e-07 degrees of freedom (FIT_NDF) : 35 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0742499 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00551304 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 4.79949 +/- 1.581 (32.94%) b = 0.30651 +/- 0.2267 (73.97%) c = -1.01876 +/- 0.02289 (2.247%) d = -6.05413 +/- 5.593 (92.38%) e = -94.2217 +/- 24.44 (25.94%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.486 1.000 c -0.737 0.208 1.000 d 0.574 -0.928 -0.228 1.000 e -0.912 0.676 0.515 -0.813 1.000 ******************************************************************************* Mon Mar 18 10:26:03 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 71 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 1.1905456612e-05 0.00e+00 1.36e+00 2.279070e+02 4.753540e-01 3322 3.9844745847e-06 -9.42e-01 1.36e-03 3.959253e+02 3.605360e-01 After 3322 iterations the fit converged. final sum of squares of residuals : 3.98447e-06 rel. change during last iteration : -9.42243e-06 degrees of freedom (FIT_NDF) : 69 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000240304 variance of residuals (reduced chisquare) = WSSR/ndf : 5.7746e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 395.925 +/- 47.85 (12.09%) b3 = 0.360536 +/- 0.02179 (6.045%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 10:32:43 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($4 == 0 && $9 > 1.e5 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 40 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 5.0355168845e+01 0.00e+00 2.04e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 6 1.9295655966e-01 -8.13e-02 2.04e-08 4.799492e+00 3.065104e-01 -1.018762e+00 -6.054128e+00 -9.422168e+01 After 6 iterations the fit converged. final sum of squares of residuals : 0.192957 rel. change during last iteration : -8.13039e-07 degrees of freedom (FIT_NDF) : 35 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0742499 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00551304 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 4.79949 +/- 1.581 (32.94%) b = 0.30651 +/- 0.2267 (73.97%) c = -1.01876 +/- 0.02289 (2.247%) d = -6.05413 +/- 5.593 (92.38%) e = -94.2217 +/- 24.44 (25.94%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.486 1.000 c -0.737 0.208 1.000 d 0.574 -0.928 -0.228 1.000 e -0.912 0.676 0.515 -0.813 1.000 ******************************************************************************* Mon Mar 18 10:32:43 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 71 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 1.1905456612e-05 0.00e+00 1.36e+00 2.279070e+02 4.753540e-01 3322 3.9844745847e-06 -9.42e-01 1.36e-03 3.959253e+02 3.605360e-01 After 3322 iterations the fit converged. final sum of squares of residuals : 3.98447e-06 rel. change during last iteration : -9.42243e-06 degrees of freedom (FIT_NDF) : 69 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000240304 variance of residuals (reduced chisquare) = WSSR/ndf : 5.7746e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 395.925 +/- 47.85 (12.09%) b3 = 0.360536 +/- 0.02179 (6.045%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Mar 18 10:40:52 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 10:40:52 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 72 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.7462044664e-05 0.00e+00 1.99e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 1.99e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a = 0.000581804 ******************************************************************************* Mon Mar 18 10:59:04 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 10:59:12 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 72 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.7462044664e-05 0.00e+00 1.99e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 1.99e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a = 0.000581804 ******************************************************************************* Mon Mar 18 11:00:16 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 11:01:32 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 72 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.7462044664e-05 0.00e+00 1.99e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 1.99e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a = 0.000581804 ******************************************************************************* Mon Mar 18 11:01:36 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-40.0000 : 40.0000] #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 11:02:03 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z x range restricted to [-40.0000 : 40.0000] #datapoints = 72 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 2.7462044664e-05 0.00e+00 1.99e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 1.99e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Mar 18 11:02:23 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-40.0000 : 40.0000] #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 11:02:26 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z x range restricted to [-40.0000 : 40.0000] #datapoints = 72 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 2.7462044664e-05 0.00e+00 1.99e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 1.99e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Mar 18 11:03:02 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-40.0000 : 40.0000] #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 11:03:50 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-40.0000 : 40.0000] #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 11:04:07 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-40.0000 : 40.0000] #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 11:04:18 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z x range restricted to [-40.0000 : 40.0000] #datapoints = 72 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 2.7462044664e-05 0.00e+00 1.99e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 1.99e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Mar 18 11:06:13 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-40.0000 : 40.0000] #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 11:06:31 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-40.0000 : 40.0000] #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 11:06:42 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z x range restricted to [-40.0000 : 40.0000] #datapoints = 72 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 2.7462044664e-05 0.00e+00 1.99e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 1.99e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Mar 18 11:11:17 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-40.0000 : 40.0000] #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 11:11:22 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z x range restricted to [-40.0000 : 40.0000] #datapoints = 72 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 2.7462044664e-05 0.00e+00 1.99e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 1.99e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Mar 18 11:12:18 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-40.0000 : 40.0000] #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 11:12:44 