******************************************************************************* Fri Feb 21 08:21:53 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21770 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9090155516e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.9973822041e+03 -7.75e-02 7.07e-04 2.269696e+00 -1.280573e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3997.38 rel. change during last iteration : -7.74733e-07 degrees of freedom (FIT_NDF) : 21768 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.428527 variance of residuals (reduced chisquare) = WSSR/ndf : 0.183636 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.2697 +/- 0.002905 (0.128%) b = -1.28057 +/- 2.613 (204%) correlation matrix of the fit parameters: a b a 1.000 b -0.024 1.000 ******************************************************************************* Fri Feb 21 08:21:55 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.4222289083e+05 0.00e+00 1.60e+00 2.269696e+00 -1.280573e+00 2 4.0519890770e+03 -9.65e-01 1.60e-02 7.683854e+00 -2.117569e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4051.99 rel. change during last iteration : -9.64925e-06 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431435 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186136 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68385 +/- 0.002925 (0.03806%) b = -2.11757 +/- 2.628 (124.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.022 1.000 ******************************************************************************* Fri Feb 21 08:21:56 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3205370525e+05 0.00e+00 5.43e+00 7.683854e+00 -2.117569e+00 2 4.0583453555e+03 -2.13e-02 5.43e-02 1.305466e+01 -2.176448e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4058.35 rel. change during last iteration : -2.13428e-07 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431773 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186428 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0547 +/- 0.002927 (0.02242%) b = -2.17645 +/- 2.629 (120.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.022 1.000 ******************************************************************************* Fri Feb 21 08:21:58 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2769991436e+05 0.00e+00 9.23e+00 1.305466e+01 -2.176448e+00 2 4.0750430251e+03 -9.07e-02 9.23e-02 1.840674e+01 -2.270845e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4075.04 rel. change during last iteration : -9.07306e-07 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.43266 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187195 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4067 +/- 0.002933 (0.01593%) b = -2.27084 +/- 2.636 (116.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:21:59 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3156476719e+05 0.00e+00 1.30e+01 1.840674e+01 -2.270845e+00 2 4.0538174011e+03 -1.09e-01 1.30e-01 2.377547e+01 -2.349176e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4053.82 rel. change during last iteration : -1.09486e-06 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431532 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18622 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7755 +/- 0.002925 (0.0123%) b = -2.34918 +/- 2.63 (111.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:22:01 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2766529363e+05 0.00e+00 1.68e+01 2.377547e+01 -2.349176e+00 2 4.0610681428e+03 -1.03e-02 1.68e-01 2.912746e+01 -2.358510e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4061.07 rel. change during last iteration : -1.03086e-07 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431918 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186553 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1275 +/- 0.002928 (0.01005%) b = -2.35851 +/- 2.631 (111.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:22:02 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3193291927e+05 0.00e+00 2.06e+01 2.912746e+01 -2.358510e+00 2 4.0602861570e+03 -8.91e-03 2.06e-01 3.449774e+01 -2.362993e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4060.29 rel. change during last iteration : -8.90892e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431876 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186517 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4977 +/- 0.002928 (0.008487%) b = -2.36299 +/- 2.631 (111.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:22:04 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2753617707e+05 0.00e+00 2.44e+01 3.449774e+01 -2.362993e+00 2 4.0608205639e+03 -8.61e-03 2.44e-01 3.984917e+01 -2.366120e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4060.82 rel. change during last iteration : -8.60724e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431904 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186541 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8492 +/- 0.002928 (0.007348%) b = -2.36612 +/- 2.631 (111.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:22:05 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3218920963e+05 0.00e+00 2.82e+01 3.984917e+01 -2.366120e+00 2 4.0716142768e+03 -9.43e-03 2.82e-01 4.522050e+01 -2.361793e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4071.61 rel. change during last iteration : -9.42682e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.432478 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2205 +/- 0.002932 (0.006483%) b = -2.36179 +/- 2.635 (111.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:22:06 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2727921242e+05 0.00e+00 3.20e+01 4.522050e+01 -2.361793e+00 2 4.0599658609e+03 -8.18e-03 3.20e-01 5.057083e+01 -2.362738e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4059.97 rel. change during last iteration : -8.17595e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431859 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186502 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5708 +/- 0.002928 (0.005789%) b = -2.36274 +/- 2.631 (111.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:22:08 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3192195688e+05 0.00e+00 3.58e+01 5.057083e+01 -2.362738e+00 2 4.0598500504e+03 -8.18e-03 3.58e-01 5.594106e+01 -2.363158e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4059.85 rel. change during last iteration : -8.17639e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431853 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186497 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9411 +/- 0.002928 (0.005233%) b = -2.36316 +/- 2.631 (111.