******************************************************************************* Tue Jan 8 15:31:39 2008 FIT: data read from "001.hist" #datapoints = 251 residuals are weighted equally (unit weight) function used for fitting: f(x) ******************************************************************************* Tue Jan 8 15:31:51 2008 FIT: data read from "001.hist" #datapoints = 251 residuals are weighted equally (unit weight) function used for fitting: f(x) ******************************************************************************* Tue Jan 8 15:32:11 2008 FIT: data read from "001.hist" #datapoints = 251 residuals are weighted equally (unit weight) function used for fitting: f(x) ******************************************************************************* Tue Jan 8 15:32:38 2008 FIT: data read from "001.hist" #datapoints = 251 residuals are weighted equally (unit weight) function used for fitting: f(x) ******************************************************************************* Tue Jan 8 15:32:48 2008 FIT: data read from "001.hist" #datapoints = 251 residuals are weighted equally (unit weight) function used for fitting: f(x) ******************************************************************************* Tue Jan 8 15:34:07 2008 FIT: data read from "001.hist" #datapoints = 251 residuals are weighted equally (unit weight) function used for fitting: f(x) ******************************************************************************* Tue Jan 8 15:38:41 2008 FIT: data read from "001.hist" using 1:2:($2**0.5) #datapoints = 251 function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 115918 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.812162 initial set of free parameter values a11 = 4500 a12 = 450 a13 = 30 a14 = 1e-30 After 6 iterations the fit converged. final sum of squares of residuals : 2317.48 rel. change during last iteration : -1.96225e-16 degrees of freedom (ndf) : 247 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 3.06309 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38252 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Jan 8 15:42:27 2008 FIT: data read from "001.hist" using 1:2:($2**0.5) #datapoints = 251 function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 3821.13 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.893222 initial set of free parameter values a11 = 4500 a12 = 465 a13 = 46 a14 = 1e-30 After 5 iterations the fit converged. final sum of squares of residuals : 2317.48 rel. change during last iteration : -2.62695e-06 degrees of freedom (ndf) : 247 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 3.06309 variance of residuals (reduced chisquare) = WSSR/ndf : 9.38252 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Jan 8 15:43:16 2008 FIT: data read from "001.hist" using 1:2:($2**0.5) #datapoints = 151 function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1299.16 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.694654 initial set of free parameter values a11 = 4207.45 a12 = 465.42 a13 = 46.9515 a14 = 1.001e-30 After 4 iterations the fit converged. final sum of squares of residuals : 898.736 rel. change during last iteration : -1.66944e-06 degrees of freedom (ndf) : 147 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 2.47262 variance of residuals (reduced chisquare) = WSSR/ndf : 6.11385 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Jan 8 15:45:01 2008 FIT: data read from "001.hist" using 1:2:($2**0.5) #datapoints = 151 function used for fitting: f(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 2333.44 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.872747 initial set of free parameter values a11 = 4500 a12 = 465 a13 = 46 After 5 iterations the fit converged. final sum of squares of residuals : 898.736 rel. change during last iteration : -4.71247e-08 degrees of freedom (ndf) : 148 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 2.46425 variance of residuals (reduced chisquare) = WSSR/ndf : 6.07254 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 4264.1 +/- 21.37 (0.5011%) a12 = 463.886 +/- 0.2328 (0.05018%) a13 = 46.2591 +/- 0.261 (0.5643%) correlation matrix of the fit parameters: a11 a12 a13 a11 1.000 a12 0.132 1.000 a13 -0.664 -0.322 1.000 ******************************************************************************* Tue Jan 8 15:48:24 2008 FIT: data read from "001.hist" using 