******************************************************************************* Sat Feb 15 12:27:55 2025 FIT: data read from 'all_phase_space_at_03711_ns.dat_trimmed_sorted' u 9:15 format = x:z #datapoints = 33345 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 1.4950940735e+06 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 6.3269855554e+03 -1.79e-02 7.07e-04 7.682071e+00 -6.399963e-01 After 3 iterations the fit converged. final sum of squares of residuals : 6326.99 rel. change during last iteration : -1.78951e-07 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189755 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68207 +/- 0.0024 (0.03125%) b = -0.639996 +/- 2.17 (339%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Mon Feb 17 15:30:52 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18149 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 ******************************************************************************* Mon Feb 17 15:31:15 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18149 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 3.2809113803e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.5145799424e+03 -5.07e-01 7.07e-04 2.266760e+00 4.926633e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3514.58 rel. change during last iteration : -5.07264e-06 degrees of freedom (FIT_NDF) : 18147 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.440083 variance of residuals (reduced chisquare) = WSSR/ndf : 0.193673 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26676 +/- 0.005719 (0.2523%) b = 4.92663 +/- 4.962 (100.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:31:34 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18149 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 3.2809113803e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.5145799424e+03 -5.07e-01 7.07e-04 2.266760e+00 4.926633e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3514.58 rel. change during last iteration : -5.07264e-06 degrees of freedom (FIT_NDF) : 18147 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.440083 variance of residuals (reduced chisquare) = WSSR/ndf : 0.193673 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26676 +/- 0.005719 (0.2523%) b = 4.92663 +/- 4.962 (100.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:33 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18149 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 3.2809113803e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.5145799424e+03 -5.07e-01 7.07e-04 2.266760e+00 4.926633e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3514.58 rel. change during last iteration : -5.07264e-06 degrees of freedom (FIT_NDF) : 18147 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.440083 variance of residuals (reduced chisquare) = WSSR/ndf : 0.193673 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26676 +/- 0.005719 (0.2523%) b = 4.92663 +/- 4.962 (100.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:34 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18124 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 5.3417790354e+05 0.00e+00 1.60e+00 2.266760e+00 4.926633e+00 3 3.5412087523e+03 -1.05e-01 1.60e-03 7.683565e+00 -1.286475e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3541.21 rel. change during last iteration : -1.05421e-06 degrees of freedom (FIT_NDF) : 18122 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442051 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195409 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68357 +/- 0.005749 (0.07482%) b = -1.28648 +/- 4.986 (387.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:35 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18127 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 5.2623509974e+05 0.00e+00 5.43e+00 7.683565e+00 -1.286475e+00 2 3.5397431357e+03 -4.20e-02 5.43e-02 1.305346e+01 -1.341521e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3539.74 rel. change during last iteration : -4.19597e-07 degrees of freedom (FIT_NDF) : 18125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441923 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195296 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0535 +/- 0.005746 (0.04402%) b = -1.34152 +/- 4.983 (371.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:36 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18132 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 5.2280260671e+05 0.00e+00 9.23e+00 1.305346e+01 -1.341521e+00 2 3.5393957646e+03 -2.10e-02 9.23e-02 1.840492e+01 -1.360748e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3539.4 rel. change during last iteration : -2.09805e-07 degrees of freedom (FIT_NDF) : 18130 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441841 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195223 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4049 +/- 0.005743 (0.03121%) b = -1.36075 +/- 4.982 (366.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:37 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18141 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 5.2667550221e+05 0.00e+00 1.30e+01 1.840492e+01 -1.360748e+00 2 3.5383486793e+03 -1.13e-02 1.30e-01 2.377495e+01 -1.359985e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.35 rel. change during last iteration : -1.12582e-07 degrees of freedom (FIT_NDF) : 18139 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441666 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195069 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.775 +/- 0.005738 (0.02413%) b = -1.35999 +/- 4.978 (366%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:37 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2289996173e+05 0.00e+00 1.68e+01 2.377495e+01 -1.359985e+00 2 3.5410842877e+03 -1.29e-02 1.68e-01 2.912601e+01 -1.364527e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.08 rel. change during last iteration : -1.29065e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441873 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195252 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.126 +/- 0.005743 (0.01972%) b = -1.36453 +/- 4.98 (365%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:38 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2670260086e+05 0.00e+00 2.06e+01 2.912601e+01 -1.364527e+00 2 3.5378717386e+03 -1.14e-02 2.06e-01 3.449663e+01 -1.363500e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.87 rel. change during last iteration : -1.13671e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441672 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4966 +/- 0.00574 (0.01664%) b = -1.3635 +/- 4.977 (365%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:39 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2289204100e+05 0.00e+00 2.44e+01 3.449663e+01 -1.363500e+00 2 3.5369546077e+03 -1.12e-02 2.44e-01 3.984737e+01 -1.363922e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3536.95 rel. change during last iteration : -1.1188e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441591 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195002 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8474 +/- 0.005738 (0.0144%) b = -1.36392 +/- 4.976 (364.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:40 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2664776517e+05 0.00e+00 2.82e+01 3.984737e+01 -1.363922e+00 2 3.5372521788e+03 -1.13e-02 2.82e-01 4.521756e+01 -1.364330e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.25 rel. change during last iteration : -1.12767e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441622 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19503 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2176 +/- 0.005739 (0.01269%) b = -1.36433 +/- 4.977 (364.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:41 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2302677122e+05 0.00e+00 3.20e+01 4.521756e+01 -1.364330e+00 2 3.5371924714e+03 -1.12e-02 3.20e-01 5.056914e+01 -1.364764e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.19 rel. change during last iteration : -1.12172e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441618 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195026 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5691 +/- 0.005739 (0.01135%) b = -1.36476 +/- 4.977 (364.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:42 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2670744694e+05 0.00e+00 3.58e+01 5.056914e+01 -1.364764e+00 2 3.5407277759e+03 -1.17e-02 3.58e-01 5.593962e+01 -1.365828e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3540.73 rel. change during last iteration : -1.16599e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441838 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9396 +/- 0.005742 (0.01026%) b = -1.36583 +/- 4.98 (364.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:42 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2294606182e+05 0.00e+00 3.96e+01 5.593962e+01 -1.365828e+00 2 3.5379113572e+03 -1.12e-02 3.96e-01 6.129078e+01 -1.366091e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.91 rel. change during last iteration : -1.11874e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441663 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195066 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2908 +/- 0.00574 (0.009365%) b = -1.36609 +/- 4.977 (364.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:43 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2673842945e+05 0.00e+00 4.33e+01 6.129078e+01 -1.366091e+00 2 3.5414057303e+03 -1.16e-02 4.33e-01 6.666127e+01 -1.366952e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.41 rel. change during last iteration : -1.16394e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441869 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195248 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6613 +/- 0.005742 (0.008613%) b = -1.36695 +/- 4.98 (364.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:44 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2297104529e+05 0.00e+00 4.71e+01 6.666127e+01 -1.366952e+00 2 3.5372435813e+03 -1.12e-02 4.71e-01 7.201241e+01 -1.367215e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.24 rel. change during last iteration : -1.12023e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441609 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195018 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0124 +/- 0.005739 (0.007969%) b = -1.36722 +/- 4.976 (364%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:45 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2675949853e+05 0.00e+00 5.09e+01 7.201241e+01 -1.367215e+00 2 3.5413514528e+03 -1.12e-02 5.09e-01 7.738331e+01 -1.367312e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.35 rel. change during last iteration : -1.12341e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44189 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195266 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3833 +/- 0.005743 (0.007422%) b = -1.36731 +/- 4.98 (364.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:46 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2294911914e+05 0.00e+00 5.47e+01 7.738331e+01 -1.367312e+00 2 3.5383504251e+03 -1.12e-02 5.47e-01 8.273448e+01 -1.367008e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.35 rel. change during last iteration : -1.12344e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19509 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7345 +/- 0.00574 (0.006938%) b = -1.36701 +/- 4.978 (364.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:47 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2659234451e+05 0.00e+00 5.85e+01 8.273448e+01 -1.367008e+00 2 3.5382700914e+03 -1.13e-02 5.85e-01 8.810424e+01 -1.367169e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.27 rel. change during last iteration : -1.12572e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441673 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1042 +/- 0.005739 (0.006514%) b = -1.36717 +/- 4.977 (364.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:47 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2328779072e+05 0.00e+00 6.23e+01 8.810424e+01 -1.367169e+00 2 3.5483084630e+03 -1.12e-02 6.23e-01 9.345710e+01 -1.366962e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3548.31 rel. change during last iteration : -1.11773e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442311 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195639 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4571 +/- 0.005748 (0.006151%) b = -1.36696 +/- 4.985 (364.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:48 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2662730096e+05 0.00e+00 6.61e+01 9.345710e+01 -1.366962e+00 2 3.5482177504e+03 -1.12e-02 6.61e-01 9.882699e+01 -1.367044e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3548.22 rel. change during last iteration : -1.12084e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442293 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195623 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.827 +/- 0.005747 (0.005816%) b = -1.36704 +/- 4.984 (364.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:49 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18142 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 5.2306819841e+05 0.00e+00 6.99e+01 9.882699e+01 -1.367044e+00 2 3.5688406319e+03 -1.12e-02 6.99e-01 1.041782e+02 -1.367388e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3568.84 rel. change during last iteration : -1.1227e-07 degrees of freedom (FIT_NDF) : 18140 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.443552 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196739 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.178 +/- 0.005763 (0.005532%) b = -1.36739 +/- 4.998 (365.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:32:50 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18124 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 5.2622549123e+05 0.00e+00 7.37e+01 1.041782e+02 -1.367388e+00 2 3.5449584970e+03 -1.12e-02 7.37e-01 1.095484e+02 -1.367287e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3544.96 rel. change during last iteration : -1.12372e-07 degrees of freedom (FIT_NDF) : 18122 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442285 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195616 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.548 +/- 0.005754 (0.005253%) b = -1.36729 +/- 4.988 (364.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:03 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18149 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 3.2809113803e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.5145799424e+03 -5.07e-01 7.07e-04 2.266760e+00 4.926633e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3514.58 rel. change during last iteration : -5.07264e-06 degrees of freedom (FIT_NDF) : 18147 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.440083 variance of residuals (reduced chisquare) = WSSR/ndf : 0.193673 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26676 +/- 0.005719 (0.2523%) b = 4.92663 +/- 4.962 (100.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:04 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18124 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 5.3417790354e+05 0.00e+00 1.60e+00 2.266760e+00 4.926633e+00 3 3.5412087523e+03 -1.05e-01 1.60e-03 7.683565e+00 -1.286475e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3541.21 rel. change during last iteration : -1.05421e-06 degrees of freedom (FIT_NDF) : 18122 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442051 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195409 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68357 +/- 0.005749 (0.07482%) b = -1.28648 +/- 4.986 (387.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:05 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18127 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 5.2623509974e+05 0.00e+00 5.43e+00 7.683565e+00 -1.286475e+00 2 3.5397431357e+03 -4.20e-02 5.43e-02 1.305346e+01 -1.341521e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3539.74 rel. change during last iteration : -4.19597e-07 degrees of freedom (FIT_NDF) : 18125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441923 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195296 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0535 +/- 0.005746 (0.04402%) b = -1.34152 +/- 4.983 (371.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:06 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18132 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 5.2280260671e+05 0.00e+00 9.23e+00 1.305346e+01 -1.341521e+00 2 3.5393957646e+03 -2.10e-02 9.23e-02 1.840492e+01 -1.360748e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3539.4 rel. change during last iteration : -2.09805e-07 degrees of freedom (FIT_NDF) : 18130 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441841 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195223 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4049 +/- 0.005743 (0.03121%) b = -1.36075 +/- 4.982 (366.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:06 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18141 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 5.2667550221e+05 0.00e+00 1.30e+01 1.840492e+01 -1.360748e+00 2 3.5383486793e+03 -1.13e-02 1.30e-01 2.377495e+01 -1.359985e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.35 rel. change during last iteration : -1.12582e-07 degrees of freedom (FIT_NDF) : 18139 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441666 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195069 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.775 +/- 0.005738 (0.02413%) b = -1.35999 +/- 4.978 (366%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:07 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2289996173e+05 0.00e+00 1.68e+01 2.377495e+01 -1.359985e+00 2 3.5410842877e+03 -1.29e-02 1.68e-01 2.912601e+01 -1.364527e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.08 rel. change during last iteration : -1.29065e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441873 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195252 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.126 +/- 0.005743 (0.01972%) b = -1.36453 +/- 4.98 (365%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:08 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2670260086e+05 0.00e+00 2.06e+01 2.912601e+01 -1.364527e+00 2 3.5378717386e+03 -1.14e-02 2.06e-01 3.449663e+01 -1.363500e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.87 rel. change during last iteration : -1.13671e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441672 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4966 +/- 0.00574 (0.01664%) b = -1.3635 +/- 4.977 (365%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:09 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2289204100e+05 0.00e+00 2.44e+01 3.449663e+01 -1.363500e+00 2 3.5369546077e+03 -1.12e-02 2.44e-01 3.984737e+01 -1.363922e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3536.95 rel. change during last iteration : -1.1188e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441591 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195002 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8474 +/- 0.005738 (0.0144%) b = -1.36392 +/- 4.976 (364.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:10 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2664776517e+05 0.00e+00 2.82e+01 3.984737e+01 -1.363922e+00 2 3.5372521788e+03 -1.13e-02 2.82e-01 4.521756e+01 -1.364330e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.25 rel. change during last iteration : -1.12767e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441622 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19503 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2176 +/- 0.005739 (0.01269%) b = -1.36433 +/- 4.977 (364.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:11 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2302677122e+05 0.00e+00 3.20e+01 4.521756e+01 -1.364330e+00 2 3.5371924714e+03 -1.12e-02 3.20e-01 5.056914e+01 -1.364764e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.19 rel. change during last iteration : -1.12172e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441618 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195026 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5691 +/- 0.005739 (0.01135%) b = -1.36476 +/- 4.977 (364.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:11 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2670744694e+05 0.00e+00 3.58e+01 5.056914e+01 -1.364764e+00 2 3.5407277759e+03 -1.17e-02 3.58e-01 5.593962e+01 -1.365828e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3540.73 rel. change during last iteration : -1.16599e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441838 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9396 +/- 0.005742 (0.01026%) b = -1.36583 +/- 4.98 (364.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:12 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2294606182e+05 0.00e+00 3.96e+01 5.593962e+01 -1.365828e+00 2 3.5379113572e+03 -1.12e-02 3.96e-01 6.129078e+01 -1.366091e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.91 rel. change during last iteration : -1.11874e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441663 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195066 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2908 +/- 0.00574 (0.009365%) b = -1.36609 +/- 4.977 (364.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:13 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2673842945e+05 0.00e+00 4.33e+01 6.129078e+01 -1.366091e+00 2 3.5414057303e+03 -1.16e-02 4.33e-01 6.666127e+01 -1.366952e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.41 rel. change during last iteration : -1.16394e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441869 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195248 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6613 +/- 0.005742 (0.008613%) b = -1.36695 +/- 4.98 (364.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:14 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2297104529e+05 0.00e+00 4.71e+01 6.666127e+01 -1.366952e+00 2 3.5372435813e+03 -1.12e-02 4.71e-01 7.201241e+01 -1.367215e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.24 rel. change during last iteration : -1.12023e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441609 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195018 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0124 +/- 0.005739 (0.007969%) b = -1.36722 +/- 4.976 (364%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:15 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2675949853e+05 0.00e+00 5.09e+01 7.201241e+01 -1.367215e+00 2 3.5413514528e+03 -1.12e-02 5.09e-01 7.738331e+01 -1.367312e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.35 rel. change during last iteration : -1.12341e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44189 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195266 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3833 +/- 0.005743 (0.007422%) b = -1.36731 +/- 4.98 (364.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:15 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2294911914e+05 0.00e+00 5.47e+01 7.738331e+01 -1.367312e+00 2 3.5383504251e+03 -1.12e-02 5.47e-01 8.273448e+01 -1.367008e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.35 rel. change during last iteration : -1.12344e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19509 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7345 +/- 0.00574 (0.006938%) b = -1.36701 +/- 4.978 (364.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:16 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2659234451e+05 0.00e+00 5.85e+01 8.273448e+01 -1.367008e+00 2 3.5382700914e+03 -1.13e-02 5.85e-01 8.810424e+01 -1.367169e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.27 rel. change during last iteration : -1.12572e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441673 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1042 +/- 0.005739 (0.006514%) b = -1.36717 +/- 4.977 (364.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:17 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2328779072e+05 0.00e+00 6.23e+01 8.810424e+01 -1.367169e+00 2 3.5483084630e+03 -1.12e-02 6.23e-01 9.345710e+01 -1.366962e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3548.31 rel. change during last iteration : -1.11773e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442311 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195639 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4571 +/- 0.005748 (0.006151%) b = -1.36696 +/- 4.985 (364.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:18 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2662730096e+05 0.00e+00 6.61e+01 9.345710e+01 -1.366962e+00 2 3.5482177504e+03 -1.12e-02 6.61e-01 9.882699e+01 -1.367044e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3548.22 rel. change during last iteration : -1.12084e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442293 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195623 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.827 +/- 0.005747 (0.005816%) b = -1.36704 +/- 4.984 (364.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:18 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18142 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 5.2306819841e+05 0.00e+00 6.99e+01 9.882699e+01 -1.367044e+00 2 3.5688406319e+03 -1.12e-02 6.99e-01 1.041782e+02 -1.367388e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3568.84 rel. change during last iteration : -1.1227e-07 degrees of freedom (FIT_NDF) : 18140 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.443552 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196739 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.178 +/- 0.005763 (0.005532%) b = -1.36739 +/- 4.998 (365.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:35:19 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18124 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 5.2622549123e+05 0.00e+00 7.37e+01 1.041782e+02 -1.367388e+00 2 3.5449584970e+03 -1.12e-02 7.37e-01 1.095484e+02 -1.367287e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3544.96 rel. change during last iteration : -1.12372e-07 degrees of freedom (FIT_NDF) : 18122 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442285 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195616 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.548 +/- 0.005754 (0.005253%) b = -1.36729 +/- 4.988 (364.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:29 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18149 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 3.2809113803e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.5145799424e+03 -5.07e-01 7.07e-04 2.266760e+00 4.926633e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3514.58 rel. change during last iteration : -5.07264e-06 degrees of freedom (FIT_NDF) : 18147 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.440083 variance of residuals (reduced chisquare) = WSSR/ndf : 0.193673 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26676 +/- 0.005719 (0.2523%) b = 4.92663 +/- 4.962 (100.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:30 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18124 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 5.3417790354e+05 0.00e+00 1.60e+00 2.266760e+00 4.926633e+00 3 3.5412087523e+03 -1.05e-01 1.60e-03 7.683565e+00 -1.286475e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3541.21 rel. change during last iteration : -1.05421e-06 degrees of freedom (FIT_NDF) : 18122 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442051 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195409 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68357 +/- 0.005749 (0.07482%) b = -1.28648 +/- 4.986 (387.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:31 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18127 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 5.2623509974e+05 0.00e+00 5.43e+00 7.683565e+00 -1.286475e+00 2 3.5397431357e+03 -4.20e-02 5.43e-02 1.305346e+01 -1.341521e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3539.74 rel. change during last iteration : -4.19597e-07 degrees of freedom (FIT_NDF) : 18125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441923 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195296 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0535 +/- 0.005746 (0.04402%) b = -1.34152 +/- 4.983 (371.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:32 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18132 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 5.2280260671e+05 0.00e+00 9.23e+00 1.305346e+01 -1.341521e+00 2 3.5393957646e+03 -2.10e-02 9.23e-02 1.840492e+01 -1.360748e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3539.4 rel. change during last iteration : -2.09805e-07 degrees of freedom (FIT_NDF) : 18130 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441841 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195223 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4049 +/- 0.005743 (0.03121%) b = -1.36075 +/- 4.982 (366.