******************************************************************************* Tue Jan 8 16:25:05 2008 FIT: data read from "001.hist" using 1:2:($2**0.5) #datapoints = 471 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 269545 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.545117 initial set of free parameter values a11 = 1600 a12 = 520 a13 = 70 a21 = 200 a22 = 270 a23 = 50 After 6 iterations the fit converged. final sum of squares of residuals : 1093.53 rel. change during last iteration : -4.76953e-07 degrees of freedom (ndf) : 465 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.53352 variance of residuals (reduced chisquare) = WSSR/ndf : 2.35167 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1534.01 +/- 6.939 (0.4523%) a12 = 507.08 +/- 0.1727 (0.03407%) a13 = 47.2016 +/- 0.1327 (0.2811%) a21 = 202.292 +/- 2.882 (1.425%) a22 = 273.725 +/- 0.5378 (0.1965%) a23 = 42.9943 +/- 0.5445 (1.267%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.011 1.000 a13 -0.604 -0.030 1.000 a21 -0.033 -0.046 0.077 1.000 a22 0.032 0.037 -0.070 0.029 1.000 a23 0.067 0.088 -0.155 -0.657 -0.108 1.000 ******************************************************************************* Tue Jan 8 16:25:50 2008 FIT: data read from "001.hist" using 1:2:($2**0.5) #datapoints = 471 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 267656 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.543368 initial set of free parameter values a11 = 1600 a12 = 520 a13 = 70 a21 = 200 a22 = 250 a23 = 50 After 6 iterations the fit converged. final sum of squares of residuals : 1093.53 rel. change during last iteration : -4.88599e-07 degrees of freedom (ndf) : 465 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.53352 variance of residuals (reduced chisquare) = WSSR/ndf : 2.35167 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1534.01 +/- 6.939 (0.4523%) a12 = 507.08 +/- 0.1727 (0.03407%) a13 = 47.2016 +/- 0.1327 (0.2811%) a21 = 202.292 +/- 2.882 (1.425%) a22 = 273.725 +/- 0.5378 (0.1965%) a23 = 42.9942 +/- 0.5445 (1.267%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.011 1.000 a13 -0.604 -0.030 1.000 a21 -0.033 -0.046 0.077 1.000 a22 0.032 0.037 -0.070 0.029 1.000 a23 0.067 0.088 -0.155 -0.657 -0.108 1.000 ******************************************************************************* Tue Jan 8 16:26:49 2008 FIT: data read from "001.hist" using 1:2:($2**0.5) #datapoints = 471 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1093.53 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.336125 initial set of free parameter values a11 = 1534.01 a12 = 507.08 a13 = 47.2016 a21 = 202.292 a22 = 273.725 a23 = 42.9942 After 1 iterations the fit converged. final sum of squares of residuals : 1093.53 rel. change during last iteration : -1.98151e-08 degrees of freedom (ndf) : 465 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.53352 variance of residuals (reduced chisquare) = WSSR/ndf : 2.35167 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1534.01 +/- 6.939 (0.4523%) a12 = 507.08 +/- 0.1727 (0.03407%) a13 = 47.2016 +/- 0.1327 (0.2811%) a21 = 202.291 +/- 2.882 (1.425%) a22 = 273.725 +/- 0.5378 (0.1965%) a23 = 42.9945 +/- 0.5445 (1.267%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.011 1.000 a13 -0.604 -0.030 1.000 a21 -0.033 -0.046 0.077 1.000 a22 0.032 0.037 -0.070 0.029 1.000 a23 0.067 0.088 -0.155 -0.657 -0.108 1.000 ******************************************************************************* Tue Jan 8 16:30:03 2008 FIT: data read from "001.hist" using 1:2:($2**0.5) #datapoints = 466 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1077.21 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.337025 initial set of free parameter values a11 = 1534.01 a12 = 507.08 a13 = 47.2016 a21 = 202.291 