1:2:($2**0.5) #datapoints = 151 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 2333.44 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.617125 initial set of free parameter values a11 = 4500 a12 = 465 a13 = 46 a21 = 700 a22 = 230 a23 = 20 After 5 iterations the fit converged. final sum of squares of residuals : 898.736 rel. change during last iteration : -1.20342e-09 degrees of freedom (ndf) : 145 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 2.48961 variance of residuals (reduced chisquare) = WSSR/ndf : 6.19818 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Jan 8 15:48:44 2008 FIT: data read from "001.hist" using 1:2:($2**0.5) #datapoints = 351 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 20225.5 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.583976 initial set of free parameter values a11 = 4264.13 a12 = 463.886 a13 = 46.2585 a21 = 700 a22 = 230 a23 = 20.02 After 5 iterations the fit converged. final sum of squares of residuals : 1432.42 rel. change during last iteration : -4.28922e-06 degrees of freedom (ndf) : 345 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 2.03763 variance of residuals (reduced chisquare) = WSSR/ndf : 4.15195 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 4290.36 +/- 16.51 (0.3848%) a12 = 464.494 +/- 0.154 (0.03315%) a13 = 45.4766 +/- 0.1392 (0.3062%) a21 = 544.334 +/- 6.259 (1.15%) a22 = 243.503 +/- 0.8563 (0.3517%) a23 = 48.3607 +/- 0.8669 (1.792%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 -0.092 1.000 a13 -0.633 0.200 1.000 a21 -0.073 -0.060 0.157 1.000 a22 -0.028 -0.034 0.068 0.176 1.000 a23 0.142 0.107 -0.298 -0.563 -0.666 1.000 ******************************************************************************* Tue Jan 8 16:02:56 2008 FIT: data read from "002.hist" using 1:2:($2**0.5) #datapoints = 301 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 344804 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.803105 initial set of free parameter values a11 = 3500 a12 = 380 a13 = 46 a21 = 500 a22 = 190 a23 = 20 After 6 iterations the fit converged. final sum of squares of residuals : 992.689 rel. change during last iteration : -9.82948e-07 degrees of freedom (ndf) : 295 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.83441 variance of residuals (reduced chisquare) = WSSR/ndf : 3.36505 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3236.91 +/- 14.43 (0.4458%) a12 = 357.684 +/- 0.122 (0.03411%) a13 = 33.6242 +/- 0.09722 (0.2891%) a21 = 403.368 +/- 5.719 (1.418%) a22 = 187.329 +/- 0.5679 (0.3032%) a23 = 33.2232 +/- 0.571 (1.719%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 -0.010 1.000 a13 -0.612 0.011 1.000 a21 -0.046 -0.058 0.105 1.000 a22 -0.005 -0.013 0.016 0.181 1.000 a23 0.085 0.103 -0.192 -0.615 -0.549 1.000 ******************************************************************************* Tue Jan 8 16:03:29 2008 FIT: data read from "002.hist" using 1:2:($2**0.5) #datapoints = 281 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 939.655 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.714182 initial set of free parameter values a11 = 3236.91 a12 = 357.684 a13 = 33.6242 a21 = 403.368 a22 = 187.329 a23 = 33.2232 After 4 iterations the fit converged. final sum of squares of residuals : 846.481 rel. change during last iteration : -8.15249e-07 degrees of freedom (ndf) : 275 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.75445 variance of residuals (reduced chisquare) = WSSR/ndf : 3.07811 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3243.12 +/- 13.89 (0.4283%) a12 = 357.75 +/- 0.1179 (0.03295%) a13 = 33.5253 +/- 0.09551 (0.2849%) a21 = 419.635 +/- 7.381 (1.759%) a22 = 179.051 +/- 2.018 (1.127%) a23 = 38.56 +/- 1.288 (3.341%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.004 1.000 a13 -0.614 -0.025 1.000 a21 0.011 0.021 -0.031 1.000 a22 -0.077 -0.119 0.190 -0.584 1.000 a23 0.113 0.164 -0.271 0.350 -0.921 1.000 ******************************************************************************* Tue Jan 8 16:03:54 2008 FIT: data read from "002.hist" using 1:2:($2**0.5) #datapoints = 291 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1017.13 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.699962 initial set of free parameter values a11 = 3243.12 a12 = 357.75 a13 = 33.5253 a21 = 419.635 a22 = 179.051 a23 = 38.56 After 4 iterations the fit converged. final sum of squares of