******************************************************************************* Wed Mar 25 22:35:16 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3671960212e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 6.3876113273e-03 -4.23e-03 2.75e-05 9.319596e+01 1.532930e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00638761 rel. change during last iteration : -4.23092e-08 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0302079 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000912516 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 93.196 +/- 0.7435 (0.7978%) bc = 0.153293 +/- 0.02705 (17.65%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 22:35:16 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9623070037e+05 0.00e+00 3.87e+02 9.000000e+01 1.000000e+00 10 7.9475853345e-02 -9.93e-01 3.87e-08 5.395333e+02 2.313413e-01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0794759 rel. change during last iteration : -9.9322e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0532769 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00283842 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 539.533 +/- 2.703 (0.501%) bv = 0.231341 +/- 0.01271 (5.495%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.644 1.000 ******************************************************************************* Wed Mar 25 22:47:25 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3924798072e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 2.6459379332e-03 -1.42e-01 2.75e-05 9.223815e+01 1.179839e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00264594 rel. change during last iteration : -1.42363e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.019442 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000377991 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2382 +/- 0.4592 (0.4978%) bc = 0.117984 +/- 0.01741 (14.76%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 22:47:25 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9609801112e+05 0.00e+00 3.87e+02 9.000000e+01 1.000000e+00 10 9.3591479572e-02 -6.62e-01 3.87e-08 5.364112e+02 2.270911e-01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0935915 rel. change during last iteration : -6.62463e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578148 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334255 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 536.411 +/- 2.866 (0.5343%) bv = 0.227091 +/- 0.0138 (6.075%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.644 1.000 ******************************************************************************* Wed Mar 25 22:48:07 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3924798072e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 2.6459379332e-03 -1.42e-01 2.75e-05 9.223815e+01 1.179839e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00264594 rel. change during last iteration : -1.42363e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.019442 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000377991 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2382 +/- 0.4592 (0.4978%) bc = 0.117984 +/- 0.01741 (14.76%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 22:48:07 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9609801112e+05 0.00e+00 3.87e+02 9.000000e+01 1.000000e+00 10 9.3591479572e-02 -6.62e-01 3.87e-08 5.364112e+02 2.270911e-01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0935915 rel. change during last iteration : -6.62463e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578148 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334255 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 536.411 +/- 2.866 (0.5343%) bv = 0.227091 +/- 0.0138 (6.075%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.644 1.000 ******************************************************************************* Wed Mar 25 22:49:50 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3924798072e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 2.6459379332e-03 -1.42e-01 2.75e-05 9.223815e+01 1.179839e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00264594 rel. change during last iteration : -1.42363e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.019442 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000377991 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2382 +/- 0.4592 (0.4978%) bc = 0.117984 +/- 0.01741 (14.76%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 22:49:50 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9609801112e+05 0.00e+00 3.87e+02 9.000000e+01 1.000000e+00 10 9.3591479572e-02 -6.62e-01 3.87e-08 5.364112e+02 2.270911e-01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0935915 rel. change during last iteration : -6.62463e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578148 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334255 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 536.411 +/- 2.866 (0.5343%) bv = 0.227091 +/- 0.0138 (6.075%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.644 1.000 ******************************************************************************* Wed Mar 25 22:50:28 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3924798072e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 2.6459379332e-03 -1.42e-01 2.75e-05 9.223815e+01 1.179839e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00264594 rel. change during last iteration : -1.42363e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.019442 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000377991 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2382 +/- 0.4592 (0.4978%) bc = 0.117984 +/- 0.01741 (14.76%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 22:50:28 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9609801112e+05 0.00e+00 3.87e+02 9.000000e+01 1.000000e+00 10 9.3591479572e-02 -6.62e-01 3.87e-08 5.364112e+02 2.270911e-01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0935915 rel. change during last iteration : -6.62463e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578148 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334255 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 536.411 +/- 2.866 (0.5343%) bv = 0.227091 +/- 0.0138 (6.075%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.644 1.000 ******************************************************************************* Wed Mar 25 22:50:35 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3924798072e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 2.6459379332e-03 -1.42e-01 2.75e-05 9.223815e+01 1.179839e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00264594 rel. change during last iteration : -1.42363e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.019442 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000377991 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2382 +/- 0.4592 (0.4978%) bc = 0.117984 +/- 0.01741 (14.76%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 22:50:35 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9609801112e+05 0.00e+00 3.87e+02 9.000000e+01 1.000000e+00 10 9.3591479572e-02 -6.62e-01 3.87e-08 5.364112e+02 2.270911e-01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0935915 rel. change during last iteration : -6.62463e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578148 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334255 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 536.411 +/- 2.866 (0.5343%) bv = 0.227091 +/- 0.0138 (6.075%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.644 1.000 ******************************************************************************* Wed Mar 25 22:51:14 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3924798072e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 2.6459379332e-03 -1.42e-01 2.75e-05 9.223815e+01 1.179839e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00264594 rel. change during last iteration : -1.42363e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.019442 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000377991 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2382 +/- 0.4592 (0.4978%) bc = 0.117984 +/- 0.01741 (14.76%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 22:51:14 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9609801112e+05 0.00e+00 3.87e+02 9.000000e+01 1.000000e+00 10 9.3591479572e-02 -6.62e-01 3.87e-08 5.364112e+02 2.270911e-01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0935915 rel. change during last iteration : -6.62463e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578148 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334255 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 536.411 +/- 2.866 (0.5343%) bv = 0.227091 +/- 0.0138 (6.075%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.644 1.000 ******************************************************************************* Wed Mar 25 22:54:47 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3924798072e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 2.6459379332e-03 -1.42e-01 2.75e-05 9.223815e+01 1.179839e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00264594 rel. change during last iteration : -1.42363e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.019442 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000377991 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2382 +/- 0.4592 (0.4978%) bc = 0.117984 +/- 0.01741 (14.76%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 22:54:47 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9609801112e+05 0.00e+00 3.87e+02 9.000000e+01 1.000000e+00 10 9.3591479572e-02 -6.62e-01 3.87e-08 5.364112e+02 2.270911e-01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0935915 rel. change during last iteration : -6.62463e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578148 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334255 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 536.411 +/- 2.866 (0.5343%) bv = 0.227091 +/- 0.0138 (6.075%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.644 1.000 ******************************************************************************* Wed Mar 25 22:56:01 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3924798072e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 2.6459379332e-03 -1.42e-01 2.75e-05 9.223815e+01 1.179839e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00264594 rel. change during last iteration : -1.42363e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.019442 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000377991 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2382 +/- 0.4592 (0.4978%) bc = 0.117984 +/- 0.01741 (14.76%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 22:56:01 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9609801112e+05 0.00e+00 3.87e+02 9.000000e+01 1.000000e+00 10 9.3591479572e-02 -6.62e-01 3.87e-08 5.364112e+02 2.270911e-01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0935915 rel. change during last iteration : -6.62463e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578148 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334255 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 536.411 +/- 2.866 (0.5343%) bv = 0.227091 +/- 0.0138 (6.075%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.644 1.000 ******************************************************************************* Wed Mar 25 22:57:03 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3924798072e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 2.6459379332e-03 -1.42e-01 2.75e-05 9.223815e+01 1.179839e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00264594 rel. change during last iteration : -1.42363e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.019442 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000377991 