******************************************************************************* Fri Dec 1 09:36:26 2023 FIT: data read from 'junk.dat' u 1:2 format = x:z x range restricted to [-0.0500000 : 0.0500000] #datapoints = 1434790 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 2.6452284299e+06 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 2.7717033808e+05 -1.02e-03 7.07e-03 2.285646e+00 -1.009860e+00 After 2 iterations the fit converged. final sum of squares of residuals : 277170 rel. change during last iteration : -1.01921e-08 degrees of freedom (FIT_NDF) : 1434788 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.439521 variance of residuals (reduced chisquare) = WSSR/ndf : 0.193179 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.28565 +/- 0.0003673 (0.01607%) b = -1.00986 +/- 0.02326 (2.303%) correlation matrix of the fit parameters: a b a 1.000 b -0.042 1.000 ******************************************************************************* Fri Dec 1 09:37:24 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 20007 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.4934904587e+06 0.00e+00 1.62e+00 2.285646e+00 -1.009860e+00 4 4.1677982911e+03 -1.64e-03 1.62e-04 2.163534e+01 -1.202663e+01 After 4 iterations the fit converged. final sum of squares of residuals : 4167.8 rel. change during last iteration : -1.64373e-08 degrees of freedom (FIT_NDF) : 20005 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.45644 variance of residuals (reduced chisquare) = WSSR/ndf : 0.208338 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 21.6353 +/- 0.003265 (0.01509%) b = -12.0266 +/- 2.791 (23.21%) correlation matrix of the fit parameters: a b a 1.000 b -0.152 1.000 ******************************************************************************* Fri Dec 1 09:37:27 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 20007 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.4972906848e+06 0.00e+00 1.53e+01 2.163534e+01 -1.202663e+01 2 4.1782277720e+03 -9.39e-01 1.53e-01 2.282559e+00 -1.124241e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4178.23 rel. change during last iteration : -9.39309e-06 degrees of freedom (FIT_NDF) : 20005 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.457011 variance of residuals (reduced chisquare) = WSSR/ndf : 0.208859 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.28256 +/- 0.00327 (0.1432%) b = -11.2424 +/- 2.797 (24.88%) correlation matrix of the fit parameters: a b a 1.000 b -0.153 1.000 ******************************************************************************* Fri Dec 1 09:37:29 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 20007 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 1.3310569506e+07 0.00e+00 1.61e+00 2.282559e+00 -1.124241e+01 2 4.1681622438e+03 -2.98e-01 1.61e-02 2.807198e+01 -1.202764e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4168.16 rel. change during last iteration : -2.97655e-06 degrees of freedom (FIT_NDF) : 20005 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.45646 variance of residuals (reduced chisquare) = WSSR/ndf : 0.208356 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 28.072 +/- 0.003265 (0.01163%) b = -12.0276 +/- 2.792 (23.21%) correlation matrix of the fit parameters: a b a 1.000 b -0.152 1.000 ******************************************************************************* Fri Dec 1 09:37:31 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 20007 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 2.1143710968e+05 0.00e+00 1.98e+01 2.807198e+01 -1.202764e+01 2 4.1675423161e+03 -7.49e-03 1.98e-01 2.485332e+01 -1.207611e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4167.54 rel. change during last iteration : -7.49009e-08 degrees of freedom (FIT_NDF) : 20005 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.456426 variance of residuals (reduced chisquare) = WSSR/ndf : 0.208325 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 24.8533 +/- 0.003265 (0.01314%) b = -12.0761 +/- 2.791 (23.11%) correlation matrix of the fit parameters: a b a 1.000 b -0.152 1.000 ******************************************************************************* Fri Dec 1 09:37:34 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 20007 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 4.7096791427e+05 0.00e+00 1.76e+01 2.485332e+01 -1.207611e+01 2 4.1857604485e+03 -6.33e-01 1.76e-01 2.968342e+01 -1.144590e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4185.76 rel. change during last iteration : -6.33449e-06 degrees of freedom (FIT_NDF) : 20005 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.457423 variance of residuals (reduced chisquare) = WSSR/ndf : 0.209236 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.6834 +/- 0.003272 (0.01102%) b = -11.4459 +/- 2.798 (24.44%) correlation matrix of the fit parameters: a b a 1.000 b -0.152 1.000 ******************************************************************************* Fri Dec 1 09:37:36 2023 FIT: data read from 'all_MARK_INFLECTOR_DS_phase_space.dat_trimmed' u 9:($15 <10 ? $15:1/0) format = x:z #datapoints = 809542 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 6.0753384909e+08 0.00e+00 2.10e+01 2.968342e+01 -1.144590e+01 3 1.5800511744e+05 -1.20e-07 2.10e-02 2.271929e+00 -9.239342e-01 After 3 iterations the fit converged. final sum of squares of residuals : 158005 rel. change during last iteration : -1.20022e-12 degrees of freedom (FIT_NDF) : 809540 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441791 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195179 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27193 +/- 0.0004951 (0.02179%) b = -0.923934 +/- 0.03178 (3.439%) correlation matrix of the fit parameters: a b a 1.000 b -0.128 1.000