******************************************************************************* Wed Nov 16 20:19:37 2022 FIT: data read from 'VparamDependence.dat' u 30:16 format = x:z #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x**2 +b*x + c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.8758365734e+10 0.00e+00 1.99e+04 1.000000e+00 1.000000e+00 1.000000e+00 9 8.3065313949e+03 -4.60e-09 1.99e-05 -3.499977e-02 1.161683e+01 -5.203576e+02 After 9 iterations the fit converged. final sum of squares of residuals : 8306.53 rel. change during last iteration : -4.59864e-14 degrees of freedom (FIT_NDF) : 13 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 25.2777 variance of residuals (reduced chisquare) = WSSR/ndf : 638.964 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0349998 +/- 0.003062 (8.748%) b = 11.6168 +/- 1.13 (9.724%) c = -520.358 +/- 100.6 (19.33%) correlation matrix of the fit parameters: a b c a 1.000 b -0.990 1.000 c 0.962 -0.990 1.000 ******************************************************************************* Thu Nov 17 08:20:18 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 46 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 1.6393840316e+07 0.00e+00 4.12e+02 1.000000e+00 1.000000e+00 6 4.7312876425e+02 -3.60e-08 4.12e-04 1.082304e+01 -2.538123e-02 After 6 iterations the fit converged. final sum of squares of residuals : 473.129 rel. change during last iteration : -3.60311e-13 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27917 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7529 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 10.823 +/- 0.7171 (6.626%) offset = -0.0253812 +/- 0.0008399 (3.309%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.160 1.000 ******************************************************************************* Thu Nov 17 08:20:18 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 46 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 1.4948548676e+03 0.00e+00 8.13e+00 1.082304e+01 -2.538123e-02 3 4.7312876425e+02 -5.27e-05 8.13e-03 1.557396e+01 -3.652265e-02 After 3 iterations the fit converged. final sum of squares of residuals : 473.129 rel. change during last iteration : -5.26545e-10 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27917 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7529 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 15.574 +/- 1.032 (6.626%) offset = -0.0365227 +/- 0.001209 (3.309%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.160 1.000 ******************************************************************************* Thu Nov 17 08:40:08 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 46 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 1.4038368507e+07 0.00e+00 4.12e+02 1.000000e+00 1.000000e+00 6 4.6548864129e+02 -3.62e-08 4.12e-04 1.080876e+01 4.960988e-02 After 6 iterations the fit converged. final sum of squares of residuals : 465.489 rel. change during last iteration : -3.62439e-13 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25258 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5793 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 10.8088 +/- 0.7119 (6.587%) offset = 0.0496099 +/- 0.0008343 (1.682%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.161 1.000 ******************************************************************************* Thu Nov 17 08:40:08 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 46 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 4.5644558687e+03 0.00e+00 1.47e+01 1.080876e+01 4.960988e-02 3 4.6548864129e+02 -3.52e-03 1.47e-02 1.555340e+01 7.138678e-02 After 3 iterations the fit converged. final sum of squares of residuals : 465.489 rel. change during last iteration : -3.52063e-08 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25258 variance of residuals (reduced chisquare) = WSSR/ndf : 10.5793 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 15.5534 +/- 1.024 (6.587%) offset = 0.0713868 +/- 0.001201 (1.682%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.161 1.000 ******************************************************************************* Thu Nov 17 08:41:53 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 46 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 1.5552586745e+07 0.00e+00 4.12e+02 1.000000e+00 1.000000e+00 6 4.7136296637e+02 -3.60e-08 4.12e-04 1.082898e+01 -3.899316e-04 After 6 iterations the fit converged. final sum of squares of residuals : 471.363 rel. change during last iteration : -3.59611e-13 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27304 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7128 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 10.829 +/- 0.7166 (6.618%) offset = -0.000389932 +/- 0.0008398 (215.4%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.161 1.000 ******************************************************************************* Thu Nov 17 08:41:53 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 46 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 7.0300755008e+02 0.00e+00 3.63e+00 1.082898e+01 -3.899316e-04 3 4.7136296637e+02 -4.38e-01 3.63e-03 1.558249e+01 -5.610773e-04 After 3 iterations the fit converged. final sum of squares of residuals : 471.363 rel. change during last iteration : -4.38316e-06 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27304 