******************************************************************************* Fri Jun 23 11:07:15 2023 FIT: data read from '20230622_190835/phase_space_at_19441_ns.dat' u 9:15 format = x:z #datapoints = 1767 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values ******************************************************************************* Fri Jun 23 11:07:25 2023 FIT: data read from '20230622_190835/phase_space_at_19441_ns.dat' u 9:15 format = x:z #datapoints = 1767 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 1.5264194398e+06 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 8.0813489320e+01 -2.39e-03 7.07e-05 3.039022e+01 2.917040e+00 After 4 iterations the fit converged. final sum of squares of residuals : 80.8135 rel. change during last iteration : -2.39356e-08 degrees of freedom (FIT_NDF) : 1765 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.213978 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0457867 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3902 +/- 0.00514 (0.01691%) b = 2.91704 +/- 4.588 (157.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.139 1.000 ******************************************************************************* Fri Jun 23 11:08:41 2023 FIT: data read from '20230622_190835/phase_space_at_16542_ns.dat' u 9:15 format = x:z #datapoints = 1772 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 3.0931254552e+04 0.00e+00 2.15e+01 3.039022e+01 2.917040e+00 3 8.1008792471e+01 -7.26e-02 2.15e-02 2.621769e+01 2.985139e+00 After 3 iterations the fit converged. final sum of squares of residuals : 81.0088 rel. change during last iteration : -7.2558e-07 degrees of freedom (FIT_NDF) : 1770 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.213934 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0457677 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 26.2177 +/- 0.005133 (0.01958%) b = 2.98514 +/- 4.582 (153.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.140 1.000 ******************************************************************************* Fri Jun 23 11:32:37 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 6:20 format = x:z #datapoints = 15491 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 2.6571714923e+05 0.00e+00 1.85e+01 2.621769e+01 2.985139e+00 5 2.8771844510e+03 -7.12e-06 1.85e-04 3.033881e+01 -7.574236e+00 After 5 iterations the fit converged. final sum of squares of residuals : 2877.18 rel. change during last iteration : -7.11918e-11 degrees of freedom (FIT_NDF) : 15489 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.430995 variance of residuals (reduced chisquare) = WSSR/ndf : 0.185757 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3388 +/- 0.003512 (0.01157%) b = -7.57424 +/- 3.075 (40.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.166 1.000 ******************************************************************************* Fri Jun 23 16:54:19 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 6:20 format = x:z #datapoints = 15491 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 2.8771844510e+03 0.00e+00 2.15e+01 3.033881e+01 -7.574236e+00 1 2.8771844510e+03 0.00e+00 2.15e+00 3.033881e+01 -7.574236e+00 After 1 iterations the fit converged. final sum of squares of residuals : 2877.18 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15489 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.430995 variance of residuals (reduced chisquare) = WSSR/ndf : 0.185757 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3388 +/- 0.003512 (0.01157%) b = -7.57424 +/- 3.075 (40.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.166 1.000 ******************************************************************************* Fri Jun 23 16:55:30 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 6:20 format = x:z #datapoints = 15491 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 2.8771844510e+03 0.00e+00 2.15e+01 3.033881e+01 -7.574236e+00 1 2.8771844510e+03 0.00e+00 2.15e+01 3.033881e+01 -7.574236e+00 After 1 iterations the fit converged. final sum of squares of residuals : 2877.18 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15489 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.430995 variance of residuals (reduced chisquare) = WSSR/ndf : 0.185757 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3388 +/- 0.003512 (0.01157%) b = -7.57424 +/- 3.075 (40.