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:22:09 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2754489222e+05 0.00e+00 3.96e+01 5.594106e+01 -2.363158e+00 2 4.0600783469e+03 -8.25e-03 3.96e-01 6.129254e+01 -2.364214e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4060.08 rel. change during last iteration : -8.25122e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431865 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186507 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2925 +/- 0.002928 (0.004777%) b = -2.36421 +/- 2.631 (111.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:22:11 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3191101697e+05 0.00e+00 4.33e+01 6.129254e+01 -2.364214e+00 2 4.0605789182e+03 -8.29e-03 4.33e-01 6.666272e+01 -2.365115e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4060.58 rel. change during last iteration : -8.28745e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431892 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18653 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6627 +/- 0.002928 (0.004392%) b = -2.36512 +/- 2.631 (111.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:22:12 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2753562979e+05 0.00e+00 4.71e+01 6.666272e+01 -2.365115e+00 2 4.0607593733e+03 -8.11e-03 4.71e-01 7.201416e+01 -2.365413e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4060.76 rel. change during last iteration : -8.11496e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431901 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186539 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0142 +/- 0.002928 (0.004066%) b = -2.36541 +/- 2.631 (111.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:22:14 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3191934117e+05 0.00e+00 5.09e+01 7.201416e+01 -2.365413e+00 2 4.0609271713e+03 -8.19e-03 5.09e-01 7.738437e+01 -2.365796e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4060.93 rel. change during last iteration : -8.18757e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.43191 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186546 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3844 +/- 0.002928 (0.003784%) b = -2.3658 +/- 2.631 (111.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:22:15 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2752677505e+05 0.00e+00 5.47e+01 7.738437e+01 -2.365796e+00 2 4.0603364320e+03 -8.16e-03 5.47e-01 8.273577e+01 -2.366291e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4060.34 rel. change during last iteration : -8.16212e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431879 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186519 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7358 +/- 0.002928 (0.003539%) b = -2.36629 +/- 2.631 (111.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:22:16 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3198453676e+05 0.00e+00 5.85e+01 8.273577e+01 -2.366291e+00 2 4.0597574193e+03 -9.25e-03 5.85e-01 8.810627e+01 -2.368212e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4059.76 rel. change during last iteration : -9.24989e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431848 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186493 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1063 +/- 0.002928 (0.003323%) b = -2.36821 +/- 2.631 (111.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:22:18 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2747968895e+05 0.00e+00 6.23e+01 8.810627e+01 -2.368212e+00 2 4.0603715546e+03 -8.16e-03 6.23e-01 9.345747e+01 -2.368647e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4060.37 rel. change during last iteration : -8.16139e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431881 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186521 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4575 +/- 0.002928 (0.003133%) b = -2.36865 +/- 2.631 (111.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:22:19 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3214503186e+05 0.00e+00 6.61e+01 9.345747e+01 -2.368647e+00 2 4.0758006060e+03 -9.47e-03 6.61e-01 9.882859e+01 -2.370539e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4075.8 rel. change during last iteration : -9.46972e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.4327 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18723 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8286 +/- 0.002933 (0.002968%) b = -2.37054 +/- 2.636 (111.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:22:21 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2756469468e+05 0.00e+00 6.99e+01 9.882859e+01 -2.370539e+00 2 4.0763961406e+03 -8.22e-03 6.99e-01 1.041801e+02 -2.371148e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4076.4 rel. change during last iteration : -8.22243e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.432732 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187257 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.18 +/- 0.002934 (0.002816%) b = -2.37115 +/- 2.636 (111.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 08:22:22 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 14966 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.3342136111e+05 0.00e+00 7.37e+01 1.041801e+02 -2.371148e+00 2 2.8680671483e+03 -8.56e-02 7.37e-01 1.095437e+02 -2.360934e+00 After 2 iterations the fit converged. final sum of squares of residuals : 2868.07 rel. change during last iteration : -8.56086e-07 degrees of freedom (FIT_NDF) : 14964 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437795 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.544 +/- 0.004451 (0.004063%) b = -2.36093 +/- 4.465 (189.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.595 1.000 ******************************************************************************* Fri Feb 21 11:10:21 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21770 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.9090155516e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.9973822041e+03 -7.75e-02 7.07e-04 2.269696e+00 -1.280573e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3997.38 rel. change during last iteration : -7.74733e-07 degrees of freedom (FIT_NDF) : 21768 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.428527 variance of residuals (reduced chisquare) = WSSR/ndf : 0.183636 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.2697 +/- 0.002905 (0.128%) b = -1.28057 +/- 2.613 (204%) correlation matrix of the fit parameters: a b a 1.000 b -0.024 1.000 ******************************************************************************* Fri Feb 21 11:10:22 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.4222289083e+05 0.00e+00 1.60e+00 2.269696e+00 -1.280573e+00 2 4.0519890770e+03 -9.65e-01 1.60e-02 7.683854e+00 -2.117569e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4051.99 rel. change during last iteration : -9.64925e-06 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431435 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186136 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68385 +/- 0.002925 (0.03806%) b = -2.11757 +/- 2.628 (124.