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ALF
ALF_Tutorial_and_Presentations
Commits
2b0e1f65
Commit
2b0e1f65
authored
Feb 18, 2018
by
Fakher F. Assaad
Browse files
Cleaning up
parent
1bd05797
Changes
5
Hide whitespace changes
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Tutorial/Solutions/Exercise_1/Mz_Beta2/Ener.scal
deleted
100644 → 0
View file @
1bd05797
==> Dtau_0.05/Ener_scalJ <==
Effective number of bins, and bins: 137 139
OBS : 1 -1.485090 0.001859
OBS : 2 1.000000 0.000000
==> Dtau_0.1/Ener_scalJ <==
Effective number of bins, and bins: 286 288
OBS : 1 -1.524258 0.001405
OBS : 2 1.000000 0.000000
==> Dtau_0.125/Ener_scalJ <==
Effective number of bins, and bins: 337 339
OBS : 1 -1.551056 0.001239
OBS : 2 1.000000 0.000000
Tutorial/Solutions/Exercise_1/Mz_Beta2/Ener_B2.eps
View file @
2b0e1f65
%!PS-Adobe-2.0 EPSF-2.0
%%Title: Ener_B2.eps
%%Creator: gnuplot 4.6 patchlevel 3
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Feb
1 05:48:43
2018
%%CreationDate:
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18 07:23:15
2018
%%DocumentFonts: (atend)
%%BoundingBox: 50 50 338 251
%%EndComments
...
...
@@ -461,7 +461,7 @@ SDict begin [
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% /Producer (gnuplot)
% /Keywords ()
/CreationDate
(
Thu
Feb
1 05:48:43
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/CreationDate
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Sun
Feb
18 07:23:15
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/DOCINFO
pdfmark
end
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ifelse
...
...
Tutorial/Solutions/Exercise_1/Mz_Beta2/Ener_B2.pdf
View file @
2b0e1f65
No preview for this file type
Tutorial/Solutions/Exercise_1/Mz_Beta2/fit.log
deleted
100644 → 0
View file @
1bd05797
*******************************************************************************
Mon Jan 29 09:16:21 2018
FIT: data read from "Ener.dat" u (($1)*($1)):2:3
format = x:z:s
#datapoints = 3
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 9.33551e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 491.183
initial set of free parameter values
a = 1
b = 1
After 6 iterations the fit converged.
final sum of squares of residuals : 0.697788
rel. change during last iteration : -6.19392e-11
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.835337
variance of residuals (reduced chisquare) = WSSR/ndf : 0.697788
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -1.47328 +/- 0.001698 (0.1153%)
b = -5.00419 +/- 0.1405 (2.808%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.913 1.000
*******************************************************************************
Mon Jan 29 10:23:40 2018
FIT: data read from "Ener.dat" u ($1*$1):2:3
format = x:z:s
#datapoints = 3
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 9.33551e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 491.183
initial set of free parameter values
a = 1
b = 1
After 6 iterations the fit converged.
final sum of squares of residuals : 0.697788
rel. change during last iteration : -6.19392e-11
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.835337
variance of residuals (reduced chisquare) = WSSR/ndf : 0.697788
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -1.47328 +/- 0.001698 (0.1153%)
b = -5.00419 +/- 0.1405 (2.808%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.913 1.000
*******************************************************************************
Mon Jan 29 10:24:19 2018
FIT: data read from "Ener.dat" u ($1*$1):2:3
format = x:z:s
#datapoints = 3
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 9.33551e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 491.183
initial set of free parameter values
a = 1
b = 1
After 6 iterations the fit converged.
final sum of squares of residuals : 0.697788
rel. change during last iteration : -6.19392e-11
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.835337
variance of residuals (reduced chisquare) = WSSR/ndf : 0.697788
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -1.47328 +/- 0.001698 (0.1153%)
b = -5.00419 +/- 0.1405 (2.808%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.913 1.000
*******************************************************************************
Mon Jan 29 10:25:09 2018
FIT: data read from "Ener.dat" u ($1*$1):2:3
format = x:z:s
#datapoints = 3
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 9.33551e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 491.183
initial set of free parameter values
a = 1
b = 1
After 6 iterations the fit converged.
final sum of squares of residuals : 0.697788
rel. change during last iteration : -6.19392e-11
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.835337
variance of residuals (reduced chisquare) = WSSR/ndf : 0.697788
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -1.47328 +/- 0.001698 (0.1153%)
b = -5.00419 +/- 0.1405 (2.808%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.913 1.000
*******************************************************************************
Mon Jan 29 10:25:36 2018
FIT: data read from "Ener.dat" u ($1*$1):2:3
format = x:z:s
#datapoints = 3
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 9.33551e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 491.183
initial set of free parameter values
a = 1
b = 1
After 6 iterations the fit converged.
final sum of squares of residuals : 0.697788
rel. change during last iteration : -6.19392e-11
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.835337
variance of residuals (reduced chisquare) = WSSR/ndf : 0.697788
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -1.47328 +/- 0.001698 (0.1153%)
b = -5.00419 +/- 0.1405 (2.808%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.913 1.000
*******************************************************************************
Mon Jan 29 10:26:18 2018
FIT: data read from "Ener.dat" u ($1*$1):2:3
format = x:z:s
#datapoints = 3
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 9.33551e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 491.183
initial set of free parameter values
a = 1
b = 1
After 6 iterations the fit converged.