residuals : 913.219 rel. change during last iteration : -1.57113e-07 degrees of freedom (ndf) : 285 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.79005 variance of residuals (reduced chisquare) = WSSR/ndf : 3.20428 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3240 +/- 14.12 (0.4358%) a12 = 357.715 +/- 0.1195 (0.0334%) a13 = 33.5762 +/- 0.09588 (0.2855%) a21 = 404.375 +/- 5.467 (1.352%) a22 = 184.45 +/- 0.9703 (0.526%) a23 = 35.4295 +/- 0.8128 (2.294%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 -0.005 1.000 a13 -0.613 -0.003 1.000 a21 -0.044 -0.059 0.103 1.000 a22 -0.043 -0.063 0.105 0.055 1.000 a23 0.098 0.129 -0.227 -0.392 -0.797 1.000 ******************************************************************************* Tue Jan 8 16:04:09 2008 FIT: data read from "002.hist" using 1:2:($2**0.5) #datapoints = 306 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1290.55 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.686479 initial set of free parameter values a11 = 3240 a12 = 357.715 a13 = 33.5762 a21 = 404.375 a22 = 184.45 a23 = 35.4295 After 4 iterations the fit converged. final sum of squares of residuals : 1028.9 rel. change during last iteration : -3.66785e-07 degrees of freedom (ndf) : 300 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.85193 variance of residuals (reduced chisquare) = WSSR/ndf : 3.42965 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 3235.59 +/- 14.55 (0.4497%) a12 = 357.671 +/- 0.123 (0.0344%) a13 = 33.6443 +/- 0.09779 (0.2907%) a21 = 405.108 +/- 5.811 (1.434%) a22 = 188.15 +/- 0.4769 (0.2535%) a23 = 32.4322 +/- 0.4958 (1.529%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 -0.012 1.000 a13 -0.612 0.016 1.000 a21 -0.042 -0.052 0.096 1.000 a22 0.012 0.007 -0.022 0.143 1.000 a23 0.080 0.094 -0.178 -0.646 -0.392 1.000 ******************************************************************************* Tue Jan 8 16:10:01 2008 FIT: data read from "003.hist" using 1:2:($2**0.5) #datapoints = 231 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 816848 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1.41621 initial set of free parameter values a11 = 4500 a12 = 280 a13 = 46 a21 = 600 a22 = 170 a23 = 20 After 7 iterations the fit converged. final sum of squares of residuals : 840.073 rel. change during last iteration : -2.60677e-06 degrees of freedom (ndf) : 225 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.93227 variance of residuals (reduced chisquare) = WSSR/ndf : 3.73366 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 4165.7 +/- 19.48 (0.4677%) a12 = 272.841 +/- 0.1001 (0.03669%) a13 = 26.1817 +/- 0.07915 (0.3023%) a21 = 502.462 +/- 7.443 (1.481%) a22 = 139.179 +/- 0.8239 (0.592%) a23 = 27.5284 +/- 0.6961 (2.529%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.006 1.000 a13 -0.608 -0.028 1.000 a21 -0.044 -0.064 0.106 1.000 a22 -0.041 -0.067 0.104 0.061 1.000 a23 0.099 0.141 -0.235 -0.398 -0.792 1.000 ******************************************************************************* Tue Jan 8 16:10:37 2008 FIT: data read from "003.hist" using 1:2:($2**0.5) #datapoints = 251 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 1251.06 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 0.989525 initial set of free parameter values a11 = 4165.7 a12 = 272.841 a13 = 26.1817 a21 = 502.462 a22 = 139.179 a23 = 27.5284 After 4 iterations the fit converged. final sum of squares of residuals : 932.294 rel. change during last iteration : -1.47861e-07 degrees of freedom (ndf) : 245 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.95071 variance of residuals (reduced chisquare) = WSSR/ndf : 3.80528 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 4160.64 +/- 19.59 (0.4707%) a12 = 272.807 +/- 0.1004 (0.0368%) a13 = 26.2298 +/- 0.07853 (0.2994%) a21 = 506.115 +/- 7.574 (1.497%) a22 = 141.613 +/- 0.3449 (0.2436%) a23 = 25.4408 +/- 0.355 (1.395%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 -0.002 1.000 a13 -0.607 -0.006 1.000 a21 -0.037 -0.051 0.088 1.000 a22 0.033 0.036 -0.072 0.061 1.000 a23 0.077 0.099 -0.178 -0.656 -0.163 1.000 ******************************************************************************* Tue Jan 8 16:13:09 2008 FIT: data read from "004.hist" using 1:2:($2**0.5) #datapoints = 231 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 93018.2 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1.99771 initial