*******************************************************************************Sun Aug 9 17:00:25 2009FIT: data read from "obstacle_738.dat" u 1:($6) x range restricted to [260.000 : *] #datapoints = 942 residuals are weighted equally (unit weight)function used for fitting: f(x)fitted parameters initialized with current variable values Iteration 0 WSSR : 1545.14 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1initial set of free parameter valuespx = 1After 3 iterations the fit converged.final sum of squares of residuals : 133.907rel. change during last iteration : -8.48996e-16degrees of freedom (FIT_NDF) : 941rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.377231variance of residuals (reduced chisquare) = WSSR/ndf : 0.142303Final set of parameters Asymptotic Standard Error======================= ==========================px = -0.223981 +/- 0.01229 (5.487%)correlation matrix of the fit parameters: px px 1.000 *******************************************************************************Sun Aug 9 17:00:26 2009FIT: data read from "obstacle_738.dat" u 1:($5) x range restricted to [260.000 : *] #datapoints = 942 residuals are weighted equally (unit weight)function used for fitting: g(x)fitted parameters initialized with current variable values Iteration 0 WSSR : 5214.57 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1initial set of free parameter valuestx = 1After 2 iterations the fit converged.final sum of squares of residuals : 645.576rel. change during last iteration : -7.95885e-06degrees of freedom (FIT_NDF) : 941rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.828283variance of residuals (reduced chisquare) = WSSR/ndf : 0.686053Final set of parameters Asymptotic Standard Error======================= ==========================tx = 3.20234 +/- 0.02699 (0.8427%)correlation matrix of the fit parameters: tx tx 1.000 *******************************************************************************Sun Aug 9 17:00:26 2009FIT: data read from "obstacle_738.dat" u 1:($7) x range restricted to [260.000 : *] #datapoints = 942 residuals are weighted equally (unit weight)function used for fitting: l(x)fitted parameters initialized with current variable values Iteration 0 WSSR : 1635.32 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1initial set of free parameter valuesty = 1After 2 iterations the fit converged.final sum of squares of residuals : 221.403rel. change during last iteration : -7.18152e-06degrees of freedom (FIT_NDF) : 941rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.485061variance of residuals (reduced chisquare) = WSSR/ndf : 0.235284Final set of parameters Asymptotic Standard Error======================= ==========================ty = -0.22514 +/- 0.0158 (7.02%)correlation matrix of the fit parameters: ty ty 1.000 *******************************************************************************Sun Aug 9 17:00:26 2009FIT: data read from "obstacle_738.dat" u 1:($8) x range restricted to [260.000 : *] #datapoints = 942 residuals are weighted equally (unit weight)function used for fitting: m(x)fitted parameters initialized with current variable values Iteration 0 WSSR : 11971.1 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1initial set of free parameter valuespy = 1After 3 iterations the fit converged.final sum of squares of residuals : 387.121rel. change during last iteration : -3.37724e-15degrees of freedom (FIT_NDF) : 941rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.641399variance of residuals (reduced chisquare) = WSSR/ndf : 0.411393Final set of parameters Asymptotic Standard Error======================= ==========================py = -2.50673 +/- 0.0209 (0.8337%)correlation matrix of the fit parameters: py py 1.000 *******************************************************************************Sun Aug 9 17:00:26 2009FIT: data read from "obstacle_738.dat" u 1:($7+$8) x range restricted to [260.000 : *] #datapoints = 942 residuals are weighted equally (unit weight)function used for fitting: f(x)fitted parameters initialized with current variable values Iteration 0 WSSR : 13448 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1initial set of free parameter valuesa = 1After 3 iterations the fit converged.final sum of squares of residuals : 328.89rel. change during last iteration : -4.32085e-15degrees of freedom (FIT_NDF) : 941rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.591195variance of residuals (reduced chisquare) = WSSR/ndf : 0.349511Final set of parameters Asymptotic Standard Error======================= ==========================a = -2.73187 +/- 0.01926 (0.7051%)correlation matrix of the fit parameters: a a 1.000 *******************************************************************************Sun Aug 9 17:01:46 2009FIT: data read from "obstacle_738.dat" u 1:($6) x range restricted to [260.000 : *] #datapoints = 942 residuals are weighted equally (unit weight)function used for fitting: f(x)fitted parameters initialized with current variable values Iteration 0 WSSR : 1545.14 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1initial set of free parameter valuespx = 1After 3 iterations the fit converged.final sum of squares of residuals : 133.907rel. change during last iteration : -8.48996e-16degrees of freedom (FIT_NDF) : 941rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.377231variance of residuals (reduced chisquare) = WSSR/ndf : 0.142303Final set of parameters Asymptotic Standard Error======================= ==========================px = -0.223981 +/- 0.01229 (5.487%)correlation matrix of the fit parameters: px px 1.000 *******************************************************************************Sun Aug 9 17:01:46 2009FIT: data read from "obstacle_738.dat" u 1:($5) x range restricted to [260.000 : *] #datapoints = 942 residuals are weighted equally (unit weight)function used for fitting: g(x)fitted parameters initialized with current variable values Iteration 0 WSSR : 5214.57 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1initial set of free parameter valuestx = 1After 2 iterations the fit converged.final sum of squares of residuals : 645.576rel. change during last iteration : -7.95885e-06degrees of freedom (FIT_NDF) : 941rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.828283variance of residuals (reduced chisquare) = WSSR/ndf : 0.686053Final set of parameters Asymptotic Standard Error======================= ==========================tx = 3.20234 +/- 0.02699 (0.8427%)correlation matrix of the fit parameters: tx tx 1.000 *******************************************************************************Sun Aug 9 17:01:46 2009FIT: data read from "obstacle_738.dat" u 1:($7) x range restricted to [260.000 : *] #datapoints = 942 residuals are weighted equally (unit weight)function used for fitting: l(x)fitted parameters initialized with current variable values Iteration 0 WSSR : 1635.32 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1initial set of free parameter valuesty = 1After 2 iterations the fit converged.final sum of squares of residuals : 221.403rel. change during last iteration : -7.18152e-06degrees of freedom (FIT_NDF) : 941rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.485061variance of residuals (reduced chisquare) = WSSR/ndf : 0.235284Final set of parameters Asymptotic Standard Error======================= ==========================ty = -0.22514 +/- 0.0158 (7.02%)correlation matrix of the fit parameters: ty ty 1.000 *******************************************************************************Sun Aug 9 17:01:46 2009FIT: data read from "obstacle_738.dat" u 1:($8) x range restricted to [260.000 : *] #datapoints = 942 residuals are weighted equally (unit weight)function used for fitting: m(x)fitted parameters initialized with current variable values Iteration 0 WSSR : 11971.1 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1initial set of free parameter valuespy = 1After 3 iterations the fit converged.final sum of squares of residuals : 387.121rel. change during last iteration : -3.37724e-15degrees of freedom (FIT_NDF) : 941rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.641399variance of residuals (reduced chisquare) = WSSR/ndf : 0.411393Final set of parameters Asymptotic Standard Error======================= ==========================py = -2.50673 +/- 0.0209 (0.8337%)correlation matrix of the fit parameters: py py 1.000 *******************************************************************************Sun Aug 9 17:01:46 2009FIT: data read from "obstacle_738.dat" u 1:($7+$8) x range restricted to [260.000 : *] #datapoints = 942 residuals are weighted equally (unit weight)function used for fitting: f(x)fitted parameters initialized with current variable values Iteration 0 WSSR : 13448 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1initial set of free parameter valuesa = 1After 3 iterations the fit converged.final sum of squares of residuals : 328.89rel. change during last iteration : -4.32085e-15degrees of freedom (FIT_NDF) : 941rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.591195variance of residuals (reduced chisquare) = WSSR/ndf : 0.349511Final set of parameters Asymptotic Standard Error======================= ==========================a = -2.73187 +/- 0.01926 (0.7051%)correlation matrix of the fit parameters: a a 1.000 *******************************************************************************Sun Aug 9 17:02:49 2009FIT: data read from "obstacle_738.dat" u 1:($6) x range restricted to [260.000 : *] #datapoints = 942 residuals are weighted equally (unit weight)function used for fitting: f(x)fitted parameters initialized with current variable values Iteration 0 WSSR : 1545.14 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1initial set of free parameter valuespx = 1After 3 iterations the fit converged.final sum of squares of residuals : 133.907rel. change during last iteration : -8.48996e-16degrees of freedom (FIT_NDF) : 941rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.377231variance of residuals (reduced chisquare) = WSSR/ndf : 0.142303Final set of parameters Asymptotic Standard Error======================= ==========================px = -0.223981 +/- 0.01229 (5.487%)correlation matrix of the fit parameters: px px 1.000 *******************************************************************************Sun Aug 9 17:02:50 2009FIT: data read from "obstacle_738.dat" u 1:($5) x range restricted to [260.000 : *] #datapoints = 942 residuals are weighted equally (unit weight)function used for fitting: g(x)fitted parameters initialized with current variable values Iteration 0 WSSR : 5214.57 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1initial set of free parameter valuestx = 1After 2 iterations the fit converged.final sum of squares of residuals : 645.576rel. change during last iteration : -7.95885e-06degrees of freedom (FIT_NDF) : 941rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.828283variance of residuals (reduced chisquare) = WSSR/ndf : 0.686053Final set of parameters Asymptotic Standard Error======================= ==========================tx = 3.20234 +/- 0.02699 (0.8427%)correlation matrix of the fit parameters: tx tx 1.000 *******************************************************************************Sun Aug 9 17:02:50 2009FIT: data read from "obstacle_738.dat" u 1:($7) x range restricted to [260.000 : *] #datapoints = 942 residuals are weighted equally (unit weight)function used for fitting: l(x)fitted parameters initialized with current variable values Iteration 0 WSSR : 1635.32 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1initial set of free parameter valuesty = 1After 2 iterations the fit converged.final sum of squares of residuals : 221.403rel. change during last iteration : -7.18152e-06degrees of freedom (FIT_NDF) : 941rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.485061variance of residuals (reduced chisquare) = WSSR/ndf : 0.235284Final set of parameters Asymptotic Standard Error======================= ==========================ty = -0.22514 +/- 0.0158 (7.02%)correlation matrix of the fit parameters: ty ty 1.000 *******************************************************************************Sun Aug 9 17:02:50 2009FIT: data read from "obstacle_738.dat" u 1:($8) x range restricted to [260.000 : *] #datapoints = 942 residuals are weighted equally (unit weight)function used for fitting: m(x)fitted parameters initialized with current variable values Iteration 0 WSSR : 11971.1 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1initial set of free parameter valuespy = 1After 3 iterations the fit converged.final sum of squares of residuals : 387.121rel. change during last iteration : -3.37724e-15degrees of freedom (FIT_NDF) : 941rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.641399variance of residuals (reduced chisquare) = WSSR/ndf : 0.411393Final set of parameters Asymptotic Standard Error======================= ==========================py = -2.50673 +/- 0.0209 (0.8337%)correlation matrix of the fit parameters: py py 1.000 *******************************************************************************Sun Aug 9 17:02:50 2009FIT: data read from "obstacle_738.dat" u 1:($7+$8) x range restricted to [260.000 : *] #datapoints = 942 residuals are weighted equally (unit weight)function used for fitting: f(x)fitted parameters initialized with current variable values Iteration 0 WSSR : 13448 delta(WSSR)/WSSR : 0 delta(WSSR) : 0 limit for stopping : 1e-05 lambda : 1initial set of free parameter valuesa = 1After 3 iterations the fit converged.final sum of squares of residuals : 328.89rel. change during last iteration : -4.32085e-15degrees of freedom (FIT_NDF) : 941rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.591195variance of residuals (reduced chisquare) = WSSR/ndf : 0.349511Final set of parameters Asymptotic Standard Error======================= ==========================a = -2.73187 +/- 0.01926 (0.7051%)correlation matrix of the fit parameters: a a 1.000