******************************************************************************* Sat Nov 12 14:14:13 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 9.6504311408e+05 0.00e+00 1.05e+02 1.000000e+00 1.000000e+00 5 4.4810793662e+01 -1.76e-01 1.05e-03 -1.465630e+00 -5.223364e-02 After 5 iterations the fit converged. final sum of squares of residuals : 44.8108 rel. change during last iteration : -1.75636e-06 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.08592 variance of residuals (reduced chisquare) = WSSR/ndf : 1.17923 p-value of the Chisq distribution (FIT_P) : 0.207705 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.46563 +/- 0.8771 (59.85%) offset = -0.0522336 +/- 0.001296 (2.48%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.443 1.000 ******************************************************************************* Sat Nov 12 14:14:13 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 2.5900490090e+02 0.00e+00 3.80e+00 -1.465630e+00 -5.223364e-02 4 4.4810793662e+01 -3.27e-06 3.80e-04 -2.108988e+00 -7.516227e-02 After 4 iterations the fit converged. final sum of squares of residuals : 44.8108 rel. change during last iteration : -3.27113e-11 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.08592 variance of residuals (reduced chisquare) = WSSR/ndf : 1.17923 p-value of the Chisq distribution (FIT_P) : 0.207705 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.10899 +/- 1.262 (59.85%) offset = -0.0751623 +/- 0.001864 (2.48%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.443 1.000 ******************************************************************************* Sat Nov 12 14:17:55 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.3081652937e+06 0.00e+00 1.04e+02 1.000000e+00 1.000000e+00 5 4.4207800459e+01 -1.71e-01 1.04e-03 -1.455689e+00 -2.276943e-01 After 5 iterations the fit converged. final sum of squares of residuals : 44.2078 rel. change during last iteration : -1.70669e-06 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07859 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16336 p-value of the Chisq distribution (FIT_P) : 0.225963 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.45569 +/- 0.8671 (59.57%) offset = -0.227694 +/- 0.001329 (0.5837%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.493 1.000 ******************************************************************************* Sat Nov 12 14:17:55 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 4.2039179892e+03 0.00e+00 1.65e+01 -1.455689e+00 -2.276943e-01 4 4.4207800459e+01 -7.89e-02 1.65e-03 -2.094683e+00 -3.276436e-01 After 4 iterations the fit converged. final sum of squares of residuals : 44.2078 rel. change during last iteration : -7.88504e-07 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07859 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16336 p-value of the Chisq distribution (FIT_P) : 0.225963 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.09468 +/- 1.248 (59.57%) offset = -0.327644 +/- 0.001912 (0.5837%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.493 1.000 ******************************************************************************* Sat Nov 12 14:21:46 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.3081652937e+06 0.00e+00 1.04e+02 1.000000e+00 1.000000e+00 5 4.4207800459e+01 -1.71e-01 1.04e-03 -1.455689e+00 -2.276943e-01 After 5 iterations the fit converged. final sum of squares of residuals : 44.2078 rel. change during last iteration : -1.70669e-06 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07859 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16336 p-value of the Chisq distribution (FIT_P) : 0.225963 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.45569 +/- 0.8671 (59.57%) offset = -0.227694 +/- 0.001329 (0.5837%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.493 1.000 ******************************************************************************* Sat Nov 12 14:21:46 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 4.2039179892e+03 0.00e+00 1.65e+01 -1.455689e+00 -2.276943e-01 4 4.4207800459e+01 -7.89e-02 1.65e-03 -2.094683e+00 -3.276436e-01 After 4 iterations the fit converged. final sum of squares of residuals : 44.2078 rel. change during last iteration : -7.88504e-07 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07859 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16336 p-value of the Chisq distribution (FIT_P) : 0.225963 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.09468 +/- 1.248 (59.57%) offset = -0.327644 +/- 0.001912 (0.5837%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.493 1.000 ******************************************************************************* Sat Nov 12 14:22:19 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.3081652937e+06 0.00e+00 1.04e+02 1.000000e+00 1.000000e+00 5 4.4207800459e+01 -1.71e-01 1.04e-03 -1.455689e+00 -2.276943e-01 After 5 iterations the fit converged. final sum of squares of residuals : 44.2078 rel. change