a22 = 273.725 a23 = 42.9945 After 3 iterations the fit converged. final sum of squares of residuals : 1075.82 rel. change during last iteration : -5.32725e-07 degrees of freedom (ndf) : 460 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.52929 variance of residuals (reduced chisquare) = WSSR/ndf : 2.33874 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1534.26 +/- 6.922 (0.4512%) a12 = 507.088 +/- 0.1723 (0.03399%) a13 = 47.1908 +/- 0.1325 (0.2808%) a21 = 201.627 +/- 2.884 (1.43%) a22 = 273.458 +/- 0.5645 (0.2064%) a23 = 43.3612 +/- 0.5826 (1.344%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.012 1.000 a13 -0.604 -0.032 1.000 a21 -0.035 -0.049 0.082 1.000 a22 0.026 0.029 -0.057 0.067 1.000 a23 0.070 0.092 -0.160 -0.657 -0.199 1.000 ******************************************************************************* Tue Jan 8 16:30:22 2008 FIT: data read from "001.hist" using 1:2:($2**0.5) #datapoints = 461 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1043.16 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.337726 initial set of free parameter values a11 = 1534.26 a12 = 507.088 a13 = 47.1908 a21 = 201.627 a22 = 273.458 a23 = 43.3612 After 3 iterations the fit converged. final sum of squares of residuals : 1037.91 rel. change during last iteration : -1.98487e-06 degrees of freedom (ndf) : 455 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.51034 variance of residuals (reduced chisquare) = WSSR/ndf : 2.28112 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1534.76 +/- 6.841 (0.4458%) a12 = 507.103 +/- 0.1703 (0.03359%) a13 = 47.1687 +/- 0.1312 (0.2781%) a21 = 200.422 +/- 2.846 (1.42%) a22 = 272.824 +/- 0.6091 (0.2233%) a23 = 44.145 +/- 0.6363 (1.441%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.013 1.000 a13 -0.604 -0.034 1.000 a21 -0.038 -0.054 0.090 1.000 a22 0.018 0.017 -0.036 0.116 1.000 a23 0.073 0.099 -0.170 -0.652 -0.319 1.000 ******************************************************************************* Tue Jan 8 16:30:51 2008 FIT: data read from "001.hist" using 1:2:($2**0.5) #datapoints = 466 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 5786.72 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.333922 initial set of free parameter values a11 = 1534.76 a12 = 507.103 a13 = 47.1687 a21 = 230 a22 = 250 a23 = 50 After 4 iterations the fit converged. final sum of squares of residuals : 1075.82 rel. change during last iteration : -4.74407e-06 degrees of freedom (ndf) : 460 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.52929 variance of residuals (reduced chisquare) = WSSR/ndf : 2.33874 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1534.27 +/- 6.922 (0.4512%) a12 = 507.088 +/- 0.1723 (0.03399%) a13 = 47.1904 +/- 0.1325 (0.2808%) a21 = 201.605 +/- 2.884 (1.43%) a22 = 273.461 +/- 0.5646 (0.2065%) a23 = 43.3674 +/- 0.5827 (1.344%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.012 1.000 a13 -0.604 -0.032 1.000 a21 -0.035 -0.049 0.082 1.000 a22 0.026 0.029 -0.057 0.067 1.000 a23 0.070 0.092 -0.160 -0.657 -0.199 1.000 ******************************************************************************* Tue Jan 8 16:31:04 2008 FIT: data read from "001.hist" using 1:2:($2**0.5) #datapoints = 466 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 9400.08 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.33708 initial set of free parameter values a11 = 1534.27 a12 = 507.088 a13 = 47.1904 a21 = 270 a22 = 250 a23 = 50 After 4 iterations the fit converged. final sum of squares of residuals : 1075.82 rel. change during last iteration : -8.74065e-06 degrees of freedom (ndf) : 460 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.52929 variance of residuals (reduced chisquare) = WSSR/ndf : 2.33874 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 