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7128 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 15.5825 +/- 1.031 (6.618%) offset = -0.000561077 +/- 0.001208 (215.4%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.161 1.000 ******************************************************************************* Thu Nov 17 08:43:53 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 77 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 3.7160475156e+10 0.00e+00 1.36e+04 1.000000e+00 1.000000e+00 4 7.7864171771e+02 -7.30e-11 1.36e+00 -3.408474e-04 1.682015e-04 After 4 iterations the fit converged. final sum of squares of residuals : 778.642 rel. change during last iteration : -7.30033e-16 degrees of freedom (FIT_NDF) : 75 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22209 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3819 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.000340847 +/- 3.519e-05 (10.32%) offset = 0.000168201 +/- 2.443e-05 (14.53%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.317 1.000 ******************************************************************************* Thu Nov 17 11:43:49 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 77 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 3.7160475156e+10 0.00e+00 1.36e+04 1.000000e+00 1.000000e+00 4 7.7864171771e+02 -7.30e-11 1.36e+00 -3.408474e-04 1.682015e-04 After 4 iterations the fit converged. final sum of squares of residuals : 778.642 rel. change during last iteration : -7.30033e-16 degrees of freedom (FIT_NDF) : 75 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22209 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3819 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.000340847 +/- 3.519e-05 (10.32%) offset = 0.000168201 +/- 2.443e-05 (14.53%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.317 1.000 ******************************************************************************* Thu Nov 17 11:45:12 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 77 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 3.7160475156e+10 0.00e+00 1.36e+04 1.000000e+00 1.000000e+00 4 7.7864171771e+02 -7.30e-11 1.36e+00 -3.408474e-04 1.682015e-04 After 4 iterations the fit converged. final sum of squares of residuals : 778.642 rel. change during last iteration : -7.30033e-16 degrees of freedom (FIT_NDF) : 75 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22209 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3819 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.000340847 +/- 3.519e-05 (10.32%) offset = 0.000168201 +/- 2.443e-05 (14.53%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.317 1.000 ******************************************************************************* Thu Nov 17 11:46:14 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 77 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 3.7160475156e+10 0.00e+00 1.36e+04 1.000000e+00 1.000000e+00 4 7.7864171771e+02 -7.30e-11 1.36e+00 -3.408474e-04 1.682015e-04 After 4 iterations the fit converged. final sum of squares of residuals : 778.642 rel. change during last iteration : -7.30033e-16 degrees of freedom (FIT_NDF) : 75 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22209 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3819 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.000340847 +/- 3.519e-05 (10.32%) offset = 0.000168201 +/- 2.443e-05 (14.53%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.317 1.000 ******************************************************************************* Thu Nov 17 11:49:15 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 77 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 3.7160475156e+10 0.00e+00 1.36e+04 1.000000e+00 1.000000e+00 4 7.7864171771e+02 -7.30e-11 1.36e+00 -3.408474e-04 1.682015e-04 After 4 iterations the fit converged. final sum of squares of residuals : 778.642 rel. change during last iteration : -7.30033e-16 degrees of freedom (FIT_NDF) : 75 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22209 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3819 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.000340847 +/- 3.519e-05 (10.32%) offset = 0.000168201 +/- 2.443e-05 (14.53%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.317 1.000 ******************************************************************************* Thu Nov 17 11:51:20 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 77 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 3.7160475156e+10 0.00e+00 1.36e+04 1.000000e+00 1.000000e+00 4 7.7864171771e+02 -7.30e-11 1.36e+00 -3.408474e-04 1.682015e-04 After 4 iterations the fit converged. final sum of squares of residuals : 778.642 rel. change during last iteration : -7.30033e-16 degrees of freedom (FIT_NDF) : 75 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22209 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3819 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.000340847 +/- 3.519e-05 (10.32%) offset = 0.000168201 +/- 2.443e-05 (14.53%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.317 1.000 ******************************************************************************* Thu Nov 17 11:52:58 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 77 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 3.7160475156e+10 0.00e+00 1.36e+04 1.000000e+00 1.000000e+00 4 