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:33 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18141 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 5.2667550221e+05 0.00e+00 1.30e+01 1.840492e+01 -1.360748e+00 2 3.5383486793e+03 -1.13e-02 1.30e-01 2.377495e+01 -1.359985e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.35 rel. change during last iteration : -1.12582e-07 degrees of freedom (FIT_NDF) : 18139 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441666 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195069 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.775 +/- 0.005738 (0.02413%) b = -1.35999 +/- 4.978 (366%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:34 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2289996173e+05 0.00e+00 1.68e+01 2.377495e+01 -1.359985e+00 2 3.5410842877e+03 -1.29e-02 1.68e-01 2.912601e+01 -1.364527e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.08 rel. change during last iteration : -1.29065e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441873 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195252 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.126 +/- 0.005743 (0.01972%) b = -1.36453 +/- 4.98 (365%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:34 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2670260086e+05 0.00e+00 2.06e+01 2.912601e+01 -1.364527e+00 2 3.5378717386e+03 -1.14e-02 2.06e-01 3.449663e+01 -1.363500e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.87 rel. change during last iteration : -1.13671e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441672 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4966 +/- 0.00574 (0.01664%) b = -1.3635 +/- 4.977 (365%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:35 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2289204100e+05 0.00e+00 2.44e+01 3.449663e+01 -1.363500e+00 2 3.5369546077e+03 -1.12e-02 2.44e-01 3.984737e+01 -1.363922e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3536.95 rel. change during last iteration : -1.1188e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441591 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195002 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8474 +/- 0.005738 (0.0144%) b = -1.36392 +/- 4.976 (364.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:36 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2664776517e+05 0.00e+00 2.82e+01 3.984737e+01 -1.363922e+00 2 3.5372521788e+03 -1.13e-02 2.82e-01 4.521756e+01 -1.364330e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.25 rel. change during last iteration : -1.12767e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441622 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19503 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2176 +/- 0.005739 (0.01269%) b = -1.36433 +/- 4.977 (364.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:37 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2302677122e+05 0.00e+00 3.20e+01 4.521756e+01 -1.364330e+00 2 3.5371924714e+03 -1.12e-02 3.20e-01 5.056914e+01 -1.364764e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.19 rel. change during last iteration : -1.12172e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441618 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195026 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5691 +/- 0.005739 (0.01135%) b = -1.36476 +/- 4.977 (364.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:38 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2670744694e+05 0.00e+00 3.58e+01 5.056914e+01 -1.364764e+00 2 3.5407277759e+03 -1.17e-02 3.58e-01 5.593962e+01 -1.365828e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3540.73 rel. change during last iteration : -1.16599e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441838 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9396 +/- 0.005742 (0.01026%) b = -1.36583 +/- 4.98 (364.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:38 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2294606182e+05 0.00e+00 3.96e+01 5.593962e+01 -1.365828e+00 2 3.5379113572e+03 -1.12e-02 3.96e-01 6.129078e+01 -1.366091e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.91 rel. change during last iteration : -1.11874e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441663 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195066 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2908 +/- 0.00574 (0.009365%) b = -1.36609 +/- 4.977 (364.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:39 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2673842945e+05 0.00e+00 4.33e+01 6.129078e+01 -1.366091e+00 2 3.5414057303e+03 -1.16e-02 4.33e-01 6.666127e+01 -1.366952e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.41 rel. change during last iteration : -1.16394e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441869 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195248 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6613 +/- 0.005742 (0.008613%) b = -1.36695 +/- 4.98 (364.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:40 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2297104529e+05 0.00e+00 4.71e+01 6.666127e+01 -1.366952e+00 2 3.5372435813e+03 -1.12e-02 4.71e-01 7.201241e+01 -1.367215e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.24 rel. change during last iteration : -1.12023e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441609 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195018 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0124 +/- 0.005739 (0.007969%) b = -1.36722 +/- 4.976 (364%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:41 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2675949853e+05 0.00e+00 5.09e+01 7.201241e+01 -1.367215e+00 2 3.5413514528e+03 -1.12e-02 5.09e-01 7.738331e+01 -1.367312e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.35 rel. change during last iteration : -1.12341e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44189 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195266 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3833 +/- 0.005743 (0.007422%) b = -1.36731 +/- 4.98 (364.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:42 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2294911914e+05 0.00e+00 5.47e+01 7.738331e+01 -1.367312e+00 2 3.5383504251e+03 -1.12e-02 5.47e-01 8.273448e+01 -1.367008e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.35 rel. change during last iteration : -1.12344e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19509 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7345 +/- 0.00574 (0.006938%) b = -1.36701 +/- 4.978 (364.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:42 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2659234451e+05 0.00e+00 5.85e+01 8.273448e+01 -1.367008e+00 2 3.5382700914e+03 -1.13e-02 5.85e-01 8.810424e+01 -1.367169e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.27 rel. change during last iteration : -1.12572e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441673 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1042 +/- 0.005739 (0.006514%) b = -1.36717 +/- 4.977 (364.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:43 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2328779072e+05 0.00e+00 6.23e+01 8.810424e+01 -1.367169e+00 2 3.5483084630e+03 -1.12e-02 6.23e-01 9.345710e+01 -1.366962e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3548.31 rel. change during last iteration : -1.11773e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442311 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195639 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4571 +/- 0.005748 (0.006151%) b = -1.36696 +/- 4.985 (364.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:44 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2662730096e+05 0.00e+00 6.61e+01 9.345710e+01 -1.366962e+00 2 3.5482177504e+03 -1.12e-02 6.61e-01 9.882699e+01 -1.367044e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3548.22 rel. change during last iteration : -1.12084e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442293 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195623 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.827 +/- 0.005747 (0.005816%) b = -1.36704 +/- 4.984 (364.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:45 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18142 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 5.2306819841e+05 0.00e+00 6.99e+01 9.882699e+01 -1.367044e+00 2 3.5688406319e+03 -1.12e-02 6.99e-01 1.041782e+02 -1.367388e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3568.84 rel. change during last iteration : -1.1227e-07 degrees of freedom (FIT_NDF) : 18140 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.443552 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196739 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.178 +/- 0.005763 (0.005532%) b = -1.36739 +/- 4.998 (365.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 15:36:46 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18124 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 5.2622549123e+05 0.00e+00 7.37e+01 1.041782e+02 -1.367388e+00 2 3.5449584970e+03 -1.12e-02 7.37e-01 1.095484e+02 -1.367287e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3544.96 rel. change during last iteration : -1.12372e-07 degrees of freedom (FIT_NDF) : 18122 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442285 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195616 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.548 +/- 0.005754 (0.005253%) b = -1.36729 +/- 4.988 (364.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:27 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18149 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 3.2809113803e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.5145799424e+03 -5.07e-01 7.07e-04 2.266760e+00 4.926633e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3514.58 rel. change during last iteration : -5.07264e-06 degrees of freedom (FIT_NDF) : 18147 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.440083 variance of residuals (reduced chisquare) = WSSR/ndf : 0.193673 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26676 +/- 0.005719 (0.2523%) b = 4.92663 +/- 4.962 (100.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:28 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18124 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 5.3417790354e+05 0.00e+00 1.60e+00 2.266760e+00 4.926633e+00 3 3.5412087523e+03 -1.05e-01 1.60e-03 7.683565e+00 -1.286475e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3541.21 rel. change during last iteration : -1.05421e-06 degrees of freedom (FIT_NDF) : 18122 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442051 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195409 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68357 +/- 0.005749 (0.07482%) b = -1.28648 +/- 4.986 (387.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:29 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18127 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 5.2623509974e+05 0.00e+00 5.43e+00 7.683565e+00 -1.286475e+00 2 3.5397431357e+03 -4.20e-02 5.43e-02 1.305346e+01 -1.341521e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3539.74 rel. change during last iteration : -4.19597e-07 degrees of freedom (FIT_NDF) : 18125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441923 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195296 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0535 +/- 0.005746 (0.04402%) b = -1.34152 +/- 4.983 (371.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:30 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18132 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 5.2280260671e+05 0.00e+00 9.23e+00 1.305346e+01 -1.341521e+00 2 3.5393957646e+03 -2.10e-02 9.23e-02 1.840492e+01 -1.360748e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3539.4 rel. change during last iteration : -2.09805e-07 degrees of freedom (FIT_NDF) : 18130 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441841 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195223 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4049 +/- 0.005743 (0.03121%) b = -1.36075 +/- 4.982 (366.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:31 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18141 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 5.2667550221e+05 0.00e+00 1.30e+01 1.840492e+01 -1.360748e+00 2 3.5383486793e+03 -1.13e-02 1.30e-01 2.377495e+01 -1.359985e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.35 rel. change during last iteration : -1.12582e-07 degrees of freedom (FIT_NDF) : 18139 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441666 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195069 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.775 +/- 0.005738 (0.02413%) b = -1.35999 +/- 4.978 (366%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:31 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2289996173e+05 0.00e+00 1.68e+01 2.377495e+01 -1.359985e+00 2 3.5410842877e+03 -1.29e-02 1.68e-01 2.912601e+01 -1.364527e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.08 rel. change during last iteration : -1.29065e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441873 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195252 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.126 +/- 0.005743 (0.01972%) b = -1.36453 +/- 4.98 (365%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:32 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2670260086e+05 0.00e+00 2.06e+01 2.912601e+01 -1.364527e+00 2 3.5378717386e+03 -1.14e-02 2.06e-01 3.449663e+01 -1.363500e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.87 rel. change during last iteration : -1.13671e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441672 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4966 +/- 0.00574 (0.01664%) b = -1.3635 +/- 4.977 (365%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:33 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2289204100e+05 0.00e+00 2.44e+01 3.449663e+01 -1.363500e+00 2 3.5369546077e+03 -1.12e-02 2.44e-01 3.984737e+01 -1.363922e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3536.95 rel. change during last iteration : -1.1188e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441591 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195002 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8474 +/- 0.005738 (0.0144%) b = -1.36392 +/- 4.976 (364.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:34 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2664776517e+05 0.00e+00 2.82e+01 3.984737e+01 -1.363922e+00 2 3.5372521788e+03 -1.13e-02 2.82e-01 4.521756e+01 -1.364330e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.25 rel. change during last iteration : -1.12767e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441622 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19503 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2176 +/- 0.005739 (0.01269%) b = -1.36433 +/- 4.977 (364.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:35 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2302677122e+05 0.00e+00 3.20e+01 4.521756e+01 -1.364330e+00 2 3.5371924714e+03 -1.12e-02 3.20e-01 5.056914e+01 -1.364764e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.19 rel. change during last iteration : -1.12172e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441618 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195026 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5691 +/- 0.005739 (0.01135%) b = -1.36476 +/- 4.977 (364.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:35 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2670744694e+05 0.00e+00 3.58e+01 5.056914e+01 -1.364764e+00 2 3.5407277759e+03 -1.17e-02 3.58e-01 5.593962e+01 -1.365828e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3540.73 rel. change during last iteration : -1.16599e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441838 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9396 +/- 0.005742 (0.01026%) b = -1.36583 +/- 4.98 (364.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:36 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2294606182e+05 0.00e+00 3.96e+01 5.593962e+01 -1.365828e+00 2 3.5379113572e+03 -1.12e-02 3.96e-01 6.129078e+01 -1.366091e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.91 rel. change during last iteration : -1.11874e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441663 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195066 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2908 +/- 0.00574 (0.009365%) b = -1.36609 +/- 4.977 (364.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:37 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2673842945e+05 0.00e+00 4.33e+01 6.129078e+01 -1.366091e+00 2 3.5414057303e+03 -1.16e-02 4.33e-01 6.666127e+01 -1.366952e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.41 rel. change during last iteration : -1.16394e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441869 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195248 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6613 +/- 0.005742 (0.008613%) b = -1.36695 +/- 4.98 (364.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:38 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2297104529e+05 0.00e+00 4.71e+01 6.666127e+01 -1.366952e+00 2 3.5372435813e+03 -1.12e-02 4.71e-01 7.201241e+01 -1.367215e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.24 rel. change during last iteration : -1.12023e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441609 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195018 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0124 +/- 0.005739 (0.007969%) b = -1.36722 +/- 4.976 (364%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:39 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2675949853e+05 0.00e+00 5.09e+01 7.201241e+01 -1.367215e+00 2 3.5413514528e+03 -1.12e-02 5.09e-01 7.738331e+01 -1.367312e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.35 rel. change during last iteration : -1.12341e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44189 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195266 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3833 +/- 0.005743 (0.007422%) b = -1.36731 +/- 4.98 (364.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:39 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2294911914e+05 0.00e+00 5.47e+01 7.738331e+01 -1.367312e+00 2 3.5383504251e+03 -1.12e-02 5.47e-01 8.273448e+01 -1.367008e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.35 rel. change during last iteration : -1.12344e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19509 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7345 +/- 0.00574 (0.006938%) b = -1.36701 +/- 4.978 (364.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:40 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2659234451e+05 0.00e+00 5.85e+01 8.273448e+01 -1.367008e+00 2 3.5382700914e+03 -1.13e-02 5.85e-01 8.810424e+01 -1.367169e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.27 rel. change during last iteration : -1.12572e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441673 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1042 +/- 0.005739 (0.006514%) b = -1.36717 +/- 4.977 (364.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:41 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2328779072e+05 0.00e+00 6.23e+01 8.810424e+01 -1.367169e+00 2 3.5483084630e+03 -1.12e-02 6.23e-01 9.345710e+01 -1.366962e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3548.31 rel. change during last iteration : -1.11773e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442311 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195639 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4571 +/- 0.005748 (0.006151%) b = -1.36696 +/- 4.985 (364.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:42 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2662730096e+05 0.00e+00 6.61e+01 9.345710e+01 -1.366962e+00 2 3.5482177504e+03 -1.12e-02 6.61e-01 9.882699e+01 -1.367044e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3548.22 rel. change during last iteration : -1.12084e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442293 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195623 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.827 +/- 0.005747 (0.005816%) b = -1.36704 +/- 4.984 (364.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:43 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18142 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 5.2306819841e+05 0.00e+00 6.99e+01 9.882699e+01 -1.367044e+00 2 3.5688406319e+03 -1.12e-02 6.99e-01 1.041782e+02 -1.367388e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3568.84 rel. change during last iteration : -1.1227e-07 degrees of freedom (FIT_NDF) : 18140 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.443552 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196739 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.178 +/- 0.005763 (0.005532%) b = -1.36739 +/- 4.998 (365.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:57:43 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18124 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 5.2622549123e+05 0.00e+00 7.37e+01 1.041782e+02 -1.367388e+00 2 3.5449584970e+03 -1.12e-02 7.37e-01 1.095484e+02 -1.367287e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3544.96 rel. change during last iteration : -1.12372e-07 degrees of freedom (FIT_NDF) : 18122 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442285 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195616 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.548 +/- 0.005754 (0.005253%) b = -1.36729 +/- 4.988 (364.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:58:41 2025 FIT: data read from 'all_phase_space_at_74483_ns.dat_trimmed_sorted' u 9:15 format = x:z #datapoints = 24473 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values ******************************************************************************* Mon Feb 17 20:58:47 2025 FIT: data read from 'all_phase_space_at_74483_ns.dat_trimmed_sorted' u 9:15 format = x:z #datapoints = 24473 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 2.8832081525e+08 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 4.7967122747e+03 -1.34e-05 7.07e-05 1.095348e+02 9.899888e+00 After 4 iterations the fit converged. final sum of squares of residuals : 4796.71 rel. change during last iteration : -1.33661e-10 degrees of freedom (FIT_NDF) : 24471 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442737 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196016 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.535 +/- 0.003549 (0.00324%) b = 9.89989 +/- 3.496 (35.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.603 1.000 ******************************************************************************* Mon Feb 17 20:59:44 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18149 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 3.2809113803e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.5145799424e+03 -5.07e-01 7.07e-04 2.266760e+00 4.926633e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3514.58 rel. change during last iteration : -5.07264e-06 degrees of freedom (FIT_NDF) : 18147 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.440083 variance of residuals (reduced chisquare) = WSSR/ndf : 0.193673 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26676 +/- 0.005719 (0.2523%) b = 4.92663 +/- 4.962 (100.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:45 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18124 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 5.3417790354e+05 0.00e+00 1.60e+00 2.266760e+00 4.926633e+00 3 3.5412087523e+03 -1.05e-01 1.60e-03 7.683565e+00 -1.286475e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3541.21 rel. change during last iteration : -1.05421e-06 degrees of freedom (FIT_NDF) : 18122 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442051 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195409 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68357 +/- 0.005749 (0.07482%) b = -1.28648 +/- 4.986 (387.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:46 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18127 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 5.2623509974e+05 0.00e+00 5.43e+00 7.683565e+00 -1.286475e+00 2 3.5397431357e+03 -4.20e-02 5.43e-02 1.305346e+01 -1.341521e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3539.74 rel. change during last iteration : -4.19597e-07 degrees of freedom (FIT_NDF) : 18125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441923 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195296 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0535 +/- 0.005746 (0.04402%) b = -1.34152 +/- 4.983 (371.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:47 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18132 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 5.2280260671e+05 0.00e+00 9.23e+00 1.305346e+01 -1.341521e+00 2 3.5393957646e+03 -2.10e-02 9.23e-02 1.840492e+01 -1.360748e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3539.4 rel. change during last iteration : -2.09805e-07 degrees of freedom (FIT_NDF) : 18130 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441841 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195223 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4049 +/- 0.005743 (0.03121%) b = -1.36075 +/- 4.982 (366.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:47 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18141 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 5.2667550221e+05 0.00e+00 1.30e+01 1.840492e+01 -1.360748e+00 2 3.5383486793e+03 -1.13e-02 1.30e-01 2.377495e+01 -1.359985e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.35 rel. change during last iteration : -1.12582e-07 degrees of freedom (FIT_NDF) : 18139 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441666 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195069 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.775 +/- 0.005738 (0.02413%) b = -1.35999 +/- 4.978 (366%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:48 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2289996173e+05 0.00e+00 1.68e+01 2.377495e+01 -1.359985e+00 2 3.5410842877e+03 -1.29e-02 1.68e-01 2.912601e+01 -1.364527e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.08 rel. change during last iteration : -1.29065e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441873 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195252 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.126 +/- 0.005743 (0.01972%) b = -1.36453 +/- 4.98 (365%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:49 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2670260086e+05 0.00e+00 2.06e+01 2.912601e+01 -1.364527e+00 2 3.5378717386e+03 -1.14e-02 2.06e-01 3.449663e+01 -1.363500e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.87 rel. change during last iteration : -1.13671e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441672 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4966 +/- 0.00574 (0.01664%) b = -1.3635 +/- 4.977 (365%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:50 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2289204100e+05 0.00e+00 2.44e+01 3.449663e+01 -1.363500e+00 2 3.5369546077e+03 -1.12e-02 2.44e-01 3.984737e+01 -1.363922e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3536.95 rel. change during last iteration : -1.1188e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441591 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195002 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8474 +/- 0.005738 (0.0144%) b = -1.36392 +/- 4.976 (364.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:51 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2664776517e+05 0.00e+00 2.82e+01 3.984737e+01 -1.363922e+00 2 3.5372521788e+03 -1.13e-02 2.82e-01 4.521756e+01 -1.364330e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.25 rel. change during last iteration : -1.12767e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441622 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19503 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2176 +/- 0.005739 (0.01269%) b = -1.36433 +/- 4.977 (364.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:51 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2302677122e+05 0.00e+00 3.20e+01 4.521756e+01 -1.364330e+00 2 3.5371924714e+03 -1.12e-02 3.20e-01 5.056914e+01 -1.364764e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.19 rel. change during last iteration : -1.12172e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441618 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195026 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5691 +/- 0.005739 (0.01135%) b = -1.36476 +/- 4.977 (364.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:52 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2670744694e+05 0.00e+00 3.58e+01 5.056914e+01 -1.364764e+00 2 3.5407277759e+03 -1.17e-02 3.58e-01 5.593962e+01 -1.365828e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3540.73 rel. change during last iteration : -1.16599e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441838 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9396 +/- 0.005742 (0.01026%) b = -1.36583 +/- 4.98 (364.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:53 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2294606182e+05 0.00e+00 3.96e+01 5.593962e+01 -1.365828e+00 2 3.5379113572e+03 -1.12e-02 3.96e-01 6.129078e+01 -1.366091e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.91 rel. change during last iteration : -1.11874e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441663 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195066 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2908 +/- 0.00574 (0.009365%) b = -1.36609 +/- 4.977 (364.