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2382 +/- 0.4592 (0.4978%) bc = 0.117984 +/- 0.01741 (14.76%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 22:57:03 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9609801112e+05 0.00e+00 3.87e+02 9.000000e+01 1.000000e+00 10 9.3591479572e-02 -6.62e-01 3.87e-08 5.364112e+02 2.270911e-01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0935915 rel. change during last iteration : -6.62463e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578148 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334255 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 536.411 +/- 2.866 (0.5343%) bv = 0.227091 +/- 0.0138 (6.075%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.644 1.000 ******************************************************************************* Wed Mar 25 22:57:31 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3924798072e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 2.6459379332e-03 -1.42e-01 2.75e-05 9.223815e+01 1.179839e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00264594 rel. change during last iteration : -1.42363e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.019442 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000377991 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2382 +/- 0.4592 (0.4978%) bc = 0.117984 +/- 0.01741 (14.76%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 22:57:31 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9609801112e+05 0.00e+00 3.87e+02 9.000000e+01 1.000000e+00 10 9.3591479572e-02 -6.62e-01 3.87e-08 5.364112e+02 2.270911e-01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0935915 rel. change during last iteration : -6.62463e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578148 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334255 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 536.411 +/- 2.866 (0.5343%) bv = 0.227091 +/- 0.0138 (6.075%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.644 1.000 ******************************************************************************* Wed Mar 25 22:57:59 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3924798072e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 2.6459379332e-03 -1.42e-01 2.75e-05 9.223815e+01 1.179839e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00264594 rel. change during last iteration : -1.42363e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.019442 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000377991 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2382 +/- 0.4592 (0.4978%) bc = 0.117984 +/- 0.01741 (14.76%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 22:57:59 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9609801112e+05 0.00e+00 3.87e+02 9.000000e+01 1.000000e+00 10 9.3591479572e-02 -6.62e-01 3.87e-08 5.364112e+02 2.270911e-01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0935915 rel. change during last iteration : -6.62463e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578148 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334255 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 536.411 +/- 2.866 (0.5343%) bv = 0.227091 +/- 0.0138 (6.075%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.644 1.000 ******************************************************************************* Wed Mar 25 22:58:14 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3924798072e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 2.6459379332e-03 -1.42e-01 2.75e-05 9.223815e+01 1.179839e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00264594 rel. change during last iteration : -1.42363e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.019442 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000377991 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2382 +/- 0.4592 (0.4978%) bc = 0.117984 +/- 0.01741 (14.76%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 22:58:14 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9609801112e+05 0.00e+00 3.87e+02 9.000000e+01 1.000000e+00 10 9.3591479572e-02 -6.62e-01 3.87e-08 5.364112e+02 2.270911e-01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0935915 rel. change during last iteration : -6.62463e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578148 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334255 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 536.411 +/- 2.866 (0.5343%) bv = 0.227091 +/- 0.0138 (6.075%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.644 1.000 ******************************************************************************* Wed Mar 25 22:59:16 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac 0 2.3664992391e-02 0.00e+00 3.77e+00 9.000000e+01 3 2.0004302430e-02 -5.15e-04 3.77e-03 8.952395e+01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0200043 rel. change during last iteration : -5.14926e-09 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0500054 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00250054 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 89.5239 +/- 0.3901 (0.4357%) ******************************************************************************* Wed Mar 25 22:59:16 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av 0 9.8906153490e+05 0.00e+00 5.47e+02 9.000000e+01 10 9.9933762385e-01 -8.53e-03 5.47e-08 5.091253e+02 After 10 iterations the fit converged. final sum of squares of residuals : 0.999338 rel. change during last iteration : -8.53328e-08 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.185634 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0344599 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 509.125 +/- 5.714 (1.122%) ******************************************************************************* Wed Mar 25 22:59:35 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac 0 2.3664992391e-02 0.00e+00 3.77e+00 9.000000e+01 3 2.0004302430e-02 -5.15e-04 3.77e-03 8.952395e+01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0200043 rel. change during last iteration : -5.14926e-09 degrees of freedom (FIT_NDF) : 8 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0500054 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00250054 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 89.5239 +/- 0.3901 (0.4357%) ******************************************************************************* Wed Mar 25 22:59:35 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values Warning: Initial value of parameter 'bv' is zero. iter chisq delta/lim lambda av bv 0 9.8906153490e+05 0.00e+00 3.87e+02 9.000000e+01 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed Mar 25 22:59:53 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3924798072e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 2.6459379332e-03 -1.42e-01 2.75e-05 9.223815e+01 1.179839e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00264594 rel. change during last iteration : -1.42363e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.019442 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000377991 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2382 +/- 0.4592 (0.4978%) bc = 0.117984 +/- 0.01741 (14.76%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 22:59:53 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9609801112e+05 0.00e+00 3.87e+02 9.000000e+01 1.000000e+00 10 9.3591479572e-02 -6.62e-01 3.87e-08 5.364112e+02 2.270911e-01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0935915 rel. change during last iteration : -6.62463e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578148 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334255 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 536.411 +/- 2.866 (0.5343%) bv = 0.227091 +/- 0.0138 (6.075%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.644 1.000 ******************************************************************************* Wed Mar 25 23:02:47 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3924798072e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 2.6459379332e-03 -1.42e-01 2.75e-05 9.223815e+01 1.179839e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00264594 rel. change during last iteration : -1.42363e-06 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.019442 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000377991 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2382 +/- 0.4592 (0.4978%) bc = 0.117984 +/- 0.01741 (14.76%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:02:47 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 30 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9609801112e+05 0.00e+00 3.87e+02 9.000000e+01 1.000000e+00 10 9.3591479572e-02 -6.62e-01 3.87e-08 5.364112e+02 2.270911e-01 After 10 iterations the fit converged. final sum of squares of residuals : 0.0935915 rel. change during last iteration : -6.62463e-06 degrees of freedom (FIT_NDF) : 28 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578148 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334255 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 536.411 +/- 2.866 (0.5343%) bv = 0.227091 +/- 0.0138 (6.075%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.644 1.000 ******************************************************************************* Wed Mar 25 23:04:09 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3928722078e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 1.0018954949e-02 -1.18e-03 2.75e-05 9.343360e+01 1.601821e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.010019 rel. change during last iteration : -1.18296e-08 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0378323 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00143128 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 93.4336 +/- 0.9407 (1.007%) bc = 0.160182 +/- 0.03388 (21.15%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:04:09 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9602792202e+05 0.00e+00 4.62e+02 9.000000e+01 1.000000e+00 11 5.1383588602e-02 -7.13e-06 4.62e-09 5.429229e+02 2.796563e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0513836 rel. change during last iteration : -7.1325e-11 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0520038 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0027044 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 542.923 +/- 3.228 (0.5945%) bv = 0.279656 +/- 0.0177 (6.327%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.767 1.000 ******************************************************************************* Wed Mar 25 23:11:48 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.1366805479e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 1.0491150017e-02 -6.46e-03 2.75e-05 9.271128e+01 1.500543e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0104912 rel. change during last iteration : -6.46183e-08 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0387135 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00149874 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.7113 +/- 0.9332 (1.007%) bc = 0.150054 +/- 0.03467 (23.1%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:11:48 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9607050273e+05 0.00e+00 4.62e+02 9.000000e+01 1.000000e+00 11 3.7966287428e-02 -1.12e-05 4.62e-09 5.451702e+02 2.895260e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0379663 rel. change during last iteration : -1.12051e-10 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0447015 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00199823 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 545.17 +/- 2.821 (0.5174%) bv = 0.289526 +/- 0.01521 (5.254%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.767 1.000 ******************************************************************************* Wed