during last iteration : -1.70669e-06 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07859 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16336 p-value of the Chisq distribution (FIT_P) : 0.225963 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.45569 +/- 0.8671 (59.57%) offset = -0.227694 +/- 0.001329 (0.5837%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.493 1.000 ******************************************************************************* Sat Nov 12 14:22:19 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 4.2039179892e+03 0.00e+00 1.65e+01 -1.455689e+00 -2.276943e-01 4 4.4207800459e+01 -7.89e-02 1.65e-03 -2.094683e+00 -3.276436e-01 After 4 iterations the fit converged. final sum of squares of residuals : 44.2078 rel. change during last iteration : -7.88504e-07 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07859 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16336 p-value of the Chisq distribution (FIT_P) : 0.225963 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.09468 +/- 1.248 (59.57%) offset = -0.327644 +/- 0.001912 (0.5837%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.493 1.000 ******************************************************************************* Sat Nov 12 14:46:22 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.3081652937e+06 0.00e+00 1.04e+02 1.000000e+00 1.000000e+00 5 4.4207800459e+01 -1.71e-01 1.04e-03 -1.455689e+00 -2.276943e-01 After 5 iterations the fit converged. final sum of squares of residuals : 44.2078 rel. change during last iteration : -1.70669e-06 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07859 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16336 p-value of the Chisq distribution (FIT_P) : 0.225963 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.45569 +/- 0.8671 (59.57%) offset = -0.227694 +/- 0.001329 (0.5837%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.493 1.000 ******************************************************************************* Sat Nov 12 14:46:22 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 4.2039179892e+03 0.00e+00 1.65e+01 -1.455689e+00 -2.276943e-01 4 4.4207800459e+01 -7.89e-02 1.65e-03 -2.094683e+00 -3.276436e-01 After 4 iterations the fit converged. final sum of squares of residuals : 44.2078 rel. change during last iteration : -7.88504e-07 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07859 variance of residuals (reduced chisquare) = WSSR/ndf : 1.16336 p-value of the Chisq distribution (FIT_P) : 0.225963 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.09468 +/- 1.248 (59.57%) offset = -0.327644 +/- 0.001912 (0.5837%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.493 1.000 ******************************************************************************* Sat Nov 12 14:48:22 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 8.4452289618e+05 0.00e+00 1.03e+02 1.000000e+00 1.000000e+00 5 4.3699908212e+01 -1.83e-01 1.03e-03 -1.527125e+00 -2.414117e-03 After 5 iterations the fit converged. final sum of squares of residuals : 43.6999 rel. change during last iteration : -1.83252e-06 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07238 variance of residuals (reduced chisquare) = WSSR/ndf : 1.15 p-value of the Chisq distribution (FIT_P) : 0.242156 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.52712 +/- 0.8827 (57.8%) offset = -0.00241412 +/- 0.00132 (54.7%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.467 1.000 ******************************************************************************* Sat Nov 12 14:48:22 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 4.4162758884e+01 0.00e+00 2.37e-01 -1.527125e+00 -2.414117e-03 3 4.3699908212e+01 -4.71e-07 2.37e-04 -2.197476e+00 -3.473825e-03 After 3 iterations the fit converged. final sum of squares of residuals : 43.6999 rel. change during last iteration : -4.7104e-12 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07238 variance of residuals (reduced chisquare) = WSSR/ndf : 1.15 p-value of the Chisq distribution (FIT_P) : 0.242156 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.19748 +/- 1.27 (57.8%) offset = -0.00347382 +/- 0.0019 (54.7%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.467 1.000 ******************************************************************************* Sat Nov 12 14:50:34 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 7.7153443666e+05 0.00e+00 1.03e+02 1.000000e+00 1.000000e+00 5 4.3390927583e+01 -1.93e-01 1.03e-03 -1.559453e+00 4.751131e-02 After 5 iterations the fit converged. final sum of squares of residuals : 43.3909 rel. change during last iteration : -1.9348e-06 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.06858 variance of residuals (reduced chisquare) = WSSR/ndf : 1.14187 p-value of the Chisq distribution (FIT_P) : 0.252371 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.55945 +/- 0.8763 (56.2%) offset = 0.0475113 +/- 0.001305 (2.746%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.463 