******************************************************************************* Thu Dec 12 18:30:42 2013 FIT: data read from 'hoge.d' u (1/$2/$2):3 #datapoints = 7 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 492.971 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.707667 initial set of free parameter values a = 1 b = 1 After 5 iterations the fit converged. final sum of squares of residuals : 8.3346e-07 rel. change during last iteration : -3.28024e-10 degrees of freedom (FIT_NDF) : 5 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000408279 variance of residuals (reduced chisquare) = WSSR/ndf : 1.66692e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.72074 +/- 0.004906 (0.2851%) b = -7.40946 +/- 0.0001952 (0.002635%) correlation matrix of the fit parameters: a b a 1.000 b -0.613 1.000 ******************************************************************************* Tue Jan 21 14:38:15 2014 FIT: data read from 'esurf_check.d' #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 21.0441 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.577615 initial set of free parameter values a = 1 b = 1 c = 1 After 7 iterations the fit converged. final sum of squares of residuals : 3.66439e-13 rel. change during last iteration : -3.89911e-14 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.4268e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.03577e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.355259 +/- 3.811e-05 (0.01073%) b = 1.13851e-06 +/- 1.028e-06 (90.33%) c = 1.4922e-07 +/- 4.679e-08 (31.36%) correlation matrix of the fit parameters: a b c a 1.000 b 0.000 1.000 c -0.746 0.000 1.000 ******************************************************************************* Tue Jan 21 14:39:08 2014 FIT: data read from 'esurf_check.d' #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 4.20359e-05 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.577615 initial set of free parameter values a = 0.355259 b = 1.13851e-06 c = 1.4922e-07 After 7 iterations the fit converged. final sum of squares of residuals : 4.77175e-12 rel. change during last iteration : -1.67086e-13 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.14876e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 2.65097e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.50774 +/- 0.0001375 (0.00912%) b = -2.61525e-07 +/- 3.711e-06 (1419%) c = -3.83449e-07 +/- 1.689e-07 (44.04%) correlation matrix of the fit parameters: a b c a 1.000 b 0.000 1.000 c -0.746 -0.000 1.000 ******************************************************************************* Tue Jan 21 14:41:06 2014 FIT: data read from 'esurf_check.d' #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.0262342 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.584197 initial set of free parameter values a = 1.50774 b = -2.61525e-07 c = -3.83449e-07 After 5 iterations the fit converged. final sum of squares of residuals : 1.53236e-09 rel. change during last iteration : -1.29427e-08 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.22664e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 8.5131e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.356648 +/- 9.857e-05 (0.02764%) b = 2.09616e-07 +/- 1.33e-05 (6345%) c = -9.68617e-06 +/- 3.026e-06 (31.24%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.746 0.000 1.000 ******************************************************************************* Tue Jan 21 14:47:38 2014 FIT: data read from 'esurf_check.d' x range restricted to [-0.278512 : 0.263021] y range restricted to [-0.00196834 : 0.0234644] #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.00251742 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.584197 initial set of free parameter values a = 0.713296 b = 2.09616e-07 c = -9.68617e-06 After 5 iterations the fit converged. final sum of squares of residuals : 1.53236e-09 rel. change during last iteration : -1.24248e-09 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.22664e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 8.5131e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.356648 +/- 9.857e-05 (0.02764%) b = 2.09616e-07 +/- 1.33e-05 (6345%) c = -9.68617e-06 +/- 3.026e-06 (31.24%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.746 0.000 1.000 ******************************************************************************* Tue Jan 21 14:48:38 2014 FIT: data read from 'esurf_check.d' #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 3.3417e-08 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.584197 initial set of free parameter values a = 0.355378 b = 2.09616e-07 c = -9.68617e-06 After 5 iterations the fit converged. final sum of squares of residuals : 1.53236e-09 rel. change during last iteration : -1.15384e-13 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.22664e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 8.5131e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.356648 +/- 9.857e-05 (0.02764%) b = 2.09616e-07 +/- 1.33e-05 (6345%) c = -9.68617e-06 +/- 3.026e-06 (31.24%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.746 0.000 1.000 ******************************************************************************* Tue Jan 21 14:49:12 2014 FIT: data read from 'esurf_check.d' #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.53236e-09 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.584197 initial set of free parameter values a = 0.356648 b = 2.09616e-07 c = -9.68617e-06 After 1 iterations the fit converged. final sum of squares of residuals : 1.53236e-09 rel. change during last iteration : -8.09714e-16 degrees of freedom (FIT_NDF) : 18 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.22664e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 8.5131e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.356648 +/- 9.857e-05 (0.02764%) b = 2.09616e-07 +/- 1.33e-05 (6345%) c = -9.68617e-06 +/- 3.026e-06 (31.24%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.746 0.000 1.000 ******************************************************************************* Tue Jan 21 14:53:04 2014 FIT: data read from 'esurf_check.d' #datapoints = 21 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values ******************************************************************************* Wed Jan 29 18:52:31 2014 FIT: data read from 'ecurv_check_P0.0004.d' #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 101 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.57735 initial set of free parameter values a = 1 b = 1 c = 1 After 13 iterations the fit converged. final sum of squares of residuals : 8.80317e-28 rel. change during last iteration : -2.03752e-16 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99714e-15 variance of residuals (reduced chisquare) = WSSR/ndf : 8.98282e-30 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000236805 +/- 3.923e-07 (0.1657%) b = -4.44859e-13 +/- 1.023e-11 (2299%) c = 7.60491e-15 +/- 4.474e-16 (5.883%) correlation matrix of the fit parameters: a b c a 1.000 b 0.000 1.000 c -0.745 -0.000 1.000 ******************************************************************************* Wed Jan 29 18:52:52 2014 FIT: data read from 'ecurv_check_P0.0004.d' #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 8.80317e-28 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.57735 initial set of free parameter values a = 0.000236805 b = -4.44859e-13 c = 7.60491e-15 After 1 iterations the fit converged. final sum of squares of residuals : 8.80317e-28 rel. change during last iteration : -3.05628e-15 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99714e-15 variance of residuals (reduced chisquare) = WSSR/ndf : 8.98282e-30 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000236805 +/- 3.923e-07 (0.1657%) b = -4.44859e-13 +/- 1.023e-11 (2299%) c = 7.60491e-15 +/- 4.474e-16 (5.883%) correlation matrix of the fit parameters: a b c a 1.000 b 0.000 1.000 c -0.745 -0.000 1.000 ******************************************************************************* Wed Jan 29 18:53:10 2014 FIT: data read from 'ecurv_check_P0.0006.d' #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 2.46264e-27 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.57735 initial set of free parameter values a = 0.000236805 b = -4.44859e-13 c = 7.60491e-15 After 6 iterations the fit converged. final sum of squares of residuals : 6.69045e-28 rel. change during last iteration : -2.135e-06 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.61285e-15 variance of residuals (reduced chisquare) = WSSR/ndf : 6.82699e-30 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000236805 +/- 3.42e-07 (0.1444%) b = -4.66604e-12 +/- 8.918e-12 (191.1%) c = 3.39264e-15 +/- 3.9e-16 (11.5%) correlation matrix of the fit parameters: a b c a 1.000 b 0.000 1.000 c -0.745 -0.000 1.000 ******************************************************************************* Wed Jan 29 18:53:24 2014 FIT: data read from 'ecurv_check_P0.0060.d' #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.49792e-24 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.57735 initial set of free parameter values a = 0.000236805 b = -4.66604e-12 c = 3.39264e-15 After 3 iterations the fit converged. final sum of squares of residuals : 6.89767e-25 rel. change during last iteration : -3.27444e-08 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.38954e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 7.03843e-27 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000236805 +/- 1.098e-05 (4.638%) b = -4.64746e-12 +/- 2.863e-10 (6161%) c = -8.60583e-14 +/- 1.252e-14 (14.55%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.745 -0.000 1.000 ******************************************************************************* Wed Jan 29 18:53:33 2014 FIT: data read from 'ecurv_check_P0.0070.d' #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 7.56589e-25 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.57735 initial set of free parameter values a = 0.000236805 b = -4.64746e-12 c = -8.60583e-14 After 2 iterations the fit converged. final sum of squares of residuals : 7.56207e-25 rel. change during last iteration : -5.4827e-09 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.7843e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 7.7164e-27 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000236805 +/- 1.15e-05 (4.856%) b = -4.64741e-12 +/- 2.998e-10 (6451%) c = -8.80015e-14 +/- 1.311e-14 (14.9%) correlation matrix of the fit parameters: a b c a 1.000 b 0.000 1.000 c -0.745 -0.000 1.000 ******************************************************************************* Wed Jan 29 18:54:32 2014 FIT: data read from 'ecurv_check_P0.0070.d' #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 7.56207e-25 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.57735 initial set of free parameter values a = 0.000236805 b = -4.64741e-12 c = -8.80015e-14 After 1 iterations the fit converged. final sum of squares of residuals : 7.56207e-25 rel. change during last iteration : -2.58429e-13 