Mar 25 23:14:23 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.1366805479e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 1.0491150017e-02 -6.46e-03 2.75e-05 9.271128e+01 1.500543e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0104912 rel. change during last iteration : -6.46183e-08 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0387135 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00149874 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.7113 +/- 0.9332 (1.007%) bc = 0.150054 +/- 0.03467 (23.1%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:14:23 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.9607050273e+05 0.00e+00 4.62e+02 9.000000e+01 1.000000e+00 11 3.7966287428e-02 -1.12e-05 4.62e-09 5.451702e+02 2.895260e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0379663 rel. change during last iteration : -1.12051e-10 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0447015 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00199823 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 545.17 +/- 2.821 (0.5174%) bv = 0.289526 +/- 0.01521 (5.254%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.767 1.000 ******************************************************************************* Wed Mar 25 23:15:57 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.2476633189e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.8282334938e-03 -1.35e-02 2.75e-05 9.264221e+01 1.409976e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00782823 rel. change during last iteration : -1.35331e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0334413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00111832 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.6422 +/- 0.8037 (0.8675%) bc = 0.140998 +/- 0.02995 (21.24%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:15:57 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8195353066e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 3.6830972562e-02 -1.13e-05 5.83e-09 5.434768e+02 2.620803e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.036831 rel. change during last iteration : -1.13237e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578642 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334827 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 543.477 +/- 5.357 (0.9857%) bv = 0.26208 +/- 0.03691 (14.08%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:17:47 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.2476633189e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.8282334938e-03 -1.35e-02 2.75e-05 9.264221e+01 1.409976e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00782823 rel. change during last iteration : -1.35331e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0334413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00111832 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.6422 +/- 0.8037 (0.8675%) bc = 0.140998 +/- 0.02995 (21.24%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:17:47 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8195353066e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 3.6830972562e-02 -1.13e-05 5.83e-09 5.434768e+02 2.620803e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.036831 rel. change during last iteration : -1.13237e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578642 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334827 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 543.477 +/- 5.357 (0.9857%) bv = 0.26208 +/- 0.03691 (14.08%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:18:25 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.2476633189e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.8282334938e-03 -1.35e-02 2.75e-05 9.264221e+01 1.409976e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00782823 rel. change during last iteration : -1.35331e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0334413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00111832 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.6422 +/- 0.8037 (0.8675%) bc = 0.140998 +/- 0.02995 (21.24%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:18:25 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8195353066e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 3.6830972562e-02 -1.13e-05 5.83e-09 5.434768e+02 2.620803e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.036831 rel. change during last iteration : -1.13237e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578642 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334827 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 543.477 +/- 5.357 (0.9857%) bv = 0.26208 +/- 0.03691 (14.08%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:18:53 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.2476633189e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.8282334938e-03 -1.35e-02 2.75e-05 9.264221e+01 1.409976e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00782823 rel. change during last iteration : -1.35331e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0334413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00111832 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.6422 +/- 0.8037 (0.8675%) bc = 0.140998 +/- 0.02995 (21.24%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:18:53 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8195353066e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 3.6830972562e-02 -1.13e-05 5.83e-09 5.434768e+02 2.620803e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.036831 rel. change during last iteration : -1.13237e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578642 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334827 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 543.477 +/- 5.357 (0.9857%) bv = 0.26208 +/- 0.03691 (14.08%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:19:32 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.2476633189e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.8282334938e-03 -1.35e-02 2.75e-05 9.264221e+01 1.409976e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00782823 rel. change during last iteration : -1.35331e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0334413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00111832 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.6422 +/- 0.8037 (0.8675%) bc = 0.140998 +/- 0.02995 (21.24%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:19:32 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8195353066e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 3.6830972562e-02 -1.13e-05 5.83e-09 5.434768e+02 2.620803e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.036831 rel. change during last iteration : -1.13237e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578642 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334827 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 543.477 +/- 5.357 (0.9857%) bv = 0.26208 +/- 0.03691 (14.08%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:20:06 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.2476633189e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.8282334938e-03 -1.35e-02 2.75e-05 9.264221e+01 1.409976e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00782823 rel. change during last iteration : -1.35331e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0334413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00111832 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.6422 +/- 0.8037 (0.8675%) bc = 0.140998 +/- 0.02995 (21.24%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:20:06 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8195353066e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 3.6830972562e-02 -1.13e-05 5.83e-09 5.434768e+02 2.620803e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.036831 rel. change during last iteration : -1.13237e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578642 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334827 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 543.477 +/- 5.357 (0.9857%) bv = 0.26208 +/- 0.03691 (14.08%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:20:17 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.2476633189e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.8282334938e-03 -1.35e-02 2.75e-05 9.264221e+01 1.409976e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00782823 rel. change during last iteration : -1.35331e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0334413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00111832 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.6422 +/- 0.8037 (0.8675%) bc = 0.140998 +/- 0.02995 (21.24%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:20:17 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8195353066e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 3.6830972562e-02 -1.13e-05 5.83e-09 5.434768e+02 2.620803e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.036831 rel. change during last iteration : -1.13237e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578642 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334827 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 543.477 +/- 5.357 (0.9857%) bv = 0.26208 +/- 0.03691 (14.08%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:20:38 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.2476633189e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.8282334938e-03 -1.35e-02 2.75e-05 9.264221e+01 1.409976e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00782823 rel. change during last iteration : -1.35331e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0334413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00111832 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.6422 +/- 0.8037 (0.8675%) bc = 0.140998 +/- 0.02995 (21.24%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:20:38 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8195353066e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 3.6830972562e-02 -1.13e-05 5.83e-09 5.434768e+02 2.620803e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.036831 rel. change during last iteration : -1.13237e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578642 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334827 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 543.477 +/- 5.357 (0.9857%) bv = 0.26208 +/- 0.03691 (14.08%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:21:32 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.2476633189e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.8282334938e-03 -1.35e-02 2.75e-05 9.264221e+01 1.409976e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00782823 rel. change during last iteration : -1.35331e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0334413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00111832 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.6422 +/- 0.8037 (0.8675%) bc = 0.140998 +/- 0.02995 (21.24%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:21:32 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8195353066e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 3.6830972562e-02 -1.13e-05 5.83e-09 5.434768e+02 2.620803e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.036831 rel. change during last iteration : -1.13237e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578642 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334827 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 543.477 +/- 5.357 (0.9857%) bv = 0.26208 +/- 0.03691 (14.08%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:21:41 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.2476633189e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.8282334938e-03 -1.35e-02 2.75e-05 