1.000 ******************************************************************************* Sat Nov 12 14:50:34 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 2.3122332493e+02 0.00e+00 3.41e+00 -1.559453e+00 4.751131e-02 4 4.3390927583e+01 -9.78e-07 3.41e-04 -2.243995e+00 6.836702e-02 After 4 iterations the fit converged. final sum of squares of residuals : 43.3909 rel. change during last iteration : -9.78019e-12 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.06858 variance of residuals (reduced chisquare) = WSSR/ndf : 1.14187 p-value of the Chisq distribution (FIT_P) : 0.252371 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.244 +/- 1.261 (56.2%) offset = 0.068367 +/- 0.001878 (2.746%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.463 1.000 ******************************************************************************* Sat Nov 12 14:51:25 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 7.7153443666e+05 0.00e+00 1.03e+02 1.000000e+00 1.000000e+00 5 4.3390927583e+01 -1.93e-01 1.03e-03 -1.559453e+00 4.751131e-02 After 5 iterations the fit converged. final sum of squares of residuals : 43.3909 rel. change during last iteration : -1.9348e-06 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.06858 variance of residuals (reduced chisquare) = WSSR/ndf : 1.14187 p-value of the Chisq distribution (FIT_P) : 0.252371 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.55945 +/- 0.8763 (56.2%) offset = 0.0475113 +/- 0.001305 (2.746%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.463 1.000 ******************************************************************************* Sat Nov 12 14:51:25 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 2.3122332493e+02 0.00e+00 3.41e+00 -1.559453e+00 4.751131e-02 4 4.3390927583e+01 -9.78e-07 3.41e-04 -2.243995e+00 6.836702e-02 After 4 iterations the fit converged. final sum of squares of residuals : 43.3909 rel. change during last iteration : -9.78019e-12 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.06858 variance of residuals (reduced chisquare) = WSSR/ndf : 1.14187 p-value of the Chisq distribution (FIT_P) : 0.252371 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.244 +/- 1.261 (56.2%) offset = 0.068367 +/- 0.001878 (2.746%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.463 1.000 ******************************************************************************* Sat Nov 12 14:52:34 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 9.3583484592e+05 0.00e+00 1.03e+02 1.000000e+00 1.000000e+00 5 4.4045176156e+01 -1.90e-01 1.03e-03 -1.577144e+00 -5.228980e-02 After 5 iterations the fit converged. final sum of squares of residuals : 44.0452 rel. change during last iteration : -1.90276e-06 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07661 variance of residuals (reduced chisquare) = WSSR/ndf : 1.15908 p-value of the Chisq distribution (FIT_P) : 0.231067 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.57714 +/- 0.8839 (56.05%) offset = -0.0522898 +/- 0.001327 (2.538%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.473 1.000 ******************************************************************************* Sat Nov 12 14:52:34 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 2.5101916543e+02 0.00e+00 3.75e+00 -1.577144e+00 -5.228980e-02 4 4.4045176156e+01 -2.11e-06 3.75e-04 -2.269452e+00 -7.524308e-02 After 4 iterations the fit converged. final sum of squares of residuals : 44.0452 rel. change during last iteration : -2.11073e-11 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07661 variance of residuals (reduced chisquare) = WSSR/ndf : 1.15908 p-value of the Chisq distribution (FIT_P) : 0.231067 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.26945 +/- 1.272 (56.05%) offset = -0.0752431 +/- 0.00191 (2.538%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.473 1.000 ******************************************************************************* Sat Nov 12 14:53:25 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 9.3583484592e+05 0.00e+00 1.03e+02 1.000000e+00 1.000000e+00 5 4.4045176156e+01 -1.90e-01 1.03e-03 -1.577144e+00 -5.228980e-02 After 5 iterations the fit converged. final sum of squares of residuals : 44.0452 rel. change during last iteration : -1.90276e-06 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07661 variance of residuals (reduced chisquare) = WSSR/ndf : 1.15908 p-value of the Chisq distribution (FIT_P) : 0.231067 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.57714 +/- 0.8839 (56.05%) offset = -0.0522898 +/- 0.001327 (2.538%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.473 1.000 ******************************************************************************* Sat Nov 12 14:53:25 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 2.5101916543e+02 0.00e+00 3.75e+00 -1.577144e+00 -5.228980e-02 4 4.4045176156e+01 -2.11e-06 3.75e-04 -2.269452e+00 -7.524308e-02 After 4 iterations the fit converged. final sum of squares of