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:54 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2673842945e+05 0.00e+00 4.33e+01 6.129078e+01 -1.366091e+00 2 3.5414057303e+03 -1.16e-02 4.33e-01 6.666127e+01 -1.366952e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.41 rel. change during last iteration : -1.16394e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441869 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195248 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6613 +/- 0.005742 (0.008613%) b = -1.36695 +/- 4.98 (364.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:55 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2297104529e+05 0.00e+00 4.71e+01 6.666127e+01 -1.366952e+00 2 3.5372435813e+03 -1.12e-02 4.71e-01 7.201241e+01 -1.367215e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.24 rel. change during last iteration : -1.12023e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441609 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195018 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0124 +/- 0.005739 (0.007969%) b = -1.36722 +/- 4.976 (364%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:55 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2675949853e+05 0.00e+00 5.09e+01 7.201241e+01 -1.367215e+00 2 3.5413514528e+03 -1.12e-02 5.09e-01 7.738331e+01 -1.367312e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.35 rel. change during last iteration : -1.12341e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44189 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195266 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3833 +/- 0.005743 (0.007422%) b = -1.36731 +/- 4.98 (364.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:56 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2294911914e+05 0.00e+00 5.47e+01 7.738331e+01 -1.367312e+00 2 3.5383504251e+03 -1.12e-02 5.47e-01 8.273448e+01 -1.367008e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.35 rel. change during last iteration : -1.12344e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19509 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7345 +/- 0.00574 (0.006938%) b = -1.36701 +/- 4.978 (364.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:57 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2659234451e+05 0.00e+00 5.85e+01 8.273448e+01 -1.367008e+00 2 3.5382700914e+03 -1.13e-02 5.85e-01 8.810424e+01 -1.367169e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.27 rel. change during last iteration : -1.12572e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441673 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1042 +/- 0.005739 (0.006514%) b = -1.36717 +/- 4.977 (364.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:58 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2328779072e+05 0.00e+00 6.23e+01 8.810424e+01 -1.367169e+00 2 3.5483084630e+03 -1.12e-02 6.23e-01 9.345710e+01 -1.366962e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3548.31 rel. change during last iteration : -1.11773e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442311 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195639 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4571 +/- 0.005748 (0.006151%) b = -1.36696 +/- 4.985 (364.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:59 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2662730096e+05 0.00e+00 6.61e+01 9.345710e+01 -1.366962e+00 2 3.5482177504e+03 -1.12e-02 6.61e-01 9.882699e+01 -1.367044e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3548.22 rel. change during last iteration : -1.12084e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442293 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195623 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.827 +/- 0.005747 (0.005816%) b = -1.36704 +/- 4.984 (364.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 20:59:59 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18142 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 5.2306819841e+05 0.00e+00 6.99e+01 9.882699e+01 -1.367044e+00 2 3.5688406319e+03 -1.12e-02 6.99e-01 1.041782e+02 -1.367388e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3568.84 rel. change during last iteration : -1.1227e-07 degrees of freedom (FIT_NDF) : 18140 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.443552 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196739 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.178 +/- 0.005763 (0.005532%) b = -1.36739 +/- 4.998 (365.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:00 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18124 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 5.2622549123e+05 0.00e+00 7.37e+01 1.041782e+02 -1.367388e+00 2 3.5449584970e+03 -1.12e-02 7.37e-01 1.095484e+02 -1.367287e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3544.96 rel. change during last iteration : -1.12372e-07 degrees of freedom (FIT_NDF) : 18122 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442285 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195616 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.548 +/- 0.005754 (0.005253%) b = -1.36729 +/- 4.988 (364.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:15 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18149 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 3.2809113803e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.5145799424e+03 -5.07e-01 7.07e-04 2.266760e+00 4.926633e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3514.58 rel. change during last iteration : -5.07264e-06 degrees of freedom (FIT_NDF) : 18147 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.440083 variance of residuals (reduced chisquare) = WSSR/ndf : 0.193673 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26676 +/- 0.005719 (0.2523%) b = 4.92663 +/- 4.962 (100.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:16 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18124 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 5.3417790354e+05 0.00e+00 1.60e+00 2.266760e+00 4.926633e+00 3 3.5412087523e+03 -1.05e-01 1.60e-03 7.683565e+00 -1.286475e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3541.21 rel. change during last iteration : -1.05421e-06 degrees of freedom (FIT_NDF) : 18122 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442051 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195409 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68357 +/- 0.005749 (0.07482%) b = -1.28648 +/- 4.986 (387.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:17 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18127 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 5.2623509974e+05 0.00e+00 5.43e+00 7.683565e+00 -1.286475e+00 2 3.5397431357e+03 -4.20e-02 5.43e-02 1.305346e+01 -1.341521e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3539.74 rel. change during last iteration : -4.19597e-07 degrees of freedom (FIT_NDF) : 18125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441923 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195296 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0535 +/- 0.005746 (0.04402%) b = -1.34152 +/- 4.983 (371.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:18 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18132 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 5.2280260671e+05 0.00e+00 9.23e+00 1.305346e+01 -1.341521e+00 2 3.5393957646e+03 -2.10e-02 9.23e-02 1.840492e+01 -1.360748e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3539.4 rel. change during last iteration : -2.09805e-07 degrees of freedom (FIT_NDF) : 18130 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441841 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195223 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4049 +/- 0.005743 (0.03121%) b = -1.36075 +/- 4.982 (366.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:19 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18141 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 5.2667550221e+05 0.00e+00 1.30e+01 1.840492e+01 -1.360748e+00 2 3.5383486793e+03 -1.13e-02 1.30e-01 2.377495e+01 -1.359985e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.35 rel. change during last iteration : -1.12582e-07 degrees of freedom (FIT_NDF) : 18139 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441666 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195069 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.775 +/- 0.005738 (0.02413%) b = -1.35999 +/- 4.978 (366%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:19 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2289996173e+05 0.00e+00 1.68e+01 2.377495e+01 -1.359985e+00 2 3.5410842877e+03 -1.29e-02 1.68e-01 2.912601e+01 -1.364527e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.08 rel. change during last iteration : -1.29065e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441873 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195252 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.126 +/- 0.005743 (0.01972%) b = -1.36453 +/- 4.98 (365%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:20 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2670260086e+05 0.00e+00 2.06e+01 2.912601e+01 -1.364527e+00 2 3.5378717386e+03 -1.14e-02 2.06e-01 3.449663e+01 -1.363500e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.87 rel. change during last iteration : -1.13671e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441672 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4966 +/- 0.00574 (0.01664%) b = -1.3635 +/- 4.977 (365%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:21 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2289204100e+05 0.00e+00 2.44e+01 3.449663e+01 -1.363500e+00 2 3.5369546077e+03 -1.12e-02 2.44e-01 3.984737e+01 -1.363922e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3536.95 rel. change during last iteration : -1.1188e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441591 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195002 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8474 +/- 0.005738 (0.0144%) b = -1.36392 +/- 4.976 (364.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:22 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2664776517e+05 0.00e+00 2.82e+01 3.984737e+01 -1.363922e+00 2 3.5372521788e+03 -1.13e-02 2.82e-01 4.521756e+01 -1.364330e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.25 rel. change during last iteration : -1.12767e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441622 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19503 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2176 +/- 0.005739 (0.01269%) b = -1.36433 +/- 4.977 (364.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:23 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2302677122e+05 0.00e+00 3.20e+01 4.521756e+01 -1.364330e+00 2 3.5371924714e+03 -1.12e-02 3.20e-01 5.056914e+01 -1.364764e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.19 rel. change during last iteration : -1.12172e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441618 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195026 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5691 +/- 0.005739 (0.01135%) b = -1.36476 +/- 4.977 (364.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:23 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2670744694e+05 0.00e+00 3.58e+01 5.056914e+01 -1.364764e+00 2 3.5407277759e+03 -1.17e-02 3.58e-01 5.593962e+01 -1.365828e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3540.73 rel. change during last iteration : -1.16599e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441838 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9396 +/- 0.005742 (0.01026%) b = -1.36583 +/- 4.98 (364.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:24 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2294606182e+05 0.00e+00 3.96e+01 5.593962e+01 -1.365828e+00 2 3.5379113572e+03 -1.12e-02 3.96e-01 6.129078e+01 -1.366091e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.91 rel. change during last iteration : -1.11874e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441663 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195066 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2908 +/- 0.00574 (0.009365%) b = -1.36609 +/- 4.977 (364.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:25 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2673842945e+05 0.00e+00 4.33e+01 6.129078e+01 -1.366091e+00 2 3.5414057303e+03 -1.16e-02 4.33e-01 6.666127e+01 -1.366952e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.41 rel. change during last iteration : -1.16394e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441869 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195248 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6613 +/- 0.005742 (0.008613%) b = -1.36695 +/- 4.98 (364.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:26 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2297104529e+05 0.00e+00 4.71e+01 6.666127e+01 -1.366952e+00 2 3.5372435813e+03 -1.12e-02 4.71e-01 7.201241e+01 -1.367215e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.24 rel. change during last iteration : -1.12023e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441609 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195018 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0124 +/- 0.005739 (0.007969%) b = -1.36722 +/- 4.976 (364%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:26 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2675949853e+05 0.00e+00 5.09e+01 7.201241e+01 -1.367215e+00 2 3.5413514528e+03 -1.12e-02 5.09e-01 7.738331e+01 -1.367312e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.35 rel. change during last iteration : -1.12341e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44189 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195266 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3833 +/- 0.005743 (0.007422%) b = -1.36731 +/- 4.98 (364.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:27 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2294911914e+05 0.00e+00 5.47e+01 7.738331e+01 -1.367312e+00 2 3.5383504251e+03 -1.12e-02 5.47e-01 8.273448e+01 -1.367008e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.35 rel. change during last iteration : -1.12344e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19509 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7345 +/- 0.00574 (0.006938%) b = -1.36701 +/- 4.978 (364.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:28 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2659234451e+05 0.00e+00 5.85e+01 8.273448e+01 -1.367008e+00 2 3.5382700914e+03 -1.13e-02 5.85e-01 8.810424e+01 -1.367169e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.27 rel. change during last iteration : -1.12572e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441673 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1042 +/- 0.005739 (0.006514%) b = -1.36717 +/- 4.977 (364.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:29 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2328779072e+05 0.00e+00 6.23e+01 8.810424e+01 -1.367169e+00 2 3.5483084630e+03 -1.12e-02 6.23e-01 9.345710e+01 -1.366962e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3548.31 rel. change during last iteration : -1.11773e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442311 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195639 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4571 +/- 0.005748 (0.006151%) b = -1.36696 +/- 4.985 (364.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:30 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2662730096e+05 0.00e+00 6.61e+01 9.345710e+01 -1.366962e+00 2 3.5482177504e+03 -1.12e-02 6.61e-01 9.882699e+01 -1.367044e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3548.22 rel. change during last iteration : -1.12084e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442293 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195623 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.827 +/- 0.005747 (0.005816%) b = -1.36704 +/- 4.984 (364.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:30 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18142 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 5.2306819841e+05 0.00e+00 6.99e+01 9.882699e+01 -1.367044e+00 2 3.5688406319e+03 -1.12e-02 6.99e-01 1.041782e+02 -1.367388e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3568.84 rel. change during last iteration : -1.1227e-07 degrees of freedom (FIT_NDF) : 18140 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.443552 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196739 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.178 +/- 0.005763 (0.005532%) b = -1.36739 +/- 4.998 (365.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:00:31 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18124 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 5.2622549123e+05 0.00e+00 7.37e+01 1.041782e+02 -1.367388e+00 2 3.5449584970e+03 -1.12e-02 7.37e-01 1.095484e+02 -1.367287e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3544.96 rel. change during last iteration : -1.12372e-07 degrees of freedom (FIT_NDF) : 18122 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442285 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195616 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.548 +/- 0.005754 (0.005253%) b = -1.36729 +/- 4.988 (364.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:01:29 2025 FIT: data read from 'all_MARK_INFLECTOR_DS_phase_space.dat_trimmed_sorted' u 9:15 format = x:z #datapoints = 33345 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 9.9999980077e+13 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 9.9994710562e+13 -2.35e-02 7.07e-04 3.315758e+02 -2.362202e+05 After 3 iterations the fit converged. final sum of squares of residuals : 9.99947e+13 rel. change during last iteration : -2.35098e-07 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 54762.9 variance of residuals (reduced chisquare) = WSSR/ndf : 2.99897e+09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 331.576 +/- 301.8 (91.02%) b = -236220 +/- 2.73e+05 (115.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.113 1.000 ******************************************************************************* Mon Feb 17 21:02:39 2025 FIT: data read from 'all_MARK_INFLECTOR_DS_phase_space.dat_trimmed_sorted' u 9:(abs($15)<10 ?$15:1/0) format = x:z #datapoints = 33344 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 5.2432124041e+09 0.00e+00 2.98e+02 3.315758e+02 -2.362202e+05 3 6.2491492466e+03 -2.91e-11 2.98e-01 2.270422e+00 9.508955e-01 After 3 iterations the fit converged. final sum of squares of residuals : 6249.15 rel. change during last iteration : -2.91078e-16 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.432927 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27042 +/- 0.002386 (0.1051%) b = 0.950895 +/- 2.159 (227%) correlation matrix of the fit parameters: a b a 1.000 b -0.113 1.000 ******************************************************************************* Mon Feb 17 21:04:11 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18149 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 3.2809113803e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.5145799424e+03 -5.07e-01 7.07e-04 2.266760e+00 4.926633e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3514.58 rel. change during last iteration : -5.07264e-06 degrees of freedom (FIT_NDF) : 18147 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.440083 variance of residuals (reduced chisquare) = WSSR/ndf : 0.193673 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26676 +/- 0.005719 (0.2523%) b = 4.92663 +/- 4.962 (100.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:12 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18124 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 5.3417790354e+05 0.00e+00 1.60e+00 2.266760e+00 4.926633e+00 3 3.5412087523e+03 -1.05e-01 1.60e-03 7.683565e+00 -1.286475e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3541.21 rel. change during last iteration : -1.05421e-06 degrees of freedom (FIT_NDF) : 18122 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442051 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195409 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68357 +/- 0.005749 (0.07482%) b = -1.28648 +/- 4.986 (387.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:12 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18127 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 5.2623509974e+05 0.00e+00 5.43e+00 7.683565e+00 -1.286475e+00 2 3.5397431357e+03 -4.20e-02 5.43e-02 1.305346e+01 -1.341521e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3539.74 rel. change during last iteration : -4.19597e-07 degrees of freedom (FIT_NDF) : 18125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441923 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195296 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0535 +/- 0.005746 (0.04402%) b = -1.34152 +/- 4.983 (371.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:13 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18132 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 5.2280260671e+05 0.00e+00 9.23e+00 1.305346e+01 -1.341521e+00 2 3.5393957646e+03 -2.10e-02 9.23e-02 1.840492e+01 -1.360748e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3539.4 rel. change during last iteration : -2.09805e-07 degrees of freedom (FIT_NDF) : 18130 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441841 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195223 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4049 +/- 0.005743 (0.03121%) b = -1.36075 +/- 4.982 (366.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:14 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18141 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 5.2667550221e+05 0.00e+00 1.30e+01 1.840492e+01 -1.360748e+00 2 3.5383486793e+03 -1.13e-02 1.30e-01 2.377495e+01 -1.359985e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.35 rel. change during last iteration : -1.12582e-07 degrees of freedom (FIT_NDF) : 18139 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441666 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195069 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.775 +/- 0.005738 (0.02413%) b = -1.35999 +/- 4.978 (366%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:15 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2289996173e+05 0.00e+00 1.68e+01 2.377495e+01 -1.359985e+00 2 3.5410842877e+03 -1.29e-02 1.68e-01 2.912601e+01 -1.364527e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.08 rel. change during last iteration : -1.29065e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441873 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195252 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.126 +/- 0.005743 (0.01972%) b = -1.36453 +/- 4.98 (365%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:16 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2670260086e+05 0.00e+00 2.06e+01 2.912601e+01 -1.364527e+00 2 3.5378717386e+03 -1.14e-02 2.06e-01 3.449663e+01 -1.363500e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.87 rel. change during last iteration : -1.13671e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441672 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4966 +/- 0.00574 (0.01664%) b = -1.3635 +/- 4.977 (365%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:16 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2289204100e+05 0.00e+00 2.44e+01 3.449663e+01 -1.363500e+00 2 3.5369546077e+03 -1.12e-02 2.44e-01 3.984737e+01 -1.363922e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3536.95 rel. change during last iteration : -1.1188e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441591 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195002 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8474 +/- 0.005738 (0.0144%) b = -1.36392 +/- 4.976 (364.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:17 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2664776517e+05 0.00e+00 2.82e+01 3.984737e+01 -1.363922e+00 2 3.5372521788e+03 -1.13e-02 2.82e-01 4.521756e+01 -1.364330e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.25 rel. change during last iteration : -1.12767e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441622 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19503 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2176 +/- 0.005739 (0.01269%) b = -1.36433 +/- 4.977 (364.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:18 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2302677122e+05 0.00e+00 3.20e+01 4.521756e+01 -1.364330e+00 2 3.5371924714e+03 -1.12e-02 3.20e-01 5.056914e+01 -1.364764e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.19 rel. change during last iteration : -1.12172e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441618 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195026 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5691 +/- 0.005739 (0.01135%) b = -1.36476 +/- 4.977 (364.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:19 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2670744694e+05 0.00e+00 3.58e+01 5.056914e+01 -1.364764e+00 2 3.5407277759e+03 -1.17e-02 3.58e-01 5.593962e+01 -1.365828e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3540.73 rel. change during last iteration : -1.16599e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441838 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9396 +/- 0.005742 (0.01026%) b = -1.36583 +/- 4.98 (364.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:20 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2294606182e+05 0.00e+00 3.96e+01 5.593962e+01 -1.365828e+00 2 3.5379113572e+03 -1.12e-02 3.96e-01 6.129078e+01 -1.366091e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.91 rel. change during last iteration : -1.11874e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441663 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195066 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2908 +/- 0.00574 (0.009365%) b = -1.36609 +/- 4.977 (364.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:20 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2673842945e+05 0.00e+00 4.33e+01 6.129078e+01 -1.366091e+00 2 3.5414057303e+03 -1.16e-02 4.33e-01 6.666127e+01 -1.366952e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.41 rel. change during last iteration : -1.16394e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441869 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195248 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6613 +/- 0.005742 (0.008613%) b = -1.36695 +/- 4.98 (364.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:21 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2297104529e+05 0.00e+00 4.71e+01 6.666127e+01 -1.366952e+00 2 3.5372435813e+03 -1.12e-02 4.71e-01 7.201241e+01 -1.367215e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.24 rel. change during last iteration : -1.12023e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441609 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195018 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0124 +/- 0.005739 (0.007969%) b = -1.36722 +/- 4.976 (364%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:22 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2675949853e+05 0.00e+00 5.09e+01 7.201241e+01 -1.367215e+00 2 3.5413514528e+03 -1.12e-02 5.09e-01 7.738331e+01 -1.367312e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.35 rel. change during last iteration : -1.12341e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44189 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195266 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3833 +/- 0.005743 (0.007422%) b = -1.36731 +/- 4.98 (364.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:23 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2294911914e+05 0.00e+00 5.47e+01 7.738331e+01 -1.367312e+00 2 3.5383504251e+03 -1.12e-02 5.47e-01 8.273448e+01 -1.367008e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.35 rel. change during last iteration : -1.12344e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19509 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7345 +/- 0.00574 (0.006938%) b = -1.36701 +/- 4.978 (364.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:24 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2659234451e+05 0.00e+00 5.85e+01 8.273448e+01 -1.367008e+00 2 3.5382700914e+03 -1.13e-02 5.85e-01 8.810424e+01 -1.367169e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.27 rel. change during last iteration : -1.12572e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441673 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1042 +/- 0.005739 (0.006514%) b = -1.36717 +/- 4.977 (364.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:24 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2328779072e+05 0.00e+00 6.23e+01 8.810424e+01 -1.367169e+00 2 3.5483084630e+03 -1.12e-02 6.23e-01 9.345710e+01 -1.366962e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3548.31 rel. change during last iteration : -1.11773e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442311 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195639 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4571 +/- 0.005748 (0.006151%) b = -1.36696 +/- 4.985 (364.