9.264221e+01 1.409976e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00782823 rel. change during last iteration : -1.35331e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0334413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00111832 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.6422 +/- 0.8037 (0.8675%) bc = 0.140998 +/- 0.02995 (21.24%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:21:41 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8195353066e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 3.6830972562e-02 -1.13e-05 5.83e-09 5.434768e+02 2.620803e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.036831 rel. change during last iteration : -1.13237e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578642 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334827 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 543.477 +/- 5.357 (0.9857%) bv = 0.26208 +/- 0.03691 (14.08%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:22:20 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.2476633189e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.8282334938e-03 -1.35e-02 2.75e-05 9.264221e+01 1.409976e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00782823 rel. change during last iteration : -1.35331e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0334413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00111832 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.6422 +/- 0.8037 (0.8675%) bc = 0.140998 +/- 0.02995 (21.24%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:22:20 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8195353066e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 3.6830972562e-02 -1.13e-05 5.83e-09 5.434768e+02 2.620803e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.036831 rel. change during last iteration : -1.13237e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578642 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334827 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 543.477 +/- 5.357 (0.9857%) bv = 0.26208 +/- 0.03691 (14.08%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:22:34 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.2476633189e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.8282334938e-03 -1.35e-02 2.75e-05 9.264221e+01 1.409976e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00782823 rel. change during last iteration : -1.35331e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0334413 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00111832 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.6422 +/- 0.8037 (0.8675%) bc = 0.140998 +/- 0.02995 (21.24%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:22:34 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8195353066e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 3.6830972562e-02 -1.13e-05 5.83e-09 5.434768e+02 2.620803e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.036831 rel. change during last iteration : -1.13237e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0578642 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00334827 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 543.477 +/- 5.357 (0.9857%) bv = 0.26208 +/- 0.03691 (14.08%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:24:43 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3366380788e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.1604946112e-03 -9.43e-02 2.75e-05 9.191555e+01 1.098606e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00716049 rel. change during last iteration : -9.42737e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0319832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00102293 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 91.9155 +/- 0.7448 (0.8103%) bc = 0.109861 +/- 0.02864 (26.07%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:24:43 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8192559650e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 2.7365444767e-02 -1.72e-05 5.83e-09 5.452782e+02 2.801302e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0273654 rel. change during last iteration : -1.71979e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0498775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00248777 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 545.278 +/- 4.679 (0.8581%) bv = 0.28013 +/- 0.03182 (11.36%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:26:24 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3366380788e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.1604946112e-03 -9.43e-02 2.75e-05 9.191555e+01 1.098606e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00716049 rel. change during last iteration : -9.42737e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0319832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00102293 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 91.9155 +/- 0.7448 (0.8103%) bc = 0.109861 +/- 0.02864 (26.07%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:26:24 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8192559650e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 2.7365444767e-02 -1.72e-05 5.83e-09 5.452782e+02 2.801302e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0273654 rel. change during last iteration : -1.71979e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0498775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00248777 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 545.278 +/- 4.679 (0.8581%) bv = 0.28013 +/- 0.03182 (11.36%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:26:41 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3366380788e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.1604946112e-03 -9.43e-02 2.75e-05 9.191555e+01 1.098606e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00716049 rel. change during last iteration : -9.42737e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0319832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00102293 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 91.9155 +/- 0.7448 (0.8103%) bc = 0.109861 +/- 0.02864 (26.07%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:26:41 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8192559650e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 2.7365444767e-02 -1.72e-05 5.83e-09 5.452782e+02 2.801302e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0273654 rel. change during last iteration : -1.71979e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0498775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00248777 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 545.278 +/- 4.679 (0.8581%) bv = 0.28013 +/- 0.03182 (11.36%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:26:52 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3366380788e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.1604946112e-03 -9.43e-02 2.75e-05 9.191555e+01 1.098606e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00716049 rel. change during last iteration : -9.42737e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0319832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00102293 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 91.9155 +/- 0.7448 (0.8103%) bc = 0.109861 +/- 0.02864 (26.07%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:26:52 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8192559650e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 2.7365444767e-02 -1.72e-05 5.83e-09 5.452782e+02 2.801302e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0273654 rel. change during last iteration : -1.71979e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0498775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00248777 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 545.278 +/- 4.679 (0.8581%) bv = 0.28013 +/- 0.03182 (11.36%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:27:05 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3366380788e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.1604946112e-03 -9.43e-02 2.75e-05 9.191555e+01 1.098606e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00716049 rel. change during last iteration : -9.42737e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0319832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00102293 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 91.9155 +/- 0.7448 (0.8103%) bc = 0.109861 +/- 0.02864 (26.07%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:27:05 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8192559650e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 2.7365444767e-02 -1.72e-05 5.83e-09 5.452782e+02 2.801302e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0273654 rel. change during last iteration : -1.71979e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0498775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00248777 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 545.278 +/- 4.679 (0.8581%) bv = 0.28013 +/- 0.03182 (11.36%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:27:37 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3366380788e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.1604946112e-03 -9.43e-02 2.75e-05 9.191555e+01 1.098606e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00716049 rel. change during last iteration : -9.42737e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0319832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00102293 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 91.9155 +/- 0.7448 (0.8103%) bc = 0.109861 +/- 0.02864 (26.07%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:27:37 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8192559650e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 2.7365444767e-02 -1.72e-05 5.83e-09 5.452782e+02 2.801302e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0273654 rel. change during last iteration : -1.71979e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0498775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00248777 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 545.278 +/- 4.679 (0.8581%) bv = 0.28013 +/- 0.03182 (11.36%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:28:03 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3366380788e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.1604946112e-03 -9.43e-02 2.75e-05 9.191555e+01 1.098606e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00716049 rel. change during last iteration : -9.42737e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0319832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00102293 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 91.9155 +/- 0.7448 (0.8103%) bc = 0.109861 +/- 0.02864 (26.07%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:28:03 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8192559650e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 2.7365444767e-02 -1.72e-05 5.83e-09 5.452782e+02 2.801302e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0273654 rel. change during last iteration : -1.71979e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0498775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00248777 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 545.278 +/- 4.679 (0.8581%) bv = 0.28013 +/- 0.03182 (11.36%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:29:00 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3366380788e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.1604946112e-03 -9.43e-02 2.75e-05 9.191555e+01 1.098606e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00716049 rel. change during last iteration : -9.42737e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0319832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00102293 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 