residuals : 44.0452 rel. change during last iteration : -2.11073e-11 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07661 variance of residuals (reduced chisquare) = WSSR/ndf : 1.15908 p-value of the Chisq distribution (FIT_P) : 0.231067 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.26945 +/- 1.272 (56.05%) offset = -0.0752431 +/- 0.00191 (2.538%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.473 1.000 ******************************************************************************* Sat Nov 12 14:54:13 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 9.3583484592e+05 0.00e+00 1.03e+02 1.000000e+00 1.000000e+00 5 4.4045176156e+01 -1.90e-01 1.03e-03 -1.577144e+00 -5.228980e-02 After 5 iterations the fit converged. final sum of squares of residuals : 44.0452 rel. change during last iteration : -1.90276e-06 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07661 variance of residuals (reduced chisquare) = WSSR/ndf : 1.15908 p-value of the Chisq distribution (FIT_P) : 0.231067 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.57714 +/- 0.8839 (56.05%) offset = -0.0522898 +/- 0.001327 (2.538%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.473 1.000 ******************************************************************************* Sat Nov 12 14:54:13 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 2.5101916543e+02 0.00e+00 3.75e+00 -1.577144e+00 -5.228980e-02 4 4.4045176156e+01 -2.11e-06 3.75e-04 -2.269452e+00 -7.524308e-02 After 4 iterations the fit converged. final sum of squares of residuals : 44.0452 rel. change during last iteration : -2.11073e-11 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07661 variance of residuals (reduced chisquare) = WSSR/ndf : 1.15908 p-value of the Chisq distribution (FIT_P) : 0.231067 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.26945 +/- 1.272 (56.05%) offset = -0.0752431 +/- 0.00191 (2.538%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.473 1.000 ******************************************************************************* Sat Nov 12 14:55:05 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 9.3583484592e+05 0.00e+00 1.03e+02 1.000000e+00 1.000000e+00 5 4.4045176156e+01 -1.90e-01 1.03e-03 -1.577144e+00 -5.228980e-02 After 5 iterations the fit converged. final sum of squares of residuals : 44.0452 rel. change during last iteration : -1.90276e-06 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07661 variance of residuals (reduced chisquare) = WSSR/ndf : 1.15908 p-value of the Chisq distribution (FIT_P) : 0.231067 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.57714 +/- 0.8839 (56.05%) offset = -0.0522898 +/- 0.001327 (2.538%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.473 1.000 ******************************************************************************* Sat Nov 12 14:55:05 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 40 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 2.5101916543e+02 0.00e+00 3.75e+00 -1.577144e+00 -5.228980e-02 4 4.4045176156e+01 -2.11e-06 3.75e-04 -2.269452e+00 -7.524308e-02 After 4 iterations the fit converged. final sum of squares of residuals : 44.0452 rel. change during last iteration : -2.11073e-11 degrees of freedom (FIT_NDF) : 38 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.07661 variance of residuals (reduced chisquare) = WSSR/ndf : 1.15908 p-value of the Chisq distribution (FIT_P) : 0.231067 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.26945 +/- 1.272 (56.05%) offset = -0.0752431 +/- 0.00191 (2.538%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.473 1.000 ******************************************************************************* Sat Nov 12 18:11:28 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.8339804010e+07 0.00e+00 7.13e+02 1.000000e+00 1.000000e+00 5 1.0772690335e+03 -1.46e-01 7.13e-03 -1.479370e+00 -5.119787e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.45669e-06 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.47937 +/- 0.4191 (28.33%) offset = -0.0511979 +/- 0.0006064 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:11:28 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.5669905135e+04 0.00e+00 2.54e+01 -1.479370e+00 -5.119787e-02 4 1.0772690335e+03 -1.58e-06 2.54e-03 -2.128760e+00 -7.367184e-02 After 4 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.57541e-11 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.12876 +/- 0.6031 (28.33%) offset = -0.0736718 +/- 0.0008726 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:17:24 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.8339804010e+07 0.00e+00 7.13e+02 1.000000e+00 1.000000e+00 5 1.0772690335e+03 -1.46e-01 7.13e-03 -1.479370e+00 -5.119787e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.45669e-06 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.47937 +/- 0.4191 (28.33%) offset = -0.0511979 +/- 0.0006064 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:17:24 