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.022 1.000 ******************************************************************************* Fri Feb 21 11:10:24 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3205370525e+05 0.00e+00 5.43e+00 7.683854e+00 -2.117569e+00 2 4.0583453555e+03 -2.13e-02 5.43e-02 1.305466e+01 -2.176448e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4058.35 rel. change during last iteration : -2.13428e-07 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431773 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186428 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0547 +/- 0.002927 (0.02242%) b = -2.17645 +/- 2.629 (120.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.022 1.000 ******************************************************************************* Fri Feb 21 11:10:25 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2769991436e+05 0.00e+00 9.23e+00 1.305466e+01 -2.176448e+00 2 4.0750430251e+03 -9.07e-02 9.23e-02 1.840674e+01 -2.270845e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4075.04 rel. change during last iteration : -9.07306e-07 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.43266 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187195 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4067 +/- 0.002933 (0.01593%) b = -2.27084 +/- 2.636 (116.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:27 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3156476719e+05 0.00e+00 1.30e+01 1.840674e+01 -2.270845e+00 2 4.0538174011e+03 -1.09e-01 1.30e-01 2.377547e+01 -2.349176e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4053.82 rel. change during last iteration : -1.09486e-06 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431532 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18622 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7755 +/- 0.002925 (0.0123%) b = -2.34918 +/- 2.63 (111.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:28 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2766529363e+05 0.00e+00 1.68e+01 2.377547e+01 -2.349176e+00 2 4.0610681428e+03 -1.03e-02 1.68e-01 2.912746e+01 -2.358510e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4061.07 rel. change during last iteration : -1.03086e-07 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431918 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186553 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1275 +/- 0.002928 (0.01005%) b = -2.35851 +/- 2.631 (111.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:29 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3193291927e+05 0.00e+00 2.06e+01 2.912746e+01 -2.358510e+00 2 4.0602861570e+03 -8.91e-03 2.06e-01 3.449774e+01 -2.362993e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4060.29 rel. change during last iteration : -8.90892e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431876 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186517 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4977 +/- 0.002928 (0.008487%) b = -2.36299 +/- 2.631 (111.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:31 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2753617707e+05 0.00e+00 2.44e+01 3.449774e+01 -2.362993e+00 2 4.0608205639e+03 -8.61e-03 2.44e-01 3.984917e+01 -2.366120e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4060.82 rel. change during last iteration : -8.60724e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431904 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186541 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8492 +/- 0.002928 (0.007348%) b = -2.36612 +/- 2.631 (111.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:32 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3218920963e+05 0.00e+00 2.82e+01 3.984917e+01 -2.366120e+00 2 4.0716142768e+03 -9.43e-03 2.82e-01 4.522050e+01 -2.361793e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4071.61 rel. change during last iteration : -9.42682e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.432478 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187037 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2205 +/- 0.002932 (0.006483%) b = -2.36179 +/- 2.635 (111.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:34 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2727921242e+05 0.00e+00 3.20e+01 4.522050e+01 -2.361793e+00 2 4.0599658609e+03 -8.18e-03 3.20e-01 5.057083e+01 -2.362738e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4059.97 rel. change during last iteration : -8.17595e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431859 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186502 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5708 +/- 0.002928 (0.005789%) b = -2.36274 +/- 2.631 (111.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:35 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3192195688e+05 0.00e+00 3.58e+01 5.057083e+01 -2.362738e+00 2 4.0598500504e+03 -8.18e-03 3.58e-01 5.594106e+01 -2.363158e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4059.85 rel. change during last iteration : -8.17639e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431853 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186497 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9411 +/- 0.002928 (0.005233%) b = -2.36316 +/- 2.631 (111.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:37 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2754489222e+05 0.00e+00 3.96e+01 5.594106e+01 -2.363158e+00 2 4.0600783469e+03 -8.25e-03 3.96e-01 6.129254e+01 -2.364214e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4060.08 rel. change during last iteration : -8.25122e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431865 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186507 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2925 +/- 0.002928 (0.004777%) b = -2.36421 +/- 2.631 (111.