******************************************************************************* Mon Jul 10 09:48:43 2023 FIT: data read from 'all_Energy_spin_time.dat' u 45:50 format = x:z #datapoints = 27371 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 3.3014420453e+06 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 5.5368670015e+03 -3.57e-06 7.07e-05 1.197612e+01 -1.315990e+01 After 4 iterations the fit converged. final sum of squares of residuals : 5536.87 rel. change during last iteration : -3.57098e-11 degrees of freedom (FIT_NDF) : 27369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449783 variance of residuals (reduced chisquare) = WSSR/ndf : 0.202304 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11.9761 +/- 0.002757 (0.02302%) b = -13.1599 +/- 2.41 (18.31%) correlation matrix of the fit parameters: a b a 1.000 b -0.167 1.000 ******************************************************************************* Mon Jul 10 09:49:02 2023 FIT: data read from 'all_Energy_spin_time.dat' u 51:56 format = x:z #datapoints = 27371 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 7.6445212306e+04 0.00e+00 8.47e+00 1.197612e+01 -1.315990e+01 2 5.5365531101e+03 -1.70e-03 8.47e-02 1.358566e+01 -1.311528e+01 After 2 iterations the fit converged. final sum of squares of residuals : 5536.55 rel. change during last iteration : -1.70074e-08 degrees of freedom (FIT_NDF) : 27369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44977 variance of residuals (reduced chisquare) = WSSR/ndf : 0.202293 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.5857 +/- 0.002757 (0.0203%) b = -13.1153 +/- 2.41 (18.38%) correlation matrix of the fit parameters: a b a 1.000 b -0.167 1.000 ******************************************************************************* Mon Jul 10 09:49:28 2023 FIT: data read from 'all_Energy_spin_time.dat' u 51:56 format = x:z #datapoints = 27371 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 5.5365531101e+03 0.00e+00 9.61e+00 1.358566e+01 -1.311528e+01 1 5.5365531100e+03 -1.72e-06 9.61e-01 1.358566e+01 -1.311499e+01 After 1 iterations the fit converged. final sum of squares of residuals : 5536.55 rel. change during last iteration : -1.71928e-11 degrees of freedom (FIT_NDF) : 27369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44977 variance of residuals (reduced chisquare) = WSSR/ndf : 0.202293 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.5857 +/- 0.002757 (0.0203%) b = -13.115 +/- 2.41 (18.38%) correlation matrix of the fit parameters: a b a 1.000 b -0.167 1.000 ******************************************************************************* Mon Jul 10 09:49:50 2023 FIT: data read from 'all_Energy_spin_time.dat' u 3:8 format = x:z #datapoints = 27371 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 3.5218477781e+06 0.00e+00 9.61e+00 1.358566e+01 -1.311499e+01 3 5.4916797377e+03 -3.18e-02 9.61e-03 2.250846e+00 -1.133351e+01 After 3 iterations the fit converged. final sum of squares of residuals : 5491.68 rel. change during last iteration : -3.17576e-07 degrees of freedom (FIT_NDF) : 27369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.447943 variance of residuals (reduced chisquare) = WSSR/ndf : 0.200653 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.25085 +/- 0.002747 (0.1221%) b = -11.3335 +/- 2.402 (21.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.169 1.000 ******************************************************************************* Mon Jul 10 09:50:45 2023 FIT: data read from 'all_Energy_spin_time.dat' u 3:(abs($6)<0.1 ? $8:1/0) format = x:z #datapoints = 12914 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 1.2516516067e+03 0.00e+00 1.59e+00 2.250846e+00 -1.133351e+01 3 1.2508726835e+03 -5.17e-04 1.59e-03 2.257252e+00 -8.282523e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1250.87 rel. change during last iteration : -5.16965e-09 degrees of freedom (FIT_NDF) : 12912 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.31125 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0968768 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.25725 +/- 0.002775 (0.1229%) b = -8.28252 +/- 2.435 (29.39%) correlation matrix of the fit parameters: a b a 1.000 b -0.161 1.000 ******************************************************************************* Mon Jul 10 09:50:52 2023 FIT: data read from 'all_Energy_spin_time.dat' u 