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.5669905135e+04 0.00e+00 2.54e+01 -1.479370e+00 -5.119787e-02 4 1.0772690335e+03 -1.58e-06 2.54e-03 -2.128760e+00 -7.367184e-02 After 4 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.57541e-11 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.12876 +/- 0.6031 (28.33%) offset = -0.0736718 +/- 0.0008726 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:18:16 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.8339804010e+07 0.00e+00 7.13e+02 1.000000e+00 1.000000e+00 5 1.0772690335e+03 -1.46e-01 7.13e-03 -1.479370e+00 -5.119787e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.45669e-06 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.47937 +/- 0.4191 (28.33%) offset = -0.0511979 +/- 0.0006064 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:18:16 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.5669905135e+04 0.00e+00 2.54e+01 -1.479370e+00 -5.119787e-02 4 1.0772690335e+03 -1.58e-06 2.54e-03 -2.128760e+00 -7.367184e-02 After 4 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.57541e-11 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.12876 +/- 0.6031 (28.33%) offset = -0.0736718 +/- 0.0008726 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:18:57 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.8339804010e+07 0.00e+00 7.13e+02 1.000000e+00 1.000000e+00 5 1.0772690335e+03 -1.46e-01 7.13e-03 -1.479370e+00 -5.119787e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.45669e-06 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.47937 +/- 0.4191 (28.33%) offset = -0.0511979 +/- 0.0006064 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:18:57 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.5669905135e+04 0.00e+00 2.54e+01 -1.479370e+00 -5.119787e-02 4 1.0772690335e+03 -1.58e-06 2.54e-03 -2.128760e+00 -7.367184e-02 After 4 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.57541e-11 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.12876 +/- 0.6031 (28.33%) offset = -0.0736718 +/- 0.0008726 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:28:22 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.8339804010e+07 0.00e+00 7.13e+02 1.000000e+00 1.000000e+00 5 1.0772690335e+03 -1.46e-01 7.13e-03 -1.479370e+00 -5.119787e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.45669e-06 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.47937 +/- 0.4191 (28.33%) offset = -0.0511979 +/- 0.0006064 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:28:22 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.5669905135e+04 0.00e+00 2.54e+01 -1.479370e+00 -5.119787e-02 4 1.0772690335e+03 -1.58e-06 2.54e-03 -2.128760e+00 -7.367184e-02 After 4 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.57541e-11 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.12876 +/- 0.6031 (28.33%) offset = -0.0736718 +/- 0.0008726 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:29:14 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.8339804010e+07 0.00e+00 7.13e+02 1.000000e+00 1.000000e+00 5 1.0772690335e+03 -1.46e-01 7.13e-03 -1.479370e+00 -5.119787e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.45669e-06 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.47937 +/- 0.4191 (28.33%) offset = -0.0511979 +/- 0.0006064 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:29:14 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.5669905135e+04 0.00e+00 2.54e+01 -1.479370e+00 -5.119787e-02 4 1.0772690335e+03 -1.58e-06 2.54e-03 -2.128760e+00 -7.367184e-02 After 4 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.57541e-11 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.12876 +/- 0.6031 (28.33%) offset = -0.0736718 +/- 0.0008726 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:29:38 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.8339804010e+07 0.00e+00 7.13e+02 1.000000e+00 1.000000e+00 5 1.0772690335e+03 -1.46e-01 7.13e-03 -1.479370e+00 -5.119787e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.45669e-06 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.47937 +/- 0.4191 (28.33%) offset = -0.0511979 +/- 0.0006064 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:29:38 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.5669905135e+04 0.00e+00 2.54e+01 -1.479370e+00 -5.119787e-02 4 1.0772690335e+03 -1.58e-06 2.54e-03 -2.128760e+00 -7.367184e-02 After 4 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.57541e-11 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.12876 +/- 0.6031 (28.33%) offset = -0.0736718 +/- 0.0008726 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:32:17 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.8339804010e+07 0.00e+00 7.13e+02 1.000000e+00 1.000000e+00 5 1.0772690335e+03 -1.46e-01 7.13e-03 -1.479370e+00 -5.119787e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.45669e-06 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.47937 +/- 0.4191 (28.33%) offset = -0.0511979 +/- 0.0006064 