set of free parameter values a11 = 5500 a12 = 210 a13 = 25 a21 = 600 a22 = 100 a23 = 20 After 7 iterations the fit converged. final sum of squares of residuals : 1055.14 rel. change during last iteration : -9.70488e-06 degrees of freedom (ndf) : 225 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 2.16553 variance of residuals (reduced chisquare) = WSSR/ndf : 4.6895 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 5224.87 +/- 27.34 (0.5233%) a12 = 204.419 +/- 0.09153 (0.04477%) a13 = 20.9067 +/- 0.07216 (0.3451%) a21 = 472.599 +/- 61.43 (13%) a22 = 114.827 +/- 4.547 (3.96%) a23 = 15.9999 +/- 2.212 (13.83%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.053 1.000 a13 -0.604 -0.137 1.000 a21 0.080 0.158 -0.211 1.000 a22 -0.103 -0.198 0.268 -0.952 1.000 a23 0.131 0.239 -0.332 0.872 -0.971 1.000 ******************************************************************************* Tue Jan 8 16:13:58 2008 FIT: data read from "004.hist" using 1:2:($2**0.5) #datapoints = 191 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 6408.95 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1.43187 initial set of free parameter values a11 = 5224.87 a12 = 204.419 a13 = 20.9067 a21 = 472.599 a22 = 114.827 a23 = 15.9999 After 5 iterations the fit converged. final sum of squares of residuals : 592.72 rel. change during last iteration : -1.96489e-07 degrees of freedom (ndf) : 185 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 1.78994 variance of residuals (reduced chisquare) = WSSR/ndf : 3.20389 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 5242.79 +/- 22.59 (0.4309%) a12 = 204.433 +/- 0.07396 (0.03618%) a13 = 20.8059 +/- 0.05761 (0.2769%) a21 = 626.723 +/- 8.769 (1.399%) a22 = 104.054 +/- 0.355 (0.3411%) a23 = 20.8757 +/- 0.3704 (1.774%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.021 1.000 a13 -0.602 -0.063 1.000 a21 -0.050 -0.085 0.128 1.000 a22 0.005 -0.005 -0.003 0.188 1.000 a23 0.100 0.160 -0.248 -0.621 -0.508 1.000 ******************************************************************************* Tue Jan 8 16:17:02 2008 FIT: data read from "005.hist" using 1:2:($2**0.5) #datapoints = 191 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 48498.8 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 2.38086 initial set of free parameter values a11 = 6500 a12 = 160 a13 = 20 a21 = 800 a22 = 75 a23 = 20 After 7 iterations the fit converged. final sum of squares of residuals : 1091.75 rel. change during last iteration : -1.20245e-06 degrees of freedom (ndf) : 185 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 2.42927 variance of residuals (reduced chisquare) = WSSR/ndf : 5.90133 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 6201.3 +/- 36.12 (0.5825%) a12 = 156.688 +/- 0.08549 (0.05456%) a13 = 17.4958 +/- 0.06518 (0.3726%) a21 = 717.696 +/- 18.2 (2.536%) a22 = 85.3672 +/- 0.8527 (0.9988%) a23 = 12.097 +/- 0.6636 (5.486%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.054 1.000 a13 -0.594 -0.131 1.000 a21 -0.024 -0.046 0.063 1.000 a22 -0.053 -0.111 0.146 -0.213 1.000 a23 0.112 0.204 -0.286 -0.091 -0.858 1.000 ******************************************************************************* Tue Jan 8 16:17:26 2008 FIT: data read from "005.hist" using 1:2:($2**0.5) #datapoints = 141 function used for fitting: f(x)+g(x) fitted parameters initialized with current variable values Iteration 0 WSSR : 4062.66 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1.91791 initial set of free parameter values a11 = 6201.3 a12 = 156.688 a13 = 17.4958 a21 = 717.696 a22 = 85.3672 a23 = 12.097 After 5 iterations the fit converged. final sum of squares of residuals : 895.188 rel. change during last iteration : -7.06567e-06 degrees of freedom (ndf) : 135 rms of residuals (stdfit) = sqrt(WSSR/ndf) : 2.57508 variance of residuals (reduced chisquare) = WSSR/ndf : 6.63102 Final set of parameters Asymptotic Standard Error ======================= ========================== a11 = 6231.41 +/- 39.34 (0.6313%) a12 = 156.76 +/- 0.09282 (0.05921%) a13 = 17.3585 +/- 0.07663 (0.4415%) a21 = 747.031 +/- 15.41 (2.062%) a22 = 78.4238 +/- 0.4641 (0.5918%) a23 = 17.0034 +/- 0.5034 (2.961%) correlation matrix of the fit parameters: a11 a12 a13 a21 a22 a23 a11 1.000 a12 0.019 1.000 a13 -0.610 -0.060 1.000 a21 -0.060 -0.106 0.155 1.000 a22 0.011 -0.005 -0.011 0.199 1.000 a23 0.130 0.206 -0.318 -0.612 -0.518 1.000