3:(abs($6)<0.1 ? $8:1/0) format = x:z #datapoints = 12914 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 1.2508726835e+03 0.00e+00 1.60e+00 2.257252e+00 -8.282523e+00 1 1.2508726835e+03 0.00e+00 1.60e-01 2.257252e+00 -8.282522e+00 After 1 iterations the fit converged. final sum of squares of residuals : 1250.87 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 12912 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.31125 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0968768 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.25725 +/- 0.002775 (0.1229%) b = -8.28252 +/- 2.435 (29.39%) correlation matrix of the fit parameters: a b a 1.000 b -0.161 1.000 ******************************************************************************* Mon Jul 10 09:51:01 2023 FIT: data read from 'all_Energy_spin_time.dat' u 3:(abs($6)<0.01 ? $8:1/0) format = x:z #datapoints = 1445 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 1.6066590983e+02 0.00e+00 1.60e+00 2.257252e+00 -8.282522e+00 3 1.6054376068e+02 -1.97e-01 1.60e-03 2.248016e+00 -5.672412e+00 After 3 iterations the fit converged. final sum of squares of residuals : 160.544 rel. change during last iteration : -1.96971e-06 degrees of freedom (FIT_NDF) : 1443 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.333552 variance of residuals (reduced chisquare) = WSSR/ndf : 0.111257 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.24802 +/- 0.008916 (0.3966%) b = -5.67241 +/- 7.698 (135.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.177 1.000 ******************************************************************************* Mon Jul 10 09:52:43 2023 FIT: data read from 'all_Energy_spin_time.dat' u 51:(abs($54)<0.01 ? $56:1/0) format = x:z #datapoints = 1453 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 1.8670380086e+05 0.00e+00 1.59e+00 2.248016e+00 -5.672412e+00 3 1.4453039109e+02 -1.56e-01 1.59e-03 1.357944e+01 -6.856786e+00 After 3 iterations the fit converged. final sum of squares of residuals : 144.53 rel. change during last iteration : -1.56247e-06 degrees of freedom (FIT_NDF) : 1451 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.315606 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0996074 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.5794 +/- 0.008406 (0.0619%) b = -6.85679 +/- 7.337 (107%) correlation matrix of the fit parameters: a b a 1.000 b -0.173 1.000 ******************************************************************************* Mon Jul 10 09:52:57 2023 FIT: data read from 'all_Energy_spin_time.dat' u 51:(abs($54)<0.5 ? $56:1/0) format = x:z #datapoints = 26321 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 3.8769023579e+03 0.00e+00 9.60e+00 1.357944e+01 -6.856786e+00 4 3.8760652742e+03 -9.36e-05 9.60e-04 1.358115e+01 -1.180191e+01 After 4 iterations the fit converged. final sum of squares of residuals : 3876.07 rel. change during last iteration : -9.36257e-10 degrees of freedom (FIT_NDF) : 26319 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.383761 variance of residuals (reduced chisquare) = WSSR/ndf : 0.147273 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.5811 +/- 0.002399 (0.01766%) b = -11.8019 +/- 2.093 (17.74%) correlation matrix of the fit parameters: a b a 1.000 b -0.167 1.000 ******************************************************************************* Wed Jul 12 11:46:45 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s #datapoints = 70 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 2.8813909828e+06 0.00e+00 1.31e+02 1.000000e+00 1.000000e+00 5 4.6546071658e+03 -6.38e-03 1.31e-03 -9.979284e-02 1.075237e+01 After 5 iterations the fit converged. final sum of squares of residuals : 4654.61 rel. change during last iteration : -6.38255e-08 degrees of freedom (FIT_NDF) : 68 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.27346 variance of residuals (reduced chisquare) = WSSR/ndf : 68.4501 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0997928 +/- 0.005486 (5.498%) b = 10.7524 +/- 3.608 (33.