7.7864171771e+02 -7.30e-11 1.36e+00 -3.408474e-04 1.682015e-04 After 4 iterations the fit converged. final sum of squares of residuals : 778.642 rel. change during last iteration : -7.30033e-16 degrees of freedom (FIT_NDF) : 75 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22209 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3819 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.000340847 +/- 3.519e-05 (10.32%) offset = 0.000168201 +/- 2.443e-05 (14.53%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.317 1.000 ******************************************************************************* Thu Nov 17 11:54:30 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 77 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 3.7160475156e+10 0.00e+00 1.36e+04 1.000000e+00 1.000000e+00 4 7.7864171771e+02 -7.30e-11 1.36e+00 -3.408474e-04 1.682015e-04 After 4 iterations the fit converged. final sum of squares of residuals : 778.642 rel. change during last iteration : -7.30033e-16 degrees of freedom (FIT_NDF) : 75 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22209 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3819 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.000340847 +/- 3.519e-05 (10.32%) offset = 0.000168201 +/- 2.443e-05 (14.53%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.317 1.000 ******************************************************************************* Thu Nov 17 11:55:11 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 77 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 3.7160475156e+10 0.00e+00 1.36e+04 1.000000e+00 1.000000e+00 4 7.7864171771e+02 -7.30e-11 1.36e+00 -3.408474e-04 1.682015e-04 After 4 iterations the fit converged. final sum of squares of residuals : 778.642 rel. change during last iteration : -7.30033e-16 degrees of freedom (FIT_NDF) : 75 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22209 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3819 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.000340847 +/- 3.519e-05 (10.32%) offset = 0.000168201 +/- 2.443e-05 (14.53%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.317 1.000 ******************************************************************************* Thu Nov 17 11:56:10 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 77 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 3.7160475156e+10 0.00e+00 1.36e+04 1.000000e+00 1.000000e+00 4 7.7864171771e+02 -7.30e-11 1.36e+00 -3.408474e-04 1.682015e-04 After 4 iterations the fit converged. final sum of squares of residuals : 778.642 rel. change during last iteration : -7.30033e-16 degrees of freedom (FIT_NDF) : 75 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22209 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3819 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.000340847 +/- 3.519e-05 (10.32%) offset = 0.000168201 +/- 2.443e-05 (14.53%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.317 1.000 ******************************************************************************* Thu Nov 17 11:57:49 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 77 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 3.7160475156e+10 0.00e+00 1.36e+04 1.000000e+00 1.000000e+00 4 7.7864171771e+02 -7.30e-11 1.36e+00 -3.408474e-04 1.682015e-04 After 4 iterations the fit converged. final sum of squares of residuals : 778.642 rel. change during last iteration : -7.30033e-16 degrees of freedom (FIT_NDF) : 75 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.22209 variance of residuals (reduced chisquare) = WSSR/ndf : 10.3819 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.000340847 +/- 3.519e-05 (10.32%) offset = 0.000168201 +/- 2.443e-05 (14.53%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.317 1.000 ******************************************************************************* Thu Nov 17 11:58:58 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 46 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 1.5552586745e+07 0.00e+00 4.12e+02 1.000000e+00 1.000000e+00 6 4.7136296637e+02 -3.60e-08 4.12e-04 1.082898e+01 -3.899316e-04 After 6 iterations the fit converged. final sum of squares of residuals : 471.363 rel. change during last iteration : -3.59611e-13 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27304 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7128 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 10.829 +/- 0.7166 (6.618%) offset = -0.000389932 +/- 0.0008398 (215.4%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.161 1.000 ******************************************************************************* Thu Nov 17 11:58:58 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 46 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 7.0300755008e+02 0.00e+00 3.63e+00 1.082898e+01 -3.899316e-04 3 4.7136296637e+02 -4.38e-01 3.63e-03 1.558249e+01 -5.610773e-04 After 3 iterations the fit converged. final sum of squares of residuals : 471.363 rel. change during last iteration : -4.38316e-06 degrees of freedom (FIT_NDF) : 44 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.27304 variance of residuals (reduced chisquare) = WSSR/ndf : 10.7128 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 15.5825 +/- 1.031 (6.618%) offset = -0.000561077 +/- 0.001208 (215.4%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.161 1.000