91.9155 +/- 0.7448 (0.8103%) bc = 0.109861 +/- 0.02864 (26.07%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:29:00 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8192559650e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 2.7365444767e-02 -1.72e-05 5.83e-09 5.452782e+02 2.801302e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0273654 rel. change during last iteration : -1.71979e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0498775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00248777 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 545.278 +/- 4.679 (0.8581%) bv = 0.28013 +/- 0.03182 (11.36%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:29:11 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3366380788e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.1604946112e-03 -9.43e-02 2.75e-05 9.191555e+01 1.098606e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00716049 rel. change during last iteration : -9.42737e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0319832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00102293 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 91.9155 +/- 0.7448 (0.8103%) bc = 0.109861 +/- 0.02864 (26.07%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:29:11 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8192559650e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 2.7365444767e-02 -1.72e-05 5.83e-09 5.452782e+02 2.801302e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0273654 rel. change during last iteration : -1.71979e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0498775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00248777 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 545.278 +/- 4.679 (0.8581%) bv = 0.28013 +/- 0.03182 (11.36%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:29:27 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3366380788e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.1604946112e-03 -9.43e-02 2.75e-05 9.191555e+01 1.098606e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00716049 rel. change during last iteration : -9.42737e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0319832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00102293 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 91.9155 +/- 0.7448 (0.8103%) bc = 0.109861 +/- 0.02864 (26.07%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:29:27 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8192559650e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 2.7365444767e-02 -1.72e-05 5.83e-09 5.452782e+02 2.801302e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0273654 rel. change during last iteration : -1.71979e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0498775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00248777 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 545.278 +/- 4.679 (0.8581%) bv = 0.28013 +/- 0.03182 (11.36%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:31:51 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3366380788e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.1604946112e-03 -9.43e-02 2.75e-05 9.191555e+01 1.098606e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00716049 rel. change during last iteration : -9.42737e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0319832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00102293 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 91.9155 +/- 0.7448 (0.8103%) bc = 0.109861 +/- 0.02864 (26.07%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:31:51 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8192559650e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 2.7365444767e-02 -1.72e-05 5.83e-09 5.452782e+02 2.801302e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0273654 rel. change during last iteration : -1.71979e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0498775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00248777 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 545.278 +/- 4.679 (0.8581%) bv = 0.28013 +/- 0.03182 (11.36%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:32:21 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3366380788e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.1604946112e-03 -9.43e-02 2.75e-05 9.191555e+01 1.098606e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00716049 rel. change during last iteration : -9.42737e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0319832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00102293 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 91.9155 +/- 0.7448 (0.8103%) bc = 0.109861 +/- 0.02864 (26.07%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:32:21 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8192559650e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 2.7365444767e-02 -1.72e-05 5.83e-09 5.452782e+02 2.801302e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0273654 rel. change during last iteration : -1.71979e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0498775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00248777 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 545.278 +/- 4.679 (0.8581%) bv = 0.28013 +/- 0.03182 (11.36%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Wed Mar 25 23:32:52 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.3366380788e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.1604946112e-03 -9.43e-02 2.75e-05 9.191555e+01 1.098606e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00716049 rel. change during last iteration : -9.42737e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0319832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00102293 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 91.9155 +/- 0.7448 (0.8103%) bc = 0.109861 +/- 0.02864 (26.07%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Wed Mar 25 23:32:52 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8192559650e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 2.7365444767e-02 -1.72e-05 5.83e-09 5.452782e+02 2.801302e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0273654 rel. change during last iteration : -1.71979e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0498775 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00248777 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 545.278 +/- 4.679 (0.8581%) bv = 0.28013 +/- 0.03182 (11.36%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Fri Mar 27 17:26:22 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.5585124821e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 8.5566941416e-03 -1.66e-02 2.75e-05 9.277719e+01 1.278836e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00855669 rel. change during last iteration : -1.66411e-07 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0349626 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00122238 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.7772 +/- 0.8452 (0.911%) bc = 0.127884 +/- 0.03131 (24.48%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Fri Mar 27 17:26:22 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8187472483e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 3.5732712737e-02 -1.26e-05 5.83e-09 5.445931e+02 2.828386e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.0357327 rel. change during last iteration : -1.26246e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.056995 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00324843 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 544.593 +/- 5.32 (0.9769%) bv = 0.282839 +/- 0.03636 (12.85%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Fri Mar 27 17:30:28 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.1524852667e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.4194648739e-03 -9.89e-03 2.75e-05 9.269897e+01 1.485175e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00741946 rel. change during last iteration : -9.88889e-08 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0325565 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00105992 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.699 +/- 0.7843 (0.8461%) bc = 0.148517 +/- 0.02915 (19.63%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Fri Mar 27 17:30:28 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8192742125e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 3.4865980026e-02 -1.42e-05 5.83e-09 5.460176e+02 2.854235e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.034866 rel. change during last iteration : -1.41614e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0562995 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00316963 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 546.018 +/- 5.31 (0.9725%) bv = 0.285424 +/- 0.03591 (12.58%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Fri Mar 27 17:32:02 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 9 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 8.1524852667e+00 0.00e+00 2.75e+00 9.000000e+01 1.000000e+00 5 7.4194648739e-03 -9.89e-03 2.75e-05 9.269897e+01 1.485175e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00741946 rel. change during last iteration : -9.88889e-08 degrees of freedom (FIT_NDF) : 7 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0325565 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00105992 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.699 +/- 0.7843 (0.8461%) bc = 0.148517 +/- 0.02915 (19.63%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.928 1.000 ******************************************************************************* Fri Mar 27 17:32:02 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 13 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 9.8192742125e+05 0.00e+00 5.83e+02 9.000000e+01 1.000000e+00 11 3.4865980026e-02 -1.42e-05 5.83e-09 5.460176e+02 2.854235e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.034866 rel. change during last iteration : -1.41614e-10 degrees of freedom (FIT_NDF) : 11 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0562995 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00316963 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 546.018 +/- 5.31 (0.9725%) bv = 0.285424 +/- 0.03591 (12.58%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.901 1.000 ******************************************************************************* Fri Mar 27 17:34:58 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.4353703837e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 2.9565952723e-03 -1.93e-03 1.89e-05 9.224340e+01 1.156399e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0029566 rel. change during last iteration : -1.92993e-08 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0313932 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000985532 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2434 +/- 2.308 (2.502%) bc = 0.11564 +/- 0.0575 (49.72%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 17:34:58 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 8.5644315710e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 2.4999527886e-03 -9.21e-05 2.77e-09 5.812349e+02 3.373372e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00249995 rel. change during last iteration : -9.20584e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0288672 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000833318 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 581.235 +/- 22.78 (3.92%) bv = 0.337337 +/- 0.05696 (16.88%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.974 1.000 ******************************************************************************* Fri Mar 27 17:35:39 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.4353703837e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 