******************************************************************************* Tue Oct 23 13:59:01 2007 FIT: data read from "1.40-ume.hist" using 1:2:($2**0.5) #datapoints = 1024 function used for fitting: f(x) fitted parameters initialized with current variable values ******************************************************************************* Tue Oct 23 13:59:20 2007 FIT: data read from "1.40-ume.hist" using 1:2:($2**0.5) #datapoints = 1024 function used for fitting: f1(x) fitted parameters initialized with current variable values BREAK: Undefined value during function evaluation ******************************************************************************* Tue Oct 23 14:00:06 2007 FIT: data read from "1.40-ume.hist" using 1:2:($2**0.5) #datapoints = 1024 function used for fitting: f1(x) fitted parameters initialized with current variable values BREAK: Undefined value during function evaluation ******************************************************************************* Tue Oct 23 14:01:06 2007 FIT: data read from "1.40-ume.hist" using 1:2:($2**0.5) #datapoints = 101 function used for fitting: f1(x) fitted parameters initialized with current variable values Iteration 0 WSSR : inf delta(WSSR)/WSSR : nan delta(WSSR) : nan limit for stopping : 1e-05 lambda : inf initial set of free parameter values a11 = 3500 a12 = 150 a13 = 10 After 1 iterations the fit converged. final sum of squares of residuals : inf rel. change during last iteration : nan degrees of freedom (ndf) : 98 rms of residuals (stdfit) = sqrt(WSSR/ndf) : inf variance of residuals (reduced chisquare) = WSSR/ndf : inf Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3500 +/- nan (nan%) a12 = 150 +/- nan (nan%) a13 = 10 +/- nan (nan%) correlation matrix of the fit parameters: a11 a12 a13 a11 nan a12 nan nan a13 nan nan nan ******************************************************************************* Tue Oct 23 14:01:27 2007 FIT: data read from "1.40-ume.hist" using 1:2:($2**0.5) #datapoints = 200 function used for fitting: f1(x) fitted parameters initialized with current variable values Iteration 0 WSSR : inf delta(WSSR)/WSSR : nan delta(WSSR) : nan limit for stopping : 1e-05 lambda : inf initial set of free parameter values a11 = 3500 a12 = 150 a13 = 10 After 1 iterations the fit converged. final sum of squares of residuals : inf rel. change during last iteration : nan degrees of freedom (ndf) : 197 rms of residuals (stdfit) = sqrt(WSSR/ndf) : inf variance of residuals (reduced chisquare) = WSSR/ndf : inf Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3500 +/- nan (nan%) a12 = 150 +/- nan (nan%) a13 = 10 +/- nan (nan%) correlation matrix of the fit parameters: a11 a12 a13 a11 nan a12 nan nan a13 nan nan nan ******************************************************************************* Tue Oct 23 14:03:37 2007 FIT: data read from "1.50-ume.hist" using 1:2:($2**0.5) #datapoints = 251 function used for fitting: f1(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 111482 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.896394 initial set of free parameter values a11 = 1800 a12 = 380 a13 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 586.188 rel. change during last iteration : -7.39763e-07 degrees of freedom (ndf) : 248 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.53742 variance of residuals (reduced chisquare) = WSSR/ndf : 2.36366 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1660 +/- 8.072 (0.4863%) a12 = 355.058 +/- 0.1484 (0.04181%) a13 = 37.7225 +/- 0.113 (0.2995%) correlation matrix of the fit parameters: a11 a12 a13 a11 1.000 a12 0.023 1.000 a13 -0.601 -0.048 1.000 ******************************************************************************* Tue Oct 23 14:03:56 2007 FIT: data read from "1.50-ume.hist" using 1:2:($2**0.5) #datapoints = 251 function used for fitting: f1(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 111482 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.896394 initial set of free parameter values a11 = 1800 a12 = 380 a13 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 586.188 rel. change during last iteration : -7.39763e-07 degrees of freedom (ndf) : 248 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.53742 variance of residuals (reduced chisquare) = WSSR/ndf : 2.36366 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1660 +/- 8.072 (0.4863%) a12 = 355.058 +/- 0.1484 (0.04181%) a13 = 37.7225 +/- 0.113 (0.2995%) correlation matrix of the fit parameters: a11 a12 a13 a11 1.000 a12 0.023 1.000 a13 -0.601 -0.048 1.000 ******************************************************************************* Tue Oct 23 14:07:01 2007 FIT: data read from "1.50-ume.hist" using 1:2:($2**0.5) #datapoints = 371 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 122094 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.737308 initial set of free parameter values a11 = 1800 a12 = 380 a13 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 10491.4 rel. change during last iteration : -1.54797e-06 degrees of freedom (ndf) : 368 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 5.33942 variance of residuals (reduced chisquare) = WSSR/ndf : 28.5094 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1645.57 +/- 27.73 (1.685%) a12 = 354.804 +/- 0.5145 (0.145%) a13 = 38.1338 +/- 0.3875 (1.016%) correlation matrix of the fit parameters: a11 a12 a13 a11 1.000 a12 0.021 1.000 a13 -0.601 -0.036 1.000 ******************************************************************************* Tue Oct 23 14:07:40 2007 FIT: data read from "1.50-ume.hist" using 1:2:($2**0.5) #datapoints = 371 