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:38 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3191101697e+05 0.00e+00 4.33e+01 6.129254e+01 -2.364214e+00 2 4.0605789182e+03 -8.29e-03 4.33e-01 6.666272e+01 -2.365115e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4060.58 rel. change during last iteration : -8.28745e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431892 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18653 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6627 +/- 0.002928 (0.004392%) b = -2.36512 +/- 2.631 (111.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:39 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2753562979e+05 0.00e+00 4.71e+01 6.666272e+01 -2.365115e+00 2 4.0607593733e+03 -8.11e-03 4.71e-01 7.201416e+01 -2.365413e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4060.76 rel. change during last iteration : -8.11496e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431901 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186539 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0142 +/- 0.002928 (0.004066%) b = -2.36541 +/- 2.631 (111.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:41 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3191934117e+05 0.00e+00 5.09e+01 7.201416e+01 -2.365413e+00 2 4.0609271713e+03 -8.19e-03 5.09e-01 7.738437e+01 -2.365796e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4060.93 rel. change during last iteration : -8.18757e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.43191 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186546 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3844 +/- 0.002928 (0.003784%) b = -2.3658 +/- 2.631 (111.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:42 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2752677505e+05 0.00e+00 5.47e+01 7.738437e+01 -2.365796e+00 2 4.0603364320e+03 -8.16e-03 5.47e-01 8.273577e+01 -2.366291e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4060.34 rel. change during last iteration : -8.16212e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431879 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186519 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7358 +/- 0.002928 (0.003539%) b = -2.36629 +/- 2.631 (111.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:44 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3198453676e+05 0.00e+00 5.85e+01 8.273577e+01 -2.366291e+00 2 4.0597574193e+03 -9.25e-03 5.85e-01 8.810627e+01 -2.368212e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4059.76 rel. change during last iteration : -9.24989e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431848 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186493 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1063 +/- 0.002928 (0.003323%) b = -2.36821 +/- 2.631 (111.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:45 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2747968895e+05 0.00e+00 6.23e+01 8.810627e+01 -2.368212e+00 2 4.0603715546e+03 -8.16e-03 6.23e-01 9.345747e+01 -2.368647e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4060.37 rel. change during last iteration : -8.16139e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.431881 variance of residuals (reduced chisquare) = WSSR/ndf : 0.186521 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4575 +/- 0.002928 (0.003133%) b = -2.36865 +/- 2.631 (111.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:47 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.3214503186e+05 0.00e+00 6.61e+01 9.345747e+01 -2.368647e+00 2 4.0758006060e+03 -9.47e-03 6.61e-01 9.882859e+01 -2.370539e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4075.8 rel. change during last iteration : -9.46972e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.4327 variance of residuals (reduced chisquare) = WSSR/ndf : 0.18723 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8286 +/- 0.002933 (0.002968%) b = -2.37054 +/- 2.636 (111.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:48 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 21771 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2756469468e+05 0.00e+00 6.99e+01 9.882859e+01 -2.370539e+00 2 4.0763961406e+03 -8.22e-03 6.99e-01 1.041801e+02 -2.371148e+00 After 2 iterations the fit converged. final sum of squares of residuals : 4076.4 rel. change during last iteration : -8.22243e-08 degrees of freedom (FIT_NDF) : 21769 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.432732 variance of residuals (reduced chisquare) = WSSR/ndf : 0.187257 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.18 +/- 0.002934 (0.002816%) b = -2.37115 +/- 2.636 (111.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.023 1.000 ******************************************************************************* Fri Feb 21 11:10:49 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 14966 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.3342136111e+05 0.00e+00 7.37e+01 1.041801e+02 -2.371148e+00 2 2.8680671483e+03 -8.56e-02 7.37e-01 1.095437e+02 -2.360934e+00 After 2 iterations the fit converged. final sum of squares of residuals : 2868.07 rel. change during last iteration : -8.56086e-07 degrees of freedom (FIT_NDF) : 14964 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437795 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191664 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.544 +/- 0.004451 (0.004063%) b = -2.36093 +/- 4.465 (189.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.595 1.000 ******************************************************************************* Sat Feb 22 19:26:12 2025 FIT: data read from 'all_END336_phase_space.dat' u "y":"pz" format = x:z #datapoints = 21790 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x+c*x**2 BREAK: Need via and either parameter list or file ******************************************************************************* Sat Feb 22 19:26:26 2025 FIT: data read from 'all_END336_phase_space.dat' u "y":"pz" format = x:z #datapoints = 21790 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1788444085e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 8 9.9283918154e-11 -1.40e-07 5.77e-09 5.006855e-05 5.071894e-06 -8.265955e-03 After 8 iterations the fit converged. final sum of squares of residuals : 9.92839e-11 rel. change during last iteration : -1.40489e-12 degrees of freedom (FIT_NDF) : 21787 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.75057e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 4.55703e-15 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.00686e-05 +/- 5.743e-10 (0.001147%) b = 5.07189e-06 +/- 7.542e-07 (14.87%) c = -0.00826595 +/- 0.0009436 (11.42%) correlation matrix of the fit parameters: a b c a 1.000 b 0.003 1.000 c -0.605 -0.035 1.000