******************************************************************************* Tue Feb 11 10:22:14 2025 FIT: data read from 'all_phase_space_at_48405_ns.dat' u 9:15 format = x:z #datapoints = 14964 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 7.7379784291e+07 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 1.7891050877e+01 -2.34e-04 7.07e-05 7.291036e+01 -1.558789e+00 After 4 iterations the fit converged. final sum of squares of residuals : 17.8911 rel. change during last iteration : -2.33515e-09 degrees of freedom (FIT_NDF) : 14962 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0345798 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00119577 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.9104 +/- 0.000284 (0.0003895%) b = -1.55879 +/- 0.2598 (16.67%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Tue Feb 11 10:22:30 2025 FIT: data read from 'all_phase_space_at_67034_ns.dat' u 9:15 format = x:z #datapoints = 14964 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 1.0758583446e+07 0.00e+00 5.16e+01 7.291036e+01 -1.558789e+00 3 1.7947867575e+01 -3.01e-02 5.16e-02 9.972385e+01 -1.563626e+00 After 3 iterations the fit converged. final sum of squares of residuals : 17.9479 rel. change during last iteration : -3.01298e-07 degrees of freedom (FIT_NDF) : 14962 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0346347 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00119956 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 99.7239 +/- 0.0002844 (0.0002852%) b = -1.56363 +/- 0.2602 (16.64%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Tue Feb 11 10:29:41 2025 FIT: data read from 'spin_vs_momentum_2.6000E-05.dat' u 3:4 format = x:z #datapoints = 573 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 1.9996236849e+06 0.00e+00 7.05e+01 9.972385e+01 -1.563626e+00 6 7.9855838456e-02 -2.18e-01 7.05e-05 4.065005e+01 -2.651293e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.0798558 rel. change during last iteration : -2.17929e-06 degrees of freedom (FIT_NDF) : 571 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0118259 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000139853 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 40.65 +/- 0.000501 (0.001232%) b = -2.65129 +/- 0.3538 (13.34%) correlation matrix of the fit parameters: a b a 1.000 b -0.166 1.000 ******************************************************************************* Tue Feb 11 10:30:44 2025 FIT: data read from 'spin_vs_momentum_2.6026E-05.dat' u 3:4 format = x:z #datapoints = 574 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 8.8472123637e-01 0.00e+00 2.87e+01 4.065005e+01 -2.651293e+00 2 7.4597111738e-02 -8.33e-01 2.87e-01 4.068762e+01 -2.651350e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0745971 rel. change during last iteration : -8.32705e-06 degrees of freedom (FIT_NDF) : 572 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0114199 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000130415 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 40.6876 +/- 0.0004831 (0.001187%) b = -2.65135 +/- 0.3407 (12.85%) correlation matrix of the fit parameters: a b a 1.000 b -0.163 1.000