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.7843e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 7.7164e-27 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000236805 +/- 1.15e-05 (4.856%) b = -4.64741e-12 +/- 2.998e-10 (6451%) c = -8.80015e-14 +/- 1.311e-14 (14.9%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.745 0.000 1.000 ******************************************************************************* Wed Jan 29 18:54:48 2014 FIT: data read from 'ecurv_check_P0.0070.d' #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 7.56207e-25 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.57735 initial set of free parameter values a = 0.000236805 b = -4.64741e-12 c = -8.80015e-14 After 1 iterations the fit converged. final sum of squares of residuals : 7.56207e-25 rel. change during last iteration : -2.58551e-13 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.7843e-14 variance of residuals (reduced chisquare) = WSSR/ndf : 7.7164e-27 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000236805 +/- 1.15e-05 (4.856%) b = -4.6474e-12 +/- 2.998e-10 (6451%) c = -8.80015e-14 +/- 1.311e-14 (14.9%) correlation matrix of the fit parameters: a b c a 1.000 b 0.000 1.000 c -0.745 -0.000 1.000 ******************************************************************************* Wed Jan 29 18:54:52 2014 FIT: data read from 'ecurv_check_P0.0070.d' #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.31328e-14 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.57735 initial set of free parameter values a = 10 b = -4.6474e-12 c = -8.80015e-14 After 3 iterations the fit converged. final sum of squares of residuals : 5.83594e-15 rel. change during last iteration : -3.51585e-12 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.71689e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 5.95504e-17 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 10 +/- 1.01 (10.1%) b = -5.38701e-12 +/- 2.634e-05 (4.889e+08%) c = -8.49989e-09 +/- 1.152e-09 (13.55%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.745 0.000 1.000 ******************************************************************************* Wed Jan 29 18:55:31 2014 FIT: data read from 'ecurv_check_P0.0070.d' #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 5.83594e-15 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.57735 initial set of free parameter values a = 10 b = -5.38701e-12 c = -8.49989e-09 After 1 iterations the fit converged. final sum of squares of residuals : 5.83594e-15 rel. change during last iteration : -1.35173e-16 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.71689e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 5.95504e-17 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 10 +/- 1.01 (10.1%) b = -5.38708e-12 +/- 2.634e-05 (4.889e+08%) c = -8.49989e-09 +/- 1.152e-09 (13.55%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.745 0.000 1.000 ******************************************************************************* Wed Jan 29 18:56:37 2014 FIT: data read from 'ecurv_check_P0.0070.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) ******************************************************************************* Wed Jan 29 18:56:40 2014 FIT: data read from 'ecurv_check_P0.0070.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1.27974e+06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.8766 initial set of free parameter values a = 10 b = -5.38708e-12 c = -8.49989e-09 After 4 iterations the fit converged. final sum of squares of residuals : 0.0837534 rel. change during last iteration : -9.30363e-11 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.029234 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000854626 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.123037 +/- 0.0003827 (0.311%) b = -0.000254864 +/- 0.0009977 (391.5%) c = 0.0870108 +/- 0.004364 (5.015%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.745 0.000 1.000 ******************************************************************************* Wed Jan 29 18:56:46 2014 FIT: data read from 'ecurv_check_P0.0004.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 167.945 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.8199 initial set of free parameter values a = 0.123037 b = -0.000254864 c = 0.0870108 After 3 iterations the fit converged. final sum of squares of residuals : 0.0880317 rel. change during last iteration : -4.73455e-06 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0299714 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000898282 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.236805 +/- 0.0003923 (0.1657%) b = -4.44859e-05 +/- 0.001023 (2299%) c = 0.0760491 +/- 0.004474 (5.883%) correlation matrix of the fit parameters: a b c a 1.000 b 0.000 1.000 c -0.745 0.000 1.000 ******************************************************************************* Wed Jan 29 18:56:49 2014 FIT: data read from 'ecurv_check_P0.0070.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 167.941 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.8199 initial set of free parameter values a = 0.236805 b = -4.44859e-05 c = 0.0760491 After 3 iterations the fit converged. final sum of squares of residuals : 0.0837534 rel. change during last iteration : -4.9764e-06 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.029234 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000854626 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.123037 +/- 0.0003827 (0.311%) b = -0.000254864 +/- 0.0009977 (391.5%) c = 0.0870108 +/- 0.004364 (5.015%) correlation matrix of the fit parameters: a b c a 1.000 b 0.000 1.000 c -0.745 -0.000 1.000 ******************************************************************************* Wed Jan 29 18:56:51 2014 FIT: data read from 'ecurv_check_P0.0004.