1534.25 +/- 6.922 (0.4512%) a12 = 507.088 +/- 0.1723 (0.03399%) a13 = 47.1912 +/- 0.1325 (0.2808%) a21 = 201.644 +/- 2.884 (1.43%) a22 = 273.457 +/- 0.5645 (0.2064%) a23 = 43.3562 +/- 0.5825 (1.344%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.012 1.000 a13 -0.604 -0.031 1.000 a21 -0.035 -0.049 0.082 1.000 a22 0.026 0.029 -0.057 0.067 1.000 a23 0.070 0.092 -0.160 -0.657 -0.199 1.000 ******************************************************************************* Tue Jan 8 16:39:13 2008 FIT: data read from "002.hist" using 1:2:($2**0.5) #datapoints = 875 function used for fitting: f(x)+g(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 = 2200 a12 = 400 a13 = 50 a21 = 250 a22 = 200 a23 = 40 After 1 iterations the fit converged. final sum of squares of residuals : inf rel. change during last iteration : nan degrees of freedom (ndf) : 869 rms of residuals (stdfit) = sqrt(WSSR/ndf) : inf variance of residuals (reduced chisquare) = WSSR/ndf : inf Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 2200 +/- nan (nan%) a12 = 400 +/- nan (nan%) a13 = 50 +/- nan (nan%) a21 = 250 +/- nan (nan%) a22 = 200 +/- nan (nan%) a23 = 40 +/- 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 Jan 8 16:39:35 2008 FIT: data read from "002.hist" using 1:2:($2**0.5) #datapoints = 361 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : nan delta(WSSR)/WSSR : 0 delta(WSSR) : nan limit for stopping : 1e-05 lambda : nan initial set of free parameter values a11 = nan a12 = nan a13 = nan a21 = nan a22 = nan a23 = 40 After 1 iterations the fit converged. final sum of squares of residuals : nan abs. change during last iteration : nan degrees of freedom (ndf) : 355 rms of residuals (stdfit) = sqrt(WSSR/ndf) : nan variance of residuals (reduced chisquare) = WSSR/ndf : nan Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = nan +/- nan (nan%) a12 = nan +/- nan (nan%) a13 = nan +/- nan (nan%) a21 = nan +/- nan (nan%) a22 = nan +/- nan (nan%) a23 = 40 +/- 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 Jan 8 16:40:56 2008 FIT: data read from "002.hist" using 1:2:($2**0.5) #datapoints = 361 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 306502 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.901046 initial set of free parameter values a11 = 2200 a12 = 400 a13 = 50 a21 = 250 a22 = 200 a23 = 40 After 6 iterations the fit converged. final sum of squares of residuals : 883.637 rel. change during last iteration : -2.66178e-06 degrees of freedom (ndf) : 355 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.57769 variance of residuals (reduced chisquare) = WSSR/ndf : 2.48912 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 2030.57 +/- 9.434 (0.4646%) a12 = 383.659 +/- 0.1344 (0.03503%) a13 = 35.7654 +/- 0.1032 (0.2886%) a21 = 259.424 +/- 3.817 (1.471%) a22 = 202.932 +/- 0.458 (0.2257%) a23 = 33.9404 +/- 0.4726 (1.393%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.007 1.000 a13 -0.603 -0.024 1.000 a21 -0.035 -0.049 0.083 1.000 a22 0.024 0.025 -0.051 0.079 1.000 a23 0.069 0.091 -0.160 -0.656 -0.223 1.000 ******************************************************************************* Tue Jan 8 16:41:59 2008 FIT: data read from "002.hist" using 1:2:($2**0.5) #datapoints = 381 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 957.247 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.496317 initial set of free parameter values a11 = 2030.57 a12 = 383.659 a13 = 35.7654 a21 = 259.424 a22 = 202.932 a23 = 33.9404 After 3 iterations the fit converged. final sum of squares of residuals : 954.044 rel. change during last iteration : -5.92127e-06 degrees of freedom (ndf) : 375 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.59503 variance of residuals (reduced chisquare) = WSSR/ndf : 2.54412 