*******************************************************************************
Tue Apr  6 23:57:34 2021


FIT:    data read from "out.times.txt"
        format = z
        #datapoints = 13
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=s+(x/N)**3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   s             N            
   0 1.0508327950e+05   0.00e+00  1.92e+02    1.000000e-01   5.000000e+01
  10 6.0839599297e-03  -1.93e-04  1.92e-08    1.810151e-01   2.364319e+02

After 10 iterations the fit converged.
final sum of squares of residuals : 0.00608396
rel. change during last iteration : -1.92676e-09

degrees of freedom    (FIT_NDF)                        : 11
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0235178
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000553087

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
s               = 0.181015         +/- 0.01451      (8.016%)
N               = 236.432          +/- 1.334        (0.5641%)

correlation matrix of the fit parameters:
                s      N      
s               1.000 
N               0.893  1.000 


*******************************************************************************
Wed Apr  7 00:00:43 2021


FIT:    data read from "out.times.txt"
        format = z
        #datapoints = 13
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=s+(x/N)**3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   s             N            
   0 1.0508327950e+05   0.00e+00  1.92e+02    1.000000e-01   5.000000e+01
  10 6.0839599297e-03  -1.93e-04  1.92e-08    1.810151e-01   2.364319e+02

After 10 iterations the fit converged.
final sum of squares of residuals : 0.00608396
rel. change during last iteration : -1.92676e-09

degrees of freedom    (FIT_NDF)                        : 11
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0235178
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000553087

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
s               = 0.181015         +/- 0.01451      (8.016%)
N               = 236.432          +/- 1.334        (0.5641%)

correlation matrix of the fit parameters:
                s      N      
s               1.000 
N               0.893  1.000 


*******************************************************************************
Mon Apr 12 20:31:14 2021


FIT:    data read from "out.times.txt"
        format = z
        #datapoints = 13
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
	f(x)=s+(x/N)**3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   s             N            
   0 1.0508070086e+05   0.00e+00  1.92e+02    1.000000e-01   5.000000e+01
  10 7.3714630168e-03  -1.51e-04  1.92e-08    1.761398e-01   2.359334e+02

After 10 iterations the fit converged.
final sum of squares of residuals : 0.00737146
rel. change during last iteration : -1.51445e-09

degrees of freedom    (FIT_NDF)                        : 11
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0258869
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000670133

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
s               = 0.17614          +/- 0.01597      (9.068%)
N               = 235.933          +/- 1.456        (0.617%)

correlation matrix of the fit parameters:
                s      N      
s               1.000 
N               0.893  1.000