2.9565952723e-03 -1.93e-03 1.89e-05 9.224340e+01 1.156399e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0029566 rel. change during last iteration : -1.92993e-08 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0313932 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000985532 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2434 +/- 2.308 (2.502%) bc = 0.11564 +/- 0.0575 (49.72%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 17:35:39 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 8.5644315710e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 2.4999527886e-03 -9.21e-05 2.77e-09 5.812349e+02 3.373372e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00249995 rel. change during last iteration : -9.20584e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0288672 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000833318 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 581.235 +/- 22.78 (3.92%) bv = 0.337337 +/- 0.05696 (16.88%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.974 1.000 ******************************************************************************* Fri Mar 27 17:36:18 2020 FIT: data read from "out.times.txt" index 0 format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.4353703837e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 2.9565952723e-03 -1.93e-03 1.89e-05 9.224340e+01 1.156399e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0029566 rel. change during last iteration : -1.92993e-08 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0313932 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000985532 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 92.2434 +/- 2.308 (2.502%) bc = 0.11564 +/- 0.0575 (49.72%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 17:36:18 2020 FIT: data read from "out.times.txt" index 1 format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 8.5644315710e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 2.4999527886e-03 -9.21e-05 2.77e-09 5.812349e+02 3.373372e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00249995 rel. change during last iteration : -9.20584e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0288672 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000833318 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 581.235 +/- 22.78 (3.92%) bv = 0.337337 +/- 0.05696 (16.88%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.974 1.000 ******************************************************************************* Fri Mar 27 17:58:54 2020 FIT: data read from "out.t.cyclic" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.3987023727e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 4.8647049968e-03 -5.05e-01 1.89e-05 9.038511e+01 7.277769e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.0048647 rel. change during last iteration : -5.04972e-06 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0402687 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00162157 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 90.3851 +/- 2.729 (3.019%) bc = 0.0727777 +/- 0.07375 (101.3%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 17:58:54 2020 FIT: data read from "out.t.1value" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f1(x) fitted parameters initialized with current variable values ******************************************************************************* Fri Mar 27 17:59:53 2020 FIT: data read from "out.t.cyclic" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.2830684358e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 6 9.2409119985e-04 -6.71e-05 1.89e-06 8.931221e+01 5.591926e-02 After 6 iterations the fit converged. final sum of squares of residuals : 0.000924091 rel. change during last iteration : -6.70804e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0175508 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00030803 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 89.3122 +/- 1.134 (1.27%) bc = 0.0559193 +/- 0.03214 (57.48%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 17:59:53 2020 FIT: data read from "out.t.1value" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 8.5602475644e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 4.3612989788e-04 -4.69e-04 2.77e-09 5.751494e+02 3.541746e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00043613 rel. change during last iteration : -4.69035e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0120572 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000145377 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 575.149 +/- 9.124 (1.586%) b1 = 0.354175 +/- 0.02379 (6.717%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.974 1.000 ******************************************************************************* Fri Mar 27 17:59:53 2020 FIT: data read from "out.t.values" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 6.6977324403e+00 0.00e+00 7.45e-01 9.000000e+01 1.000000e+00 17 1.0070991258e-02 -6.37e-05 7.45e-06 3.605901e+01 5.094465e-03 After 17 iterations the fit converged. final sum of squares of residuals : 0.010071 rel. change during last iteration : -6.3659e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0448798 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0020142 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 36.059 +/- 0.2076 (0.5757%) bv = 0.00509446 +/- 0.02969 (582.7%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.821 1.000 ******************************************************************************* Fri Mar 27 18:01:16 2020 FIT: data read from "out.t.cyclic" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.4162316457e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 1.8494900402e-03 -1.53e-04 1.89e-05 9.301964e+01 1.361196e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00184949 rel. change during last iteration : -1.53331e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0248294 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000616497 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 93.0196 +/- 1.888 (2.029%) bc = 0.13612 +/- 0.04548 (33.41%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 18:01:16 2020 FIT: data read from "out.t.1value" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 8.5636522248e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 2.6140171472e-03 -8.15e-05 2.77e-09 5.963445e+02 3.803621e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00261402 rel. change during last iteration : -8.14966e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0295185 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000871339 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 596.344 +/- 25.82 (4.329%) b1 = 0.380362 +/- 0.05824 (15.31%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.974 1.000 ******************************************************************************* Fri Mar 27 18:01:16 2020 FIT: data read from "out.t.values" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 6.6093922483e+00 0.00e+00 7.45e-01 9.000000e+01 1.000000e+00 17 3.7865032537e-03 -1.76e-04 7.45e-06 3.613735e+01 1.426729e-02 After 17 iterations the fit converged. final sum of squares of residuals : 0.0037865 rel. change during last iteration : -1.75845e-09 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0275191 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000757301 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 36.1373 +/- 0.1284 (0.3553%) bv = 0.0142673 +/- 0.0182 (127.6%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.821 1.000 ******************************************************************************* Fri Mar 27 18:08:23 2020 FIT: data read from "out.t.cyclic" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.2689487651e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 3.5615697352e-03 -1.34e-04 1.89e-05 9.304864e+01 1.527980e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00356157 rel. change during last iteration : -1.34225e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0344556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00118719 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 93.0486 +/- 2.623 (2.818%) bc = 0.152798 +/- 0.06311 (41.3%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 18:08:23 2020 FIT: data read from "out.t.1value" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 8.5610152542e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 2.5614324288e-03 -9.37e-05 2.77e-09 5.906875e+02 3.876676e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00256143 rel. change during last iteration : -9.37058e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.02922 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000853811 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 590.687 +/- 24.6 (4.165%) b1 = 0.387668 +/- 0.05765 (14.87%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.974 1.000 ******************************************************************************* Fri Mar 27 18:08:23 2020 FIT: data read from "out.t.values" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 6.6581760068e+00 0.00e+00 7.45e-01 9.000000e+01 1.000000e+00 17 1.0615985853e-02 -7.00e-05 7.45e-06 3.607240e+01 9.537436e-04 After 17 iterations the fit converged. final sum of squares of residuals : 0.010616 rel. change during last iteration : -7.00216e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460782 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0021232 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 36.0724 +/- 0.2134 (0.5917%) bv = 0.000953744 +/- 0.03048 (3196%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.821 1.000 ******************************************************************************* Fri Mar 27 18:11:13 2020 FIT: data read from "out.t.cyclic" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.2689487651e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 3.5615697352e-03 -1.34e-04 1.89e-05 9.304864e+01 1.527980e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00356157 rel. change during last iteration : -1.34225e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0344556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00118719 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 93.0486 +/- 2.623 (2.818%) bc = 0.152798 +/- 0.06311 (41.3%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 18:11:13 2020 FIT: data read from "out.t.1value" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 8.5610152542e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 2.5614324288e-03 -9.37e-05 2.77e-09 5.906875e+02 3.876676e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00256143 rel. change during last iteration : -9.37058e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.02922 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000853811 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 590.687 +/- 24.6 (4.165%) b1 = 0.387668 +/- 0.05765 (14.87%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.974 1.000 ******************************************************************************* Fri Mar 27 18:11:13 2020 FIT: data read from "out.t.values" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 6.6581760068e+00 0.00e+00 7.45e-01 9.000000e+01 1.000000e+00 17 1.0615985853e-02 -7.00e-05 7.45e-06 3.607240e+01 9.537436e-04 After 17 iterations the fit converged. final sum of squares of residuals : 0.010616 rel. change during last iteration : -7.00216e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460782 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0021232 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 36.0724 +/- 0.2134 (0.5917%) bv = 0.000953744 +/- 0.03048 (3196%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.821 1.000 ******************************************************************************* Fri