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 2031.16 +/- 9.538 (0.4696%) a12 = 383.669 +/- 0.1358 (0.0354%) a13 = 35.7509 +/- 0.1042 (0.2915%) a21 = 257.281 +/- 3.721 (1.446%) a22 = 202.783 +/- 0.4153 (0.2048%) a23 = 34.3633 +/- 0.3989 (1.161%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.007 1.000 a13 -0.603 -0.023 1.000 a21 -0.030 -0.042 0.071 1.000 a22 0.043 0.050 -0.094 -0.029 1.000 a23 0.066 0.087 -0.153 -0.656 0.050 1.000 ******************************************************************************* Tue Jan 8 16:42:50 2008 FIT: data read from "002.hist" using 1:2:($2**0.5) #datapoints = 381 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1845.85 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.502359 initial set of free parameter values a11 = 2031.16 a12 = 383.669 a13 = 35.7509 a21 = 300 a22 = 200 a23 = 35 After 5 iterations the fit converged. final sum of squares of residuals : 954.044 rel. change during last iteration : -8.08224e-07 degrees of freedom (ndf) : 375 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.59503 variance of residuals (reduced chisquare) = WSSR/ndf : 2.54412 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 2031.16 +/- 9.539 (0.4696%) a12 = 383.669 +/- 0.1358 (0.0354%) a13 = 35.7507 +/- 0.1042 (0.2915%) a21 = 257.27 +/- 3.721 (1.446%) a22 = 202.784 +/- 0.4153 (0.2048%) a23 = 34.3651 +/- 0.399 (1.161%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.007 1.000 a13 -0.603 -0.023 1.000 a21 -0.030 -0.042 0.071 1.000 a22 0.043 0.050 -0.094 -0.029 1.000 a23 0.066 0.087 -0.153 -0.656 0.050 1.000 ******************************************************************************* Tue Jan 8 16:43:35 2008 FIT: data read from "002.hist" using 1:2:($2**0.5) #datapoints = 381 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 13415.5 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.503635 initial set of free parameter values a11 = 2031.16 a12 = 383.669 a13 = 35.7507 a21 = 350 a22 = 200 a23 = 45 After 5 iterations the fit converged. final sum of squares of residuals : 954.044 rel. change during last iteration : -7.30897e-07 degrees of freedom (ndf) : 375 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.59503 variance of residuals (reduced chisquare) = WSSR/ndf : 2.54412 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 2031.16 +/- 9.539 (0.4696%) a12 = 383.669 +/- 0.1358 (0.0354%) a13 = 35.7507 +/- 0.1042 (0.2915%) a21 = 257.269 +/- 3.721 (1.446%) a22 = 202.784 +/- 0.4153 (0.2048%) a23 = 34.3652 +/- 0.399 (1.161%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.007 1.000 a13 -0.603 -0.023 1.000 a21 -0.030 -0.042 0.071 1.000 a22 0.043 0.050 -0.094 -0.029 1.000 a23 0.066 0.087 -0.153 -0.656 0.050 1.000 ******************************************************************************* Tue Jan 8 16:53:19 2008 FIT: data read from "002.hist" using 1:2:($2**0.5) #datapoints = 131 function used for fitting: g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 13858.3 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.288974 initial set of free parameter values a21 = 350 a22 = 200 a23 = 45 a24 = 10 After 9 iterations the fit converged. final sum of squares of residuals : 160.565 rel. change during last iteration : -1.2605e-06 degrees of freedom (ndf) : 127 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.12441 variance of residuals (reduced chisquare) = WSSR/ndf : 1.26429 Final set of parameters Asymptotic Standard Error ======================= ========================== a21 = 238.866 +/- 3.717 (1.556%) a22 = 202.052 +/- 0.3221 (0.1594%) a23 = 26.9497 +/- 0.6051 (2.245%) a24 = 37.7586 +/- 3.297 (8.732%) correlation matrix of the fit parameters: a21 a22 a23 a24 a21 1.000 a22 -0.130 1.000 a23 0.255 -0.077 1.000 a24 -0.570 0.143 -0.876 1.000