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:32:17 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.5669905135e+04 0.00e+00 2.54e+01 -1.479370e+00 -5.119787e-02 4 1.0772690335e+03 -1.58e-06 2.54e-03 -2.128760e+00 -7.367184e-02 After 4 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.57541e-11 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.12876 +/- 0.6031 (28.33%) offset = -0.0736718 +/- 0.0008726 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:34:31 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 70 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 3.2166326383e+10 0.00e+00 1.61e+04 1.000000e+00 1.000000e+00 5 2.9096170632e+03 -1.72e-10 1.61e-01 -5.174687e-04 -1.379868e-04 After 5 iterations the fit converged. final sum of squares of residuals : 2909.62 rel. change during last iteration : -1.7192e-15 degrees of freedom (FIT_NDF) : 68 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.54129 variance of residuals (reduced chisquare) = WSSR/ndf : 42.7885 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.000517469 +/- 0.001125 (217.5%) offset = -0.000137987 +/- 7.138e-05 (51.73%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.876 1.000 ******************************************************************************* Sat Nov 12 18:40:01 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 51 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 3.2270417341e+10 0.00e+00 1.89e+04 1.000000e+00 1.000000e+00 5 3.0148571667e+03 -5.43e-10 1.89e-01 -1.126804e-03 -1.682792e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3014.86 rel. change during last iteration : -5.43008e-15 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.84396 variance of residuals (reduced chisquare) = WSSR/ndf : 61.5277 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0011268 +/- 0.001245 (110.5%) offset = -0.000168279 +/- 8.218e-05 (48.84%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.865 1.000 ******************************************************************************* Sat Nov 12 18:41:54 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.8339804010e+07 0.00e+00 7.13e+02 1.000000e+00 1.000000e+00 5 1.0772690335e+03 -1.46e-01 7.13e-03 -1.479370e+00 -5.119787e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.45669e-06 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.47937 +/- 0.4191 (28.33%) offset = -0.0511979 +/- 0.0006064 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:41:54 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.5669905135e+04 0.00e+00 2.54e+01 -1.479370e+00 -5.119787e-02 4 1.0772690335e+03 -1.58e-06 2.54e-03 -2.128760e+00 -7.367184e-02 After 4 iterations the fit converged. final sum of squares of residuals : 1077.27 rel. change during last iteration : -1.57541e-11 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.27303 variance of residuals (reduced chisquare) = WSSR/ndf : 18.2588 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.12876 +/- 0.6031 (28.33%) offset = -0.0736718 +/- 0.0008726 (1.184%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.447 1.000 ******************************************************************************* Sat Nov 12 18:45:34 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.1959620372e+07 0.00e+00 7.13e+02 1.000000e+00 1.000000e+00 5 1.0720888115e+03 -1.45e-01 7.13e-03 -1.459113e+00 -1.194106e-03 After 5 iterations the fit converged. final sum of squares of residuals : 1072.09 rel. change during last iteration : -1.45189e-06 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.26275 variance of residuals (reduced chisquare) = WSSR/ndf : 18.171 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.45911 +/- 0.419 (28.71%) offset = -0.00119411 +/- 0.0006042 (50.6%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.444 1.000 ******************************************************************************* Sat Nov 12 18:45:34 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.0929858272e+03 0.00e+00 1.20e+00 -1.459113e+00 -1.194106e-03 3 1.0720888115e+03 -3.54e-07 1.20e-03 -2.099610e+00 -1.718275e-03 After 3 iterations the fit converged. final sum of squares of residuals : 1072.09 rel. change during last iteration : -3.54182e-12 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.26275 variance of residuals (reduced chisquare) = WSSR/ndf : 18.171 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.09961 +/- 0.6029 (28.71%) offset = -0.00171827 +/- 0.0008695 (50.6%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.444 1.000 ******************************************************************************* Sat Nov 12 18:49:26 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.1959620372e+07 0.00e+00 7.13e+02 1.000000e+00 1.000000e+00 5 1.0720888115e+03 -1.45e-01 7.13e-03 -1.459113e+00 -1.194106e-03 After 5 iterations the fit converged. final sum of squares of residuals : 1072.09 rel. change during last iteration : -1.45189e-06 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.26275 variance