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.222 1.000 ******************************************************************************* Wed Jul 12 11:47:36 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s #datapoints = 70 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 4.6546071658e+03 0.00e+00 1.32e+01 -9.979284e-02 1.075237e+01 1 4.6546071658e+03 -3.91e-11 1.32e+00 -9.979284e-02 1.075237e+01 After 1 iterations the fit converged. final sum of squares of residuals : 4654.61 rel. change during last iteration : -3.90793e-16 degrees of freedom (FIT_NDF) : 68 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.27346 variance of residuals (reduced chisquare) = WSSR/ndf : 68.4501 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0997928 +/- 0.005486 (5.498%) b = 10.7524 +/- 3.608 (33.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.222 1.000 ******************************************************************************* Wed Jul 12 11:47:58 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2 format = x:z #datapoints = 70 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 6.2190438336e-01 0.00e+00 7.23e-02 -9.979284e-02 1.075237e+01 3 2.9305086869e-01 -3.26e-03 7.23e-05 -1.294700e-01 -1.613993e+01 After 3 iterations the fit converged. final sum of squares of residuals : 0.293051 rel. change during last iteration : -3.25684e-08 degrees of freedom (FIT_NDF) : 68 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0656473 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00430957 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.12947 +/- 0.008039 (6.209%) b = -16.1399 +/- 3.883 (24.06%) correlation matrix of the fit parameters: a b a 1.000 b -0.217 1.000 ******************************************************************************* Wed Jul 12 11:48:35 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 format = x:z:s #datapoints = 70 function used for fitting: f(x) f(x) = a+b*x BREAK: Need via and either parameter list or file ******************************************************************************* Wed Jul 12 11:48:47 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s #datapoints = 70 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 1.2050125005e+04 0.00e+00 1.72e+01 -1.294700e-01 -1.613993e+01 3 4.6546071658e+03 -1.20e-02 1.72e-02 -9.979284e-02 1.075237e+01 After 3 iterations the fit converged. final sum of squares of residuals : 4654.61 rel. change during last iteration : -1.19987e-07 degrees of freedom (FIT_NDF) : 68 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.27346 variance of residuals (reduced chisquare) = WSSR/ndf : 68.4501 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0997928 +/- 0.005486 (5.498%) b = 10.7524 +/- 3.608 (33.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.222 1.000 ******************************************************************************* Wed Jul 12 11:49:08 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:4 yerror format = x:z:s Current data point ========================= # = 1 out of 70 x = -0.003 z = -0.064 s = 0 BREAK: Zero error value in data file ******************************************************************************* Wed Jul 12 11:49:28 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s #datapoints = 70 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 2.8637012898e+06 0.00e+00 1.31e+02 1.000000e+00 -1.000000e+01 4 4.6546071658e+03 -2.90e-02 1.31e-02 -9.979284e-02 1.075237e+01 After 4 iterations the fit converged. final sum of squares of residuals : 4654.61 rel. change during last iteration : -2.90441e-07 degrees of freedom (FIT_NDF) : 68 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.27346 variance of residuals (reduced chisquare) = WSSR/ndf : 68.4501 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0997928 +/- 0.005486 (5.498%) b = 10.7524 +/- 3.608 (33.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.222 1.000 ******************************************************************************* Wed Jul 12 11:50:00 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s x range restricted to [-0.00200000 : 0.00200000] #datapoints = 41 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 2.5129461805e+03 0.00e+00 1.51e+01 -9.979284e-02 1.075237e+01 4 9.0643815978e+02 -3.61e-08 1.51e-03 -1.162051e-01 -1.474684e+01 After 4 iterations the fit converged. final sum of squares of residuals : 906.438 rel. change during last iteration : -3.61339e-13 degrees of freedom (FIT_NDF) : 39 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.821 variance of residuals (reduced chisquare) = WSSR/ndf : 23.242 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.116205 +/- 0.003558 (3.062%) b = -14.7468 +/- 3.443 (23.34%) correlation matrix of the fit parameters: a b a 1.000 b 0.116 1.000 ******************************************************************************* Wed Jul 12 11:50:35 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s x range restricted to [-0.00250000 : 0.00250000] #datapoints = 51 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 1.0219707641e+03 0.00e+00 1.62e+01 -1.162051e-01 -1.474684e+01 3 1.0197210159e+03 -6.18e-04 1.62e-02 -1.163836e-01 -1.571200e+01 After 3 iterations the fit converged. final sum of squares of residuals : 1019.72 rel. change during last iteration : -6.18451e-09 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.56187 variance of residuals (reduced chisquare) = WSSR/ndf : 20.8106 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.116384 +/- 0.003293 (2.829%) b = -15.712 +/- 2.937 (18.69%) correlation matrix of the fit parameters: a b a 1.000 b 0.131 1.000 ******************************************************************************* Wed Jul 12 11:51:07 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s x range restricted to [-0.00280000 : 0.00280000] #datapoints = 57 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 9.6508554055e+03 0.00e+00 1.71e+01 -1.163836e-01 -1.571200e+01 3 4.5722460246e+03 -1.53e-02 1.71e-02 -9.979109e-02 1.082176e+01 After 3 iterations the fit converged. final sum of squares of residuals : 4572.25 rel. change during last iteration : -1.52607e-07 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.11766 variance of residuals (reduced chisquare) = WSSR/ndf : 83.1317 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0997911 +/- 0.006053 (6.066%) b = 10.8218 +/- 4.041 (37.34%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Jul 12 13:18:42 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s #datapoints = 36 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 2.4599254025e+03 0.00e+00 1.60e+01 -9.979109e-02 1.082176e+01 4 4.9761440885e+02 -4.20e-08 1.60e-03 -1.213223e-01 -1.201601e+01 After 4 iterations the fit converged. final sum of squares of residuals : 497.614 rel. change during last iteration : -4.20487e-13 degrees of freedom (FIT_NDF) : 34 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.82567 variance of residuals (reduced chisquare) = WSSR/ndf : 14.6357 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.121322 +/- 0.002835 (2.337%) b = -12.016 +/- 2.492 (20.74%) correlation matrix of the fit parameters: a b a 1.000 b 0.058 1.000 ******************************************************************************* Fri Jul 14 10:36:54 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s x range restricted to [-0.0200000 : 0.0200000] #datapoints = 21 function used for fitting: f(x) f(x) = coef0+coef1*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.8965216953e+00 0.00e+00 0.00e+00 1.000000e+00 1.000000e+00 BREAK: Singular matrix in Givens() ******************************************************************************* Fri Jul 14 10:37:08 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s x range restricted to [-0.0200000 : 0.0200000] #datapoints = 21 function used for fitting: f(x) f(x) = coef0+coef1*x fitted parameters initialized with current variable values iter chisq delta/lim lambda coef0 coef1 0 4.8965216953e+00 0.00e+00 1.97e+02 2.146600e+00 -4.079500e-01 5 4.0428277498e+00 -4.22e-04 1.97e-03 2.148145e+00 -4.201893e-01 After 5 iterations the fit converged. final sum of squares of residuals : 4.04283 rel. change during last iteration : -4.22475e-09 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.461281 variance of residuals (reduced chisquare) = WSSR/ndf : 0.21278 p-value of the Chisq distribution (FIT_P) : 0.999885 Final set of parameters Asymptotic Standard Error ======================= ========================== coef0 = 2.14814 +/- 0.0007739 (0.03603%) coef1 = -0.420189 +/- 0.06623 (15.76%) correlation matrix of the fit parameters: coef0 coef1 coef0 1.000 coef1 -0.011 1.000 ******************************************************************************* Fri Jul 14 10:37:47 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s x range restricted to [-0.0100000 : 0.0100000] #datapoints = 11 function used for fitting: f(x) f(x) = coef0+coef1*x fitted parameters initialized with current variable values iter chisq delta/lim lambda coef0 coef1 0 