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 121572 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.737308 initial set of free parameter values a11 = 1800 a12 = 380 a13 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 9931.09 rel. change during last iteration : -2.42432e-06 degrees of freedom (ndf) : 368 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 5.19487 variance of residuals (reduced chisquare) = WSSR/ndf : 26.9866 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1644.11 +/- 26.95 (1.639%) a12 = 354.784 +/- 0.5006 (0.1411%) a13 = 38.1723 +/- 0.377 (0.9875%) correlation matrix of the fit parameters: a11 a12 a13 a11 1.000 a12 0.021 1.000 a13 -0.601 -0.036 1.000 ******************************************************************************* Tue Oct 23 14:08:10 2007 FIT: data read from "1.50-ume.hist" using 1:2:($2**0.5) #datapoints = 371 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 121572 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.549904 initial set of free parameter values a11 = 1800 a12 = 380 a13 = 10 a21 = 250 a22 = 190 a23 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 609.109 rel. change during last iteration : -1.07022e-06 degrees of freedom (ndf) : 365 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.29182 variance of residuals (reduced chisquare) = WSSR/ndf : 1.66879 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1667.83 +/- 6.852 (0.4108%) a12 = 355.288 +/- 0.1264 (0.03557%) a13 = 37.4457 +/- 0.09785 (0.2613%) a21 = 226.395 +/- 2.975 (1.314%) a22 = 188.056 +/- 0.3825 (0.2034%) a23 = 32.3781 +/- 0.3973 (1.227%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.035 1.000 a13 -0.602 -0.087 1.000 a21 -0.037 -0.068 0.097 1.000 a22 0.061 0.084 -0.139 0.008 1.000 a23 0.091 0.148 -0.224 -0.656 -0.005 1.000 ******************************************************************************* Tue Oct 23 14:09:07 2007 FIT: data read from "1.50-ume.hist" using 1:2:($2**0.5) #datapoints = 371 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 121572 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.549904 initial set of free parameter values a11 = 1800 a12 = 380 a13 = 10 a21 = 250 a22 = 190 a23 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 609.109 rel. change during last iteration : -1.07022e-06 degrees of freedom (ndf) : 365 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.29182 variance of residuals (reduced chisquare) = WSSR/ndf : 1.66879 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1667.83 +/- 6.852 (0.4108%) a12 = 355.288 +/- 0.1264 (0.03557%) a13 = 37.4457 +/- 0.09785 (0.2613%) a21 = 226.395 +/- 2.975 (1.314%) a22 = 188.056 +/- 0.3825 (0.2034%) a23 = 32.3781 +/- 0.3973 (1.227%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.035 1.000 a13 -0.602 -0.087 1.000 a21 -0.037 -0.068 0.097 1.000 a22 0.061 0.084 -0.139 0.008 1.000 a23 0.091 0.148 -0.224 -0.656 -0.005 1.000 ******************************************************************************* Tue Oct 23 14:13:14 2007 FIT: data read from "1.50-ume.hist" using 1:2:($2**0.5) #datapoints = 371 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 121572 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.549904 initial set of free parameter values a11 = 1800 a12 = 380 a13 = 10 a21 = 250 a22 = 190 a23 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 609.109 rel. change during last iteration : -1.07022e-06 degrees of freedom (ndf) : 365 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.29182 variance of residuals (reduced chisquare) = WSSR/ndf : 1.66879 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1667.83 +/- 6.852 (0.4108%) a12 = 355.288 +/- 0.1264 (0.03557%) a13 = 37.4457 +/- 0.09785 (0.2613%) a21 = 226.395 +/- 2.975 (1.314%) a22 = 188.056 +/- 0.3825 (0.2034%) a23 = 32.3781 +/- 0.3973 (1.227%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.035 1.000 a13 -0.602 -0.087 1.000 a21 -0.037 -0.068 0.097 1.000 a22 0.061 0.084 -0.139 0.008 1.000 a23 0.091 0.148 -0.224 -0.656 -0.005 1.000 ******************************************************************************* Tue Oct 23 14:14:44 2007 FIT: data read from "1.50-ume.hist" using 1:2:($2**0.5) #datapoints = 371 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 121572 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.549904 initial set of free parameter values a11 = 1800 a12 = 380 a13 = 10 a21 = 250 a22 = 190 a23 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 609.109 rel. change during last iteration : -1.07022e-06 degrees of freedom (ndf) : 365 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.29182 variance of residuals (reduced chisquare) = WSSR/ndf : 1.66879 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1667.83 +/- 6.852 (0.4108%) a12 = 355.288 +/- 0.1264 (0.03557%) a13 = 37.4457 +/- 0.09785 (0.2613%) a21 = 226.395 +/- 2.975 (1.314%) a22 = 188.056 +/- 0.3825 (0.2034%) a23 = 32.3781 +/- 0.3973 (1.227%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.035 1.000 a13 -0.602 -0.087 1.000 a21 -0.037 -0.068 0.097 1.000 a22 0.061 0.084 -0.139 0.008 1.000 a23 0.091 0.148 -0.224 -0.656 -0.005 1.000 ******************************************************************************* Tue Oct 23 14:16:15 2007 FIT: data read from "1.50-ume.hist" using 1:2:($2**0.5) #datapoints = 371 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 121572 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.549904 initial set of free parameter values a11 = 1800 a12 = 380 a13 = 10 a21 = 250 a22 = 190 a23 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 609.109 rel. change during last iteration : -1.07022e-06 degrees of freedom (ndf) : 