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:25 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2662730096e+05 0.00e+00 6.61e+01 9.345710e+01 -1.366962e+00 2 3.5482177504e+03 -1.12e-02 6.61e-01 9.882699e+01 -1.367044e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3548.22 rel. change during last iteration : -1.12084e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442293 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195623 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.827 +/- 0.005747 (0.005816%) b = -1.36704 +/- 4.984 (364.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:26 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18142 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 5.2306819841e+05 0.00e+00 6.99e+01 9.882699e+01 -1.367044e+00 2 3.5688406319e+03 -1.12e-02 6.99e-01 1.041782e+02 -1.367388e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3568.84 rel. change during last iteration : -1.1227e-07 degrees of freedom (FIT_NDF) : 18140 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.443552 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196739 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.178 +/- 0.005763 (0.005532%) b = -1.36739 +/- 4.998 (365.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:04:27 2025 FIT: data read from psfile[i] u 9:15 format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18124 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 5.2622549123e+05 0.00e+00 7.37e+01 1.041782e+02 -1.367388e+00 2 3.5449584970e+03 -1.12e-02 7.37e-01 1.095484e+02 -1.367287e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3544.96 rel. change during last iteration : -1.12372e-07 degrees of freedom (FIT_NDF) : 18122 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442285 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195616 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.548 +/- 0.005754 (0.005253%) b = -1.36729 +/- 4.988 (364.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:05:59 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18149 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 3.2809113803e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.5145799424e+03 -5.07e-01 7.07e-04 2.266760e+00 4.926633e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3514.58 rel. change during last iteration : -5.07264e-06 degrees of freedom (FIT_NDF) : 18147 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.440083 variance of residuals (reduced chisquare) = WSSR/ndf : 0.193673 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26676 +/- 0.005719 (0.2523%) b = 4.92663 +/- 4.962 (100.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:00 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18124 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 5.3417790354e+05 0.00e+00 1.60e+00 2.266760e+00 4.926633e+00 3 3.5412087523e+03 -1.05e-01 1.60e-03 7.683565e+00 -1.286475e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3541.21 rel. change during last iteration : -1.05421e-06 degrees of freedom (FIT_NDF) : 18122 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442051 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195409 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68357 +/- 0.005749 (0.07482%) b = -1.28648 +/- 4.986 (387.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:01 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18127 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 5.2623509974e+05 0.00e+00 5.43e+00 7.683565e+00 -1.286475e+00 2 3.5397431357e+03 -4.20e-02 5.43e-02 1.305346e+01 -1.341521e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3539.74 rel. change during last iteration : -4.19597e-07 degrees of freedom (FIT_NDF) : 18125 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441923 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195296 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0535 +/- 0.005746 (0.04402%) b = -1.34152 +/- 4.983 (371.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:02 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18132 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 5.2280260671e+05 0.00e+00 9.23e+00 1.305346e+01 -1.341521e+00 2 3.5393957646e+03 -2.10e-02 9.23e-02 1.840492e+01 -1.360748e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3539.4 rel. change during last iteration : -2.09805e-07 degrees of freedom (FIT_NDF) : 18130 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441841 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195223 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4049 +/- 0.005743 (0.03121%) b = -1.36075 +/- 4.982 (366.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:03 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18141 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 5.2667550221e+05 0.00e+00 1.30e+01 1.840492e+01 -1.360748e+00 2 3.5383486793e+03 -1.13e-02 1.30e-01 2.377495e+01 -1.359985e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.35 rel. change during last iteration : -1.12582e-07 degrees of freedom (FIT_NDF) : 18139 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441666 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195069 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.775 +/- 0.005738 (0.02413%) b = -1.35999 +/- 4.978 (366%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:04 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2289996173e+05 0.00e+00 1.68e+01 2.377495e+01 -1.359985e+00 2 3.5410842877e+03 -1.29e-02 1.68e-01 2.912601e+01 -1.364527e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.08 rel. change during last iteration : -1.29065e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441873 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195252 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.126 +/- 0.005743 (0.01972%) b = -1.36453 +/- 4.98 (365%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:05 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2670260086e+05 0.00e+00 2.06e+01 2.912601e+01 -1.364527e+00 2 3.5378717386e+03 -1.14e-02 2.06e-01 3.449663e+01 -1.363500e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.87 rel. change during last iteration : -1.13671e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441672 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4966 +/- 0.00574 (0.01664%) b = -1.3635 +/- 4.977 (365%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:06 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2289204100e+05 0.00e+00 2.44e+01 3.449663e+01 -1.363500e+00 2 3.5369546077e+03 -1.12e-02 2.44e-01 3.984737e+01 -1.363922e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3536.95 rel. change during last iteration : -1.1188e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441591 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195002 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8474 +/- 0.005738 (0.0144%) b = -1.36392 +/- 4.976 (364.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:06 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2664776517e+05 0.00e+00 2.82e+01 3.984737e+01 -1.363922e+00 2 3.5372521788e+03 -1.13e-02 2.82e-01 4.521756e+01 -1.364330e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.25 rel. change during last iteration : -1.12767e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441622 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19503 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2176 +/- 0.005739 (0.01269%) b = -1.36433 +/- 4.977 (364.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:07 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2302677122e+05 0.00e+00 3.20e+01 4.521756e+01 -1.364330e+00 2 3.5371924714e+03 -1.12e-02 3.20e-01 5.056914e+01 -1.364764e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.19 rel. change during last iteration : -1.12172e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441618 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195026 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5691 +/- 0.005739 (0.01135%) b = -1.36476 +/- 4.977 (364.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:08 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2670744694e+05 0.00e+00 3.58e+01 5.056914e+01 -1.364764e+00 2 3.5407277759e+03 -1.17e-02 3.58e-01 5.593962e+01 -1.365828e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3540.73 rel. change during last iteration : -1.16599e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441838 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195221 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9396 +/- 0.005742 (0.01026%) b = -1.36583 +/- 4.98 (364.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:09 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2294606182e+05 0.00e+00 3.96e+01 5.593962e+01 -1.365828e+00 2 3.5379113572e+03 -1.12e-02 3.96e-01 6.129078e+01 -1.366091e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.91 rel. change during last iteration : -1.11874e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441663 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195066 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2908 +/- 0.00574 (0.009365%) b = -1.36609 +/- 4.977 (364.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:10 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2673842945e+05 0.00e+00 4.33e+01 6.129078e+01 -1.366091e+00 2 3.5414057303e+03 -1.16e-02 4.33e-01 6.666127e+01 -1.366952e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.41 rel. change during last iteration : -1.16394e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441869 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195248 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6613 +/- 0.005742 (0.008613%) b = -1.36695 +/- 4.98 (364.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:11 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2297104529e+05 0.00e+00 4.71e+01 6.666127e+01 -1.366952e+00 2 3.5372435813e+03 -1.12e-02 4.71e-01 7.201241e+01 -1.367215e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3537.24 rel. change during last iteration : -1.12023e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441609 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195018 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0124 +/- 0.005739 (0.007969%) b = -1.36722 +/- 4.976 (364%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:12 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18138 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 5.2675949853e+05 0.00e+00 5.09e+01 7.201241e+01 -1.367215e+00 2 3.5413514528e+03 -1.12e-02 5.09e-01 7.738331e+01 -1.367312e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3541.35 rel. change during last iteration : -1.12341e-07 degrees of freedom (FIT_NDF) : 18136 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44189 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195266 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3833 +/- 0.005743 (0.007422%) b = -1.36731 +/- 4.98 (364.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:13 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2294911914e+05 0.00e+00 5.47e+01 7.738331e+01 -1.367312e+00 2 3.5383504251e+03 -1.12e-02 5.47e-01 8.273448e+01 -1.367008e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.35 rel. change during last iteration : -1.12344e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44169 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19509 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7345 +/- 0.00574 (0.006938%) b = -1.36701 +/- 4.978 (364.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:14 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2659234451e+05 0.00e+00 5.85e+01 8.273448e+01 -1.367008e+00 2 3.5382700914e+03 -1.13e-02 5.85e-01 8.810424e+01 -1.367169e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3538.27 rel. change during last iteration : -1.12572e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.441673 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1042 +/- 0.005739 (0.006514%) b = -1.36717 +/- 4.977 (364.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:15 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18139 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 5.2328779072e+05 0.00e+00 6.23e+01 8.810424e+01 -1.367169e+00 2 3.5483084630e+03 -1.12e-02 6.23e-01 9.345710e+01 -1.366962e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3548.31 rel. change during last iteration : -1.11773e-07 degrees of freedom (FIT_NDF) : 18137 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442311 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195639 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4571 +/- 0.005748 (0.006151%) b = -1.36696 +/- 4.985 (364.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:16 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18140 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 5.2662730096e+05 0.00e+00 6.61e+01 9.345710e+01 -1.366962e+00 2 3.5482177504e+03 -1.12e-02 6.61e-01 9.882699e+01 -1.367044e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3548.22 rel. change during last iteration : -1.12084e-07 degrees of freedom (FIT_NDF) : 18138 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442293 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195623 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.827 +/- 0.005747 (0.005816%) b = -1.36704 +/- 4.984 (364.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:16 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18142 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 5.2306819841e+05 0.00e+00 6.99e+01 9.882699e+01 -1.367044e+00 2 3.5688406319e+03 -1.12e-02 6.99e-01 1.041782e+02 -1.367388e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3568.84 rel. change during last iteration : -1.1227e-07 degrees of freedom (FIT_NDF) : 18140 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.443552 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196739 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.178 +/- 0.005763 (0.005532%) b = -1.36739 +/- 4.998 (365.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:06:17 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z x range restricted to [1.00000e-07 : *] #datapoints = 18124 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 5.2622549123e+05 0.00e+00 7.37e+01 1.041782e+02 -1.367388e+00 2 3.5449584970e+03 -1.12e-02 7.37e-01 1.095484e+02 -1.367287e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3544.96 rel. change during last iteration : -1.12372e-07 degrees of freedom (FIT_NDF) : 18122 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442285 variance of residuals (reduced chisquare) = WSSR/ndf : 0.195616 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.548 +/- 0.005754 (0.005253%) b = -1.36729 +/- 4.988 (364.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.821 1.000 ******************************************************************************* Mon Feb 17 21:09:04 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33344 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 6.0064947805e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 6.2491492476e+03 -1.52e-03 7.07e-03 2.270422e+00 9.559365e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6249.15 rel. change during last iteration : -1.51538e-08 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.432927 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27042 +/- 0.002386 (0.1051%) b = 0.955937 +/- 2.159 (225.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.113 1.000 ******************************************************************************* Mon Feb 17 21:09:05 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.8279631861e+05 0.00e+00 1.61e+00 2.270422e+00 9.559365e-01 3 6.3269855562e+03 -2.67e-01 1.61e-03 7.682071e+00 -6.357008e-01 After 3 iterations the fit converged. final sum of squares of residuals : 6326.99 rel. change during last iteration : -2.67407e-06 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189755 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68207 +/- 0.0024 (0.03125%) b = -0.635701 +/- 2.17 (341.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Mon Feb 17 21:09:07 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6775803952e+05 0.00e+00 5.43e+00 7.682071e+00 -6.357008e-01 2 6.3258466806e+03 -3.45e-03 5.43e-02 1.305170e+01 -6.345858e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6325.85 rel. change during last iteration : -3.44581e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435569 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18972 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0517 +/- 0.0024 (0.01839%) b = -0.634586 +/- 2.169 (341.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Mon Feb 17 21:09:08 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6124820935e+05 0.00e+00 9.23e+00 1.305170e+01 -6.345858e-01 2 6.3260354676e+03 -3.47e-03 9.23e-02 1.840311e+01 -6.335443e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.04 rel. change during last iteration : -3.46546e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435576 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189726 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4031 +/- 0.0024 (0.01304%) b = -0.633544 +/- 2.17 (342.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Mon Feb 17 21:09:10 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796330259e+05 0.00e+00 1.30e+01 1.840311e+01 -6.335443e-01 2 6.3216593584e+03 -3.99e-03 1.30e-01 2.377332e+01 -6.314611e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.66 rel. change during last iteration : -3.99016e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435425 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189595 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7733 +/- 0.0024 (0.01009%) b = -0.631461 +/- 2.17 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:09:11 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6117012508e+05 0.00e+00 1.68e+01 2.377332e+01 -6.314611e-01 2 6.3234287205e+03 -3.45e-03 1.68e-01 2.912452e+01 -6.319647e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6323.43 rel. change during last iteration : -3.45103e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435486 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1245 +/- 0.0024 (0.00824%) b = -0.631965 +/- 2.17 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:09:13 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6803287598e+05 0.00e+00 2.06e+01 2.912452e+01 -6.319647e-01 2 6.3210414130e+03 -3.78e-03 2.06e-01 3.449493e+01 -6.309160e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.04 rel. change during last iteration : -3.78341e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435404 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189576 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4949 +/- 0.002399 (0.006956%) b = -0.630916 +/- 2.169 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:09:14 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112027633e+05 0.00e+00 2.44e+01 3.449493e+01 -6.309160e-01 2 6.3204194017e+03 -3.42e-03 2.44e-01 3.984600e+01 -6.311394e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.42 rel. change during last iteration : -3.41971e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435382 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189558 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.846 +/- 0.002399 (0.006021%) b = -0.631139 +/- 2.169 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:09:16 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796762164e+05 0.00e+00 2.82e+01 3.984600e+01 -6.311394e-01 2 6.3210098036e+03 -3.45e-03 2.82e-01 4.521623e+01 -6.313687e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.01 rel. change during last iteration : -3.45312e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435402 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2162 +/- 0.002399 (0.005307%) b = -0.631369 +/- 2.169 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:09:17 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6127180589e+05 0.00e+00 3.20e+01 4.521623e+01 -6.313687e-01 2 6.3205760875e+03 -3.40e-03 3.20e-01 5.056772e+01 -6.314636e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.58 rel. change during last iteration : -3.40414e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435388 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189562 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5677 +/- 0.002399 (0.004745%) b = -0.631464 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:09:19 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809552002e+05 0.00e+00 3.58e+01 5.056772e+01 -6.314636e-01 2 6.3245466446e+03 -3.44e-03 3.58e-01 5.593829e+01 -6.316223e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.55 rel. change during last iteration : -3.44415e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189681 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9383 +/- 0.0024 (0.004291%) b = -0.631622 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:09:20 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112422583e+05 0.00e+00 3.96e+01 5.593829e+01 -6.316223e-01 2 6.3211618307e+03 -3.40e-03 3.96e-01 6.128937e+01 -6.316853e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.16 rel. change during last iteration : -3.40096e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435408 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18958 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2894 +/- 0.002399 (0.003915%) b = -0.631685 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:09:22 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6801288087e+05 0.00e+00 4.33e+01 6.128937e+01 -6.316853e-01 2 6.3243601668e+03 -3.43e-03 4.33e-01 6.665972e+01 -6.317863e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.36 rel. change during last iteration : -3.4338e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435518 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189676 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6597 +/- 0.0024 (0.0036%) b = -0.631786 +/- 2.17 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:09:23 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6120677625e+05 0.00e+00 4.71e+01 6.665972e+01 -6.317863e-01 2 6.3201340707e+03 -3.41e-03 4.71e-01 7.201103e+01 -6.318651e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.13 rel. change during last iteration : -3.40769e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435372 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189549 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.011 +/- 0.002399 (0.003332%) b = -0.631865 +/- 2.169 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:09:25 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809888655e+05 0.00e+00 5.09e+01 7.201103e+01 -6.318651e-01 2 6.3260053804e+03 -3.45e-03 5.09e-01 7.738161e+01 -6.317433e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.01 rel. change during last iteration : -3.44812e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435574 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189725 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3816 +/- 0.0024 (0.003102%) b = -0.631743 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:09:26 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6119751579e+05 0.00e+00 5.47e+01 7.738161e+01 -6.317433e-01 2 6.3213298445e+03 -3.44e-03 5.47e-01 8.273289e+01 -6.316074e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.33 rel. change during last iteration : -3.43923e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189585 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7329 +/- 0.0024 (0.0029%) b = -0.631607 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:09:27 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6787964257e+05 0.00e+00 5.85e+01 8.273289e+01 -6.316074e-01 2 6.3212957358e+03 -3.43e-03 5.85e-01 8.810287e+01 -6.316674e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.3 rel. change during last iteration : -3.42965e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435412 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1029 +/- 0.002399 (0.002724%) b = -0.631667 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:09:29 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6160140927e+05 0.00e+00 6.23e+01 8.810287e+01 -6.316674e-01 2 6.3315897455e+03 -3.42e-03 6.23e-01 9.345526e+01 -6.315759e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.59 rel. change during last iteration : -3.41737e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435767 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189893 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4553 +/- 0.002401 (0.00257%) b = -0.631576 +/- 2.171 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:09:30 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6791364210e+05 0.00e+00 6.61e+01 9.345526e+01 -6.315759e-01 2 6.3314148886e+03 -3.42e-03 6.61e-01 9.882530e+01 -6.315977e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.41 rel. change during last iteration : -3.4163e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435761 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189887 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8253 +/- 0.002401 (0.00243%) b = -0.631598 +/- 2.171 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:09:32 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6129222624e+05 0.00e+00 6.99e+01 9.882530e+01 -6.315977e-01 2 6.3709587164e+03 -3.39e-03 6.99e-01 1.041767e+02 -6.316665e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6370.96 rel. change during last iteration : -3.38787e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437119 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191073 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.177 +/- 0.002409 (0.002312%) b = -0.631667 +/- 2.178 (344.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:09:33 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 24473 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 7.0908531659e+05 0.00e+00 7.37e+01 1.041767e+02 -6.316665e-01 2 4.7984905278e+03 -1.49e-02 7.37e-01 1.095412e+02 -6.304123e-01 After 2 iterations the fit converged. final sum of squares of residuals : 4798.49 rel. change during last iteration : -1.48664e-07 degrees of freedom (FIT_NDF) : 24471 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196089 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.541 +/- 0.00355 (0.003241%) b = -0.630412 +/- 3.497 (554.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.603 1.000 ******************************************************************************* Mon Feb 17 21:11:40 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33344 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 6.0064947805e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 6.2491492476e+03 -1.52e-03 7.07e-03 2.270422e+00 9.559365e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6249.15 rel. change during last iteration : -1.51538e-08 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.432927 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27042 +/- 0.002386 (0.1051%) b = 0.955937 +/- 2.159 (225.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.113 1.000 ******************************************************************************* Mon Feb 17 21:11:42 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.8279631861e+05 0.00e+00 1.61e+00 2.270422e+00 9.559365e-01 3 6.3269855562e+03 -2.67e-01 1.61e-03 7.682071e+00 -6.357008e-01 After 3 iterations the fit converged. final sum of squares of residuals : 6326.99 rel. change during last iteration : -2.67407e-06 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189755 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68207 +/- 0.0024 (0.03125%) b = -0.635701 +/- 2.17 (341.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Mon Feb 17 21:11:44 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6775803952e+05 0.00e+00 5.43e+00 7.682071e+00 -6.357008e-01 2 6.3258466806e+03 -3.45e-03 5.43e-02 1.305170e+01 -6.345858e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6325.85 rel. change during last iteration : -3.44581e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435569 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18972 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0517 +/- 0.0024 (0.01839%) b = -0.634586 +/- 2.169 (341.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Mon Feb 17 21:11:45 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6124820935e+05 0.00e+00 9.23e+00 1.305170e+01 -6.345858e-01 2 6.3260354676e+03 -3.47e-03 9.23e-02 1.840311e+01 -6.335443e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.04 rel. change during last iteration : -3.46546e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435576 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189726 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4031 +/- 0.0024 (0.01304%) b = -0.633544 +/- 2.17 (342.