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.166 1.000 ******************************************************************************* Sat Jun 24 07:59:39 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 16:20 format = x:z #datapoints = 32858 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values ******************************************************************************* Sat Jun 24 07:59:52 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 16:20 format = x:z #datapoints = 32858 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 2.8287766721e+07 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 6.2604036945e+03 -1.05e-01 7.07e-03 3.033801e+01 1.000591e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6260.4 rel. change during last iteration : -1.04603e-06 degrees of freedom (FIT_NDF) : 32856 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.43651 variance of residuals (reduced chisquare) = WSSR/ndf : 0.190541 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.338 +/- 17.72 (58.42%) b = 1.00059 +/- 9.117e+05 (9.111e+07%) correlation matrix of the fit parameters: a b a 1.000 b -1.000 1.000 ******************************************************************************* Sat Jun 24 08:00:20 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 16:20 format = x:z #datapoints = 32858 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 6.2604036945e+03 0.00e+00 2.15e+01 3.033801e+01 1.000591e+00 1 6.2604036945e+03 -1.45e-11 2.15e+00 3.033801e+01 1.000591e+00 After 1 iterations the fit converged. final sum of squares of residuals : 6260.4 rel. change during last iteration : -1.45277e-16 degrees of freedom (FIT_NDF) : 32856 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.43651 variance of residuals (reduced chisquare) = WSSR/ndf : 0.190541 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.338 +/- 17.72 (58.42%) b = 1.00059 +/- 9.117e+05 (9.111e+07%) correlation matrix of the fit parameters: a b a 1.000 b -1.000 1.000 ******************************************************************************* Sat Jun 24 08:06:11 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 16:20 format = x:z #datapoints = 15491 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values ******************************************************************************* Sat Jun 24 08:06:22 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 16:20 format = x:z #datapoints = 15491 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 1.3335681602e+07 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 2.8783115097e+03 -4.83e-01 7.07e-03 3.033736e+01 1.000538e+00 After 2 iterations the fit converged. final sum of squares of residuals : 2878.31 rel. change during last iteration : -4.82544e-06 degrees of freedom (FIT_NDF) : 15489 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431079 variance of residuals (reduced chisquare) = WSSR/ndf : 0.185829 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3374 +/- 25.43 (83.81%) b = 1.00054 +/- 1.308e+06 (1.307e+08%) correlation matrix of the fit parameters: a b a 1.000 b -1.000 1.000 ******************************************************************************* Sat Jun 24 10:04:46 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 16:20 format = x:z #datapoints = 15491 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 2.8783115097e+03 0.00e+00 2.15e+01 3.033736e+01 1.000538e+00 1 2.8783115097e+03 0.00e+00 2.15e+00 3.033736e+01 1.000538e+00 After 1 iterations the fit converged. final sum of squares of residuals : 2878.31 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15489 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431079 variance of residuals (reduced chisquare) = WSSR/ndf : 0.185829 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3374 +/- 25.43 (83.81%) b = 1.00054 +/- 1.308e+06 (1.307e+08%) correlation matrix of the fit parameters: a b a 1.000 b -1.000 1.000 ******************************************************************************* Sat Jun 24 10:04:57 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 16:20 format = x:z #datapoints = 15491 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 2.8783115097e+03 0.00e+00 2.15e+01 3.033736e+01 1.000538e+00 1 2.8783115097e+03 0.00e+00 2.15e+00 3.033736e+01 1.000538e+00 After 1 iterations the fit converged. final sum of squares of residuals : 2878.31 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15489 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431079 variance of residuals (reduced chisquare) = WSSR/ndf : 0.185829 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3374 +/- 25.43 (83.81%) b = 1.00054 +/- 1.308e+06 (1.307e+08%) correlation matrix of the fit parameters: a b a 1.000 b -1.000 1.000 ******************************************************************************* Sat Jun 24 10:10:14 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 15:20 format = x:z #datapoints = 15491 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 2.8786305043e+03 0.00e+00 2.15e+01 3.033736e+01 1.000538e+00 1 2.8786299429e+03 -1.95e-02 2.15e+00 3.033719e+01 1.000170e+00 After 1 iterations the fit converged. final sum of squares of residuals : 2878.63 rel. change during last iteration : -1.95027e-07 degrees of freedom (FIT_NDF) : 15489 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431103 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18585 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3372 +/- 0.003511 (0.01157%) b = 1.00017 +/- 3.073 (307.