365 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.29182 variance of residuals (reduced chisquare) = WSSR/ndf : 1.66879 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1667.83 +/- 6.852 (0.4108%) a12 = 355.288 +/- 0.1264 (0.03557%) a13 = 37.4457 +/- 0.09785 (0.2613%) a21 = 226.395 +/- 2.975 (1.314%) a22 = 188.056 +/- 0.3825 (0.2034%) a23 = 32.3781 +/- 0.3973 (1.227%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.035 1.000 a13 -0.602 -0.087 1.000 a21 -0.037 -0.068 0.097 1.000 a22 0.061 0.084 -0.139 0.008 1.000 a23 0.091 0.148 -0.224 -0.656 -0.005 1.000 ******************************************************************************* Tue Oct 23 14:16:30 2007 FIT: data read from "1.50-ume.hist" using 1:2:($2**0.5) #datapoints = 371 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 121572 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.549904 initial set of free parameter values a11 = 1800 a12 = 380 a13 = 10 a21 = 250 a22 = 190 a23 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 609.109 rel. change during last iteration : -1.07022e-06 degrees of freedom (ndf) : 365 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.29182 variance of residuals (reduced chisquare) = WSSR/ndf : 1.66879 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1667.83 +/- 6.852 (0.4108%) a12 = 355.288 +/- 0.1264 (0.03557%) a13 = 37.4457 +/- 0.09785 (0.2613%) a21 = 226.395 +/- 2.975 (1.314%) a22 = 188.056 +/- 0.3825 (0.2034%) a23 = 32.3781 +/- 0.3973 (1.227%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.035 1.000 a13 -0.602 -0.087 1.000 a21 -0.037 -0.068 0.097 1.000 a22 0.061 0.084 -0.139 0.008 1.000 a23 0.091 0.148 -0.224 -0.656 -0.005 1.000 ******************************************************************************* Tue Oct 23 14:16:45 2007 FIT: data read from "1.50-ume.hist" using 1:2:($2**0.5) #datapoints = 371 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 121572 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.549904 initial set of free parameter values a11 = 1800 a12 = 380 a13 = 10 a21 = 250 a22 = 190 a23 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 609.109 rel. change during last iteration : -1.07022e-06 degrees of freedom (ndf) : 365 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.29182 variance of residuals (reduced chisquare) = WSSR/ndf : 1.66879 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1667.83 +/- 6.852 (0.4108%) a12 = 355.288 +/- 0.1264 (0.03557%) a13 = 37.4457 +/- 0.09785 (0.2613%) a21 = 226.395 +/- 2.975 (1.314%) a22 = 188.056 +/- 0.3825 (0.2034%) a23 = 32.3781 +/- 0.3973 (1.227%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.035 1.000 a13 -0.602 -0.087 1.000 a21 -0.037 -0.068 0.097 1.000 a22 0.061 0.084 -0.139 0.008 1.000 a23 0.091 0.148 -0.224 -0.656 -0.005 1.000 ******************************************************************************* Tue Oct 23 14:17:16 2007 FIT: data read from "1.50-ume.hist" using 1:2:($2**0.5) #datapoints = 371 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 121572 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.549904 initial set of free parameter values a11 = 1800 a12 = 380 a13 = 10 a21 = 250 a22 = 190 a23 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 609.109 rel. change during last iteration : -1.07022e-06 degrees of freedom (ndf) : 365 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.29182 variance of residuals (reduced chisquare) = WSSR/ndf : 1.66879 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1667.83 +/- 6.852 (0.4108%) a12 = 355.288 +/- 0.1264 (0.03557%) a13 = 37.4457 +/- 0.09785 (0.2613%) a21 = 226.395 +/- 2.975 (1.314%) a22 = 188.056 +/- 0.3825 (0.2034%) a23 = 32.3781 +/- 0.3973 (1.227%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.035 1.000 a13 -0.602 -0.087 1.000 a21 -0.037 -0.068 0.097 1.000 a22 0.061 0.084 -0.139 0.008 1.000 a23 0.091 0.148 -0.224 -0.656 -0.005 1.000 ******************************************************************************* Tue Oct 23 15:35:46 2007 FIT: data read from "1.5-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 371 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 167718 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.642157 initial set of free parameter values a11 = 2300 a12 = 380 a13 = 10 a21 = 350 a22 = 190 a23 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 740.573 rel. change during last iteration : -2.20351e-06 degrees of freedom (ndf) : 365 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.42442 variance of residuals (reduced chisquare) = WSSR/ndf : 2.02897 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 2260.22 +/- 8.889 (0.3933%) a12 = 350.803 +/- 0.119 (0.03391%) a13 = 36.7999 +/- 0.0926 (0.2516%) a21 = 316.19 +/- 3.886 (1.229%) a22 = 185.459 +/- 0.368 (0.1984%) a23 = 32.8319 +/- 0.3923 (1.195%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.041 1.000 a13 -0.604 -0.099 1.000 a21 -0.039 -0.074 0.104 1.000 a22 0.057 0.080 -0.130 0.028 1.000 a23 0.094 0.156 -0.231 -0.660 -0.058 1.000 ******************************************************************************* Tue Oct 23 15:37:07 2007 FIT: data read from "1.5-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 371 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 168476 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.692391 initial set of free parameter values a11 = 2500 a12 = 380 a13 = 10 a21 = 350 a22 = 190 a23 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 740.573 rel. change during last iteration : -3.8234e-07 degrees of freedom (ndf) : 365 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.42442 variance of residuals (reduced