2.6694792509e+00 0.00e+00 2.04e+02 2.148145e+00 -4.201893e-01 6 1.8789479748e+00 -8.71e-07 2.04e-04 2.149609e+00 -2.026715e-01 After 6 iterations the fit converged. final sum of squares of residuals : 1.87895 rel. change during last iteration : -8.70808e-12 degrees of freedom (FIT_NDF) : 9 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.456916 variance of residuals (reduced chisquare) = WSSR/ndf : 0.208772 p-value of the Chisq distribution (FIT_P) : 0.99324 Final set of parameters Asymptotic Standard Error ======================= ========================== coef0 = 2.14961 +/- 0.001027 (0.04779%) coef1 = -0.202671 +/- 0.164 (80.91%) correlation matrix of the fit parameters: coef0 coef1 coef0 1.000 coef1 0.001 1.000 ******************************************************************************* Fri Jul 14 10:38:07 2023 FIT: data read from 'bin_average_rms_6.dat' u 1:2:3 yerror format = x:z:s x range restricted to [-0.00500000 : 0.00500000] #datapoints = 5 function used for fitting: f(x) f(x) = coef0+coef1*x fitted parameters initialized with current variable values iter chisq delta/lim lambda coef0 coef1 0 6.2527762409e-01 0.00e+00 2.06e+02 2.149609e+00 -2.026715e-01 7 1.7796228806e-01 -6.46e-08 2.06e-05 2.151590e+00 -5.496967e-01 After 7 iterations the fit converged. final sum of squares of residuals : 0.177962 rel. change during last iteration : -6.46156e-13 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.243559 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0593208 p-value of the Chisq distribution (FIT_P) : 0.981066 Final set of parameters Asymptotic Standard Error ======================= ========================== coef0 = 2.15159 +/- 0.0008047 (0.0374%) coef1 = -0.549697 +/- 0.2851 (51.87%) correlation matrix of the fit parameters: coef0 coef1 coef0 1.000 coef1 -0.000 1.000 ******************************************************************************* Fri Jul 14 10:53:03 2023 FIT: data read from 'DistStartInjLine_phase_space.dat_trimmed' u 9:15 format = x:z #datapoints = 2097914 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = coef0+coef1*x fitted parameters initialized with current variable values iter chisq delta/lim lambda coef0 coef1 0 5.0084248756e+05 0.00e+00 1.52e+00 2.151590e+00 -5.496967e-01 2 4.6748655908e+05 -4.46e-03 1.52e-02 2.277893e+00 -9.872805e-01 After 2 iterations the fit converged. final sum of squares of residuals : 467487 rel. change during last iteration : -4.46265e-08 degrees of freedom (FIT_NDF) : 2097912 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.472053 variance of residuals (reduced chisquare) = WSSR/ndf : 0.222834 Final set of parameters Asymptotic Standard Error ======================= ========================== coef0 = 2.27789 +/- 0.0003265 (0.01433%) coef1 = -0.987281 +/- 0.02064 (2.09%) correlation matrix of the fit parameters: coef0 coef1 coef0 1.000 coef1 -0.058 1.000 ******************************************************************************* Fri Jul 14 10:57:29 2023 FIT: data read from 'MARK_INFLECTOR_DS_phase_space.dat_trimmed' u 9:15 format = x:z #datapoints = 1366014 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = coef0+coef1*x fitted parameters initialized with current variable values iter chisq delta/lim lambda coef0 coef1 0 3.0704668625e+05 0.00e+00 1.61e+00 2.277893e+00 -9.872805e-01 2 3.0595037691e+05 -1.40e-05 1.61e-02 2.306142e+00 -9.424173e-01 After 2 iterations the fit converged. final sum of squares of residuals : 305950 rel. change during last iteration : -1.39502e-10 degrees of freedom (FIT_NDF) : 1366012 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.473258 variance of residuals (reduced chisquare) = WSSR/ndf : 0.223973 Final set of parameters Asymptotic Standard Error ======================= ========================== coef0 = 2.30614 +/- 0.0004071 (0.01765%) coef1 = -0.942417 +/- 0.02611 (2.77%) correlation matrix of the fit parameters: coef0 coef1 coef0 1.000 coef1 -0.103 1.000 ******************************************************************************* Fri Jul 14 11:25:31 2023 FIT: data read from 'DistStartInjLine_phase_space.dat_trimmed' u 9:15 format = x:z #datapoints = 834200 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = coef0+coef1*x fitted parameters initialized with current variable values iter chisq delta/lim lambda coef0 coef1 0 1.8921811566e+05 0.00e+00 1.63e+00 