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fit.log
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*******************************************************************************
Tue Jun 14 10:48:53 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01
After 8 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -6.57892e-08
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:48:53 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 1.3527679839e+00 0.00e+00 2.39e+02 1.850580e-02 9.932177e-01
1 1.3527679839e+00 -3.46e-09 2.39e+04 1.850580e-02 9.932177e-01
After 1 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -3.46337e-14
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:49:42 2022
FIT: data read from "results/Twopointdata.csv"
format = z
#datapoints = 16
residuals are weighted equally (unit weight)
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
BREAK: Need via and either parameter list or file
*******************************************************************************
Tue Jun 14 10:49:56 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01
After 8 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -6.57892e-08
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:49:56 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 1.3527679839e+00 0.00e+00 2.39e+02 1.850580e-02 9.932177e-01
1 1.3527679839e+00 -3.46e-09 2.39e+04 1.850580e-02 9.932177e-01
After 1 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -3.46337e-14
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:50:04 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01
After 8 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -6.57892e-08
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:50:04 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 1.3527679839e+00 0.00e+00 2.39e+02 1.850580e-02 9.932177e-01
1 1.3527679839e+00 -3.46e-09 2.39e+04 1.850580e-02 9.932177e-01
After 1 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -3.46337e-14
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:50:21 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01
After 8 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -6.57892e-08
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:50:27 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01
After 8 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -6.57892e-08
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:50:35 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
fitted parameters initialized with current variable values
*******************************************************************************
Tue Jun 14 10:50:47 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
fitted parameters initialized with current variable values
*******************************************************************************
Tue Jun 14 10:50:53 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01
After 8 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -6.57892e-08
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:51:20 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01
After 8 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -6.57892e-08
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:51:24 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01
After 8 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -6.57892e-08
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:51:24 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 1.3527679839e+00 0.00e+00 2.39e+02 1.850580e-02 9.932177e-01
1 1.3527679839e+00 -3.46e-09 2.39e+04 1.850580e-02 9.932177e-01
After 1 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -3.46337e-14
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:51:32 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01
After 8 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -6.57892e-08
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:51:32 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 1.3527679839e+00 0.00e+00 2.39e+02 1.850580e-02 9.932177e-01
1 1.3527679839e+00 -3.46e-09 2.39e+04 1.850580e-02 9.932177e-01
After 1 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -3.46337e-14
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:51:36 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01
After 8 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -6.57892e-08
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:51:44 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01
After 8 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -6.57892e-08
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:51:44 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 1.3527679839e+00 0.00e+00 2.39e+02 1.850580e-02 9.932177e-01
1 1.3527679839e+00 -3.46e-09 2.39e+04 1.850580e-02 9.932177e-01
After 1 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -3.46337e-14
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:51:48 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
fitted parameters initialized with current variable values
*******************************************************************************
Tue Jun 14 10:52:13 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
fitted parameters initialized with current variable values
*******************************************************************************
Tue Jun 14 10:52:19 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f
fitted parameters initialized with current variable values
*******************************************************************************
Tue Jun 14 10:52:37 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01
After 8 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -6.57892e-08
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:52:37 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 1.3527679839e+00 0.00e+00 2.39e+02 1.850580e-02 9.932177e-01
1 1.3527679839e+00 -3.46e-09 2.39e+04 1.850580e-02 9.932177e-01
After 1 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -3.46337e-14
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:54:09 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01
After 8 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -6.57892e-08
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:54:09 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 1.3527679839e+00 0.00e+00 2.39e+02 1.850580e-02 9.932177e-01
1 1.3527679839e+00 -3.46e-09 2.39e+04 1.850580e-02 9.932177e-01
After 1 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -3.46337e-14
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:55:04 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01
After 8 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -6.57892e-08
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:58:45 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01
After 8 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -6.57892e-08
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:58:45 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 1.3527679839e+00 0.00e+00 2.39e+02 1.850580e-02 9.932177e-01
1 1.3527679839e+00 -3.46e-09 2.39e+04 1.850580e-02 9.932177e-01
After 1 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -3.46337e-14
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:59:10 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01
After 8 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -6.57892e-08
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:59:10 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 1.3527679839e+00 0.00e+00 2.39e+02 1.850580e-02 9.932177e-01
1 1.3527679839e+00 -3.46e-09 2.39e+04 1.850580e-02 9.932177e-01
After 1 iterations the fit converged.
final sum of squares of residuals : 1.35277
rel. change during last iteration : -3.46337e-14
degrees of freedom (FIT_NDF) : 14
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.310848
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0966263
p-value of the Chisq distribution (FIT_P) : 0.999993
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = 0.0185058 +/- 8.909e-05 (0.4814%)
b = 0.993218 +/- 0.001366 (0.1375%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.985 1.000
*******************************************************************************
Tue Jun 14 10:59:24 2022
FIT: data read from "results/Twopointdata.csv" u 1:2:3
format = x:z:s
#datapoints = 16
function used for fitting: f(x)
f(x)=a*cosh(b*(x-4))
fitted parameters initialized with current variable values
iter chisq delta/lim lambda a b
0 4.0794416217e+08 0.00e+00 1.33e+04 1.000000e+00 1.000000e+00
8 1.3527679839e+00 -6.58e-03 1.33e-03 1.850580e-02 9.932177e-01