chisquare) = WSSR/ndf : 2.02897 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 2260.22 +/- 8.889 (0.3933%) a12 = 350.803 +/- 0.119 (0.03391%) a13 = 36.7998 +/- 0.0926 (0.2516%) a21 = 316.192 +/- 3.886 (1.229%) a22 = 185.459 +/- 0.3679 (0.1984%) a23 = 32.8317 +/- 0.3923 (1.195%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.041 1.000 a13 -0.604 -0.099 1.000 a21 -0.039 -0.074 0.104 1.000 a22 0.057 0.080 -0.130 0.028 1.000 a23 0.094 0.156 -0.231 -0.660 -0.058 1.000 ******************************************************************************* Tue Oct 23 15:42:29 2007 FIT: data read from "1.48-nagao-1hist" using 1:2:($2**0.5) #datapoints = 371 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : inf delta(WSSR)/WSSR : nan delta(WSSR) : nan limit for stopping : 1e-05 lambda : nan initial set of free parameter values a11 = 2500 a12 = 380 a13 = 10 a21 = 350 a22 = 190 a23 = 10 After 1 iterations the fit converged. final sum of squares of residuals : inf rel. change during last iteration : nan degrees of freedom (ndf) : 365 rms of residuals (stdfit) = sqrt(WSSR/ndf) : inf variance of residuals (reduced chisquare) = WSSR/ndf : inf Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 2500 +/- nan (nan%) a12 = 380 +/- nan (nan%) a13 = 10 +/- nan (nan%) a21 = 350 +/- nan (nan%) a22 = 190 +/- nan (nan%) a23 = 10 +/- nan (nan%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 nan a12 nan nan a13 nan nan nan a21 nan nan nan nan a22 nan nan nan nan nan a23 nan nan nan nan nan nan ******************************************************************************* Tue Oct 23 15:45:03 2007 FIT: data read from "1.48-nagao-1hist" using 1:2:($2**0.5) #datapoints = 371 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : inf delta(WSSR)/WSSR : nan delta(WSSR) : nan limit for stopping : 1e-05 lambda : nan initial set of free parameter values a11 = 3000 a12 = 280 a13 = 10 a21 = 450 a22 = 160 a23 = 10 After 1 iterations the fit converged. final sum of squares of residuals : inf rel. change during last iteration : nan degrees of freedom (ndf) : 365 rms of residuals (stdfit) = sqrt(WSSR/ndf) : inf variance of residuals (reduced chisquare) = WSSR/ndf : inf Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3000 +/- nan (nan%) a12 = 280 +/- nan (nan%) a13 = 10 +/- nan (nan%) a21 = 450 +/- nan (nan%) a22 = 160 +/- nan (nan%) a23 = 10 +/- nan (nan%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 nan a12 nan nan a13 nan nan nan a21 nan nan nan nan a22 nan nan nan nan nan a23 nan nan nan nan nan nan ******************************************************************************* Tue Oct 23 15:47:51 2007 FIT: data read from "1.48-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 371 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : inf delta(WSSR)/WSSR : nan delta(WSSR) : nan limit for stopping : 1e-05 lambda : nan initial set of free parameter values a11 = 3000 a12 = 280 a13 = 10 a21 = 450 a22 = 160 a23 = 10 After 1 iterations the fit converged. final sum of squares of residuals : inf rel. change during last iteration : nan degrees of freedom (ndf) : 365 rms of residuals (stdfit) = sqrt(WSSR/ndf) : inf variance of residuals (reduced chisquare) = WSSR/ndf : inf Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3000 +/- nan (nan%) a12 = 280 +/- nan (nan%) a13 = 10 +/- nan (nan%) a21 = 450 +/- nan (nan%) a22 = 160 +/- nan (nan%) a23 = 10 +/- nan (nan%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 nan a12 nan nan a13 nan nan nan a21 nan nan nan nan a22 nan nan nan nan nan a23 nan nan nan nan nan nan ******************************************************************************* Tue Oct 23 15:49:47 2007 FIT: data read from "1.5-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 371 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 150197 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.533097 initial set of free parameter values a11 = 2300 a12 = 350 a13 = 10 a21 = 320 a22 = 185 a23 = 10 After 6 iterations the fit converged. final sum of squares of residuals : 740.573 rel. change during last iteration : -4.52541e-07 degrees of freedom (ndf) : 365 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.42442 variance of residuals (reduced chisquare) = WSSR/ndf : 2.02897 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 2260.22 +/- 8.889 (0.3933%) a12 = 350.803 +/- 0.119 (0.03391%) a13 = 36.7998 +/- 0.0926 (0.2516%) a21 = 316.193 +/- 3.886 (1.229%) a22 = 185.459 +/- 0.3679 (0.1984%) a23 = 32.8316 +/- 0.3923 (1.195%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.041 1.000 a13 -0.604 -0.099 1.000 a21 -0.039 -0.074 0.104 1.000 a22 0.057 0.080 -0.130 0.028 1.000 a23 0.094 0.156 -0.231 -0.660 -0.058 1.000 ******************************************************************************* Tue Oct 23 15:51:31 2007 FIT: data read from "1.48-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 311 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 129403 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.710523 initial set of free parameter values a11 = 3000 a12 = 280 a13 = 10 a21 = 450 a22 = 150 a23 = 10 After 5 iterations the fit converged. final sum of squares of residuals : 841.088 rel. change during last iteration : -7.87269e-07 degrees of freedom (ndf) : 305 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.66062 variance of residuals (reduced chisquare) = WSSR/ndf : 2.75766 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 2782.75 +/- 12.8 (0.46%) a12 = 281.541 +/- 0.1129 (0.0401%) a13 = 29.7376 +/- 0.0882 (0.2966%) a21 = 374.879 +/- 5.237 (1.397%) a22 = 146.152 +/- 0.3542 (0.2424%) a23 = 28.5047 +/- 0.3639 (1.277%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.039 1.000 a13 -0.604 -0.100 1.000 a21 -0.036 -0.074 0.100 1.000 a22 0.073 0.110 -0.173 -0.015 1.000 a23 0.096 0.167 -0.244 -0.656 0.078 1.000 ******************************************************************************* Tue Oct 23 15:54:10 2007 FIT: data read from "1.46-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 311 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : inf delta(WSSR)/WSSR : nan delta(WSSR) : nan limit for stopping : 1e-05 lambda : nan initial set of free parameter values a11 = 3000 a12 = 280 a13 = 10 a21 = 450 a22 = 150 a23 = 10 After 1 iterations the fit converged. final sum of squares of residuals : inf rel. change during last iteration : nan degrees of freedom (ndf) : 305 rms of residuals (stdfit) = sqrt(WSSR/ndf) : inf variance of residuals (reduced chisquare) = WSSR/ndf : inf Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3000 +/- nan (nan%) a12 = 280 +/- nan (nan%) a13 = 10 +/- nan (nan%) a21 = 450 +/- nan (nan%) a22 = 150 +/- nan (nan%) a23 = 10 +/- nan (nan%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 nan a12 nan nan a13 nan nan nan a21 nan nan nan nan a22 nan nan nan nan nan a23 nan nan nan nan nan nan ******************************************************************************* Tue Oct 23 15:55:31 2007 FIT: data read from "1.46-nagao-1.hist" using 1:2:($2**0.5) BREAK: No data to fit ******************************************************************************* Tue Oct 23 15:55:40 2007 FIT: data read from "1.46-nagao-1.hist" using 1:2:($2**0.5) BREAK: No data to fit ******************************************************************************* Tue Oct 23 15:55:54 2007 FIT: data read from "1.46-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 231 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : inf delta(WSSR)/WSSR : nan delta(WSSR) : nan limit for stopping : 1e-05 lambda : nan initial set of free parameter values a11 = 3500 a12 = 230 a13 = 10 a21 = 500 a22 = 110 a23 = 10 After 1 iterations the fit converged. final sum of squares of residuals : inf rel. change during last iteration : nan degrees of freedom (ndf) : 225 rms of residuals (stdfit) = sqrt(WSSR/ndf) : inf variance of residuals (reduced chisquare) = WSSR/ndf : inf Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3500 +/- nan (nan%) a12 = 230 +/- nan (nan%) a13 = 10 +/- nan (nan%) a21 = 500 +/- nan (nan%) a22 = 110 +/- nan (nan%) a23 = 10 +/- nan (nan%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 nan a12 nan nan a13 nan nan nan a21 nan nan nan nan a22 nan nan nan nan nan a23 nan nan nan nan nan nan ******************************************************************************* Tue Oct 23 15:56:59 2007 FIT: data read from "1.46-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 231 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : inf delta(WSSR)/WSSR : nan delta(WSSR) : nan limit for stopping : 1e-05 lambda : nan initial set of free parameter values a11 = 3500 a12 = 230 a13 = 10 a21 = 500 a22 = 130 a23 = 10 After 1 iterations the fit converged. final sum of squares of residuals : inf rel. change during last iteration : nan degrees of freedom (ndf) : 225 rms of residuals (stdfit) = sqrt(WSSR/ndf) : inf variance of residuals (reduced chisquare) = WSSR/ndf : inf Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3500 +/- nan (nan%) a12 = 230 +/- nan (nan%) a13 = 10 +/- nan (nan%) a21 = 500 +/- nan (nan%) a22 = 130 +/- nan (nan%) a23 = 10 +/- nan (nan%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 nan a12 nan nan a13 nan nan nan a21 nan nan nan nan a22 nan nan nan nan nan a23 nan nan nan nan nan nan ******************************************************************************* Tue Oct 23 15:57:45 2007 FIT: data read from "1.46-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 231 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : inf delta(WSSR)/WSSR : nan delta(WSSR) : nan limit for stopping : 1e-05 lambda : nan initial set of free parameter values a11 = 3400 a12 = 230 a13 = 10 a21 = 500 a22 = 130 a23 = 10 After 1 iterations the fit converged. final sum of squares of residuals : inf rel. change during last iteration : nan degrees of freedom (ndf) : 225 rms of residuals (stdfit) = sqrt(WSSR/ndf) : inf variance of residuals (reduced chisquare) = WSSR/ndf : inf Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3400 +/- nan (nan%) a12 = 230 +/- nan (nan%) a13 = 10 +/- nan (nan%) a21 = 500 +/- nan (nan%) a22 = 130 +/- nan (nan%) a23 = 10 +/- nan (nan%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 nan a12 nan nan a13 nan nan nan a21 nan nan nan nan a22 nan nan nan nan nan a23 nan nan nan nan nan nan ******************************************************************************* Tue Oct 23 15:57:59 2007 FIT: data read from "1.46-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 231 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : inf delta(WSSR)/WSSR : nan delta(WSSR) : nan limit for stopping : 1e-05 lambda : nan initial set of free parameter values a11 = 3400 a12 = 210 a13 = 10 a21 = 500 a22 = 130 a23 = 10 After 1 iterations the fit converged. final sum of squares of residuals : inf rel. change during last iteration : nan degrees of freedom (ndf) : 225 rms of residuals (stdfit) = sqrt(WSSR/ndf) : inf variance of residuals (reduced chisquare) = WSSR/ndf : inf Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3400 +/- nan (nan%) a12 = 210 +/- nan (nan%) a13 = 10 +/- nan (nan%) a21 = 500 +/- nan (nan%) a22 = 130 +/- nan (nan%) a23 = 10 +/- nan (nan%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 