2.306142e+00 -9.424173e-01 2 1.8865958853e+05 -8.63e-03 1.63e-02 2.280302e+00 -1.189461e+00 After 2 iterations the fit converged. final sum of squares of residuals : 188660 rel. change during last iteration : -8.62978e-08 degrees of freedom (FIT_NDF) : 834198 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.47556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.226157 Final set of parameters Asymptotic Standard Error ======================= ========================== coef0 = 2.2803 +/- 0.0005207 (0.02283%) coef1 = -1.18946 +/- 0.09103 (7.653%) correlation matrix of the fit parameters: coef0 coef1 coef0 1.000 coef1 0.003 1.000 ******************************************************************************* Fri Jul 14 11:32:33 2023 FIT: data read from 'MARK_INFLECTOR_DS_phase_space.dat_trimmed' u 9:15 format = x:z #datapoints = 556934 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = coef0+coef1*x fitted parameters initialized with current variable values iter chisq delta/lim lambda coef0 coef1 0 1.2799986287e+05 0.00e+00 1.61e+00 2.280302e+00 -1.189461e+00 2 1.2761511141e+05 -1.16e-02 1.61e-02 2.306523e+00 -1.500884e+00 After 2 iterations the fit converged. final sum of squares of residuals : 127615 rel. change during last iteration : -1.16124e-07 degrees of freedom (FIT_NDF) : 556932 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.478685 variance of residuals (reduced chisquare) = WSSR/ndf : 0.229139 Final set of parameters Asymptotic Standard Error ======================= ========================== coef0 = 2.30652 +/- 0.0006414 (0.02781%) coef1 = -1.50088 +/- 0.1121 (7.467%) correlation matrix of the fit parameters: coef0 coef1 coef0 1.000 coef1 0.001 1.000 ******************************************************************************* Tue Aug 29 11:16:57 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 17:16 format = x:z #datapoints = 27397 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 2.7386412418e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.4807842853e-02 -3.74e-05 7.07e-04 1.938793e-04 1.000365e+00 After 3 iterations the fit converged. final sum of squares of residuals : 0.0348078 rel. change during last iteration : -3.74266e-10 degrees of freedom (FIT_NDF) : 27395 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011272 variance of residuals (reduced chisquare) = WSSR/ndf : 1.27059e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000193879 +/- 1.561e-05 (8.053%) b = 1.00036 +/- 285.8 (2.857e+04%) correlation matrix of the fit parameters: a b a 1.000 b 0.900 1.000 ******************************************************************************* Tue Aug 29 11:17:56 2023 FIT: data read from 'all_Energy_vs_time_spin.dat' u 16:21 format = x:z #datapoints = 27397 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 1.4718878109e+05 0.00e+00 8.21e-04 1.938793e-04 1.000365e+00 3 5.4930259918e+03 -4.97e-11 8.21e-07 2.276748e+00 -1.141210e+01 After 3 iterations the fit converged. final sum of squares of residuals : 5493.03 rel. change during last iteration : -4.96718e-16 degrees of freedom (FIT_NDF) : 27395 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.447786 variance of residuals (reduced chisquare) = WSSR/ndf : 0.200512 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27675 +/- 0.002745 (0.1206%) b = -11.4121 +/- 2.4 (21.03%) correlation matrix of the fit parameters: a b a 1.000 b -0.169 1.000 ******************************************************************************* Fri Sep 8 09:53:25 2023 FIT: data read from 'DistStartInjLine_phase_space.dat_trimmed' u 9:15 format = x:z #datapoints = 834200 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 1.5562614950e+06 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 1.8865958853e+05 -2.24e-02 7.07e-03 2.280302e+00 -1.189481e+00 After 2 iterations the fit converged. final sum of squares of residuals : 188660 rel. change during last iteration : -2.24456e-07 degrees of freedom (FIT_NDF) : 834198 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.47556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.226157 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.2803 +/- 0.0005207 (0.02283%) b = -1.18948 +/- 0.09103 (7.653%) correlation matrix of the fit parameters: a b a 1.000 b 0.003 1.000 ******************************************************************************* Thu Jul 4 14:27:17 