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Mon Feb 17 21:11:47 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796330259e+05 0.00e+00 1.30e+01 1.840311e+01 -6.335443e-01 2 6.3216593584e+03 -3.99e-03 1.30e-01 2.377332e+01 -6.314611e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.66 rel. change during last iteration : -3.99016e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435425 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189595 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7733 +/- 0.0024 (0.01009%) b = -0.631461 +/- 2.17 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:11:48 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6117012508e+05 0.00e+00 1.68e+01 2.377332e+01 -6.314611e-01 2 6.3234287205e+03 -3.45e-03 1.68e-01 2.912452e+01 -6.319647e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6323.43 rel. change during last iteration : -3.45103e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435486 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1245 +/- 0.0024 (0.00824%) b = -0.631965 +/- 2.17 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:11:50 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6803287598e+05 0.00e+00 2.06e+01 2.912452e+01 -6.319647e-01 2 6.3210414130e+03 -3.78e-03 2.06e-01 3.449493e+01 -6.309160e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.04 rel. change during last iteration : -3.78341e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435404 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189576 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4949 +/- 0.002399 (0.006956%) b = -0.630916 +/- 2.169 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:11:51 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112027633e+05 0.00e+00 2.44e+01 3.449493e+01 -6.309160e-01 2 6.3204194017e+03 -3.42e-03 2.44e-01 3.984600e+01 -6.311394e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.42 rel. change during last iteration : -3.41971e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435382 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189558 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.846 +/- 0.002399 (0.006021%) b = -0.631139 +/- 2.169 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:11:53 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796762164e+05 0.00e+00 2.82e+01 3.984600e+01 -6.311394e-01 2 6.3210098036e+03 -3.45e-03 2.82e-01 4.521623e+01 -6.313687e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.01 rel. change during last iteration : -3.45312e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435402 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2162 +/- 0.002399 (0.005307%) b = -0.631369 +/- 2.169 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:11:55 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6127180589e+05 0.00e+00 3.20e+01 4.521623e+01 -6.313687e-01 2 6.3205760875e+03 -3.40e-03 3.20e-01 5.056772e+01 -6.314636e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.58 rel. change during last iteration : -3.40414e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435388 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189562 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5677 +/- 0.002399 (0.004745%) b = -0.631464 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:11:56 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809552002e+05 0.00e+00 3.58e+01 5.056772e+01 -6.314636e-01 2 6.3245466446e+03 -3.44e-03 3.58e-01 5.593829e+01 -6.316223e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.55 rel. change during last iteration : -3.44415e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189681 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9383 +/- 0.0024 (0.004291%) b = -0.631622 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:11:58 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112422583e+05 0.00e+00 3.96e+01 5.593829e+01 -6.316223e-01 2 6.3211618307e+03 -3.40e-03 3.96e-01 6.128937e+01 -6.316853e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.16 rel. change during last iteration : -3.40096e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435408 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18958 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2894 +/- 0.002399 (0.003915%) b = -0.631685 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:11:59 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6801288087e+05 0.00e+00 4.33e+01 6.128937e+01 -6.316853e-01 2 6.3243601668e+03 -3.43e-03 4.33e-01 6.665972e+01 -6.317863e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.36 rel. change during last iteration : -3.4338e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435518 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189676 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6597 +/- 0.0024 (0.0036%) b = -0.631786 +/- 2.17 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:12:01 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6120677625e+05 0.00e+00 4.71e+01 6.665972e+01 -6.317863e-01 2 6.3201340707e+03 -3.41e-03 4.71e-01 7.201103e+01 -6.318651e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.13 rel. change during last iteration : -3.40769e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435372 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189549 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.011 +/- 0.002399 (0.003332%) b = -0.631865 +/- 2.169 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:12:03 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809888655e+05 0.00e+00 5.09e+01 7.201103e+01 -6.318651e-01 2 6.3260053804e+03 -3.45e-03 5.09e-01 7.738161e+01 -6.317433e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.01 rel. change during last iteration : -3.44812e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435574 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189725 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3816 +/- 0.0024 (0.003102%) b = -0.631743 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:12:04 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6119751579e+05 0.00e+00 5.47e+01 7.738161e+01 -6.317433e-01 2 6.3213298445e+03 -3.44e-03 5.47e-01 8.273289e+01 -6.316074e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.33 rel. change during last iteration : -3.43923e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189585 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7329 +/- 0.0024 (0.0029%) b = -0.631607 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:12:06 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6787964257e+05 0.00e+00 5.85e+01 8.273289e+01 -6.316074e-01 2 6.3212957358e+03 -3.43e-03 5.85e-01 8.810287e+01 -6.316674e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.3 rel. change during last iteration : -3.42965e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435412 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1029 +/- 0.002399 (0.002724%) b = -0.631667 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:12:07 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6160140927e+05 0.00e+00 6.23e+01 8.810287e+01 -6.316674e-01 2 6.3315897455e+03 -3.42e-03 6.23e-01 9.345526e+01 -6.315759e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.59 rel. change during last iteration : -3.41737e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435767 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189893 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4553 +/- 0.002401 (0.00257%) b = -0.631576 +/- 2.171 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:12:09 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6791364210e+05 0.00e+00 6.61e+01 9.345526e+01 -6.315759e-01 2 6.3314148886e+03 -3.42e-03 6.61e-01 9.882530e+01 -6.315977e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.41 rel. change during last iteration : -3.4163e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435761 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189887 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8253 +/- 0.002401 (0.00243%) b = -0.631598 +/- 2.171 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:12:11 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6129222624e+05 0.00e+00 6.99e+01 9.882530e+01 -6.315977e-01 2 6.3709587164e+03 -3.39e-03 6.99e-01 1.041767e+02 -6.316665e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6370.96 rel. change during last iteration : -3.38787e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437119 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191073 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.177 +/- 0.002409 (0.002312%) b = -0.631667 +/- 2.178 (344.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:12:12 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 24473 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 7.0908531659e+05 0.00e+00 7.37e+01 1.041767e+02 -6.316665e-01 2 4.7984905278e+03 -1.49e-02 7.37e-01 1.095412e+02 -6.304123e-01 After 2 iterations the fit converged. final sum of squares of residuals : 4798.49 rel. change during last iteration : -1.48664e-07 degrees of freedom (FIT_NDF) : 24471 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196089 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.541 +/- 0.00355 (0.003241%) b = -0.630412 +/- 3.497 (554.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.603 1.000 ******************************************************************************* Mon Feb 17 21:16:40 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33344 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 6.0064947805e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 6.2491492476e+03 -1.52e-03 7.07e-03 2.270422e+00 9.559365e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6249.15 rel. change during last iteration : -1.51538e-08 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.432927 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27042 +/- 0.002386 (0.1051%) b = 0.955937 +/- 2.159 (225.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.113 1.000 ******************************************************************************* Mon Feb 17 21:17:05 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33344 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 6.0064947805e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 6.2491492476e+03 -1.52e-03 7.07e-03 2.270422e+00 9.559365e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6249.15 rel. change during last iteration : -1.51538e-08 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.432927 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27042 +/- 0.002386 (0.1051%) b = 0.955937 +/- 2.159 (225.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.113 1.000 ******************************************************************************* Mon Feb 17 21:17:07 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.8279631861e+05 0.00e+00 1.61e+00 2.270422e+00 9.559365e-01 3 6.3269855562e+03 -2.67e-01 1.61e-03 7.682071e+00 -6.357008e-01 After 3 iterations the fit converged. final sum of squares of residuals : 6326.99 rel. change during last iteration : -2.67407e-06 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189755 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68207 +/- 0.0024 (0.03125%) b = -0.635701 +/- 2.17 (341.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Mon Feb 17 21:17:08 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6775803952e+05 0.00e+00 5.43e+00 7.682071e+00 -6.357008e-01 2 6.3258466806e+03 -3.45e-03 5.43e-02 1.305170e+01 -6.345858e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6325.85 rel. change during last iteration : -3.44581e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435569 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18972 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0517 +/- 0.0024 (0.01839%) b = -0.634586 +/- 2.169 (341.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Mon Feb 17 21:17:10 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6124820935e+05 0.00e+00 9.23e+00 1.305170e+01 -6.345858e-01 2 6.3260354676e+03 -3.47e-03 9.23e-02 1.840311e+01 -6.335443e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.04 rel. change during last iteration : -3.46546e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435576 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189726 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4031 +/- 0.0024 (0.01304%) b = -0.633544 +/- 2.17 (342.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Mon Feb 17 21:17:12 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796330259e+05 0.00e+00 1.30e+01 1.840311e+01 -6.335443e-01 2 6.3216593584e+03 -3.99e-03 1.30e-01 2.377332e+01 -6.314611e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.66 rel. change during last iteration : -3.99016e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435425 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189595 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7733 +/- 0.0024 (0.01009%) b = -0.631461 +/- 2.17 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:17:13 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6117012508e+05 0.00e+00 1.68e+01 2.377332e+01 -6.314611e-01 2 6.3234287205e+03 -3.45e-03 1.68e-01 2.912452e+01 -6.319647e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6323.43 rel. change during last iteration : -3.45103e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435486 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1245 +/- 0.0024 (0.00824%) b = -0.631965 +/- 2.17 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:17:15 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6803287598e+05 0.00e+00 2.06e+01 2.912452e+01 -6.319647e-01 2 6.3210414130e+03 -3.78e-03 2.06e-01 3.449493e+01 -6.309160e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.04 rel. change during last iteration : -3.78341e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435404 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189576 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4949 +/- 0.002399 (0.006956%) b = -0.630916 +/- 2.169 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:17:17 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112027633e+05 0.00e+00 2.44e+01 3.449493e+01 -6.309160e-01 2 6.3204194017e+03 -3.42e-03 2.44e-01 3.984600e+01 -6.311394e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.42 rel. change during last iteration : -3.41971e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435382 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189558 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.846 +/- 0.002399 (0.006021%) b = -0.631139 +/- 2.169 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:17:18 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796762164e+05 0.00e+00 2.82e+01 3.984600e+01 -6.311394e-01 2 6.3210098036e+03 -3.45e-03 2.82e-01 4.521623e+01 -6.313687e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.01 rel. change during last iteration : -3.45312e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435402 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2162 +/- 0.002399 (0.005307%) b = -0.631369 +/- 2.169 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:17:20 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6127180589e+05 0.00e+00 3.20e+01 4.521623e+01 -6.313687e-01 2 6.3205760875e+03 -3.40e-03 3.20e-01 5.056772e+01 -6.314636e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.58 rel. change during last iteration : -3.40414e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435388 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189562 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5677 +/- 0.002399 (0.004745%) b = -0.631464 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:17:22 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809552002e+05 0.00e+00 3.58e+01 5.056772e+01 -6.314636e-01 2 6.3245466446e+03 -3.44e-03 3.58e-01 5.593829e+01 -6.316223e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.55 rel. change during last iteration : -3.44415e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189681 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9383 +/- 0.0024 (0.004291%) b = -0.631622 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:17:23 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112422583e+05 0.00e+00 3.96e+01 5.593829e+01 -6.316223e-01 2 6.3211618307e+03 -3.40e-03 3.96e-01 6.128937e+01 -6.316853e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.16 rel. change during last iteration : -3.40096e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435408 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18958 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2894 +/- 0.002399 (0.003915%) b = -0.631685 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:17:25 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6801288087e+05 0.00e+00 4.33e+01 6.128937e+01 -6.316853e-01 2 6.3243601668e+03 -3.43e-03 4.33e-01 6.665972e+01 -6.317863e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.36 rel. change during last iteration : -3.4338e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435518 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189676 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6597 +/- 0.0024 (0.0036%) b = -0.631786 +/- 2.17 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:17:27 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6120677625e+05 0.00e+00 4.71e+01 6.665972e+01 -6.317863e-01 2 6.3201340707e+03 -3.41e-03 4.71e-01 7.201103e+01 -6.318651e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.13 rel. change during last iteration : -3.40769e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435372 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189549 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.011 +/- 0.002399 (0.003332%) b = -0.631865 +/- 2.169 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:17:29 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809888655e+05 0.00e+00 5.09e+01 7.201103e+01 -6.318651e-01 2 6.3260053804e+03 -3.45e-03 5.09e-01 7.738161e+01 -6.317433e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.01 rel. change during last iteration : -3.44812e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435574 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189725 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3816 +/- 0.0024 (0.003102%) b = -0.631743 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:17:30 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6119751579e+05 0.00e+00 5.47e+01 7.738161e+01 -6.317433e-01 2 6.3213298445e+03 -3.44e-03 5.47e-01 8.273289e+01 -6.316074e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.33 rel. change during last iteration : -3.43923e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189585 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7329 +/- 0.0024 (0.0029%) b = -0.631607 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:17:32 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6787964257e+05 0.00e+00 5.85e+01 8.273289e+01 -6.316074e-01 2 6.3212957358e+03 -3.43e-03 5.85e-01 8.810287e+01 -6.316674e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.3 rel. change during last iteration : -3.42965e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435412 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1029 +/- 0.002399 (0.002724%) b = -0.631667 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:17:34 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6160140927e+05 0.00e+00 6.23e+01 8.810287e+01 -6.316674e-01 2 6.3315897455e+03 -3.42e-03 6.23e-01 9.345526e+01 -6.315759e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.59 rel. change during last iteration : -3.41737e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435767 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189893 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4553 +/- 0.002401 (0.00257%) b = -0.631576 +/- 2.171 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:17:35 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6791364210e+05 0.00e+00 6.61e+01 9.345526e+01 -6.315759e-01 2 6.3314148886e+03 -3.42e-03 6.61e-01 9.882530e+01 -6.315977e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.41 rel. change during last iteration : -3.4163e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435761 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189887 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8253 +/- 0.002401 (0.00243%) b = -0.631598 +/- 2.171 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:17:37 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6129222624e+05 0.00e+00 6.99e+01 9.882530e+01 -6.315977e-01 2 6.3709587164e+03 -3.39e-03 6.99e-01 1.041767e+02 -6.316665e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6370.96 rel. change during last iteration : -3.38787e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437119 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191073 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.177 +/- 0.002409 (0.002312%) b = -0.631667 +/- 2.178 (344.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Mon Feb 17 21:17:38 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 24473 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 7.0908531659e+05 0.00e+00 7.37e+01 1.041767e+02 -6.316665e-01 2 4.7984905278e+03 -1.49e-02 7.37e-01 1.095412e+02 -6.304123e-01 After 2 iterations the fit converged. final sum of squares of residuals : 4798.49 rel. change during last iteration : -1.48664e-07 degrees of freedom (FIT_NDF) : 24471 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196089 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.541 +/- 0.00355 (0.003241%) b = -0.630412 +/- 3.497 (554.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.603 1.000 ******************************************************************************* Tue Feb 18 20:34:55 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33344 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 6.0064947805e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 6.2491492476e+03 -1.52e-03 7.07e-03 2.270422e+00 9.559365e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6249.15 rel. change during last iteration : -1.51538e-08 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.432927 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27042 +/- 0.002386 (0.1051%) b = 0.955937 +/- 2.159 (225.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.113 1.000 ******************************************************************************* Tue Feb 18 20:34:57 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.8279631861e+05 0.00e+00 1.61e+00 2.270422e+00 9.559365e-01 3 6.3269855562e+03 -2.67e-01 1.61e-03 7.682071e+00 -6.357008e-01 After 3 iterations the fit converged. final sum of squares of residuals : 6326.99 rel. change during last iteration : -2.67407e-06 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189755 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68207 +/- 0.0024 (0.03125%) b = -0.635701 +/- 2.17 (341.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Tue Feb 18 20:35:00 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6775803952e+05 0.00e+00 5.43e+00 7.682071e+00 -6.357008e-01 2 6.3258466806e+03 -3.45e-03 5.43e-02 1.305170e+01 -6.345858e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6325.85 rel. change during last iteration : -3.44581e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435569 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18972 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0517 +/- 0.0024 (0.01839%) b = -0.634586 +/- 2.169 (341.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Tue Feb 18 20:35:02 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6124820935e+05 0.00e+00 9.23e+00 1.305170e+01 -6.345858e-01 2 6.3260354676e+03 -3.47e-03 9.23e-02 1.840311e+01 -6.335443e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.04 rel. change during last iteration : -3.46546e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435576 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189726 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4031 +/- 0.0024 (0.01304%) b = -0.633544 +/- 2.17 (342.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Tue Feb 18 20:35:04 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796330259e+05 0.00e+00 1.30e+01 1.840311e+01 -6.335443e-01 2 6.3216593584e+03 -3.99e-03 1.30e-01 2.377332e+01 -6.314611e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.66 rel. change during last iteration : -3.99016e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435425 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189595 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7733 +/- 0.0024 (0.01009%) b = -0.631461 +/- 2.17 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:35:06 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6117012508e+05 0.00e+00 1.68e+01 2.377332e+01 -6.314611e-01 2 6.3234287205e+03 -3.45e-03 1.68e-01 2.912452e+01 -6.319647e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6323.43 rel. change during last iteration : -3.45103e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435486 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1245 +/- 0.0024 (0.00824%) b = -0.631965 +/- 2.17 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:35:08 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6803287598e+05 0.00e+00 2.06e+01 2.912452e+01 -6.319647e-01 2 6.3210414130e+03 -3.78e-03 2.06e-01 3.449493e+01 -6.309160e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.04 rel. change during last iteration : -3.78341e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435404 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189576 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4949 +/- 0.002399 (0.006956%) b = -0.630916 +/- 2.169 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:35:11 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112027633e+05 0.00e+00 2.44e+01 3.449493e+01 -6.309160e-01 2 6.3204194017e+03 -3.42e-03 2.44e-01 3.984600e+01 -6.311394e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.42 rel. change during last iteration : -3.41971e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435382 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189558 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.846 +/- 0.002399 (0.006021%) b = -0.631139 +/- 2.169 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:35:13 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796762164e+05 0.00e+00 2.82e+01 3.984600e+01 -6.311394e-01 2 6.3210098036e+03 -3.45e-03 2.82e-01 4.521623e+01 -6.313687e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.01 rel. change during last iteration : -3.45312e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435402 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2162 +/- 0.002399 (0.005307%) b = -0.631369 +/- 2.169 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:35:15 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6127180589e+05 0.00e+00 3.20e+01 4.521623e+01 -6.313687e-01 2 6.3205760875e+03 -3.40e-03 3.20e-01 5.056772e+01 -6.314636e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.58 rel. change during last iteration : -3.40414e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435388 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189562 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5677 +/- 0.002399 (0.004745%) b = -0.631464 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:35:17 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809552002e+05 0.00e+00 3.58e+01 5.056772e+01 -6.314636e-01 2 6.3245466446e+03 -3.44e-03 3.58e-01 5.593829e+01 -6.316223e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.55 rel. change during last iteration : -3.44415e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189681 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9383 +/- 0.0024 (0.004291%) b = -0.631622 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:35:19 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112422583e+05 0.00e+00 3.96e+01 5.593829e+01 -6.316223e-01 2 6.3211618307e+03 -3.40e-03 3.96e-01 6.128937e+01 -6.316853e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.16 rel. change during last iteration : -3.40096e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435408 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18958 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2894 +/- 0.002399 (0.003915%) b = -0.631685 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:35:22 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6801288087e+05 0.00e+00 4.33e+01 6.128937e+01 -6.316853e-01 2 6.3243601668e+03 -3.43e-03 4.33e-01 6.665972e+01 -6.317863e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.36 rel. change during last iteration : -3.4338e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435518 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189676 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6597 +/- 0.0024 (0.0036%) b = -0.631786 +/- 2.17 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:35:24 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6120677625e+05 0.00e+00 4.71e+01 6.665972e+01 -6.317863e-01 2 6.3201340707e+03 -3.41e-03 4.71e-01 7.201103e+01 -6.318651e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.13 rel. change during last iteration : -3.40769e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435372 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189549 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.011 +/- 0.002399 (0.003332%) b = -0.631865 +/- 2.169 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:35:26 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809888655e+05 0.00e+00 5.09e+01 7.201103e+01 -6.318651e-01 2 6.3260053804e+03 -3.45e-03 5.09e-01 7.738161e+01 -6.317433e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.01 rel. change during last iteration : -3.44812e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435574 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189725 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3816 +/- 0.0024 (0.003102%) b = -0.631743 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:35:28 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6119751579e+05 0.00e+00 5.47e+01 7.738161e+01 -6.317433e-01 2 6.3213298445e+03 -3.44e-03 5.47e-01 8.273289e+01 -6.316074e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.33 rel. change during last iteration : -3.43923e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189585 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7329 +/- 0.0024 (0.0029%) b = -0.631607 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:35:30 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6787964257e+05 0.00e+00 5.85e+01 8.273289e+01 -6.316074e-01 2 6.3212957358e+03 -3.43e-03 5.85e-01 8.810287e+01 -6.316674e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.3 rel. change during last iteration : -3.42965e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435412 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1029 +/- 0.002399 (0.002724%) b = -0.631667 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:35:33 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6160140927e+05 0.00e+00 6.23e+01 8.810287e+01 -6.316674e-01 2 6.3315897455e+03 -3.42e-03 6.23e-01 9.345526e+01 -6.315759e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.59 rel. change during last iteration : -3.41737e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435767 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189893 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4553 +/- 0.002401 (0.00257%) b = -0.631576 +/- 2.171 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:35:35 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6791364210e+05 0.00e+00 6.61e+01 9.345526e+01 -6.315759e-01 2 6.3314148886e+03 -3.42e-03 6.61e-01 9.882530e+01 -6.315977e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.41 rel. change during last iteration : -3.4163e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435761 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189887 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8253 +/- 0.002401 (0.00243%) b = -0.631598 +/- 2.171 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:35:37 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6129222624e+05 0.00e+00 6.99e+01 9.882530e+01 -6.315977e-01 2 6.3709587164e+03 -3.39e-03 6.99e-01 1.041767e+02 -6.316665e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6370.96 rel. change during last iteration : -3.38787e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437119 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191073 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.177 +/- 0.002409 (0.002312%) b = -0.631667 +/- 2.178 (344.