nan a12 nan nan a13 nan nan nan a21 nan nan nan nan a22 nan nan nan nan nan a23 nan nan nan nan nan nan ******************************************************************************* Tue Oct 23 15:58:14 2007 FIT: data read from "1.46-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 231 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : inf delta(WSSR)/WSSR : nan delta(WSSR) : nan limit for stopping : 1e-05 lambda : nan initial set of free parameter values a11 = 3400 a12 = 210 a13 = 5 a21 = 500 a22 = 130 a23 = 5 After 1 iterations the fit converged. final sum of squares of residuals : inf rel. change during last iteration : nan degrees of freedom (ndf) : 225 rms of residuals (stdfit) = sqrt(WSSR/ndf) : inf variance of residuals (reduced chisquare) = WSSR/ndf : inf Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3400 +/- nan (nan%) a12 = 210 +/- nan (nan%) a13 = 5 +/- nan (nan%) a21 = 500 +/- nan (nan%) a22 = 130 +/- nan (nan%) a23 = 5 +/- nan (nan%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 nan a12 nan nan a13 nan nan nan a21 nan nan nan nan a22 nan nan nan nan nan a23 nan nan nan nan nan nan ******************************************************************************* Tue Oct 23 15:58:25 2007 FIT: data read from "1.46-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 231 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : inf delta(WSSR)/WSSR : nan delta(WSSR) : nan limit for stopping : 1e-05 lambda : inf initial set of free parameter values a11 = 3400 a12 = 210 a13 = 20 a21 = 500 a22 = 130 a23 = 20 After 1 iterations the fit converged. final sum of squares of residuals : inf rel. change during last iteration : nan degrees of freedom (ndf) : 225 rms of residuals (stdfit) = sqrt(WSSR/ndf) : inf variance of residuals (reduced chisquare) = WSSR/ndf : inf Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3400 +/- nan (nan%) a12 = 210 +/- nan (nan%) a13 = 20 +/- nan (nan%) a21 = 500 +/- nan (nan%) a22 = 130 +/- nan (nan%) a23 = 20 +/- nan (nan%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 nan a12 nan nan a13 nan nan nan a21 nan nan nan nan a22 nan nan nan nan nan a23 nan nan nan nan nan nan ******************************************************************************* Tue Oct 23 16:01:26 2007 FIT: data read from "1.46-nagao-1.hist" #datapoints = 231 residuals are weighted equally (unit weight) function used for fitting: f1(x)+f2(x) ******************************************************************************* Tue Oct 23 16:02:54 2007 FIT: data read from "1.46-nagao-1.hist" #datapoints = 231 residuals are weighted equally (unit weight) function used for fitting: f1(x)+f2(x) ******************************************************************************* Tue Oct 23 16:04:23 2007 FIT: data read from "1.46-nagao-1.hist" #datapoints = 231 residuals are weighted equally (unit weight) function used for fitting: f1(x)+f2(x) ******************************************************************************* Tue Oct 23 16:05:31 2007 FIT: data read from "1.46-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 231 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : inf delta(WSSR)/WSSR : nan delta(WSSR) : nan limit for stopping : 1e-05 lambda : inf initial set of free parameter values a11 = 3400 a12 = 210 a13 = 20 a21 = 500 a22 = 130 a23 = 20 After 1 iterations the fit converged. final sum of squares of residuals : inf rel. change during last iteration : nan degrees of freedom (ndf) : 225 rms of residuals (stdfit) = sqrt(WSSR/ndf) : inf variance of residuals (reduced chisquare) = WSSR/ndf : inf Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3400 +/- nan (nan%) a12 = 210 +/- nan (nan%) a13 = 20 +/- nan (nan%) a21 = 500 +/- nan (nan%) a22 = 130 +/- nan (nan%) a23 = 20 +/- nan (nan%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 nan a12 nan nan a13 nan nan nan a21 nan nan nan nan a22 nan nan nan nan nan a23 nan nan nan nan nan nan ******************************************************************************* Tue Oct 23 16:08:09 2007 FIT: data read from "1.46-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 231 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : inf delta(WSSR)/WSSR : nan delta(WSSR) : nan limit for stopping : 1e-05 lambda : nan initial set of free parameter values a11 = 3400 a12 = 210 a13 = 10 a21 = 450 a22 = 130 a23 = 10 After 1 iterations the fit converged. final sum of squares of residuals : inf rel. change during last iteration : nan degrees of freedom (ndf) : 225 rms of residuals (stdfit) = sqrt(WSSR/ndf) : inf variance of residuals (reduced chisquare) = WSSR/ndf : inf Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3400 +/- nan (nan%) a12 = 210 +/- nan (nan%) a13 = 10 +/- nan (nan%) a21 = 450 +/- nan (nan%) a22 = 130 +/- nan (nan%) a23 = 10 +/- nan (nan%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 nan a12 nan nan a13 nan nan nan a21 nan nan nan nan a22 nan nan nan nan nan a23 nan nan nan nan nan nan ******************************************************************************* Tue Oct 23 16:10:01 2007 FIT: data read from "1.44-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 221 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 76680.5 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.971581 initial set of free parameter values a11 = 2400 a12 = 200 a13 = 10 a21 = 400 a22 = 100 a23 = 10 After 9 iterations the fit converged. final sum of squares of residuals : 1251.84 rel. change during last iteration : -3.43621e-06 degrees of freedom (ndf) : 215 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 2.41299 variance of residuals (reduced