******************************************************************************* Thu Dec 7 11:59:37 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 ******************************************************************************* Thu Dec 7 12:00:34 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 10590 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 3.9630969160e+06 0.00e+00 1.62e+00 2.285646e+00 -1.009860e+00 4 2.1355590503e+03 -1.84e-03 1.62e-04 2.162616e+01 -5.219038e+00 After 4 iterations the fit converged. final sum of squares of residuals : 2135.56 rel. change during last iteration : -1.83895e-08 degrees of freedom (FIT_NDF) : 10588 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449106 variance of residuals (reduced chisquare) = WSSR/ndf : 0.201696 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 21.6262 +/- 0.004415 (0.02041%) b = -5.21904 +/- 3.996 (76.57%) correlation matrix of the fit parameters: a b a 1.000 b -0.151 1.000 ******************************************************************************* Thu Dec 7 12:00:36 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 10590 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 3.9691361972e+06 0.00e+00 1.53e+01 2.162616e+01 -5.219038e+00 2 2.1068784186e+03 -7.77e-01 1.53e-01 2.271575e+00 -5.423660e+00 After 2 iterations the fit converged. final sum of squares of residuals : 2106.88 rel. change during last iteration : -7.77052e-06 degrees of freedom (FIT_NDF) : 10588 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198987 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27157 +/- 0.004387 (0.1931%) b = -5.42366 +/- 3.972 (73.24%) correlation matrix of the fit parameters: a b a 1.000 b -0.154 1.000 ******************************************************************************* Thu Dec 7 12:00:37 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 10590 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 7.0465272977e+06 0.00e+00 1.61e+00 2.271575e+00 -5.423660e+00 2 2.1360980167e+03 -7.50e-01 1.61e-02 2.806287e+01 -5.229631e+00 After 2 iterations the fit converged. final sum of squares of residuals : 2136.1 rel. change during last iteration : -7.49604e-06 degrees of freedom (FIT_NDF) : 10588 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449163 variance of residuals (reduced chisquare) = WSSR/ndf : 0.201747 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 28.0629 +/- 0.004415 (0.01573%) b = -5.22963 +/- 3.997 (76.42%) correlation matrix of the fit parameters: a b a 1.000 b -0.151 1.000 ******************************************************************************* Thu Dec 7 12:00:38 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 10590 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 1.1182652087e+05 0.00e+00 1.98e+01 2.806287e+01 -5.229631e+00 2 2.1359892671e+03 -1.15e-02 1.98e-01 2.484450e+01 -5.232277e+00 After 2 iterations the fit converged. final sum of squares of residuals : 2135.99 rel. change during last iteration : -1.15417e-07 degrees of freedom (FIT_NDF) : 10588 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449151 variance of residuals (reduced chisquare) = WSSR/ndf : 0.201737 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 24.8445 +/- 0.004415 (0.01777%) b = -5.23228 +/- 3.996 (76.37%) correlation matrix of the fit parameters: a b a 1.000 b -0.151 1.000 ******************************************************************************* Thu Dec 7 12:00:40 2023 FIT: data read from 'all_Energy_spin_time.dat' u n:m format = x:z #datapoints = 10590 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 2.4882908077e+05 0.00e+00 1.76e+01 2.484450e+01 -5.232277e+00 2 2.1305076709e+03 -3.88e-02 1.76e-01 2.967103e+01 -5.197718e+00 After 2 iterations the fit converged. final sum of squares of residuals : 2130.51 rel. change during last iteration : -3.88386e-07 degrees of freedom (FIT_NDF) : 10588 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.448575 variance of residuals (reduced chisquare) = WSSR/ndf : 0.201219 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.671 +/- 0.00441 (0.01486%) b = -5.19772 +/- 3.992 (76.79%) correlation matrix of the fit parameters: a b a 1.000 b -0.151 1.000 ******************************************************************************* Thu Dec 7 12:00:41 2023 FIT: data read from 'all_MARK_INFLECTOR_DS_phase_space.dat_trimmed' u 9:($15 <10 ? $15:1/0) format = x:z #datapoints = 740911 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.5615004101e+08 0.00e+00 2.10e+01 2.967103e+01 -5.197718e+00 3 1.4452548624e+05 -1.29e-05 2.10e-02 2.271853e+00 -9.171512e-01 After 3 iterations the fit converged. final sum of squares of residuals : 144525 rel. change during last iteration : -1.28719e-10 degrees of freedom (FIT_NDF) : 740909 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441662 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195065 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27185 +/- 0.0005147 (0.02265%) b = -0.917151 +/- 0.03292 (3.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.078 1.000