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 167.945 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.8199 initial set of free parameter values a = 0.123037 b = -0.000254864 c = 0.0870108 After 3 iterations the fit converged. final sum of squares of residuals : 0.0880317 rel. change during last iteration : -4.73455e-06 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0299714 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000898282 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.236805 +/- 0.0003923 (0.1657%) b = -4.44859e-05 +/- 0.001023 (2299%) c = 0.0760491 +/- 0.004474 (5.883%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.745 0.000 1.000 ******************************************************************************* Wed Jan 29 18:57:30 2014 FIT: data read from 'ecurv_check_P0.0004.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.0880317 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.8199 initial set of free parameter values a = 0.236805 b = -4.44859e-05 c = 0.0760491 After 1 iterations the fit converged. final sum of squares of residuals : 0.0880317 rel. change during last iteration : -3.7362e-14 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0299714 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000898282 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.236805 +/- 0.0003923 (0.1657%) b = -4.44859e-05 +/- 0.001023 (2299%) c = 0.0760491 +/- 0.004474 (5.883%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.745 0.000 1.000 ******************************************************************************* Wed Jan 29 18:57:38 2014 FIT: data read from 'ecurv_check_P0.0006.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.246264 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.8199 initial set of free parameter values a = 0.236805 b = -4.44859e-05 c = 0.0760491 After 4 iterations the fit converged. final sum of squares of residuals : 0.0645029 rel. change during last iteration : -2.81631e-13 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0256553 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000658192 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.236163 +/- 0.0003358 (0.1422%) b = -0.000466609 +/- 0.0008756 (187.7%) c = 0.0393791 +/- 0.00383 (9.725%) correlation matrix of the fit parameters: a b c a 1.000 b 0.000 1.000 c -0.745 0.000 1.000 ******************************************************************************* Wed Jan 29 18:57:52 2014 FIT: data read from 'ecurv_check_P0.0060.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 148.98 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.8199 initial set of free parameter values a = 0.236163 b = -0.000466609 c = 0.0393791 After 4 iterations the fit converged. final sum of squares of residuals : 0.0758175 rel. change during last iteration : -1.66568e-13 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0278145 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000773648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.12815 +/- 0.0003641 (0.2841%) b = 0.000249423 +/- 0.0009493 (380.6%) c = 0.0629853 +/- 0.004152 (6.592%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.745 0.000 1.000 ******************************************************************************* Wed Jan 29 18:58:12 2014 FIT: data read from 'ecurv_check_P0.0070.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 0.274654 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.8199 initial set of free parameter values a = 0.12815 b = 0.000249423 c = 0.0629853 After 3 iterations the fit converged. final sum of squares of residuals : 0.0837534 rel. change during last iteration : -8.70037e-06 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.029234 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000854626 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.123037 +/- 0.0003827 (0.311%) b = -0.000254864 +/- 0.0009977 (391.5%) c = 0.0870108 +/- 0.004364 (5.015%) correlation matrix of the fit parameters: a b c a 1.000 b 0.000 1.000 c -0.745 0.000 1.000 ******************************************************************************* Wed Jan 29 18:58:21 2014 FIT: data read from 'ecurv_check_P0.0080.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 27.6628 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.8199 initial set of free parameter values a = 0.123037 b = -0.000254864 c = 0.0870108 After 4 iterations the fit converged. final sum of squares of residuals : 0.0826808 rel. change during last iteration : -5.53981e-12 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0290462 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000843682 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0908147 +/- 0.0003802 (0.4187%) b = 0.00077379 +/- 0.0009913 (128.1%) c = -0.100689 +/- 0.004336 (4.306%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.745 -0.000 1.000 ******************************************************************************* Wed Jan 29 18:58:31 2014 FIT: data read from 'ecurv_check_P0.0090.