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.164 1.000 ******************************************************************************* Sat Jun 24 10:10:46 2023 FIT: data read from '20230622_185735/Energy_vs_time_spin_0.dat' u 15:20 format = x:z #datapoints = 1945 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 3.5313386470e+02 0.00e+00 2.15e+01 3.033719e+01 1.000170e+00 2 3.5306523553e+02 -1.65e-01 2.15e-01 3.033128e+01 9.921328e-01 After 2 iterations the fit converged. final sum of squares of residuals : 353.065 rel. change during last iteration : -1.65073e-06 degrees of freedom (FIT_NDF) : 1943 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.426276 variance of residuals (reduced chisquare) = WSSR/ndf : 0.181711 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3313 +/- 0.009763 (0.03219%) b = 0.992133 +/- 8.704 (877.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.141 1.000 ******************************************************************************* Sat Jun 24 10:11:55 2023 FIT: data read from '20230622_190148/Energy_vs_time_spin_0.dat' u 15:20 format = x:z #datapoints = 1976 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x BREAK: Need via and either parameter list or file ******************************************************************************* Sat Jun 24 10:12:10 2023 FIT: data read from '20230622_190148/Energy_vs_time_spin_0.dat' u 15:20 format = x:z #datapoints = 1976 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 4.0928762781e+02 0.00e+00 2.14e+01 3.033128e+01 9.921328e-01 2 4.0925572522e+02 -4.90e-02 2.14e-01 3.033528e+01 9.968120e-01 After 2 iterations the fit converged. final sum of squares of residuals : 409.256 rel. change during last iteration : -4.90312e-07 degrees of freedom (FIT_NDF) : 1974 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.455327 variance of residuals (reduced chisquare) = WSSR/ndf : 0.207323 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3353 +/- 0.01042 (0.03434%) b = 0.996812 +/- 9.137 (916.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.182 1.000 ******************************************************************************* Sat Jun 24 10:12:56 2023 FIT: data read from '20230622_190148/Energy_vs_time_spin_0.dat' u 15:20 format = x:z #datapoints = 1976 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 4.0925572522e+02 0.00e+00 2.15e+01 3.033528e+01 9.968120e-01 1 4.0925572320e+02 -4.95e-04 2.15e+00 3.033528e+01 9.968588e-01 After 1 iterations the fit converged. final sum of squares of residuals : 409.256 rel. change during last iteration : -4.94676e-09 degrees of freedom (FIT_NDF) : 1974 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.455327 variance of residuals (reduced chisquare) = WSSR/ndf : 0.207323 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3353 +/- 0.01042 (0.03434%) b = 0.996859 +/- 9.137 (916.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.182 1.000 ******************************************************************************* Sat Jun 24 10:13:20 2023 FIT: data read from '20230622_190220/Energy_vs_time_spin_0.dat' u 15:20 format = x:z #datapoints = 1951 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 3.9269499922e+02 0.00e+00 2.15e+01 3.033528e+01 9.968588e-01 2 3.9254719167e+02 -9.49e-03 2.15e-01 3.032658e+01 9.948340e-01 After 2 iterations the fit converged. final sum of squares of residuals : 392.547 rel. change during last iteration : -9.48622e-08 degrees of freedom (FIT_NDF) : 1949 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.448787 variance of residuals (reduced chisquare) = WSSR/ndf : 0.20141 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3266 +/- 0.0103 (0.03397%) b = 0.994834 +/- 8.923 (896.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sat Jun 24 10:13:32 2023 FIT: data read from '20230622_190220/Energy_vs_time_spin_0.dat' u 15:20 format = x:z #datapoints = 1951 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 3.9256496296e+02 0.00e+00 2.14e+01 3.032658e+01 -7.000000e+00 2 3.9255798770e+02 -6.24e-01 2.14e-01 3.032808e+01 -6.885326e+00 After 2 iterations the fit converged. final sum of squares of residuals : 392.558 rel. change during last iteration : -6.24336e-06 degrees of freedom (FIT_NDF) : 1949 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.448793 variance of residuals (reduced chisquare) = WSSR/ndf : 0.201415 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3281 +/- 0.0103 (0.03397%) b = -6.88533 +/- 8.923 (129.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sat Jun 24 10:13:35 2023 FIT: data read from '20230622_190220/Energy_vs_time_spin_0.dat' u 15:20 format = x:z #datapoints = 1951 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 3.9255798770e+02 0.00e+00 2.14e+01 3.032808e+01 -6.885326e+00 1 3.9255796432e+02 -5.96e-03 2.14e+00 3.032808e+01 -6.884228e+00 After 1 iterations the fit converged. final sum of squares of residuals : 392.558 rel. change during last iteration : -5.95722e-08 degrees of freedom (FIT_NDF) : 1949 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.448793 variance of residuals (reduced chisquare) = WSSR/ndf : 0.201415 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3281 +/- 0.0103 (0.03397%) b = -6.88423 +/- 8.923 (129.