final sum of squares of residuals : 0.697788
rel. change during last iteration : -6.19392e-11
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.835337
variance of residuals (reduced chisquare) = WSSR/ndf : 0.697788
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -1.47328 +/- 0.001698 (0.1153%)
b = -5.00419 +/- 0.1405 (2.808%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.913 1.000
*******************************************************************************
Mon Jan 29 10:26:32 2018
FIT: data read from "Ener.dat" u ($1*$1):2:3
format = x:z:s
#datapoints = 3
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 9.33551e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 491.183
initial set of free parameter values
a = 1
b = 1
After 6 iterations the fit converged.
final sum of squares of residuals : 0.697788
rel. change during last iteration : -6.19392e-11
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.835337
variance of residuals (reduced chisquare) = WSSR/ndf : 0.697788
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -1.47328 +/- 0.001698 (0.1153%)
b = -5.00419 +/- 0.1405 (2.808%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.913 1.000
*******************************************************************************
Mon Jan 29 10:27:00 2018
FIT: data read from "Ener.dat" u ($1*$1):2:3
format = x:z:s
#datapoints = 3
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 9.33551e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 491.183
initial set of free parameter values
a = 1
b = 1
After 6 iterations the fit converged.
final sum of squares of residuals : 0.697788
rel. change during last iteration : -6.19392e-11
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.835337
variance of residuals (reduced chisquare) = WSSR/ndf : 0.697788
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -1.47328 +/- 0.001698 (0.1153%)
b = -5.00419 +/- 0.1405 (2.808%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.913 1.000
*******************************************************************************
Mon Jan 29 10:27:23 2018
FIT: data read from "Ener.dat" u ($1*$1):2:3
format = x:z:s
#datapoints = 3
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 9.33551e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 491.183
initial set of free parameter values
a = 1
b = 1
After 6 iterations the fit converged.
final sum of squares of residuals : 0.697788
rel. change during last iteration : -6.19392e-11
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.835337
variance of residuals (reduced chisquare) = WSSR/ndf : 0.697788
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -1.47328 +/- 0.001698 (0.1153%)
b = -5.00419 +/- 0.1405 (2.808%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.913 1.000
*******************************************************************************
Mon Jan 29 10:27:50 2018
FIT: data read from "Ener.dat" u ($1*$1):2:3
format = x:z:s
#datapoints = 3
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 9.33551e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 491.183
initial set of free parameter values
a = 1
b = 1
After 6 iterations the fit converged.
final sum of squares of residuals : 0.697788
rel. change during last iteration : -6.19392e-11
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.835337
variance of residuals (reduced chisquare) = WSSR/ndf : 0.697788
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -1.47328 +/- 0.001698 (0.1153%)
b = -5.00419 +/- 0.1405 (2.808%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.913 1.000
*******************************************************************************
Thu Feb 1 05:48:24 2018
FIT: data read from "Ener.dat" u ($1*$1):2:3
format = x:z:s
#datapoints = 3
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 9.33551e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 491.183
initial set of free parameter values
a = 1
b = 1
After 6 iterations the fit converged.
final sum of squares of residuals : 0.697788
rel. change during last iteration : -6.19392e-11
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.835337
variance of residuals (reduced chisquare) = WSSR/ndf : 0.697788
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -1.47328 +/- 0.001698 (0.1153%)
b = -5.00419 +/- 0.1405 (2.808%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.913 1.000
*******************************************************************************
Thu Feb 1 05:48:43 2018
FIT: data read from "Ener.dat" u ($1*$1):2:3
format = x:z:s
#datapoints = 3
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 9.33551e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 491.183
initial set of free parameter values
a = 1
b = 1
After 6 iterations the fit converged.
final sum of squares of residuals : 0.697788
rel. change during last iteration : -6.19392e-11
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.835337
variance of residuals (reduced chisquare) = WSSR/ndf : 0.697788
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -1.47328 +/- 0.001698 (0.1153%)
b = -5.00419 +/- 0.1405 (2.808%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.913 1.000
Tutorial/Solutions/Exercise_1/Mz_Beta4/fit.log
deleted
100644 → 0
View file @
1bd05797
*******************************************************************************
Mon Jan 29 09:16:21 2018
FIT: data read from "Ener.dat" u (($1)*($1)):2:3
format = x:z:s
#datapoints = 3
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 9.33551e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 491.183
initial set of free parameter values
a = 1
b = 1
After 6 iterations the fit converged.
final sum of squares of residuals : 0.697788
rel. change during last iteration : -6.19392e-11
degrees of freedom (FIT_NDF) : 1
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.835337
variance of residuals (reduced chisquare) = WSSR/ndf : 0.697788
Final set of parameters Asymptotic Standard Error
======================= ==========================
a = -1.47328 +/- 0.001698 (0.1153%)
b = -5.00419 +/- 0.1405 (2.808%)
correlation matrix of the fit parameters:
a b
a 1.000
b -0.913 1.000
*******************************************************************************
Mon Jan 29 09:53:57 2018
FIT: data read from "Ener.dat" u ($1*$1):2:3
format = x:z:s
#datapoints = 3
function used for fitting: f(x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 2.26581e+06 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 206.403
initial set of free parameter values