of residuals (reduced chisquare) = WSSR/ndf : 18.171 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.45911 +/- 0.419 (28.71%) offset = -0.00119411 +/- 0.0006042 (50.6%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.444 1.000 ******************************************************************************* Sat Nov 12 18:49:26 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.0929858272e+03 0.00e+00 1.20e+00 -1.459113e+00 -1.194106e-03 3 1.0720888115e+03 -3.54e-07 1.20e-03 -2.099610e+00 -1.718275e-03 After 3 iterations the fit converged. final sum of squares of residuals : 1072.09 rel. change during last iteration : -3.54182e-12 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.26275 variance of residuals (reduced chisquare) = WSSR/ndf : 18.171 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.09961 +/- 0.6029 (28.71%) offset = -0.00171827 +/- 0.0008695 (50.6%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.444 1.000 ******************************************************************************* Sat Nov 12 18:52:26 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 51 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 3.2270417341e+10 0.00e+00 1.89e+04 1.000000e+00 1.000000e+00 5 3.0148571667e+03 -5.43e-10 1.89e-01 -1.126804e-03 -1.682792e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3014.86 rel. change during last iteration : -5.43008e-15 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.84396 variance of residuals (reduced chisquare) = WSSR/ndf : 61.5277 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.0011268 +/- 0.001245 (110.5%) offset = -0.000168279 +/- 8.218e-05 (48.84%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.865 1.000 ******************************************************************************* Sat Nov 12 18:55:19 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 95 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 7.3073678841e+10 0.00e+00 1.78e+04 1.000000e+00 1.000000e+00 4 3.0303510723e+03 -1.50e-11 1.78e+00 5.269456e-05 -1.128844e-04 After 4 iterations the fit converged. final sum of squares of residuals : 3030.35 rel. change during last iteration : -1.50064e-16 degrees of freedom (FIT_NDF) : 93 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.70828 variance of residuals (reduced chisquare) = WSSR/ndf : 32.5844 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 5.26946e-05 +/- 3.775e-05 (71.63%) offset = -0.000112884 +/- 3.064e-05 (27.14%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.215 1.000 ******************************************************************************* Sat Nov 12 18:56:33 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.1959620372e+07 0.00e+00 7.13e+02 1.000000e+00 1.000000e+00 5 1.0720888115e+03 -1.45e-01 7.13e-03 -1.459113e+00 -1.194106e-03 After 5 iterations the fit converged. final sum of squares of residuals : 1072.09 rel. change during last iteration : -1.45189e-06 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.26275 variance of residuals (reduced chisquare) = WSSR/ndf : 18.171 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.45911 +/- 0.419 (28.71%) offset = -0.00119411 +/- 0.0006042 (50.6%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.444 1.000 ******************************************************************************* Sat Nov 12 18:56:33 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.0929858272e+03 0.00e+00 1.20e+00 -1.459113e+00 -1.194106e-03 3 1.0720888115e+03 -3.54e-07 1.20e-03 -2.099610e+00 -1.718275e-03 After 3 iterations the fit converged. final sum of squares of residuals : 1072.09 rel. change during last iteration : -3.54182e-12 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.26275 variance of residuals (reduced chisquare) = WSSR/ndf : 18.171 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.09961 +/- 0.6029 (28.71%) offset = -0.00171827 +/- 0.0008695 (50.6%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.444 1.000 ******************************************************************************* Sun Nov 13 08:38:44 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 8.8753624138e+07 0.00e+00 8.53e+02 1.000000e+00 1.000000e+00 5 1.4893407804e+03 -1.67e-01 8.53e-03 -1.568174e+00 -1.097661e-03 After 5 iterations the fit converged. final sum of squares of residuals : 1489.34 rel. change during last iteration : -1.67377e-06 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.02425 variance of residuals (reduced chisquare) = WSSR/ndf : 25.2431 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.56817 +/- 0.4147 (26.44%) offset = -0.00109766 +/- 0.0005949 (54.2%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.444 1.000 ******************************************************************************* Sun Nov 13 08:38:44 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.5230160969e+03 0.00e+00 1.48e+00 -1.568174e+00 -1.097661e-03 3 1.4893407804e+03 -6.77e-07 1.48e-03 -2.256545e+00 -1.579494e-03 After 