2024 FIT: data read from 'all_Energy_vs_time_spin.dat' u 4:6 format = x:z #datapoints = 27397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.6841060901e+00 0.00e+00 5.77e-03 1.000000e-02 1.000000e-02 1.000000e+00 3 3.4753681343e-02 -2.41e-02 5.77e-06 2.316380e-04 -6.170001e-04 -1.458274e+00 After 3 iterations the fit converged. final sum of squares of residuals : 0.0347537 rel. change during last iteration : -2.41038e-07 degrees of freedom (FIT_NDF) : 27394 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00112635 variance of residuals (reduced chisquare) = WSSR/ndf : 1.26866e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000231638 +/- 8.942e-06 (3.86%) b = -0.000617 +/- 0.001339 (217%) c = -1.45827 +/- 0.2243 (15.38%) correlation matrix of the fit parameters: a b c a 1.000 b 0.003 1.000 c -0.648 -0.034 1.000 ******************************************************************************* Thu Jul 4 14:27:21 2024 FIT: data read from 'all_Energy_vs_time_spin.dat' u 4:6 format = x:z #datapoints = 27397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.4753681343e-02 0.00e+00 1.38e-04 2.316380e-04 -6.170001e-04 -1.458274e+00 1 3.4753681343e-02 -4.19e-10 1.38e-05 2.316381e-04 -6.170001e-04 -1.458276e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0347537 rel. change during last iteration : -4.19284e-15 degrees of freedom (FIT_NDF) : 27394 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00112635 variance of residuals (reduced chisquare) = WSSR/ndf : 1.26866e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000231638 +/- 8.942e-06 (3.86%) b = -0.000617 +/- 0.001339 (217%) c = -1.45828 +/- 0.2243 (15.38%) correlation matrix of the fit parameters: a b c a 1.000 b 0.003 1.000 c -0.648 -0.034 1.000 ******************************************************************************* Thu Jul 4 18:38:56 2024 FIT: data read from 'all_Energy_vs_time_spin.dat' u 4:6 format = x:z #datapoints = 27397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.7395352657e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 5 3.4753681343e-02 -2.38e-02 5.77e-06 2.316380e-04 -6.170006e-04 -1.458274e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.0347537 rel. change during last iteration : -2.38324e-07 degrees of freedom (FIT_NDF) : 27394 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00112635 variance of residuals (reduced chisquare) = WSSR/ndf : 1.26866e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000231638 +/- 8.942e-06 (3.86%) b = -0.000617001 +/- 0.001339 (217%) c = -1.45827 +/- 0.2243 (15.38%) correlation matrix of the fit parameters: a b c a 1.000 b 0.003 1.000 c -0.648 -0.034 1.000 ******************************************************************************* Thu Jul 4 18:39:01 2024 FIT: data read from 'all_Energy_vs_time_spin.dat' u 4:6 format = x:z #datapoints = 27397 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.4753681343e-02 0.00e+00 1.38e-04 2.316380e-04 -6.170006e-04 -1.458274e+00 1 3.4753681343e-02 -4.19e-10 1.38e-05 2.316381e-04 -6.170002e-04 -1.458276e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0347537 rel. change during last iteration : -4.19284e-15 degrees of freedom (FIT_NDF) : 27394 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00112635 variance of residuals (reduced chisquare) = WSSR/ndf : 1.26866e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000231638 +/- 8.942e-06 (3.86%) b = -0.000617 +/- 0.001339 (217%) c = -1.45828 +/- 0.2243 (15.38%) correlation matrix of the fit parameters: a b c a 1.000 b 0.003 1.000 c -0.648 -0.034 1.000 ******************************************************************************* Wed Oct 9 13:26:19 2024 FIT: data read from 'fort.109' u 1:2 i 0:0 format = x:z #datapoints = 18 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 4.6923640866e+03 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 9 4.6420089719e-05 -3.88e-07 7.07e-10 2.257362e+00 1.439473e+06 After 9 iterations the fit converged. final sum of squares of residuals : 4.64201e-05 rel. change during last iteration : -3.88153e-12 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00170331 variance of residuals (reduced chisquare) = WSSR/ndf : 2.90126e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.25736 +/- 0.0007036 (0.03117%) b = 1.43947e+06 +/- 67.08 (0.00466%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000