Mar 27 18:12:33 2020 FIT: data read from "out.t.cyclic" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.2689487651e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 3.5615697352e-03 -1.34e-04 1.89e-05 9.304864e+01 1.527980e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00356157 rel. change during last iteration : -1.34225e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0344556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00118719 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 93.0486 +/- 2.623 (2.818%) bc = 0.152798 +/- 0.06311 (41.3%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 18:12:33 2020 FIT: data read from "out.t.1value" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 8.5610152542e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 2.5614324288e-03 -9.37e-05 2.77e-09 5.906875e+02 3.876676e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00256143 rel. change during last iteration : -9.37058e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.02922 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000853811 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 590.687 +/- 24.6 (4.165%) b1 = 0.387668 +/- 0.05765 (14.87%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.974 1.000 ******************************************************************************* Fri Mar 27 18:12:33 2020 FIT: data read from "out.t.values" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 6.6581760068e+00 0.00e+00 7.45e-01 9.000000e+01 1.000000e+00 17 1.0615985853e-02 -7.00e-05 7.45e-06 3.607240e+01 9.537436e-04 After 17 iterations the fit converged. final sum of squares of residuals : 0.010616 rel. change during last iteration : -7.00216e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460782 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0021232 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 36.0724 +/- 0.2134 (0.5917%) bv = 0.000953744 +/- 0.03048 (3196%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.821 1.000 ******************************************************************************* Fri Mar 27 18:13:27 2020 FIT: data read from "out.t.cyclic" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.2689487651e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 3.5615697352e-03 -1.34e-04 1.89e-05 9.304864e+01 1.527980e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00356157 rel. change during last iteration : -1.34225e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0344556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00118719 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 93.0486 +/- 2.623 (2.818%) bc = 0.152798 +/- 0.06311 (41.3%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 18:13:27 2020 FIT: data read from "out.t.1value" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 8.5610152542e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 2.5614324288e-03 -9.37e-05 2.77e-09 5.906875e+02 3.876676e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00256143 rel. change during last iteration : -9.37058e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.02922 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000853811 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 590.687 +/- 24.6 (4.165%) b1 = 0.387668 +/- 0.05765 (14.87%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.974 1.000 ******************************************************************************* Fri Mar 27 18:13:27 2020 FIT: data read from "out.t.values" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 6.6581760068e+00 0.00e+00 7.45e-01 9.000000e+01 1.000000e+00 17 1.0615985853e-02 -7.00e-05 7.45e-06 3.607240e+01 9.537436e-04 After 17 iterations the fit converged. final sum of squares of residuals : 0.010616 rel. change during last iteration : -7.00216e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460782 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0021232 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 36.0724 +/- 0.2134 (0.5917%) bv = 0.000953744 +/- 0.03048 (3196%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.821 1.000 ******************************************************************************* Fri Mar 27 18:14:20 2020 FIT: data read from "out.t.cyclic" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.2689487651e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 3.5615697352e-03 -1.34e-04 1.89e-05 9.304864e+01 1.527980e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00356157 rel. change during last iteration : -1.34225e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0344556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00118719 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 93.0486 +/- 2.623 (2.818%) bc = 0.152798 +/- 0.06311 (41.3%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 18:14:20 2020 FIT: data read from "out.t.1value" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 8.5610152542e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 2.5614324288e-03 -9.37e-05 2.77e-09 5.906875e+02 3.876676e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00256143 rel. change during last iteration : -9.37058e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.02922 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000853811 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 590.687 +/- 24.6 (4.165%) b1 = 0.387668 +/- 0.05765 (14.87%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.974 1.000 ******************************************************************************* Fri Mar 27 18:14:20 2020 FIT: data read from "out.t.values" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 6.6581760068e+00 0.00e+00 7.45e-01 9.000000e+01 1.000000e+00 17 1.0615985853e-02 -7.00e-05 7.45e-06 3.607240e+01 9.537436e-04 After 17 iterations the fit converged. final sum of squares of residuals : 0.010616 rel. change during last iteration : -7.00216e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460782 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0021232 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 36.0724 +/- 0.2134 (0.5917%) bv = 0.000953744 +/- 0.03048 (3196%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.821 1.000 ******************************************************************************* Fri Mar 27 18:14:32 2020 FIT: data read from "out.t.cyclic" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.2689487651e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 3.5615697352e-03 -1.34e-04 1.89e-05 9.304864e+01 1.527980e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00356157 rel. change during last iteration : -1.34225e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0344556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00118719 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 93.0486 +/- 2.623 (2.818%) bc = 0.152798 +/- 0.06311 (41.3%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 18:14:32 2020 FIT: data read from "out.t.1value" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 8.5610152542e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 2.5614324288e-03 -9.37e-05 2.77e-09 5.906875e+02 3.876676e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00256143 rel. change during last iteration : -9.37058e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.02922 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000853811 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 590.687 +/- 24.6 (4.165%) b1 = 0.387668 +/- 0.05765 (14.87%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.974 1.000 ******************************************************************************* Fri Mar 27 18:14:32 2020 FIT: data read from "out.t.values" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 6.6581760068e+00 0.00e+00 7.45e-01 9.000000e+01 1.000000e+00 17 1.0615985853e-02 -7.00e-05 7.45e-06 3.607240e+01 9.537436e-04 After 17 iterations the fit converged. final sum of squares of residuals : 0.010616 rel. change during last iteration : -7.00216e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460782 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0021232 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 36.0724 +/- 0.2134 (0.5917%) bv = 0.000953744 +/- 0.03048 (3196%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.821 1.000 ******************************************************************************* Fri Mar 27 18:15:38 2020 FIT: data read from "out.t.cyclic" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.2689487651e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 3.5615697352e-03 -1.34e-04 1.89e-05 9.304864e+01 1.527980e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00356157 rel. change during last iteration : -1.34225e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0344556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00118719 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 93.0486 +/- 2.623 (2.818%) bc = 0.152798 +/- 0.06311 (41.3%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 18:15:38 2020 FIT: data read from "out.t.1value" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 8.5610152542e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 2.5614324288e-03 -9.37e-05 2.77e-09 5.906875e+02 3.876676e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00256143 rel. change during last iteration : -9.37058e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.02922 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000853811 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 590.687 +/- 24.6 (4.165%) b1 = 0.387668 +/- 0.05765 (14.87%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.974 1.000 ******************************************************************************* Fri Mar 27 18:15:38 2020 FIT: data read from "out.t.values" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 6.6581760068e+00 0.00e+00 7.45e-01 9.000000e+01 1.000000e+00 17 1.0615985853e-02 -7.00e-05 7.45e-06 3.607240e+01 9.537436e-04 After 17 iterations the fit converged. final sum of squares of residuals : 0.010616 rel. change during last iteration : -7.00216e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460782 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0021232 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 36.0724 +/- 0.2134 (0.5917%) bv = 0.000953744 +/- 0.03048 (3196%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.821 1.000 ******************************************************************************* Fri Mar 27 18:16:31 2020 FIT: data read from "out.t.cyclic" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.2689487651e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 3.5615697352e-03 -1.34e-04 1.89e-05 9.304864e+01 1.527980e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00356157 rel. change during last iteration : -1.34225e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0344556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00118719 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 93.0486 +/- 2.623 (2.818%) bc = 0.152798 +/- 0.06311 (41.3%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 18:16:31 2020 FIT: data read from "out.t.1value" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 8.5610152542e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 2.5614324288e-03 -9.37e-05 2.77e-09 5.906875e+02 3.876676e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00256143 rel. change during last iteration : -9.37058e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.02922 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000853811 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 590.687 +/- 24.6 (4.165%) b1 = 0.387668 +/- 0.05765 (14.87%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.974 1.000 ******************************************************************************* Fri Mar 27 