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:35:39 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 24473 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 7.0908531659e+05 0.00e+00 7.37e+01 1.041767e+02 -6.316665e-01 2 4.7984905278e+03 -1.49e-02 7.37e-01 1.095412e+02 -6.304123e-01 After 2 iterations the fit converged. final sum of squares of residuals : 4798.49 rel. change during last iteration : -1.48664e-07 degrees of freedom (FIT_NDF) : 24471 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196089 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.541 +/- 0.00355 (0.003241%) b = -0.630412 +/- 3.497 (554.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.603 1.000 ******************************************************************************* Tue Feb 18 20:45:00 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33344 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 6.0064947805e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 6.2491492476e+03 -1.52e-03 7.07e-03 2.270422e+00 9.559365e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6249.15 rel. change during last iteration : -1.51538e-08 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.432927 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27042 +/- 0.002386 (0.1051%) b = 0.955937 +/- 2.159 (225.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.113 1.000 ******************************************************************************* Tue Feb 18 20:45:02 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.8279631861e+05 0.00e+00 1.61e+00 2.270422e+00 9.559365e-01 3 6.3269855562e+03 -2.67e-01 1.61e-03 7.682071e+00 -6.357008e-01 After 3 iterations the fit converged. final sum of squares of residuals : 6326.99 rel. change during last iteration : -2.67407e-06 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189755 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68207 +/- 0.0024 (0.03125%) b = -0.635701 +/- 2.17 (341.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Tue Feb 18 20:45:05 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6775803952e+05 0.00e+00 5.43e+00 7.682071e+00 -6.357008e-01 2 6.3258466806e+03 -3.45e-03 5.43e-02 1.305170e+01 -6.345858e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6325.85 rel. change during last iteration : -3.44581e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435569 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18972 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0517 +/- 0.0024 (0.01839%) b = -0.634586 +/- 2.169 (341.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Tue Feb 18 20:45:07 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6124820935e+05 0.00e+00 9.23e+00 1.305170e+01 -6.345858e-01 2 6.3260354676e+03 -3.47e-03 9.23e-02 1.840311e+01 -6.335443e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.04 rel. change during last iteration : -3.46546e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435576 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189726 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4031 +/- 0.0024 (0.01304%) b = -0.633544 +/- 2.17 (342.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Tue Feb 18 20:45:09 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796330259e+05 0.00e+00 1.30e+01 1.840311e+01 -6.335443e-01 2 6.3216593584e+03 -3.99e-03 1.30e-01 2.377332e+01 -6.314611e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.66 rel. change during last iteration : -3.99016e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435425 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189595 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7733 +/- 0.0024 (0.01009%) b = -0.631461 +/- 2.17 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:45:11 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6117012508e+05 0.00e+00 1.68e+01 2.377332e+01 -6.314611e-01 2 6.3234287205e+03 -3.45e-03 1.68e-01 2.912452e+01 -6.319647e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6323.43 rel. change during last iteration : -3.45103e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435486 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1245 +/- 0.0024 (0.00824%) b = -0.631965 +/- 2.17 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:45:13 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6803287598e+05 0.00e+00 2.06e+01 2.912452e+01 -6.319647e-01 2 6.3210414130e+03 -3.78e-03 2.06e-01 3.449493e+01 -6.309160e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.04 rel. change during last iteration : -3.78341e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435404 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189576 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4949 +/- 0.002399 (0.006956%) b = -0.630916 +/- 2.169 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:45:15 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112027633e+05 0.00e+00 2.44e+01 3.449493e+01 -6.309160e-01 2 6.3204194017e+03 -3.42e-03 2.44e-01 3.984600e+01 -6.311394e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.42 rel. change during last iteration : -3.41971e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435382 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189558 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.846 +/- 0.002399 (0.006021%) b = -0.631139 +/- 2.169 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:45:18 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796762164e+05 0.00e+00 2.82e+01 3.984600e+01 -6.311394e-01 2 6.3210098036e+03 -3.45e-03 2.82e-01 4.521623e+01 -6.313687e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.01 rel. change during last iteration : -3.45312e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435402 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2162 +/- 0.002399 (0.005307%) b = -0.631369 +/- 2.169 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:45:20 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6127180589e+05 0.00e+00 3.20e+01 4.521623e+01 -6.313687e-01 2 6.3205760875e+03 -3.40e-03 3.20e-01 5.056772e+01 -6.314636e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.58 rel. change during last iteration : -3.40414e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435388 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189562 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5677 +/- 0.002399 (0.004745%) b = -0.631464 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:45:22 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809552002e+05 0.00e+00 3.58e+01 5.056772e+01 -6.314636e-01 2 6.3245466446e+03 -3.44e-03 3.58e-01 5.593829e+01 -6.316223e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.55 rel. change during last iteration : -3.44415e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189681 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9383 +/- 0.0024 (0.004291%) b = -0.631622 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:45:24 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112422583e+05 0.00e+00 3.96e+01 5.593829e+01 -6.316223e-01 2 6.3211618307e+03 -3.40e-03 3.96e-01 6.128937e+01 -6.316853e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.16 rel. change during last iteration : -3.40096e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435408 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18958 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2894 +/- 0.002399 (0.003915%) b = -0.631685 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:45:26 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6801288087e+05 0.00e+00 4.33e+01 6.128937e+01 -6.316853e-01 2 6.3243601668e+03 -3.43e-03 4.33e-01 6.665972e+01 -6.317863e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.36 rel. change during last iteration : -3.4338e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435518 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189676 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6597 +/- 0.0024 (0.0036%) b = -0.631786 +/- 2.17 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:45:29 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6120677625e+05 0.00e+00 4.71e+01 6.665972e+01 -6.317863e-01 2 6.3201340707e+03 -3.41e-03 4.71e-01 7.201103e+01 -6.318651e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.13 rel. change during last iteration : -3.40769e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435372 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189549 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.011 +/- 0.002399 (0.003332%) b = -0.631865 +/- 2.169 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:45:31 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809888655e+05 0.00e+00 5.09e+01 7.201103e+01 -6.318651e-01 2 6.3260053804e+03 -3.45e-03 5.09e-01 7.738161e+01 -6.317433e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.01 rel. change during last iteration : -3.44812e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435574 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189725 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3816 +/- 0.0024 (0.003102%) b = -0.631743 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:45:33 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6119751579e+05 0.00e+00 5.47e+01 7.738161e+01 -6.317433e-01 2 6.3213298445e+03 -3.44e-03 5.47e-01 8.273289e+01 -6.316074e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.33 rel. change during last iteration : -3.43923e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189585 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7329 +/- 0.0024 (0.0029%) b = -0.631607 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:45:35 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6787964257e+05 0.00e+00 5.85e+01 8.273289e+01 -6.316074e-01 2 6.3212957358e+03 -3.43e-03 5.85e-01 8.810287e+01 -6.316674e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.3 rel. change during last iteration : -3.42965e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435412 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1029 +/- 0.002399 (0.002724%) b = -0.631667 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:45:37 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6160140927e+05 0.00e+00 6.23e+01 8.810287e+01 -6.316674e-01 2 6.3315897455e+03 -3.42e-03 6.23e-01 9.345526e+01 -6.315759e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.59 rel. change during last iteration : -3.41737e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435767 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189893 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4553 +/- 0.002401 (0.00257%) b = -0.631576 +/- 2.171 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:45:40 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6791364210e+05 0.00e+00 6.61e+01 9.345526e+01 -6.315759e-01 2 6.3314148886e+03 -3.42e-03 6.61e-01 9.882530e+01 -6.315977e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.41 rel. change during last iteration : -3.4163e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435761 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189887 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8253 +/- 0.002401 (0.00243%) b = -0.631598 +/- 2.171 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:45:42 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6129222624e+05 0.00e+00 6.99e+01 9.882530e+01 -6.315977e-01 2 6.3709587164e+03 -3.39e-03 6.99e-01 1.041767e+02 -6.316665e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6370.96 rel. change during last iteration : -3.38787e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437119 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191073 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.177 +/- 0.002409 (0.002312%) b = -0.631667 +/- 2.178 (344.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:45:44 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 24473 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 7.0908531659e+05 0.00e+00 7.37e+01 1.041767e+02 -6.316665e-01 2 4.7984905278e+03 -1.49e-02 7.37e-01 1.095412e+02 -6.304123e-01 After 2 iterations the fit converged. final sum of squares of residuals : 4798.49 rel. change during last iteration : -1.48664e-07 degrees of freedom (FIT_NDF) : 24471 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196089 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.541 +/- 0.00355 (0.003241%) b = -0.630412 +/- 3.497 (554.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.603 1.000 ******************************************************************************* Tue Feb 18 20:50:39 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33344 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 6.0064947805e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 6.2491492476e+03 -1.52e-03 7.07e-03 2.270422e+00 9.559365e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6249.15 rel. change during last iteration : -1.51538e-08 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.432927 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27042 +/- 0.002386 (0.1051%) b = 0.955937 +/- 2.159 (225.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.113 1.000 ******************************************************************************* Tue Feb 18 20:50:41 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.8279631861e+05 0.00e+00 1.61e+00 2.270422e+00 9.559365e-01 3 6.3269855562e+03 -2.67e-01 1.61e-03 7.682071e+00 -6.357008e-01 After 3 iterations the fit converged. final sum of squares of residuals : 6326.99 rel. change during last iteration : -2.67407e-06 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189755 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68207 +/- 0.0024 (0.03125%) b = -0.635701 +/- 2.17 (341.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Tue Feb 18 20:50:44 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6775803952e+05 0.00e+00 5.43e+00 7.682071e+00 -6.357008e-01 2 6.3258466806e+03 -3.45e-03 5.43e-02 1.305170e+01 -6.345858e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6325.85 rel. change during last iteration : -3.44581e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435569 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18972 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0517 +/- 0.0024 (0.01839%) b = -0.634586 +/- 2.169 (341.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Tue Feb 18 20:50:46 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6124820935e+05 0.00e+00 9.23e+00 1.305170e+01 -6.345858e-01 2 6.3260354676e+03 -3.47e-03 9.23e-02 1.840311e+01 -6.335443e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.04 rel. change during last iteration : -3.46546e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435576 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189726 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4031 +/- 0.0024 (0.01304%) b = -0.633544 +/- 2.17 (342.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Tue Feb 18 20:50:48 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796330259e+05 0.00e+00 1.30e+01 1.840311e+01 -6.335443e-01 2 6.3216593584e+03 -3.99e-03 1.30e-01 2.377332e+01 -6.314611e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.66 rel. change during last iteration : -3.99016e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435425 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189595 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7733 +/- 0.0024 (0.01009%) b = -0.631461 +/- 2.17 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:50:51 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6117012508e+05 0.00e+00 1.68e+01 2.377332e+01 -6.314611e-01 2 6.3234287205e+03 -3.45e-03 1.68e-01 2.912452e+01 -6.319647e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6323.43 rel. change during last iteration : -3.45103e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435486 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1245 +/- 0.0024 (0.00824%) b = -0.631965 +/- 2.17 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:50:53 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6803287598e+05 0.00e+00 2.06e+01 2.912452e+01 -6.319647e-01 2 6.3210414130e+03 -3.78e-03 2.06e-01 3.449493e+01 -6.309160e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.04 rel. change during last iteration : -3.78341e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435404 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189576 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4949 +/- 0.002399 (0.006956%) b = -0.630916 +/- 2.169 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:50:55 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112027633e+05 0.00e+00 2.44e+01 3.449493e+01 -6.309160e-01 2 6.3204194017e+03 -3.42e-03 2.44e-01 3.984600e+01 -6.311394e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.42 rel. change during last iteration : -3.41971e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435382 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189558 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.846 +/- 0.002399 (0.006021%) b = -0.631139 +/- 2.169 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:50:57 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796762164e+05 0.00e+00 2.82e+01 3.984600e+01 -6.311394e-01 2 6.3210098036e+03 -3.45e-03 2.82e-01 4.521623e+01 -6.313687e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.01 rel. change during last iteration : -3.45312e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435402 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2162 +/- 0.002399 (0.005307%) b = -0.631369 +/- 2.169 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:50:59 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6127180589e+05 0.00e+00 3.20e+01 4.521623e+01 -6.313687e-01 2 6.3205760875e+03 -3.40e-03 3.20e-01 5.056772e+01 -6.314636e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.58 rel. change during last iteration : -3.40414e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435388 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189562 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5677 +/- 0.002399 (0.004745%) b = -0.631464 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:51:02 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809552002e+05 0.00e+00 3.58e+01 5.056772e+01 -6.314636e-01 2 6.3245466446e+03 -3.44e-03 3.58e-01 5.593829e+01 -6.316223e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.55 rel. change during last iteration : -3.44415e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189681 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9383 +/- 0.0024 (0.004291%) b = -0.631622 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:51:04 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112422583e+05 0.00e+00 3.96e+01 5.593829e+01 -6.316223e-01 2 6.3211618307e+03 -3.40e-03 3.96e-01 6.128937e+01 -6.316853e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.16 rel. change during last iteration : -3.40096e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435408 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18958 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2894 +/- 0.002399 (0.003915%) b = -0.631685 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:51:06 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6801288087e+05 0.00e+00 4.33e+01 6.128937e+01 -6.316853e-01 2 6.3243601668e+03 -3.43e-03 4.33e-01 6.665972e+01 -6.317863e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.36 rel. change during last iteration : -3.4338e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435518 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189676 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6597 +/- 0.0024 (0.0036%) b = -0.631786 +/- 2.17 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:51:08 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6120677625e+05 0.00e+00 4.71e+01 6.665972e+01 -6.317863e-01 2 6.3201340707e+03 -3.41e-03 4.71e-01 7.201103e+01 -6.318651e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.13 rel. change during last iteration : -3.40769e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435372 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189549 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.011 +/- 0.002399 (0.003332%) b = -0.631865 +/- 2.169 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:51:10 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809888655e+05 0.00e+00 5.09e+01 7.201103e+01 -6.318651e-01 2 6.3260053804e+03 -3.45e-03 5.09e-01 7.738161e+01 -6.317433e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.01 rel. change during last iteration : -3.44812e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435574 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189725 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3816 +/- 0.0024 (0.003102%) b = -0.631743 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:51:12 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6119751579e+05 0.00e+00 5.47e+01 7.738161e+01 -6.317433e-01 2 6.3213298445e+03 -3.44e-03 5.47e-01 8.273289e+01 -6.316074e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.33 rel. change during last iteration : -3.43923e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189585 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7329 +/- 0.0024 (0.0029%) b = -0.631607 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:51:15 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6787964257e+05 0.00e+00 5.85e+01 8.273289e+01 -6.316074e-01 2 6.3212957358e+03 -3.43e-03 5.85e-01 8.810287e+01 -6.316674e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.3 rel. change during last iteration : -3.42965e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435412 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1029 +/- 0.002399 (0.002724%) b = -0.631667 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:51:17 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6160140927e+05 0.00e+00 6.23e+01 8.810287e+01 -6.316674e-01 2 6.3315897455e+03 -3.42e-03 6.23e-01 9.345526e+01 -6.315759e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.59 rel. change during last iteration : -3.41737e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435767 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189893 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4553 +/- 0.002401 (0.00257%) b = -0.631576 +/- 2.171 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:51:19 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6791364210e+05 0.00e+00 6.61e+01 9.345526e+01 -6.315759e-01 2 6.3314148886e+03 -3.42e-03 6.61e-01 9.882530e+01 -6.315977e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.41 rel. change during last iteration : -3.4163e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435761 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189887 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8253 +/- 0.002401 (0.00243%) b = -0.631598 +/- 2.171 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:51:21 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6129222624e+05 0.00e+00 6.99e+01 9.882530e+01 -6.315977e-01 2 6.3709587164e+03 -3.39e-03 6.99e-01 1.041767e+02 -6.316665e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6370.96 rel. change during last iteration : -3.38787e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437119 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191073 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.177 +/- 0.002409 (0.002312%) b = -0.631667 +/- 2.178 (344.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Tue Feb 18 20:51:23 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 24473 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 7.0908531659e+05 0.00e+00 7.37e+01 1.041767e+02 -6.316665e-01 2 4.7984905278e+03 -1.49e-02 7.37e-01 1.095412e+02 -6.304123e-01 After 2 iterations the fit converged. final sum of squares of residuals : 4798.49 rel. change during last iteration : -1.48664e-07 degrees of freedom (FIT_NDF) : 24471 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196089 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.541 +/- 0.00355 (0.003241%) b = -0.630412 +/- 3.497 (554.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.603 1.000 ******************************************************************************* Wed Feb 19 08:13:27 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33344 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 6.0064947805e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 6.2491492476e+03 -1.52e-03 7.07e-03 2.270422e+00 9.559365e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6249.15 rel. change during last iteration : -1.51538e-08 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.432927 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27042 +/- 0.002386 (0.1051%) b = 0.955937 +/- 2.159 (225.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.113 1.000 ******************************************************************************* Wed Feb 19 08:13:29 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.8279631861e+05 0.00e+00 1.61e+00 2.270422e+00 9.559365e-01 3 6.3269855562e+03 -2.67e-01 1.61e-03 7.682071e+00 -6.357008e-01 After 3 iterations the fit converged. final sum of squares of residuals : 6326.99 rel. change during last iteration : -2.67407e-06 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189755 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68207 +/- 0.0024 (0.03125%) b = -0.635701 +/- 2.17 (341.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Wed Feb 19 08:13:32 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6775803952e+05 0.00e+00 5.43e+00 7.682071e+00 -6.357008e-01 2 6.3258466806e+03 -3.45e-03 5.43e-02 1.305170e+01 -6.345858e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6325.85 rel. change during last iteration : -3.44581e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435569 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18972 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0517 +/- 0.0024 (0.01839%) b = -0.634586 +/- 2.169 (341.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Wed Feb 19 08:13:34 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6124820935e+05 0.00e+00 9.23e+00 1.305170e+01 -6.345858e-01 2 6.3260354676e+03 -3.47e-03 9.23e-02 1.840311e+01 -6.335443e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.04 rel. change during last iteration : -3.46546e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435576 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189726 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4031 +/- 0.0024 (0.01304%) b = -0.633544 +/- 2.17 (342.