******************************************************************************* Thu Apr 7 16:44:32 2022 FIT: data read from "Out.data.txt" format = z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(n) f(n) = a/n^0.5 fitted parameters initialized with current variable values ******************************************************************************* Thu Apr 7 16:44:42 2022 FIT: data read from "Out.data.txt" format = z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(n) f(n) = a/n^0.5 fitted parameters initialized with current variable values ******************************************************************************* Thu Apr 7 16:44:56 2022 FIT: data read from "Out.data.txt" format = z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(n) = a/n^0.5 fitted parameters initialized with current variable values ******************************************************************************* Thu Apr 7 16:45:16 2022 FIT: data read from "Out.data.txt" format = z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(n) = a/sqrt(n) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.9660067113e+01 0.00e+00 2.12e-02 1.000000e+00 3 8.4033895476e+00 -3.89e-06 2.12e-05 3.173936e+01 After 3 iterations the fit converged. final sum of squares of residuals : 8.40339 rel. change during last iteration : -3.88857e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.414123 variance of residuals (reduced chisquare) = WSSR/ndf : 0.171498 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 31.7394 +/- 2.761 (8.699%) ******************************************************************************* Thu Apr 7 16:45:41 2022 FIT: data read from "Out.data.txt" format = z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(n) = a/sqrt(n) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 2.9660067113e+01 0.00e+00 2.12e-02 1.000000e+00 3 8.4033895476e+00 -3.89e-06 2.12e-05 3.173936e+01 After 3 iterations the fit converged. final sum of squares of residuals : 8.40339 rel. change during last iteration : -3.88857e-11 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.414123 variance of residuals (reduced chisquare) = WSSR/ndf : 0.171498 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 31.7394 +/- 2.761 (8.699%) ******************************************************************************* Thu Apr 7 16:46:10 2022 FIT: data read from "Out.data.txt" using 1:4 format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(n) = a/sqrt(n) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 9.3799414402e-03 0.00e+00 2.12e-02 1.000000e+00 3 9.5682746381e-04 -1.35e-05 2.12e-05 3.880958e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.000956827 rel. change during last iteration : -1.35327e-10 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00441895 variance of residuals (reduced chisquare) = WSSR/ndf : 1.95271e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.388096 +/- 0.02946 (7.591%) ******************************************************************************* Thu Apr 7 16:46:50 2022 FIT: data read from "Out.data.txt" using 1:4 format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(n) = a/sqrt(n) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 9.3799414402e-03 0.00e+00 2.12e-02 1.000000e+00 3 9.5682746381e-04 -1.35e-05 2.12e-05 3.880958e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.000956827 rel. change during last iteration : -1.35327e-10 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00441895 variance of residuals (reduced chisquare) = WSSR/ndf : 1.95271e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.388096 +/- 0.02946 (7.591%) ******************************************************************************* Thu Apr 7 16:47:24 2022 FIT: data read from "Out.data.txt" using 1:4 format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(n) = a/sqrt(n) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 9.3799414402e-03 0.00e+00 2.12e-02 1.000000e+00 3 9.5682746381e-04 -1.35e-05 2.12e-05 3.880958e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.000956827 rel. change during last iteration : -1.35327e-10 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00441895 variance of residuals (reduced chisquare) = WSSR/ndf : 1.95271e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.388096 +/- 0.02946 (7.591%) ******************************************************************************* Thu Apr 7 16:51:29 2022 FIT: data read from "Out.data.txt" using 1:4 format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(n) = a/sqrt(n) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 9.3799414402e-03 0.00e+00 2.12e-02 1.000000e+00 3 9.5682746381e-04 -1.35e-05 2.12e-05 3.880958e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.000956827 rel. change during last iteration : -1.35327e-10 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00441895 variance of residuals (reduced chisquare) = WSSR/ndf : 1.95271e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.388096 +/- 0.02946 (7.591%) ******************************************************************************* Thu Apr 7 16:52:25 2022 FIT: data read from "Out.data.txt" using 1:4 format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(n) = a/sqrt(n) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 9.3799414402e-03 0.00e+00 2.12e-02 1.000000e+00 3 9.5682746381e-04 -1.35e-05 2.12e-05 3.880958e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.000956827 rel. change during last iteration : -1.35327e-10 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00441895 variance of residuals (reduced chisquare) = WSSR/ndf : 1.95271e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.388096 +/- 0.02946 (7.591%) ******************************************************************************* Thu Apr 7 17:07:41 2022 FIT: data read from "Out.data.txt" using 1:4 format = x:z #datapoints = 50 residuals are weighted equally (unit weight) function used for fitting: f(x) f(n) = a/sqrt(n) fitted parameters initialized with current variable values iter chisq delta/lim lambda a 0 9.3799414402e-03 0.00e+00 2.12e-02 1.000000e+00 3 9.5682746381e-04 -1.35e-05 2.12e-05 3.880958e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.000956827 rel. change during last iteration : -1.35327e-10 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00441895 variance of residuals (reduced chisquare) = WSSR/ndf : 1.95271e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.388096 +/- 0.02946 (7.591%)