3 iterations the fit converged. final sum of squares of residuals : 1489.34 rel. change during last iteration : -6.76637e-12 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.02425 variance of residuals (reduced chisquare) = WSSR/ndf : 25.2431 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.25654 +/- 0.5967 (26.44%) offset = -0.00157949 +/- 0.0008561 (54.2%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.444 1.000 ******************************************************************************* Sun Nov 13 08:43:19 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 8.8793693023e+07 0.00e+00 8.54e+02 1.000000e+00 1.000000e+00 5 1.4894115252e+03 -1.68e-01 8.54e-03 -1.573765e+00 -1.103200e-03 After 5 iterations the fit converged. final sum of squares of residuals : 1489.41 rel. change during last iteration : -1.6789e-06 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.02437 variance of residuals (reduced chisquare) = WSSR/ndf : 25.2443 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.57376 +/- 0.4144 (26.33%) offset = -0.0011032 +/- 0.000595 (53.94%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.445 1.000 ******************************************************************************* Sun Nov 13 08:43:19 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.5233658235e+03 0.00e+00 1.49e+00 -1.573765e+00 -1.103200e-03 3 1.4894115252e+03 -6.83e-07 1.49e-03 -2.264590e+00 -1.587464e-03 After 3 iterations the fit converged. final sum of squares of residuals : 1489.41 rel. change during last iteration : -6.83291e-12 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.02437 variance of residuals (reduced chisquare) = WSSR/ndf : 25.2443 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.26459 +/- 0.5964 (26.33%) offset = -0.00158746 +/- 0.0008562 (53.94%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.445 1.000 ******************************************************************************* Wed Nov 16 02:15:08 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 67 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 4.6011316157e+10 0.00e+00 1.97e+04 1.000000e+00 1.000000e+00 5 4.3181629904e+03 -1.26e-10 1.97e-01 -1.461557e-03 -1.924627e-04 After 5 iterations the fit converged. final sum of squares of residuals : 4318.16 rel. change during last iteration : -1.26372e-15 degrees of freedom (FIT_NDF) : 65 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.15066 variance of residuals (reduced chisquare) = WSSR/ndf : 66.4333 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00146156 +/- 0.001101 (75.35%) offset = -0.000192463 +/- 7.224e-05 (37.53%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.868 1.000 ******************************************************************************* Fri Nov 18 10:59:26 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 9.3299694721e+07 0.00e+00 8.54e+02 1.000000e+00 1.000000e+00 5 1.4892830600e+03 -1.68e-01 8.54e-03 -1.573602e+00 -2.610275e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1489.28 rel. change during last iteration : -1.67916e-06 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.02415 variance of residuals (reduced chisquare) = WSSR/ndf : 25.2421 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -1.5736 +/- 0.4144 (26.34%) offset = -0.0261028 +/- 0.000595 (2.279%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.445 1.000 ******************************************************************************* Fri Nov 18 10:59:26 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 61 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.7340223160e+03 0.00e+00 1.55e+01 -1.573602e+00 -2.610275e-02 3 1.4892830600e+03 -1.51e-01 1.55e-02 -2.264354e+00 -3.756089e-02 After 3 iterations the fit converged. final sum of squares of residuals : 1489.28 rel. change during last iteration : -1.51273e-06 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.02415 variance of residuals (reduced chisquare) = WSSR/ndf : 25.2421 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -2.26435 +/- 0.5963 (26.34%) offset = -0.0375609 +/- 0.0008561 (2.279%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.445 1.000 ******************************************************************************* Fri Nov 18 11:00:36 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 67 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 4.6011316157e+10 0.00e+00 1.97e+04 1.000000e+00 1.000000e+00 5 4.3181629904e+03 -1.26e-10 1.97e-01 -1.461557e-03 -1.924627e-04 After 5 iterations the fit converged. final sum of squares of residuals : 4318.16 rel. change during last iteration : -1.26372e-15 degrees of freedom (FIT_NDF) : 65 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.15066 variance of residuals (reduced chisquare) = WSSR/ndf : 66.4333 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.00146156 +/- 0.001101 (75.35%) offset = -0.000192463 +/- 7.224e-05 (37.53%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.868 1.000