*******************************************************************************
Tue Apr 13 17:58:31 2021


FIT:    data read from "out.times.txt"
        format = z
        #datapoints = 11
        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 2.6084020460e+03   0.00e+00  3.30e+01    1.000000e-01   1.000000e+02
   9 2.7368410456e-03  -4.10e-05  3.30e-08   -9.674470e-03   3.848646e+02

After 9 iterations the fit converged.
final sum of squares of residuals : 0.00273684
rel. change during last iteration : -4.10478e-10

degrees of freedom    (FIT_NDF)                        : 9
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0174383
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000304093

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
s               = -0.00967447      +/- 0.01473      (152.3%)
N               = 384.865          +/- 6.933        (1.801%)

correlation matrix of the fit parameters:
                s      N      
s               1.000 
N               0.934  1.000 


*******************************************************************************
Tue Apr 13 18:48:48 2021


FIT:    data read from "out.times.txt"
        format = z
        #datapoints = 11
        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 2.6077469060e+03   0.00e+00  3.30e+01    1.000000e-01   1.000000e+02
   9 2.9169984775e-03  -2.07e-05  3.30e-08   -2.404792e-03   3.871762e+02

After 9 iterations the fit converged.
final sum of squares of residuals : 0.002917
rel. change during last iteration : -2.07104e-10

degrees of freedom    (FIT_NDF)                        : 9
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0180031
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000324111

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
s               = -0.00240479      +/- 0.01521      (632.4%)
N               = 387.176          +/- 7.331        (1.893%)

correlation matrix of the fit parameters:
                s      N      
s               1.000 
N               0.934  1.000 


*******************************************************************************
Tue Apr 13 18:49:05 2021


FIT:    data read from "out.times.txt"
        format = z
        #datapoints = 11
        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 2.6062763860e+03   0.00e+00  3.30e+01    1.000000e-01   1.000000e+02
   9 3.9011959263e-03  -4.62e-05  3.30e-08   -1.292327e-02   3.805852e+02

After 9 iterations the fit converged.
final sum of squares of residuals : 0.0039012
rel. change during last iteration : -4.61516e-10

degrees of freedom    (FIT_NDF)                        : 9
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0208199
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000433466

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
s               = -0.0129233       +/- 0.01759      (136.1%)
N               = 380.585          +/- 7.915        (2.08%)

correlation matrix of the fit parameters:
                s      N      
s               1.000 
N               0.934  1.000