chisquare) = WSSR/ndf : 5.8225 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 2439.85 +/- 21.14 (0.8663%) a12 = 184.304 +/- 0.1529 (0.08297%) a13 = 20.2965 +/- 0.1215 (0.5984%) a21 = 282.601 +/- 7.134 (2.524%) a22 = 90.9506 +/- 0.6173 (0.6787%) a23 = 25.6821 +/- 0.642 (2.5%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.058 1.000 a13 -0.595 -0.184 1.000 a21 -0.021 -0.097 0.101 1.000 a22 0.114 0.241 -0.316 -0.060 1.000 a23 0.104 0.274 -0.332 -0.648 0.302 1.000 ******************************************************************************* Tue Oct 23 16:21:07 2007 FIT: data read from "1.42-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 221 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values BREAK: Undefined value during function evaluation ******************************************************************************* Tue Oct 23 16:21:27 2007 FIT: data read from "1.42-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 221 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values BREAK: Undefined value during function evaluation ******************************************************************************* Tue Oct 23 16:22:10 2007 FIT: data read from "1.42-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 161 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values BREAK: Undefined value during function evaluation ******************************************************************************* Tue Oct 23 16:23:32 2007 FIT: data read from "1.42-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 161 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 86628.7 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.41801 initial set of free parameter values a11 = 1800 a12 = 15 a13 = 10 a21 = 200 a22 = 75 a23 = 10 BREAK: Undefined value during function evaluation ******************************************************************************* Tue Oct 23 16:24:01 2007 FIT: data read from "1.42-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 161 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 30819.4 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.786736 initial set of free parameter values a11 = 1800 a12 = 150 a13 = 10 a21 = 200 a22 = 75 a23 = 10 After 6 iterations the fit converged. final sum of squares of residuals : 372.879 rel. change during last iteration : -5.12482e-06 degrees of freedom (ndf) : 155 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.55102 variance of residuals (reduced chisquare) = WSSR/ndf : 2.40567 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1871.15 +/- 12.79 (0.6837%) a12 = 148.978 +/- 0.105 (0.07046%) a13 = 17.6837 +/- 0.08451 (0.4779%) a21 = 238.97 +/- 4.926 (2.061%) a22 = 72.977 +/- 0.3811 (0.5222%) a23 = 18.4899 +/- 0.4136 (2.237%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.065 1.000 a13 -0.600 -0.180 1.000 a21 -0.034 -0.105 0.118 1.000 a22 0.112 0.204 -0.282 -0.012 1.000 a23 0.123 0.273 -0.347 -0.639 0.157 1.000 ******************************************************************************* Tue Oct 23 16:25:07 2007 FIT: data read from "1.42-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 161 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 31736.4 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.790415 initial set of free parameter values a11 = 1800 a12 = 150 a13 = 10 a21 = 200 a22 = 90 a23 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 372.879 rel. change during last iteration : -1.57897e-06 degrees of freedom (ndf) : 155 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.55102 variance of residuals (reduced chisquare) = WSSR/ndf : 2.40567 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1871.17 +/- 12.79 (0.6837%) a12 = 148.978 +/- 0.105 (0.07047%) a13 = 17.6833 +/- 0.08452 (0.478%) a21 = 238.952 +/- 4.926 (2.061%) a22 = 72.9791 +/- 0.3811 (0.5223%) a23 = 18.4925 +/- 0.4137 (2.237%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.065 1.000 a13 -0.600 -0.180 1.000 a21 -0.034 -0.105 0.118 1.000 a22 0.112 0.204 -0.282 -0.012 1.000 a23 0.123 0.273 -0.347 -0.639 0.157 1.000 ******************************************************************************* Tue Oct 23 16:25:50 2007 FIT: data read from "1.42-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 161 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 26191.9 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.768414 initial set of free parameter values a11 = 1800 a12 = 150 a13 = 10 a21 = 200 a22 = 90 a23 = 20 BREAK: Undefined value during function evaluation ******************************************************************************* Tue Oct 23 16:26:12 2007 FIT: data read from "1.42-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 161 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 31736.4 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.790415 initial set of free parameter values a11 = 1800 a12 = 150 a13 = 10 a21 = 200 a22 = 90 a23 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 372.879 rel. change during last iteration : -1.57897e-06 degrees of freedom (ndf) : 155 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.55102 variance of residuals (reduced chisquare) = WSSR/ndf : 2.40567 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1871.17 +/- 12.79 (0.6837%) a12 = 148.978 +/- 0.105 (0.07047%) a13 = 17.6833 +/- 0.08452 (0.478%) a21 = 238.952 +/- 4.926 (2.061%) a22 = 72.9791 +/- 0.3811 (0.5223%) a23 = 18.4925 +/- 0.4137 (2.237%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.065 1.000 a13 -0.600 -0.180 1.000 a21 -0.034 -0.105 0.118 1.000 a22 0.112 0.204 -0.282 -0.012 1.000 a23 0.123 0.273 -0.347 -0.639 0.157 1.000 ******************************************************************************* Tue Oct 23 16:26:19 2007 FIT: data read from "1.42-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 161 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 34562.3 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.823957 initial set of free parameter values a11 = 1800 a12 = 150 a13 = 10 a21 = 200 a22 = 90 a23 = 5 After 7 iterations the fit converged. final sum of squares of residuals : 372.879 rel. change during last iteration : -7.53793e-07 degrees of freedom (ndf) : 155 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.55102 variance of residuals (reduced chisquare) = WSSR/ndf : 2.40567 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1871.16 +/- 12.79 (0.6837%) a12 = 148.978 +/- 0.105 (0.07046%) a13 = 17.6835 +/- 0.08452 (0.4779%) a21 = 238.963 +/- 4.926 (2.061%) a22 = 72.9778 +/- 0.3811 (0.5222%) a23 = 18.4909 +/- 0.4137 (2.237%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.065 1.000 a13 -0.600 -0.180 1.000 a21 -0.034 -0.105 0.118 1.000 a22 0.112 0.204 -0.282 -0.012 1.000 a23 0.123 0.273 -0.347 -0.639 0.157 1.000 ******************************************************************************* Tue Oct 23 16:26:28 2007 FIT: data read from "1.42-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 161 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 28912.6 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.774911 initial set of free parameter values a11 = 1800 a12 = 150 a13 = 10 a21 = 200 a22 = 90 a23 = 15 After 8 iterations the fit converged. final sum of squares of residuals : 372.879 rel. change during last iteration : -1.21797e-06 degrees of freedom (ndf) : 155 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.55102 variance of residuals (reduced chisquare) = WSSR/ndf : 2.40567 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1871.16 +/- 12.79 (0.6837%) a12 = 148.978 +/- 0.105 (0.07046%) a13 = 17.6835 +/- 0.08452 (0.4779%) a21 = 238.964 +/- 4.926 (2.061%) a22 = 72.9777 +/- 0.3811 (0.5222%) a23 = 18.4907 +/- 0.4137 (2.237%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.065 1.000 a13 -0.600 -0.180 1.000 a21 -0.034 -0.105 0.118 1.000 a22 0.112 0.204 -0.282 -0.012 1.000 a23 0.123 0.273 -0.347 -0.639 0.157 1.000 ******************************************************************************* Tue Oct 23 16:26:40 2007 FIT: data read from "1.42-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 161 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 31736.4 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.790415 initial set of free parameter values a11 = 1800 a12 = 150 a13 = 10 a21 = 200 a22 = 90 a23 = 10 After 7 iterations the fit converged. final sum of squares of residuals : 372.879 rel. change during last iteration : -1.57897e-06 degrees of freedom (ndf) : 155 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.55102 variance of residuals (reduced chisquare) = WSSR/ndf : 2.40567 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1871.17 +/- 12.79 (0.6837%) a12 = 148.978 +/- 0.105 (0.07047%) a13 = 17.6833 +/- 0.08452 (0.478%) a21 = 238.952 +/- 4.926 (2.061%) a22 = 72.9791 +/- 0.3811 (0.5223%) a23 = 18.4925 +/- 0.4137 (2.237%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.065 1.000 a13 -0.600 -0.180 1.000 a21 -0.034 -0.105 0.118 1.000 a22 0.112 0.204 -0.282 -0.012 1.000 a23 0.123 0.273 -0.347 -0.639 0.157 1.000 ******************************************************************************* Tue Oct 23 16:34:16 2007 FIT: data read from "1.46-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 231 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : inf delta(WSSR)/WSSR : nan delta(WSSR) : nan limit for stopping : 1e-05 lambda : inf initial set of free parameter values a11 = 3500 a12 = 230 a13 = 25 a21 = 500 a22 = 120 a23 = 25 After 1 iterations the fit converged. final sum of squares of residuals : inf rel. change during last iteration : nan degrees of freedom (ndf) : 225 rms of residuals (stdfit) = sqrt(WSSR/ndf) : inf variance of residuals (reduced chisquare) = WSSR/ndf : inf Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3500 +/- nan (nan%) a12 = 230 +/- nan (nan%) a13 = 25 +/- nan (nan%) a21 = 500 +/- nan (nan%) a22 = 120 +/- nan (nan%) a23 = 25 +/- nan (nan%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 nan a12 nan nan a13 nan nan nan a21 nan nan nan nan a22 nan nan nan nan nan a23 nan nan nan nan nan nan ******************************************************************************* Tue Oct 23 16:34:42 2007 FIT: data read from "1.46-nagao-1.hist" using 1:2:($2**0.5) #datapoints = 221 function used for fitting: f1(x)+f2(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 6042.25 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1.05375 initial set of free parameter values a11 = 3500 a12 = 230 a13 = 25 a21 = 500 a22 = 120 a23 = 25 After 5 iterations the fit converged. final sum of squares of residuals : 473.099 rel. change during last iteration : -1.20151e-16 degrees of freedom (ndf) : 215 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.4834 variance of residuals (reduced chisquare) = WSSR/ndf : 2.20046 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3406.17 +/- 14.04 (0.4123%) a12 = 226.854 +/- 0.08309 (0.03663%) a13 = 24.3429 +/- 0.06608 (0.2714%) a21 = 458.58 +/- 5.863 (1.278%) a22 = 116.641 +/- 0.2788 (0.239%) a23 = 23.0777 +/- 0.3058 (1.325%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.033 1.000 a13 -0.607 -0.086 1.000 a21 -0.044 -0.084 0.117 1.000 a22 0.059 0.079 -0.132 0.057 1.000 a23 0.104 0.174 -0.258 -0.659 -0.110 1.000