18:16:31 2020 FIT: data read from "out.t.values" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 6.6581760068e+00 0.00e+00 7.45e-01 9.000000e+01 1.000000e+00 17 1.0615985853e-02 -7.00e-05 7.45e-06 3.607240e+01 9.537436e-04 After 17 iterations the fit converged. final sum of squares of residuals : 0.010616 rel. change during last iteration : -7.00216e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460782 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0021232 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 36.0724 +/- 0.2134 (0.5917%) bv = 0.000953744 +/- 0.03048 (3196%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.821 1.000 ******************************************************************************* Fri Mar 27 20:14:45 2020 FIT: data read from "out.t.cyclic" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.2689487651e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 3.5615697352e-03 -1.34e-04 1.89e-05 9.304864e+01 1.527980e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00356157 rel. change during last iteration : -1.34225e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0344556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00118719 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 93.0486 +/- 2.623 (2.818%) bc = 0.152798 +/- 0.06311 (41.3%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 20:14:45 2020 FIT: data read from "out.t.1value" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 8.5610152542e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 2.5614324288e-03 -9.37e-05 2.77e-09 5.906875e+02 3.876676e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00256143 rel. change during last iteration : -9.37058e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.02922 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000853811 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 590.687 +/- 24.6 (4.165%) b1 = 0.387668 +/- 0.05765 (14.87%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.974 1.000 ******************************************************************************* Fri Mar 27 20:14:45 2020 FIT: data read from "out.t.values" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 6.6581760068e+00 0.00e+00 7.45e-01 9.000000e+01 1.000000e+00 17 1.0615985853e-02 -7.00e-05 7.45e-06 3.607240e+01 9.537436e-04 After 17 iterations the fit converged. final sum of squares of residuals : 0.010616 rel. change during last iteration : -7.00216e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460782 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0021232 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 36.0724 +/- 0.2134 (0.5917%) bv = 0.000953744 +/- 0.03048 (3196%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.821 1.000 ******************************************************************************* Fri Mar 27 20:15:54 2020 FIT: data read from "out.t.cyclic" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.2689487651e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 3.5615697352e-03 -1.34e-04 1.89e-05 9.304864e+01 1.527980e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00356157 rel. change during last iteration : -1.34225e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0344556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00118719 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 93.0486 +/- 2.623 (2.818%) bc = 0.152798 +/- 0.06311 (41.3%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 20:15:54 2020 FIT: data read from "out.t.1value" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 8.5610152542e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 2.5614324288e-03 -9.37e-05 2.77e-09 5.906875e+02 3.876676e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00256143 rel. change during last iteration : -9.37058e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.02922 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000853811 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 590.687 +/- 24.6 (4.165%) b1 = 0.387668 +/- 0.05765 (14.87%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.974 1.000 ******************************************************************************* Fri Mar 27 20:15:54 2020 FIT: data read from "out.t.values" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 6.6581760068e+00 0.00e+00 7.45e-01 9.000000e+01 1.000000e+00 17 1.0615985853e-02 -7.00e-05 7.45e-06 3.607240e+01 9.537436e-04 After 17 iterations the fit converged. final sum of squares of residuals : 0.010616 rel. change during last iteration : -7.00216e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460782 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0021232 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 36.0724 +/- 0.2134 (0.5917%) bv = 0.000953744 +/- 0.03048 (3196%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.821 1.000 ******************************************************************************* Fri Mar 27 20:17:38 2020 FIT: data read from "out.t.cyclic" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.2689487651e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 3.5615697352e-03 -1.34e-04 1.89e-05 9.304864e+01 1.527980e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00356157 rel. change during last iteration : -1.34225e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0344556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00118719 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 93.0486 +/- 2.623 (2.818%) bc = 0.152798 +/- 0.06311 (41.3%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 20:17:38 2020 FIT: data read from "out.t.1value" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 8.5610152542e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 2.5614324288e-03 -9.37e-05 2.77e-09 5.906875e+02 3.876676e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00256143 rel. change during last iteration : -9.37058e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.02922 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000853811 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 590.687 +/- 24.6 (4.165%) b1 = 0.387668 +/- 0.05765 (14.87%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.974 1.000 ******************************************************************************* Fri Mar 27 20:17:38 2020 FIT: data read from "out.t.values" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 6.6581760068e+00 0.00e+00 7.45e-01 9.000000e+01 1.000000e+00 17 1.0615985853e-02 -7.00e-05 7.45e-06 3.607240e+01 9.537436e-04 After 17 iterations the fit converged. final sum of squares of residuals : 0.010616 rel. change during last iteration : -7.00216e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460782 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0021232 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 36.0724 +/- 0.2134 (0.5917%) bv = 0.000953744 +/- 0.03048 (3196%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.821 1.000 ******************************************************************************* Fri Mar 27 20:18:18 2020 FIT: data read from "out.t.cyclic" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.2689487651e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 3.5615697352e-03 -1.34e-04 1.89e-05 9.304864e+01 1.527980e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00356157 rel. change during last iteration : -1.34225e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0344556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00118719 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 93.0486 +/- 2.623 (2.818%) bc = 0.152798 +/- 0.06311 (41.3%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 20:18:18 2020 FIT: data read from "out.t.1value" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 8.5610152542e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 2.5614324288e-03 -9.37e-05 2.77e-09 5.906875e+02 3.876676e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.00256143 rel. change during last iteration : -9.37058e-10 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.02922 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000853811 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 590.687 +/- 24.6 (4.165%) b1 = 0.387668 +/- 0.05765 (14.87%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.974 1.000 ******************************************************************************* Fri Mar 27 20:18:18 2020 FIT: data read from "out.t.values" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 6.6581760068e+00 0.00e+00 7.45e-01 9.000000e+01 1.000000e+00 17 1.0615985853e-02 -7.00e-05 7.45e-06 3.607240e+01 9.537436e-04 After 17 iterations the fit converged. final sum of squares of residuals : 0.010616 rel. change during last iteration : -7.00216e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0460782 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0021232 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 36.0724 +/- 0.2134 (0.5917%) bv = 0.000953744 +/- 0.03048 (3196%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.821 1.000 ******************************************************************************* Fri Mar 27 20:30:47 2020 FIT: data read from "out.t.cyclic" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: fc(x) fc(x)=bc+(x/ac)**cc fitted parameters initialized with current variable values iter chisq delta/lim lambda ac bc 0 4.2648638542e+00 0.00e+00 1.89e+00 9.000000e+01 1.000000e+00 5 9.3609444045e-04 -1.40e-01 1.89e-05 9.133869e+01 1.113012e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.000936094 rel. change during last iteration : -1.40092e-06 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0176644 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000312031 Final set of parameters Asymptotic Standard Error ======================= ========================== ac = 91.3387 +/- 1.248 (1.367%) bc = 0.111301 +/- 0.03235 (29.07%) correlation matrix of the fit parameters: ac bc ac 1.000 bc 0.970 1.000 ******************************************************************************* Fri Mar 27 20:30:47 2020 FIT: data read from "out.t.1value" format = z #datapoints = 5 residuals are weighted equally (unit weight) function used for fitting: f1(x) f1(x)=b1+(x/a1)**c1 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 0 8.5612028664e+04 0.00e+00 2.77e+02 9.000000e+01 1.000000e+00 11 9.5739224627e-04 -1.09e-04 2.77e-09 5.579473e+02 2.976487e-01 After 11 iterations the fit converged. final sum of squares of residuals : 0.000957392 rel. change during last iteration : -1.09181e-09 degrees of freedom (FIT_NDF) : 3 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0178642 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000319131 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 557.947 +/- 11.97 (2.146%) b1 = 0.297649 +/- 0.03525 (11.84%) correlation matrix of the fit parameters: a1 b1 a1 1.000 b1 0.974 1.000 ******************************************************************************* Fri Mar 27 20:30:47 2020 FIT: data read from "out.t.values" format = z #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: fv(x) fv(x)=bv+(x/av)**cv fitted parameters initialized with current variable values iter chisq delta/lim lambda av bv 0 6.5046025912e+00 0.00e+00 7.45e-01 9.000000e+01 1.000000e+00 18 1.1272329721e-02 -1.37e-05 7.45e-06 3.620855e+01 1.396363e-02 After 18 iterations the fit converged. final sum of squares of residuals : 0.0112723 rel. change during last iteration : -1.37055e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0474812 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00225447 Final set of parameters Asymptotic Standard Error ======================= ========================== av = 36.2085 +/- 0.2233 (0.6167%) bv = 0.0139636 +/- 0.03141 (224.9%) correlation matrix of the fit parameters: av bv av 1.000 bv 0.821 1.000