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sat Jun 24 10:14:01 2023 FIT: data read from '20230622_190220/Energy_vs_time_spin_0.dat' u 15:20 format = x:z #datapoints = 1951 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 3.9255796432e+02 0.00e+00 2.14e+01 3.032808e+01 -6.884228e+00 1 3.9255794095e+02 -5.95e-03 2.14e+00 3.032808e+01 -6.883131e+00 After 1 iterations the fit converged. final sum of squares of residuals : 392.558 rel. change during last iteration : -5.95222e-08 degrees of freedom (FIT_NDF) : 1949 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.448793 variance of residuals (reduced chisquare) = WSSR/ndf : 0.201415 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3281 +/- 0.0103 (0.03397%) b = -6.88313 +/- 8.923 (129.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sat Jun 24 10:14:10 2023 FIT: data read from '20230622_190220/Energy_vs_time_spin_0.dat' u 15:20 format = x:z #datapoints = 1951 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values Warning: Initial value of parameter 'b' is zero. iter chisq delta/lim lambda a b 0 6.0085390942e+02 0.00e+00 2.12e+01 3.000000e+01 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Sat Jun 24 10:14:15 2023 FIT: data read from '20230622_190220/Energy_vs_time_spin_0.dat' u 15:20 format = x:z #datapoints = 1951 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 3.9253122643e+02 0.00e+00 2.14e+01 3.032677e+01 1.001000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Sat Jun 24 10:14:35 2023 FIT: data read from '20230622_190220/Energy_vs_time_spin_0.dat' u 15:20 format = x:z #datapoints = 1951 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 3.9254735803e+02 0.00e+00 2.14e+01 3.032677e+01 1.000000e+00 1 3.9254728726e+02 -1.80e-02 2.14e+00 3.032658e+01 9.999798e-01 After 1 iterations the fit converged. final sum of squares of residuals : 392.547 rel. change during last iteration : -1.80263e-07 degrees of freedom (FIT_NDF) : 1949 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.448787 variance of residuals (reduced chisquare) = WSSR/ndf : 0.20141 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3266 +/- 0.0103 (0.03397%) b = 0.99998 +/- 8.923 (892.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sat Jun 24 10:14:41 2023 FIT: data read from '20230622_190220/Energy_vs_time_spin_0.dat' u 15:20 format = x:z #datapoints = 1951 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 3.9252050618e+02 0.00e+00 2.14e+01 3.032658e+01 -1.000000e+00 1 3.9252022464e+02 -7.17e-02 2.14e+00 3.032696e+01 -1.000009e+00 After 1 iterations the fit converged. final sum of squares of residuals : 392.52 rel. change during last iteration : -7.17271e-07 degrees of freedom (FIT_NDF) : 1949 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.448771 variance of residuals (reduced chisquare) = WSSR/ndf : 0.201396 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.327 +/- 0.0103 (0.03396%) b = -1.00001 +/- 8.922 (892.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sat Jun 24 10:15:35 2023 FIT: data read from '20230622_190220/Energy_vs_time_spin_0.dat' u 15:20 format = x:z #datapoints = 1951 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 3.9256299840e+02 0.00e+00 2.14e+01 3.032696e+01 -7.000000e+00 1 3.9256043858e+02 -6.52e-01 2.14e+00 3.032810e+01 -6.998834e+00 After 1 iterations the fit converged. final sum of squares of residuals : 392.56 rel. change during last iteration : -6.52083e-06 degrees of freedom (FIT_NDF) : 1949 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.448794 variance of residuals (reduced chisquare) = WSSR/ndf : 0.201416 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3281 +/- 0.0103 (0.03397%) b = -6.99883 +/- 8.923 (127.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sat Jun 24 10:26:45 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 15:20 format = x:z #datapoints = 32858 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 6.2583947573e+03 0.00e+00 2.14e+01 3.032810e+01 -6.998834e+00 4 6.2522653850e+03 -7.33e-03 2.14e-03 3.034053e+01 -1.393242e+01 After 4 iterations the fit converged. final sum of squares of residuals : 6252.27 rel. change during last iteration : -7.32565e-08 degrees of freedom (FIT_NDF) : 32856 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.436226 variance of residuals (reduced chisquare) = WSSR/ndf : 0.190293 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3405 +/- 0.002437 (0.008031%) b = -13.9324 +/- 2.13 (15.29%) correlation matrix of the fit parameters: a b a 1.000 b -0.157 1.000 ******************************************************************************* Sat Jun 24 10:26:58 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 15:20 format = x:z #datapoints = 32858 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 6.2618488316e+03 0.00e+00 2.15e+01 3.034053e+01 1.000000e+00 5 6.2522653850e+03 -4.74e-03 2.15e-04 3.034053e+01 -1.393244e+01 After 5 iterations the fit converged. final sum of squares of residuals : 6252.27 rel. change during last iteration : -4.741e-08 degrees of freedom (FIT_NDF) : 32856 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.436226 variance of residuals (reduced chisquare) = WSSR/ndf : 0.190293 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.3405 +/- 0.002437 (0.008031%) b = -13.9324 +/- 2.13 (15.29%) correlation matrix of the fit parameters: a b a 1.000 b -0.157 1.000