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Wed Feb 19 08:13:36 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796330259e+05 0.00e+00 1.30e+01 1.840311e+01 -6.335443e-01 2 6.3216593584e+03 -3.99e-03 1.30e-01 2.377332e+01 -6.314611e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.66 rel. change during last iteration : -3.99016e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435425 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189595 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7733 +/- 0.0024 (0.01009%) b = -0.631461 +/- 2.17 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:13:38 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6117012508e+05 0.00e+00 1.68e+01 2.377332e+01 -6.314611e-01 2 6.3234287205e+03 -3.45e-03 1.68e-01 2.912452e+01 -6.319647e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6323.43 rel. change during last iteration : -3.45103e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435486 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1245 +/- 0.0024 (0.00824%) b = -0.631965 +/- 2.17 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:13:41 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6803287598e+05 0.00e+00 2.06e+01 2.912452e+01 -6.319647e-01 2 6.3210414130e+03 -3.78e-03 2.06e-01 3.449493e+01 -6.309160e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.04 rel. change during last iteration : -3.78341e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435404 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189576 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4949 +/- 0.002399 (0.006956%) b = -0.630916 +/- 2.169 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:13:43 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112027633e+05 0.00e+00 2.44e+01 3.449493e+01 -6.309160e-01 2 6.3204194017e+03 -3.42e-03 2.44e-01 3.984600e+01 -6.311394e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.42 rel. change during last iteration : -3.41971e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435382 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189558 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.846 +/- 0.002399 (0.006021%) b = -0.631139 +/- 2.169 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:13:45 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796762164e+05 0.00e+00 2.82e+01 3.984600e+01 -6.311394e-01 2 6.3210098036e+03 -3.45e-03 2.82e-01 4.521623e+01 -6.313687e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.01 rel. change during last iteration : -3.45312e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435402 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2162 +/- 0.002399 (0.005307%) b = -0.631369 +/- 2.169 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:13:47 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6127180589e+05 0.00e+00 3.20e+01 4.521623e+01 -6.313687e-01 2 6.3205760875e+03 -3.40e-03 3.20e-01 5.056772e+01 -6.314636e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.58 rel. change during last iteration : -3.40414e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435388 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189562 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5677 +/- 0.002399 (0.004745%) b = -0.631464 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:13:49 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809552002e+05 0.00e+00 3.58e+01 5.056772e+01 -6.314636e-01 2 6.3245466446e+03 -3.44e-03 3.58e-01 5.593829e+01 -6.316223e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.55 rel. change during last iteration : -3.44415e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189681 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9383 +/- 0.0024 (0.004291%) b = -0.631622 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:13:52 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112422583e+05 0.00e+00 3.96e+01 5.593829e+01 -6.316223e-01 2 6.3211618307e+03 -3.40e-03 3.96e-01 6.128937e+01 -6.316853e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.16 rel. change during last iteration : -3.40096e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435408 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18958 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2894 +/- 0.002399 (0.003915%) b = -0.631685 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:13:54 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6801288087e+05 0.00e+00 4.33e+01 6.128937e+01 -6.316853e-01 2 6.3243601668e+03 -3.43e-03 4.33e-01 6.665972e+01 -6.317863e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.36 rel. change during last iteration : -3.4338e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435518 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189676 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6597 +/- 0.0024 (0.0036%) b = -0.631786 +/- 2.17 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:13:56 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6120677625e+05 0.00e+00 4.71e+01 6.665972e+01 -6.317863e-01 2 6.3201340707e+03 -3.41e-03 4.71e-01 7.201103e+01 -6.318651e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.13 rel. change during last iteration : -3.40769e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435372 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189549 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.011 +/- 0.002399 (0.003332%) b = -0.631865 +/- 2.169 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:13:58 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809888655e+05 0.00e+00 5.09e+01 7.201103e+01 -6.318651e-01 2 6.3260053804e+03 -3.45e-03 5.09e-01 7.738161e+01 -6.317433e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.01 rel. change during last iteration : -3.44812e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435574 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189725 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3816 +/- 0.0024 (0.003102%) b = -0.631743 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:14:00 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6119751579e+05 0.00e+00 5.47e+01 7.738161e+01 -6.317433e-01 2 6.3213298445e+03 -3.44e-03 5.47e-01 8.273289e+01 -6.316074e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.33 rel. change during last iteration : -3.43923e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189585 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7329 +/- 0.0024 (0.0029%) b = -0.631607 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:14:02 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6787964257e+05 0.00e+00 5.85e+01 8.273289e+01 -6.316074e-01 2 6.3212957358e+03 -3.43e-03 5.85e-01 8.810287e+01 -6.316674e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.3 rel. change during last iteration : -3.42965e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435412 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1029 +/- 0.002399 (0.002724%) b = -0.631667 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:14:05 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6160140927e+05 0.00e+00 6.23e+01 8.810287e+01 -6.316674e-01 2 6.3315897455e+03 -3.42e-03 6.23e-01 9.345526e+01 -6.315759e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.59 rel. change during last iteration : -3.41737e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435767 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189893 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4553 +/- 0.002401 (0.00257%) b = -0.631576 +/- 2.171 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:14:07 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6791364210e+05 0.00e+00 6.61e+01 9.345526e+01 -6.315759e-01 2 6.3314148886e+03 -3.42e-03 6.61e-01 9.882530e+01 -6.315977e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.41 rel. change during last iteration : -3.4163e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435761 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189887 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8253 +/- 0.002401 (0.00243%) b = -0.631598 +/- 2.171 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:14:09 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6129222624e+05 0.00e+00 6.99e+01 9.882530e+01 -6.315977e-01 2 6.3709587164e+03 -3.39e-03 6.99e-01 1.041767e+02 -6.316665e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6370.96 rel. change during last iteration : -3.38787e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437119 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191073 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.177 +/- 0.002409 (0.002312%) b = -0.631667 +/- 2.178 (344.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:14:11 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 24473 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 7.0908531659e+05 0.00e+00 7.37e+01 1.041767e+02 -6.316665e-01 2 4.7984905278e+03 -1.49e-02 7.37e-01 1.095412e+02 -6.304123e-01 After 2 iterations the fit converged. final sum of squares of residuals : 4798.49 rel. change during last iteration : -1.48664e-07 degrees of freedom (FIT_NDF) : 24471 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196089 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.541 +/- 0.00355 (0.003241%) b = -0.630412 +/- 3.497 (554.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.603 1.000 ******************************************************************************* Wed Feb 19 08:50:37 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33344 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 6.0064947805e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 6.2491492476e+03 -1.52e-03 7.07e-03 2.270422e+00 9.559365e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6249.15 rel. change during last iteration : -1.51538e-08 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.432927 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27042 +/- 0.002386 (0.1051%) b = 0.955937 +/- 2.159 (225.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.113 1.000 ******************************************************************************* Wed Feb 19 08:50:39 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.8279631861e+05 0.00e+00 1.61e+00 2.270422e+00 9.559365e-01 3 6.3269855562e+03 -2.67e-01 1.61e-03 7.682071e+00 -6.357008e-01 After 3 iterations the fit converged. final sum of squares of residuals : 6326.99 rel. change during last iteration : -2.67407e-06 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189755 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68207 +/- 0.0024 (0.03125%) b = -0.635701 +/- 2.17 (341.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Wed Feb 19 08:50:42 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6775803952e+05 0.00e+00 5.43e+00 7.682071e+00 -6.357008e-01 2 6.3258466806e+03 -3.45e-03 5.43e-02 1.305170e+01 -6.345858e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6325.85 rel. change during last iteration : -3.44581e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435569 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18972 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0517 +/- 0.0024 (0.01839%) b = -0.634586 +/- 2.169 (341.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Wed Feb 19 08:50:44 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6124820935e+05 0.00e+00 9.23e+00 1.305170e+01 -6.345858e-01 2 6.3260354676e+03 -3.47e-03 9.23e-02 1.840311e+01 -6.335443e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.04 rel. change during last iteration : -3.46546e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435576 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189726 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4031 +/- 0.0024 (0.01304%) b = -0.633544 +/- 2.17 (342.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Wed Feb 19 08:50:46 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796330259e+05 0.00e+00 1.30e+01 1.840311e+01 -6.335443e-01 2 6.3216593584e+03 -3.99e-03 1.30e-01 2.377332e+01 -6.314611e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.66 rel. change during last iteration : -3.99016e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435425 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189595 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7733 +/- 0.0024 (0.01009%) b = -0.631461 +/- 2.17 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:50:49 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6117012508e+05 0.00e+00 1.68e+01 2.377332e+01 -6.314611e-01 2 6.3234287205e+03 -3.45e-03 1.68e-01 2.912452e+01 -6.319647e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6323.43 rel. change during last iteration : -3.45103e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435486 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1245 +/- 0.0024 (0.00824%) b = -0.631965 +/- 2.17 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:50:51 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6803287598e+05 0.00e+00 2.06e+01 2.912452e+01 -6.319647e-01 2 6.3210414130e+03 -3.78e-03 2.06e-01 3.449493e+01 -6.309160e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.04 rel. change during last iteration : -3.78341e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435404 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189576 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4949 +/- 0.002399 (0.006956%) b = -0.630916 +/- 2.169 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:50:53 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112027633e+05 0.00e+00 2.44e+01 3.449493e+01 -6.309160e-01 2 6.3204194017e+03 -3.42e-03 2.44e-01 3.984600e+01 -6.311394e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.42 rel. change during last iteration : -3.41971e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435382 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189558 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.846 +/- 0.002399 (0.006021%) b = -0.631139 +/- 2.169 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:50:55 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796762164e+05 0.00e+00 2.82e+01 3.984600e+01 -6.311394e-01 2 6.3210098036e+03 -3.45e-03 2.82e-01 4.521623e+01 -6.313687e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.01 rel. change during last iteration : -3.45312e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435402 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2162 +/- 0.002399 (0.005307%) b = -0.631369 +/- 2.169 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:50:57 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6127180589e+05 0.00e+00 3.20e+01 4.521623e+01 -6.313687e-01 2 6.3205760875e+03 -3.40e-03 3.20e-01 5.056772e+01 -6.314636e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.58 rel. change during last iteration : -3.40414e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435388 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189562 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5677 +/- 0.002399 (0.004745%) b = -0.631464 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:51:00 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809552002e+05 0.00e+00 3.58e+01 5.056772e+01 -6.314636e-01 2 6.3245466446e+03 -3.44e-03 3.58e-01 5.593829e+01 -6.316223e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.55 rel. change during last iteration : -3.44415e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189681 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9383 +/- 0.0024 (0.004291%) b = -0.631622 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:51:02 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112422583e+05 0.00e+00 3.96e+01 5.593829e+01 -6.316223e-01 2 6.3211618307e+03 -3.40e-03 3.96e-01 6.128937e+01 -6.316853e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.16 rel. change during last iteration : -3.40096e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435408 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18958 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2894 +/- 0.002399 (0.003915%) b = -0.631685 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:51:04 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6801288087e+05 0.00e+00 4.33e+01 6.128937e+01 -6.316853e-01 2 6.3243601668e+03 -3.43e-03 4.33e-01 6.665972e+01 -6.317863e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.36 rel. change during last iteration : -3.4338e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435518 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189676 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6597 +/- 0.0024 (0.0036%) b = -0.631786 +/- 2.17 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:51:06 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6120677625e+05 0.00e+00 4.71e+01 6.665972e+01 -6.317863e-01 2 6.3201340707e+03 -3.41e-03 4.71e-01 7.201103e+01 -6.318651e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.13 rel. change during last iteration : -3.40769e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435372 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189549 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.011 +/- 0.002399 (0.003332%) b = -0.631865 +/- 2.169 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:51:08 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809888655e+05 0.00e+00 5.09e+01 7.201103e+01 -6.318651e-01 2 6.3260053804e+03 -3.45e-03 5.09e-01 7.738161e+01 -6.317433e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.01 rel. change during last iteration : -3.44812e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435574 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189725 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3816 +/- 0.0024 (0.003102%) b = -0.631743 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:51:10 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6119751579e+05 0.00e+00 5.47e+01 7.738161e+01 -6.317433e-01 2 6.3213298445e+03 -3.44e-03 5.47e-01 8.273289e+01 -6.316074e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.33 rel. change during last iteration : -3.43923e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189585 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7329 +/- 0.0024 (0.0029%) b = -0.631607 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:51:13 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6787964257e+05 0.00e+00 5.85e+01 8.273289e+01 -6.316074e-01 2 6.3212957358e+03 -3.43e-03 5.85e-01 8.810287e+01 -6.316674e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.3 rel. change during last iteration : -3.42965e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435412 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1029 +/- 0.002399 (0.002724%) b = -0.631667 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:51:15 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6160140927e+05 0.00e+00 6.23e+01 8.810287e+01 -6.316674e-01 2 6.3315897455e+03 -3.42e-03 6.23e-01 9.345526e+01 -6.315759e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.59 rel. change during last iteration : -3.41737e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435767 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189893 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4553 +/- 0.002401 (0.00257%) b = -0.631576 +/- 2.171 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:51:17 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6791364210e+05 0.00e+00 6.61e+01 9.345526e+01 -6.315759e-01 2 6.3314148886e+03 -3.42e-03 6.61e-01 9.882530e+01 -6.315977e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.41 rel. change during last iteration : -3.4163e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435761 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189887 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8253 +/- 0.002401 (0.00243%) b = -0.631598 +/- 2.171 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:51:19 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6129222624e+05 0.00e+00 6.99e+01 9.882530e+01 -6.315977e-01 2 6.3709587164e+03 -3.39e-03 6.99e-01 1.041767e+02 -6.316665e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6370.96 rel. change during last iteration : -3.38787e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437119 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191073 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.177 +/- 0.002409 (0.002312%) b = -0.631667 +/- 2.178 (344.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:51:22 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 24473 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 7.0908531659e+05 0.00e+00 7.37e+01 1.041767e+02 -6.316665e-01 2 4.7984905278e+03 -1.49e-02 7.37e-01 1.095412e+02 -6.304123e-01 After 2 iterations the fit converged. final sum of squares of residuals : 4798.49 rel. change during last iteration : -1.48664e-07 degrees of freedom (FIT_NDF) : 24471 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196089 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.541 +/- 0.00355 (0.003241%) b = -0.630412 +/- 3.497 (554.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.603 1.000 ******************************************************************************* Wed Feb 19 08:52:31 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33344 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 6.0064947805e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 6.2491492476e+03 -1.52e-03 7.07e-03 2.270422e+00 9.559365e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6249.15 rel. change during last iteration : -1.51538e-08 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.432927 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27042 +/- 0.002386 (0.1051%) b = 0.955937 +/- 2.159 (225.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.113 1.000 ******************************************************************************* Wed Feb 19 08:52:34 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.8279631861e+05 0.00e+00 1.61e+00 2.270422e+00 9.559365e-01 3 6.3269855562e+03 -2.67e-01 1.61e-03 7.682071e+00 -6.357008e-01 After 3 iterations the fit converged. final sum of squares of residuals : 6326.99 rel. change during last iteration : -2.67407e-06 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189755 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68207 +/- 0.0024 (0.03125%) b = -0.635701 +/- 2.17 (341.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Wed Feb 19 08:52:36 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6775803952e+05 0.00e+00 5.43e+00 7.682071e+00 -6.357008e-01 2 6.3258466806e+03 -3.45e-03 5.43e-02 1.305170e+01 -6.345858e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6325.85 rel. change during last iteration : -3.44581e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435569 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18972 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0517 +/- 0.0024 (0.01839%) b = -0.634586 +/- 2.169 (341.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Wed Feb 19 08:52:38 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6124820935e+05 0.00e+00 9.23e+00 1.305170e+01 -6.345858e-01 2 6.3260354676e+03 -3.47e-03 9.23e-02 1.840311e+01 -6.335443e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.04 rel. change during last iteration : -3.46546e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435576 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189726 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4031 +/- 0.0024 (0.01304%) b = -0.633544 +/- 2.17 (342.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Wed Feb 19 08:52:41 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796330259e+05 0.00e+00 1.30e+01 1.840311e+01 -6.335443e-01 2 6.3216593584e+03 -3.99e-03 1.30e-01 2.377332e+01 -6.314611e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.66 rel. change during last iteration : -3.99016e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435425 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189595 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7733 +/- 0.0024 (0.01009%) b = -0.631461 +/- 2.17 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:52:43 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6117012508e+05 0.00e+00 1.68e+01 2.377332e+01 -6.314611e-01 2 6.3234287205e+03 -3.45e-03 1.68e-01 2.912452e+01 -6.319647e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6323.43 rel. change during last iteration : -3.45103e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435486 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1245 +/- 0.0024 (0.00824%) b = -0.631965 +/- 2.17 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:52:45 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6803287598e+05 0.00e+00 2.06e+01 2.912452e+01 -6.319647e-01 2 6.3210414130e+03 -3.78e-03 2.06e-01 3.449493e+01 -6.309160e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.04 rel. change during last iteration : -3.78341e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435404 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189576 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4949 +/- 0.002399 (0.006956%) b = -0.630916 +/- 2.169 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:52:47 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112027633e+05 0.00e+00 2.44e+01 3.449493e+01 -6.309160e-01 2 6.3204194017e+03 -3.42e-03 2.44e-01 3.984600e+01 -6.311394e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.42 rel. change during last iteration : -3.41971e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435382 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189558 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.846 +/- 0.002399 (0.006021%) b = -0.631139 +/- 2.169 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:52:50 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6796762164e+05 0.00e+00 2.82e+01 3.984600e+01 -6.311394e-01 2 6.3210098036e+03 -3.45e-03 2.82e-01 4.521623e+01 -6.313687e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.01 rel. change during last iteration : -3.45312e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435402 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2162 +/- 0.002399 (0.005307%) b = -0.631369 +/- 2.169 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:52:52 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6127180589e+05 0.00e+00 3.20e+01 4.521623e+01 -6.313687e-01 2 6.3205760875e+03 -3.40e-03 3.20e-01 5.056772e+01 -6.314636e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.58 rel. change during last iteration : -3.40414e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435388 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189562 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5677 +/- 0.002399 (0.004745%) b = -0.631464 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:52:54 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809552002e+05 0.00e+00 3.58e+01 5.056772e+01 -6.314636e-01 2 6.3245466446e+03 -3.44e-03 3.58e-01 5.593829e+01 -6.316223e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.55 rel. change during last iteration : -3.44415e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435524 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189681 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9383 +/- 0.0024 (0.004291%) b = -0.631622 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:52:56 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6112422583e+05 0.00e+00 3.96e+01 5.593829e+01 -6.316223e-01 2 6.3211618307e+03 -3.40e-03 3.96e-01 6.128937e+01 -6.316853e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.16 rel. change during last iteration : -3.40096e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435408 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18958 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2894 +/- 0.002399 (0.003915%) b = -0.631685 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:52:58 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6801288087e+05 0.00e+00 4.33e+01 6.128937e+01 -6.316853e-01 2 6.3243601668e+03 -3.43e-03 4.33e-01 6.665972e+01 -6.317863e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6324.36 rel. change during last iteration : -3.4338e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435518 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189676 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6597 +/- 0.0024 (0.0036%) b = -0.631786 +/- 2.17 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:53:01 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6120677625e+05 0.00e+00 4.71e+01 6.665972e+01 -6.317863e-01 2 6.3201340707e+03 -3.41e-03 4.71e-01 7.201103e+01 -6.318651e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6320.13 rel. change during last iteration : -3.40769e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435372 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189549 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.011 +/- 0.002399 (0.003332%) b = -0.631865 +/- 2.169 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:53:03 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6809888655e+05 0.00e+00 5.09e+01 7.201103e+01 -6.318651e-01 2 6.3260053804e+03 -3.45e-03 5.09e-01 7.738161e+01 -6.317433e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6326.01 rel. change during last iteration : -3.44812e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435574 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189725 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3816 +/- 0.0024 (0.003102%) b = -0.631743 +/- 2.17 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:53:05 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6119751579e+05 0.00e+00 5.47e+01 7.738161e+01 -6.317433e-01 2 6.3213298445e+03 -3.44e-03 5.47e-01 8.273289e+01 -6.316074e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.33 rel. change during last iteration : -3.43923e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189585 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7329 +/- 0.0024 (0.0029%) b = -0.631607 +/- 2.169 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:53:07 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6787964257e+05 0.00e+00 5.85e+01 8.273289e+01 -6.316074e-01 2 6.3212957358e+03 -3.43e-03 5.85e-01 8.810287e+01 -6.316674e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6321.3 rel. change during last iteration : -3.42965e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435412 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1029 +/- 0.002399 (0.002724%) b = -0.631667 +/- 2.169 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:53:10 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6160140927e+05 0.00e+00 6.23e+01 8.810287e+01 -6.316674e-01 2 6.3315897455e+03 -3.42e-03 6.23e-01 9.345526e+01 -6.315759e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.59 rel. change during last iteration : -3.41737e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435767 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189893 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4553 +/- 0.002401 (0.00257%) b = -0.631576 +/- 2.171 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:53:12 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6791364210e+05 0.00e+00 6.61e+01 9.345526e+01 -6.315759e-01 2 6.3314148886e+03 -3.42e-03 6.61e-01 9.882530e+01 -6.315977e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6331.41 rel. change during last iteration : -3.4163e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435761 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189887 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8253 +/- 0.002401 (0.00243%) b = -0.631598 +/- 2.171 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:53:14 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 33345 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 9.6129222624e+05 0.00e+00 6.99e+01 9.882530e+01 -6.315977e-01 2 6.3709587164e+03 -3.39e-03 6.99e-01 1.041767e+02 -6.316665e-01 After 2 iterations the fit converged. final sum of squares of residuals : 6370.96 rel. change during last iteration : -3.38787e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437119 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191073 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.177 +/- 0.002409 (0.002312%) b = -0.631667 +/- 2.178 (344.