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 7.39588 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.8199 initial set of free parameter values a = 0.0908147 b = 0.00077379 c = -0.100689 After 4 iterations the fit converged. final sum of squares of residuals : 0.0808389 rel. change during last iteration : -4.77043e-12 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0287208 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000824887 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.058369 +/- 0.000376 (0.6441%) b = -0.000344328 +/- 0.0009802 (284.7%) c = 0.0674608 +/- 0.004287 (6.355%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.745 0.000 1.000 ******************************************************************************* Wed Jan 29 18:58:40 2014 FIT: data read from 'ecurv_check_P0.0100.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 2.36391 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.8199 initial set of free parameter values a = 0.058369 b = -0.000344328 c = 0.0674608 After 4 iterations the fit converged. final sum of squares of residuals : 0.0699575 rel. change during last iteration : -2.01172e-12 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.026718 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000713852 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0533568 +/- 0.0003497 (0.6555%) b = -1.66365e-05 +/- 0.0009119 (5481%) c = -0.0357427 +/- 0.003988 (11.16%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.745 0.000 1.000 ******************************************************************************* Wed Jan 29 18:58:48 2014 FIT: data read from 'ecurv_check_P0.0110.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 19.8698 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.8199 initial set of free parameter values a = 0.0533568 b = -1.66365e-05 c = -0.0357427 After 4 iterations the fit converged. final sum of squares of residuals : 0.125027 rel. change during last iteration : -6.1848e-13 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0357182 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00127579 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0199842 +/- 0.0004676 (2.34%) b = -0.000348216 +/- 0.001219 (350.1%) c = -0.114204 +/- 0.005332 (4.668%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.745 0.000 1.000 ******************************************************************************* Wed Jan 29 18:58:59 2014 FIT: data read from 'ecurv_check_P0.0120.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 2.48126 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.8199 initial set of free parameter values a = 0.0199842 b = -0.000348216 c = -0.114204 After 4 iterations the fit converged. final sum of squares of residuals : 0.0554252 rel. change during last iteration : -8.74455e-12 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0237816 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000565563 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.015303 +/- 0.0003113 (2.034%) b = 0.000552152 +/- 0.0008117 (147%) c = 0.0764006 +/- 0.00355 (4.646%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.745 -0.000 1.000 ******************************************************************************* Wed Jan 29 18:59:06 2014 FIT: data read from 'ecurv_check_P0.0130.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 28.2211 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.8199 initial set of free parameter values a = 0.015303 b = 0.000552152 c = 0.0764006 After 4 iterations the fit converged. final sum of squares of residuals : 0.103878 rel. change during last iteration : -4.58998e-12 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0325574 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00105998 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0170759 +/- 0.0004262 (2.496%) b = -0.000504062 +/- 0.001111 (220.4%) c = -0.115068 +/- 0.00486 (4.223%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.745 -0.000 1.000 ******************************************************************************* Wed Jan 29 18:59:15 2014 FIT: data read from 'ecurv_check_P0.0140.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 2.46227 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.8199 initial set of free parameter values a = -0.0170759 b = -0.000504062 c = -0.115068 After 4 iterations the fit converged. final sum of squares of residuals : 0.0976661 rel. change during last iteration : -5.09266e-12 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0315689 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000996593 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0224388 +/- 0.0004132 (1.842%) b = -0.00012801 +/- 0.001077 (841.7%) c = 0.0779916 +/- 0.004712 (6.042%) correlation matrix of the fit parameters: a b c a 1.000 b 0.000 1.000 c -0.745 0.000 1.000 ******************************************************************************* Wed Jan 29 18:59:29 2014 FIT: data read from 'ecurv_check_P0.0160.d' u ($1*1e5):($2*1e13) #datapoints = 101 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 41.9563 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 6.8199 initial set of free parameter values a = -0.0224388 b = -0.00012801 c = 0.0779916 After 4 iterations the fit converged. final sum of squares of residuals : 0.108442 rel. change during last iteration : -8.10638e-12 degrees of freedom (FIT_NDF) : 98 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0332649 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00110655 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0598412 +/- 0.0004354 (0.7277%) b = -6.85839e-05 +/- 0.001135 (1655%) c = -0.181583 +/- 0.004965 (2.735%) correlation matrix of the fit parameters: a b c a 1.000 b 0.000 1.000 c -0.745 0.000 1.000