******************************************************************************* Thu Feb 6 14:53:02 2025 FIT: data read from 'all_phase_space_at_22340_ns.dat' u 9:15 format = x:z #datapoints = 13691 residuals are weighted equally (unit weight) function used for fitting: f(x) BREAK: Need via and either parameter list or file ******************************************************************************* Thu Feb 6 14:53:18 2025 FIT: data read from 'all_phase_space_at_22340_ns.dat' u 9:15 format = x:z #datapoints = 13691 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 1.6195140018e+07 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 1.6148168401e+01 -3.31e-04 7.07e-05 3.539364e+01 -1.561102e+00 After 4 iterations the fit converged. final sum of squares of residuals : 16.1482 rel. change during last iteration : -3.30828e-09 degrees of freedom (FIT_NDF) : 13689 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.034346 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00117965 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 35.3936 +/- 0.000295 (0.0008335%) b = -1.5611 +/- 0.2706 (17.33%) correlation matrix of the fit parameters: a b a 1.000 b -0.100 1.000 ******************************************************************************* Thu Feb 6 14:54:44 2025 FIT: data read from 'all_phase_space_at_18986_ns.dat' u 9:15 format = x:z #datapoints = 248 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 5.7785677654e+03 0.00e+00 2.50e+01 3.539364e+01 -1.561102e+00 6 2.7802240858e-01 -1.89e-02 2.50e-05 3.056728e+01 -5.212495e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.278022 rel. change during last iteration : -1.88638e-07 degrees of freedom (FIT_NDF) : 246 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.033618 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00113017 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 30.5673 +/- 0.002157 (0.007057%) b = -5.21249 +/- 1.88 (36.06%) correlation matrix of the fit parameters: a b a 1.000 b -0.144 1.000 ******************************************************************************* Thu Feb 6 14:55:47 2025 FIT: data read from 'all_phase_space_at_16373_ns.dat' u 9:15 format = x:z #datapoints = 13691 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 1.9376124391e+05 0.00e+00 2.16e+01 3.056728e+01 -5.212495e+00 5 1.6196232777e+01 -1.18e-05 2.16e-04 2.680506e+01 -1.546206e+00 After 5 iterations the fit converged. final sum of squares of residuals : 16.1962 rel. change during last iteration : -1.17877e-10 degrees of freedom (FIT_NDF) : 13689 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.034397 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00118316 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 26.8051 +/- 0.0002955 (0.001102%) b = -1.54621 +/- 0.271 (17.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.100 1.000 ******************************************************************************* Thu Feb 6 15:01:49 2025 FIT: data read from 'all_Energy_vs_time_spin.dat_25001' u 16:21 format = x:z #datapoints = 11176 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 6.2442339691e+06 0.00e+00 1.90e+01 2.680506e+01 -1.546206e+00 6 9.4508633788e-05 -1.50e-05 1.90e-05 3.167666e+00 -3.591532e-02 After 6 iterations the fit converged. final sum of squares of residuals : 9.45086e-05 rel. change during last iteration : -1.50418e-10 degrees of freedom (FIT_NDF) : 11174 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.19669e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 8.45791e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 3.16767 +/- 8.75e-07 (2.762e-05%) b = -0.0359153 +/- 0.0008038 (2.238%) correlation matrix of the fit parameters: a b a 1.000 b -0.108 1.000 ******************************************************************************* Thu Feb 6 15:03:14 2025 FIT: data read from 'all_Energy_vs_time_spin.dat' u 16:21 format = x:z #datapoints = 13691 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 1.1509486247e-04 0.00e+00 2.24e+00 3.167666e+00 -3.591532e-02 1 1.1509485123e-04 -9.76e-03 2.24e-01 3.167666e+00 -3.591532e-02 After 1 iterations the fit converged. final sum of squares of residuals : 0.000115095 rel. change during last iteration : -9.762e-08 degrees of freedom (FIT_NDF) : 13689 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.16942e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 8.40783e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 3.16767 +/- 7.877e-07 (2.487e-05%) b = -0.0359153 +/- 0.0007232 (2.014%) correlation matrix of the fit parameters: a b a 1.000 b -0.102 1.000 ******************************************************************************* Fri May 9 16:52:27 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 13691 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 1.3728897324e+11 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 3 1.2584607855e+02 -1.70e-06 7.11e-04 3.167666e+03 -3.617059e-01 After 3 iterations the fit converged. final sum of squares of residuals : 125.846 rel. change during last iteration : -1.70269e-11 degrees of freedom (FIT_NDF) : 13689 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0958813 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00919323 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 3167.67 +/- 0.0008237 (2.6e-05%) b = -0.361706 +/- 0.007562 (2.091%) correlation matrix of the fit parameters: a b a 1.000 b -0.102 1.000 ******************************************************************************* Fri May 9 16:52:28 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 13691 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 5.1000217425e+04 0.00e+00 9.51e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 1.6053846477e+02 -1.12e-01 9.51e-03 1.402079e-02 5.886667e-04 -4.688878e-03 After 2 iterations the fit converged. final sum of squares of residuals : 160.538 rel. change during last iteration : -1.12057e-06 degrees of freedom (FIT_NDF) : 13688 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.108298 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0117284 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0140208 +/- 0.001158 (8.261%) bb = 0.000588667 +/- 0.001174 (199.4%) cc = -0.00468888 +/- 0.001114 (23.76%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.002 1.000 cc -0.600 0.070 1.000 ******************************************************************************* Fri May 9 16:52:29 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 13691 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 1.5917402463e+12 0.00e+00 2.24e+03 3.167666e+03 -3.617059e-01 6 1.6261466381e+07 -4.42e-05 2.24e-03 1.395025e+04 -1.561424e+01 After 6 iterations the fit converged. final sum of squares of residuals : 1.62615e+07 rel. change during last iteration : -4.41728e-10 degrees of freedom (FIT_NDF) : 13689 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 34.4662 variance of residuals (reduced chisquare) = WSSR/ndf : 1187.92 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13950.3 +/- 0.296 (0.002122%) b = -15.6142 +/- 2.715 (17.39%) correlation matrix of the fit parameters: a b a 1.000 b -0.099 1.000 ******************************************************************************* Fri May 9 16:52:31 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 13691 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.6361520923e+02 0.00e+00 1.02e-02 1.402079e-02 5.886667e-04 -4.688878e-03 2 1.6040343395e+02 -1.23e-01 1.02e-04 7.482482e-03 5.779926e-03 4.334840e-03 After 2 iterations the fit converged. final sum of squares of residuals : 160.403 rel. change during last iteration : -1.22748e-06 degrees of freedom (FIT_NDF) : 13688 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.108252 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0117185 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00748248 +/- 0.001144 (15.28%) bb = 0.00577993 +/- 0.0009846 (17.03%) cc = 0.00433484 +/- 0.0005686 (13.12%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.043 1.000 cc -0.489 0.492 1.000 ******************************************************************************* Fri May 9 16:52:32 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 13691 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 1.5738356652e+12 0.00e+00 9.86e+03 1.395025e+04 -1.561424e+01 3 1.6182268611e+07 -5.49e-01 9.86e+00 2.467187e+04 -1.625259e+01 After 3 iterations the fit converged. final sum of squares of residuals : 1.61823e+07 rel. change during last iteration : -5.49317e-06 degrees of freedom (FIT_NDF) : 13689 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 34.3822 variance of residuals (reduced chisquare) = WSSR/ndf : 1182.14 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 24671.9 +/- 0.2953 (0.001197%) b = -16.2526 +/- 2.71 (16.67%) correlation matrix of the fit parameters: a b a 1.000 b -0.100 1.000 ******************************************************************************* Fri May 9 16:52:33 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 13691 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.6119571075e+02 0.00e+00 8.45e-03 7.482482e-03 5.779926e-03 4.334840e-03 2 1.6068887929e+02 -4.87e-06 8.45e-05 8.019383e-03 1.346225e-03 2.255728e-03 After 2 iterations the fit converged. final sum of squares of residuals : 160.689 rel. change during last iteration : -4.8709e-11 degrees of freedom (FIT_NDF) : 13688 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.108349 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0117394 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00801938 +/- 0.001109 (13.83%) bb = 0.00134622 +/- 0.0008248 (61.27%) cc = 0.00225573 +/- 0.0004642 (20.58%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.029 1.000 cc -0.542 0.232 1.000 ******************************************************************************* Fri May 9 16:52:34 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 13691 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 1.5738849157e+12 0.00e+00 1.74e+04 2.467187e+04 -1.625259e+01 3 1.6153591265e+07 -3.72e-01 1.74e+01 3.539364e+04 -1.585116e+01 After 3 iterations the fit converged. final sum of squares of residuals : 1.61536e+07 rel. change during last iteration : -3.72235e-06 degrees of freedom (FIT_NDF) : 13689 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 34.3517 variance of residuals (reduced chisquare) = WSSR/ndf : 1180.04 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 35393.6 +/- 0.2951 (0.0008337%) b = -15.8512 +/- 2.706 (17.07%) correlation matrix of the fit parameters: a b a 1.000 b -0.100 1.000 ******************************************************************************* Fri May 9 16:52:35 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 13691 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.6151906015e+02 0.00e+00 6.46e-03 8.019383e-03 1.346225e-03 2.255728e-03 2 1.6104218394e+02 -3.42e-06 6.46e-05 1.089453e-02 1.388437e-03 8.051430e-05 After 2 iterations the fit converged. final sum of squares of residuals : 161.042 rel. change during last iteration : -3.42238e-11 degrees of freedom (FIT_NDF) : 13688 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.108468 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0117652 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0108945 +/- 0.001204 (11.05%) bb = 0.00138844 +/- 0.0006506 (46.86%) cc = 8.05143e-05 +/- 0.0003661 (454.7%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.070 1.000 cc -0.635 0.201 1.000