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Wed Feb 19 08:53:16 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 24473 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 7.0908531659e+05 0.00e+00 7.37e+01 1.041767e+02 -6.316665e-01 2 4.7984905278e+03 -1.49e-02 7.37e-01 1.095412e+02 -6.304123e-01 After 2 iterations the fit converged. final sum of squares of residuals : 4798.49 rel. change during last iteration : -1.48664e-07 degrees of freedom (FIT_NDF) : 24471 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442819 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196089 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.541 +/- 0.00355 (0.003241%) b = -0.630412 +/- 3.497 (554.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.603 1.000 ******************************************************************************* Thu Feb 27 20:38:47 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33344 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 1.7799608333e+11 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 2 6.2491492466e+09 -6.37e-04 7.11e-03 2.270422e+03 9.508955e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.24915e+09 rel. change during last iteration : -6.37058e-09 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 432.927 variance of residuals (reduced chisquare) = WSSR/ndf : 187426 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2270.42 +/- 2.386 (0.1051%) b = 9.50896 +/- 21.59 (227%) correlation matrix of the fit parameters: a b a 1.000 b -0.113 1.000 ******************************************************************************* Thu Feb 27 20:38:49 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 1.5258273060e+05 0.00e+00 1.03e+00 1.000000e+00 1.000000e+00 1.000000e+00 2 4.0080602350e+02 -2.09e-02 1.03e-02 1.778894e-02 -6.176015e-04 -7.043818e-03 After 2 iterations the fit converged. final sum of squares of residuals : 400.806 rel. change during last iteration : -2.08626e-07 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109641 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120211 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0177889 +/- 0.0007751 (4.357%) bb = -0.000617601 +/- 0.0006893 (111.6%) cc = -0.00704382 +/- 0.0006452 (9.16%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.004 1.000 cc -0.632 0.028 1.000 ******************************************************************************* Thu Feb 27 20:38:52 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.8279631493e+11 0.00e+00 1.61e+03 2.270422e+03 9.508955e+00 3 6.3269855562e+09 -2.69e-01 1.61e+00 7.682071e+03 -6.356389e+00 After 3 iterations the fit converged. final sum of squares of residuals : 6.32699e+09 rel. change during last iteration : -2.6912e-06 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.608 variance of residuals (reduced chisquare) = WSSR/ndf : 189755 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7682.07 +/- 2.4 (0.03125%) b = -6.35639 +/- 21.7 (341.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Thu Feb 27 20:38:55 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.2192323659e+02 0.00e+00 1.87e-02 1.778894e-02 -6.176015e-04 -7.043818e-03 2 4.0298018844e+02 -5.16e-03 1.87e-04 1.203533e-02 7.147507e-04 1.825200e-04 After 2 iterations the fit converged. final sum of squares of residuals : 402.98 rel. change during last iteration : -5.15847e-08 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109938 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120863 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0120353 +/- 0.0007798 (6.48%) bb = 0.000714751 +/- 0.0004129 (57.77%) cc = 0.00018252 +/- 0.0002136 (117%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.066 1.000 cc -0.621 0.314 1.000 ******************************************************************************* Thu Feb 27 20:38:58 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6775803952e+11 0.00e+00 5.43e+03 7.682071e+03 -6.356389e+00 2 6.3258466805e+09 -3.45e-03 5.43e+01 1.305170e+04 -6.345274e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.32585e+09 rel. change during last iteration : -3.44563e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.569 variance of residuals (reduced chisquare) = WSSR/ndf : 189720 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13051.7 +/- 2.4 (0.01839%) b = -6.34527 +/- 21.69 (341.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Thu Feb 27 20:39:00 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0286369903e+02 0.00e+00 6.97e-03 1.203533e-02 7.147507e-04 1.825200e-04 2 4.0177767591e+02 -4.43e-02 6.97e-05 9.420901e-03 4.702180e-03 3.068926e-03 After 2 iterations the fit converged. final sum of squares of residuals : 401.778 rel. change during last iteration : -4.4346e-07 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109773 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120502 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0094209 +/- 0.0007573 (8.039%) bb = 0.00470218 +/- 0.0005675 (12.07%) cc = 0.00306893 +/- 0.0003265 (10.64%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.008 1.000 cc -0.540 0.448 1.000 ******************************************************************************* Thu Feb 27 20:39:03 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6124820935e+11 0.00e+00 9.23e+03 1.305170e+04 -6.345274e+00 2 6.3260354673e+09 -3.47e-03 9.23e+01 1.840311e+04 -6.334871e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.32604e+09 rel. change during last iteration : -3.4653e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.576 variance of residuals (reduced chisquare) = WSSR/ndf : 189726 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18403.1 +/- 2.4 (0.01304%) b = -6.33487 +/- 21.7 (342.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.111 1.000 ******************************************************************************* Thu Feb 27 20:39:05 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0766529872e+02 0.00e+00 9.27e-03 9.420901e-03 4.702180e-03 3.068926e-03 2 4.0267789274e+02 -4.73e-06 9.27e-05 1.388945e-02 -9.731270e-04 -7.558995e-04 After 2 iterations the fit converged. final sum of squares of residuals : 402.678 rel. change during last iteration : -4.73454e-11 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109896 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120772 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0138894 +/- 0.0008007 (5.764%) bb = -0.000973127 +/- 0.000408 (41.92%) cc = -0.000755899 +/- 0.0002322 (30.72%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.052 1.000 cc -0.653 0.221 1.000 ******************************************************************************* Thu Feb 27 20:39:08 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6796330258e+11 0.00e+00 1.30e+04 1.840311e+04 -6.334871e+00 2 6.3216593574e+09 -3.99e-03 1.30e+02 2.377332e+04 -6.314049e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.32166e+09 rel. change during last iteration : -3.98976e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.425 variance of residuals (reduced chisquare) = WSSR/ndf : 189595 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23773.3 +/- 2.4 (0.01009%) b = -6.31405 +/- 21.7 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Thu Feb 27 20:39:11 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0323797136e+02 0.00e+00 8.14e-03 1.388945e-02 -9.731270e-04 -7.558995e-04 2 4.0188795896e+02 -2.14e-04 8.14e-05 8.982126e-03 3.987607e-05 2.072663e-03 After 2 iterations the fit converged. final sum of squares of residuals : 401.888 rel. change during last iteration : -2.13684e-09 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109788 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120535 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00898213 +/- 0.0007376 (8.211%) bb = 3.98761e-05 +/- 0.0004854 (1217%) cc = 0.00207266 +/- 0.000268 (12.93%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.033 1.000 cc -0.572 0.217 1.000 ******************************************************************************* Thu Feb 27 20:39:14 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6117012508e+11 0.00e+00 1.68e+04 2.377332e+04 -6.314049e+00 2 6.3234287209e+09 -3.45e-03 1.68e+02 2.912452e+04 -6.319087e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.32343e+09 rel. change during last iteration : -3.45109e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.486 variance of residuals (reduced chisquare) = WSSR/ndf : 189648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29124.5 +/- 2.4 (0.00824%) b = -6.31909 +/- 21.7 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Thu Feb 27 20:39:16 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0396467829e+02 0.00e+00 6.67e-03 8.982126e-03 3.987607e-05 2.072663e-03 3 4.0274108517e+02 -1.74e-05 6.67e-06 1.244115e-02 9.153376e-04 4.127600e-05 After 3 iterations the fit converged. final sum of squares of residuals : 402.741 rel. change during last iteration : -1.7414e-10 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109905 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120791 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0124411 +/- 0.0007882 (6.335%) bb = 0.000915338 +/- 0.0004161 (45.45%) cc = 4.1276e-05 +/- 0.0002311 (559.8%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.076 1.000 cc -0.640 0.248 1.000 ******************************************************************************* Thu Feb 27 20:39:19 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6803287598e+11 0.00e+00 2.06e+04 2.912452e+04 -6.319087e+00 2 6.3210414117e+09 -3.78e-03 2.06e+02 3.449493e+04 -6.308604e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.32104e+09 rel. change during last iteration : -3.7832e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.404 variance of residuals (reduced chisquare) = WSSR/ndf : 189576 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34494.9 +/- 2.399 (0.006956%) b = -6.3086 +/- 21.69 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Thu Feb 27 20:39:22 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0294313169e+02 0.00e+00 7.23e-03 1.244115e-02 9.153376e-04 4.127600e-05 2 4.0292912063e+02 -2.45e-02 7.23e-05 1.195458e-02 6.514312e-04 2.156648e-04 After 2 iterations the fit converged. final sum of squares of residuals : 402.929 rel. change during last iteration : -2.45488e-07 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109931 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120847 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0119546 +/- 0.0007863 (6.577%) bb = 0.000651431 +/- 0.0004122 (63.28%) cc = 0.000215665 +/- 0.0002328 (108%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.050 1.000 cc -0.642 0.151 1.000 ******************************************************************************* Thu Feb 27 20:39:25 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6112027633e+11 0.00e+00 2.44e+04 3.449493e+04 -6.308604e+00 2 6.3204194021e+09 -3.42e-03 2.44e+02 3.984600e+04 -6.310839e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.32042e+09 rel. change during last iteration : -3.41973e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.382 variance of residuals (reduced chisquare) = WSSR/ndf : 189558 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39846 +/- 2.399 (0.006021%) b = -6.31084 +/- 21.69 (343.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Thu Feb 27 20:39:27 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0277087983e+02 0.00e+00 6.93e-03 1.195458e-02 6.514312e-04 2.156648e-04 2 4.0257622500e+02 -1.07e-03 6.93e-05 1.021750e-02 -5.705642e-05 1.108386e-03 After 2 iterations the fit converged. final sum of squares of residuals : 402.576 rel. change during last iteration : -1.06631e-08 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109882 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120741 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0102175 +/- 0.0007675 (7.512%) bb = -5.70564e-05 +/- 0.0004321 (757.3%) cc = 0.00110839 +/- 0.0002455 (22.15%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.017 1.000 cc -0.621 0.017 1.000 ******************************************************************************* Thu Feb 27 20:39:30 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6796762164e+11 0.00e+00 2.82e+04 3.984600e+04 -6.310839e+00 2 6.3210098041e+09 -3.45e-03 2.82e+02 4.521623e+04 -6.313133e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.32101e+09 rel. change during last iteration : -3.45315e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.402 variance of residuals (reduced chisquare) = WSSR/ndf : 189575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45216.2 +/- 2.399 (0.005307%) b = -6.31313 +/- 21.69 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Thu Feb 27 20:39:32 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0241965525e+02 0.00e+00 6.11e-03 1.021750e-02 -5.705642e-05 1.108386e-03 3 4.0218384066e+02 -6.87e-06 6.11e-06 9.582854e-03 -1.732278e-03 2.016080e-03 After 3 iterations the fit converged. final sum of squares of residuals : 402.184 rel. change during last iteration : -6.86657e-11 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109829 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120624 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00958285 +/- 0.0007495 (7.821%) bb = -0.00173228 +/- 0.0004987 (28.79%) cc = 0.00201608 +/- 0.0003043 (15.09%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.021 1.000 cc -0.593 -0.076 1.000 ******************************************************************************* Thu Feb 27 20:39:36 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6127180589e+11 0.00e+00 3.20e+04 4.521623e+04 -6.313133e+00 2 6.3205760877e+09 -3.40e-03 3.20e+02 5.056772e+04 -6.314082e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.32058e+09 rel. change during last iteration : -3.40416e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.388 variance of residuals (reduced chisquare) = WSSR/ndf : 189562 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50567.7 +/- 2.399 (0.004745%) b = -6.31408 +/- 21.69 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Thu Feb 27 20:39:38 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0402076728e+02 0.00e+00 6.75e-03 9.582854e-03 -1.732278e-03 2.016080e-03 2 4.0280148996e+02 -2.16e-06 6.75e-05 1.336968e-02 -8.485692e-04 -4.769571e-04 After 2 iterations the fit converged. final sum of squares of residuals : 402.801 rel. change during last iteration : -2.16185e-11 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109913 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120809 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0133697 +/- 0.0007869 (5.886%) bb = -0.000848569 +/- 0.000428 (50.44%) cc = -0.000476957 +/- 0.0002551 (53.49%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.010 1.000 cc -0.643 -0.068 1.000 ******************************************************************************* Thu Feb 27 20:39:41 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6809552002e+11 0.00e+00 3.58e+04 5.056772e+04 -6.314082e+00 2 6.3245466452e+09 -3.44e-03 3.58e+02 5.593829e+04 -6.315670e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.32455e+09 rel. change during last iteration : -3.44416e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.524 variance of residuals (reduced chisquare) = WSSR/ndf : 189681 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55938.3 +/- 2.4 (0.004291%) b = -6.31567 +/- 21.7 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Thu Feb 27 20:39:43 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0327447911e+02 0.00e+00 7.79e-03 1.336968e-02 -8.485692e-04 -4.769571e-04 2 4.0219572266e+02 -7.43e-04 7.79e-05 9.061126e-03 8.206227e-04 1.939874e-03 After 2 iterations the fit converged. final sum of squares of residuals : 402.196 rel. change during last iteration : -7.43116e-09 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.10983 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120627 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00906113 +/- 0.0007623 (8.413%) bb = 0.000820623 +/- 0.000458 (55.81%) cc = 0.00193987 +/- 0.0002698 (13.91%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.003 1.000 cc -0.613 0.072 1.000 ******************************************************************************* Thu Feb 27 20:39:46 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6112422583e+11 0.00e+00 3.96e+04 5.593829e+04 -6.315670e+00 2 6.3211618310e+09 -3.40e-03 3.96e+02 6.128937e+04 -6.316300e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.32116e+09 rel. change during last iteration : -3.40097e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.408 variance of residuals (reduced chisquare) = WSSR/ndf : 189580 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61289.4 +/- 2.399 (0.003915%) b = -6.3163 +/- 21.69 (343.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Thu Feb 27 20:39:48 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0304243667e+02 0.00e+00 6.09e-03 9.061126e-03 8.206227e-04 1.939874e-03 2 4.0272597777e+02 -3.12e-06 6.09e-05 1.155837e-02 1.282816e-03 5.758333e-04 After 2 iterations the fit converged. final sum of squares of residuals : 402.726 rel. change during last iteration : -3.12321e-11 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109903 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120786 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0115584 +/- 0.000761 (6.584%) bb = 0.00128282 +/- 0.00047 (36.64%) cc = 0.000575833 +/- 0.0002799 (48.61%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.002 1.000 cc -0.608 0.113 1.000 ******************************************************************************* Thu Feb 27 20:39:52 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6801288087e+11 0.00e+00 4.33e+04 6.128937e+04 -6.316300e+00 2 6.3243601674e+09 -3.43e-03 4.33e+02 6.665972e+04 -6.317311e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.32436e+09 rel. change during last iteration : -3.43381e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.518 variance of residuals (reduced chisquare) = WSSR/ndf : 189676 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66659.7 +/- 2.4 (0.0036%) b = -6.31731 +/- 21.7 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Thu Feb 27 20:39:54 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0293093244e+02 0.00e+00 6.83e-03 1.155837e-02 1.282816e-03 5.758333e-04 2 4.0278872712e+02 -6.53e-06 6.83e-05 1.110530e-02 -1.675555e-04 6.431467e-04 After 2 iterations the fit converged. final sum of squares of residuals : 402.789 rel. change during last iteration : -6.53163e-11 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109911 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120805 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0111053 +/- 0.0007852 (7.07%) bb = -0.000167555 +/- 0.0004295 (256.4%) cc = 0.000643147 +/- 0.0002568 (39.92%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.004 1.000 cc -0.642 -0.000 1.000 ******************************************************************************* Thu Feb 27 20:39:57 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6120677625e+11 0.00e+00 4.71e+04 6.665972e+04 -6.317311e+00 2 6.3201340712e+09 -3.41e-03 4.71e+02 7.201103e+04 -6.318099e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.32013e+09 rel. change during last iteration : -3.4077e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.372 variance of residuals (reduced chisquare) = WSSR/ndf : 189549 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72011 +/- 2.399 (0.003332%) b = -6.3181 +/- 21.69 (343.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Thu Feb 27 20:39:59 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0257118296e+02 0.00e+00 6.49e-03 1.110530e-02 -1.675555e-04 6.431467e-04 2 4.0230561626e+02 -1.94e-02 6.49e-05 9.755415e-03 -1.541229e-03 1.763387e-03 After 2 iterations the fit converged. final sum of squares of residuals : 402.306 rel. change during last iteration : -1.94021e-07 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109845 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012066 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00975541 +/- 0.0007476 (7.663%) bb = -0.00154123 +/- 0.0004831 (31.34%) cc = 0.00176339 +/- 0.0002831 (16.05%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.009 1.000 cc -0.590 -0.095 1.000 ******************************************************************************* Thu Feb 27 20:40:02 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6809888655e+11 0.00e+00 5.09e+04 7.201103e+04 -6.318099e+00 2 6.3260053795e+09 -3.45e-03 5.09e+02 7.738161e+04 -6.316881e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.32601e+09 rel. change during last iteration : -3.4481e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.574 variance of residuals (reduced chisquare) = WSSR/ndf : 189725 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77381.6 +/- 2.4 (0.003102%) b = -6.31688 +/- 21.7 (343.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Thu Feb 27 20:40:04 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0370374823e+02 0.00e+00 6.58e-03 9.755415e-03 -1.541229e-03 1.763387e-03 2 4.0283185969e+02 -3.70e-06 6.58e-05 1.281017e-02 -1.492080e-04 -2.173621e-04 After 2 iterations the fit converged. final sum of squares of residuals : 402.832 rel. change during last iteration : -3.70266e-11 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109917 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120818 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0128102 +/- 0.0007889 (6.158%) bb = -0.000149208 +/- 0.0004255 (285.2%) cc = -0.000217362 +/- 0.0002545 (117.1%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.004 1.000 cc -0.646 -0.024 1.000 ******************************************************************************* Thu Feb 27 20:40:07 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6119751578e+11 0.00e+00 5.47e+04 7.738161e+04 -6.316881e+00 2 6.3213298433e+09 -3.44e-03 5.47e+02 8.273289e+04 -6.315523e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.32133e+09 rel. change during last iteration : -3.43921e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.413 variance of residuals (reduced chisquare) = WSSR/ndf : 189585 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82732.9 +/- 2.4 (0.0029%) b = -6.31552 +/- 21.69 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Thu Feb 27 20:40:09 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0304892033e+02 0.00e+00 7.40e-03 1.281017e-02 -1.492080e-04 -2.173621e-04 2 4.0201317706e+02 -7.86e-02 7.40e-05 8.807553e-03 1.403699e-03 2.260925e-03 After 2 iterations the fit converged. final sum of squares of residuals : 402.013 rel. change during last iteration : -7.86181e-07 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109806 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120573 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00880755 +/- 0.0007529 (8.549%) bb = 0.0014037 +/- 0.0004737 (33.75%) cc = 0.00226092 +/- 0.0002796 (12.37%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.008 1.000 cc -0.600 0.066 1.000 ******************************************************************************* Thu Feb 27 20:40:12 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6787964257e+11 0.00e+00 5.85e+04 8.273289e+04 -6.315523e+00 2 6.3212957364e+09 -3.43e-03 5.85e+02 8.810287e+04 -6.316123e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.3213e+09 rel. change during last iteration : -3.42966e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.412 variance of residuals (reduced chisquare) = WSSR/ndf : 189584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88102.9 +/- 2.399 (0.002724%) b = -6.31612 +/- 21.69 (343.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Thu Feb 27 20:40:15 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0420491442e+02 0.00e+00 6.55e-03 8.807553e-03 1.403699e-03 2.260925e-03 2 4.0281340676e+02 -3.02e-06 6.55e-05 1.322016e-02 3.860604e-04 -4.257377e-04 After 2 iterations the fit converged. final sum of squares of residuals : 402.813 rel. change during last iteration : -3.01734e-11 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109915 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120813 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0132202 +/- 0.00078 (5.9%) bb = 0.00038606 +/- 0.0004334 (112.3%) cc = -0.000425738 +/- 0.0002563 (60.2%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.014 1.000 cc -0.635 0.036 1.000 ******************************************************************************* Thu Feb 27 20:40:18 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6160140927e+11 0.00e+00 6.23e+04 8.810287e+04 -6.316123e+00 2 6.3315897445e+09 -3.42e-03 6.23e+02 9.345526e+04 -6.315208e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.33159e+09 rel. change during last iteration : -3.41735e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.767 variance of residuals (reduced chisquare) = WSSR/ndf : 189893 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93455.3 +/- 2.401 (0.00257%) b = -6.31521 +/- 21.71 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Thu Feb 27 20:40:20 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0317843607e+02 0.00e+00 7.67e-03 1.322016e-02 3.860604e-04 -4.257377e-04 2 4.0228095284e+02 -2.38e-03 7.67e-05 9.320168e-03 -1.121503e-03 1.788517e-03 After 2 iterations the fit converged. final sum of squares of residuals : 402.281 rel. change during last iteration : -2.37669e-08 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109842 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120653 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00932017 +/- 0.0007663 (8.221%) bb = -0.0011215 +/- 0.0004578 (40.82%) cc = 0.00178852 +/- 0.0002746 (15.35%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.003 1.000 cc -0.619 -0.030 1.000 ******************************************************************************* Thu Feb 27 20:40:23 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6791364210e+11 0.00e+00 6.61e+04 9.345526e+04 -6.315208e+00 2 6.3314148889e+09 -3.42e-03 6.61e+02 9.882530e+04 -6.315426e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.33141e+09 rel. change during last iteration : -3.41631e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.761 variance of residuals (reduced chisquare) = WSSR/ndf : 189887 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98825.3 +/- 2.401 (0.00243%) b = -6.31543 +/- 21.71 (343.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Thu Feb 27 20:40:25 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0339867266e+02 0.00e+00 6.25e-03 9.320168e-03 -1.121503e-03 1.788517e-03 2 4.0283634866e+02 -1.33e-06 6.25e-05 1.237144e-02 -7.719891e-04 3.207039e-05 After 2 iterations the fit converged. final sum of squares of residuals : 402.836 rel. change during last iteration : -1.33309e-11 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109918 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120819 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0123714 +/- 0.0007658 (6.19%) bb = -0.000771989 +/- 0.0004456 (57.72%) cc = 3.20704e-05 +/- 0.0002582 (805.2%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.015 1.000 cc -0.617 -0.047 1.000 ******************************************************************************* Thu Feb 27 20:40:28 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 33345 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 9.6129222624e+11 0.00e+00 6.99e+04 9.882530e+04 -6.315426e+00 2 6.3709587173e+09 -3.39e-03 6.99e+02 1.041767e+05 -6.316115e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.37096e+09 rel. change during last iteration : -3.38788e-08 degrees of freedom (FIT_NDF) : 33343 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 437.119 variance of residuals (reduced chisquare) = WSSR/ndf : 191073 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104177 +/- 2.409 (0.002312%) b = -6.31612 +/- 21.78 (344.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.112 1.000 ******************************************************************************* Thu Feb 27 20:40:31 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 33345 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 4.0295856415e+02 0.00e+00 7.17e-03 1.237144e-02 -7.719891e-04 3.207039e-05 3 4.0264584060e+02 -1.80e-05 7.17e-06 1.060618e-02 8.992601e-04 9.752160e-04 After 3 iterations the fit converged. final sum of squares of residuals : 402.646 rel. change during last iteration : -1.79938e-10 degrees of freedom (FIT_NDF) : 33342 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109892 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120762 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0106062 +/- 0.0007759 (7.316%) bb = 0.00089926 +/- 0.0004474 (49.75%) cc = 0.000975216 +/- 0.0002707 (27.76%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.006 1.000 cc -0.631 0.008 1.000