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z x range restricted to [-40.0000 : 40.0000] #datapoints = 72 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 2.7462044664e-05 0.00e+00 1.99e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 1.99e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Mar 18 11:12:54 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-40.0000 : 40.0000] #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 11:13:30 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 11:13:37 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 72 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 2.7462044664e-05 0.00e+00 1.99e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 1.99e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Mar 18 11:14:01 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 11:14:04 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 72 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 2.7462044664e-05 0.00e+00 1.99e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 1.99e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Mar 18 11:16:15 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 11:16:19 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 72 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 2.7462044664e-05 0.00e+00 1.99e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 1.99e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Mar 18 11:17:32 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 11:17:34 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 72 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 2.7462044664e-05 0.00e+00 1.99e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 1.99e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Mar 18 14:20:19 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 14:20:20 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 72 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 2.7462044664e-05 0.00e+00 1.99e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 1.99e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Mar 18 14:20:47 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($9 >0.05 && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Mar 18 14:20:49 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 72 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 2.7462044664e-05 0.00e+00 1.99e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 1.99e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Mon Mar 18 14:21:04 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 71 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 8.0794659578e+01 0.00e+00 1.56e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.5647556904e-03 -2.49e-10 1.56e-09 5.526293e+00 -4.277181e-02 -9.981668e-01 3.041981e-01 -1.160235e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00156476 rel. change during last iteration : -2.4944e-15 degrees of freedom (FIT_NDF) : 66 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00486913 variance of residuals (reduced chisquare) = WSSR/ndf : 2.37084e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.52629 +/- 0.07993 (1.446%) b = -0.0427718 +/- 0.01463 (34.2%) c = -0.998167 +/- 0.0007556 (0.0757%) d = 0.304198 +/- 0.3596 (118.2%) e = -116.023 +/- 1.435 (1.237%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.490 1.000 c -0.481 0.106 1.000 d 0.594 -0.926 -0.117 1.000 e -0.910 0.677 0.290 -0.826 1.000 ******************************************************************************* Mon Mar 18 14:21:04 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 71 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 1.1905456612e-05 0.00e+00 1.36e+00 2.279070e+02 4.753540e-01 3322 3.9844745847e-06 -9.42e-01 1.36e-03 3.959253e+02 3.605360e-01 After 3322 iterations the fit converged. final sum of squares of residuals : 3.98447e-06 rel. change during last iteration : -9.42243e-06 degrees of freedom (FIT_NDF) : 69 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000240304 variance of residuals (reduced chisquare) = WSSR/ndf : 5.7746e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 395.925 +/- 47.85 (12.09%) b3 = 0.360536 +/- 0.02179 (6.045%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 15:41:55 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 71 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 8.0794659578e+01 0.00e+00 1.56e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.5647556904e-03 -2.49e-10 1.56e-09 5.526293e+00 -4.277181e-02 -9.981668e-01 3.041981e-01 -1.160235e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00156476 rel. change during last iteration : -2.4944e-15 degrees of freedom (FIT_NDF) : 66 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00486913 variance of residuals (reduced chisquare) = WSSR/ndf : 2.37084e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.52629 +/- 0.07993 (1.446%) b = -0.0427718 +/- 0.01463 (34.2%) c = -0.998167 +/- 0.0007556 (0.0757%) d = 0.304198 +/- 0.3596 (118.2%) e = -116.023 +/- 1.435 (1.237%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.490 1.000 c -0.481 0.106 1.000 d 0.594 -0.926 -0.117 1.000 e -0.910 0.677 0.290 -0.826 1.000 ******************************************************************************* Mon Apr 8 15:41:55 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 71 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 4.8854109431e-02 0.00e+00 1.36e+00 2.279070e+02 4.753540e-01 3276 3.7519537222e-06 -8.19e-01 1.36e-03 3.834877e+02 3.607027e-01 After 3276 iterations the fit converged. final sum of squares of residuals : 3.75195e-06 rel. change during last iteration : -8.18893e-06 degrees of freedom (FIT_NDF) : 69 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000233187 variance of residuals (reduced chisquare) = WSSR/ndf : 5.43761e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 383.488 +/- 46.35 (12.09%) b3 = 0.360703 +/- 0.0218 (6.045%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 15:42:05 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -5. && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 32 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 9.8796365482e+07 0.00e+00 8.78e+02 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 6.5157517501e-05 -3.51e-02 8.78e-05 5.390777e-04 -1.963975e-05 -7.850051e-03 8.841944e-07 After 7 iterations the fit converged. final sum of squares of residuals : 6.51575e-05 rel. change during last iteration : -3.51259e-07 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00152547 variance of residuals (reduced chisquare) = WSSR/ndf : 2.32705e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000539078 +/- 6.886e-07 (0.1277%) b = -1.96397e-05 +/- 3.563e-05 (181.4%) c = -0.00785005 +/- 0.0003267 (4.162%) d = 8.84194e-07 +/- 3.576e-08 (4.044%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.198 1.000 c 0.554 -0.061 1.000 d 0.335 -0.887 0.103 1.000 ******************************************************************************* Mon Apr 8 15:42:05 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 72 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 2.1092167005e-03 0.00e+00 1.99e-01 5.800000e-04 5 2.6417237194e-32 0.00e+00 1.99e-06 5.958137e-04 After 5 iterations the fit converged. final sum of squares of residuals : 2.64172e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000595814