

*******************************************************************************
Thu Oct 28 21:33:31 2010


FIT:    data read from 'sumace.dat' using 1:2
        #datapoints = 11
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.18783           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.347905

initial set of free parameter values

A               = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 1.09267e-005
rel. change during last iteration : -5.03875e-014

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00104531
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.09267e-006

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0554635        +/- 0.0009059    (1.633%)


correlation matrix of the fit parameters:

               A      
A               1.000 


*******************************************************************************
Thu Oct 28 21:34:27 2010


FIT:    data read from 'sumace.dat' using 1:2
        #datapoints = 11
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.09267e-005      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.347905

initial set of free parameter values

A               = 0.0554635

After 1 iterations the fit converged.
final sum of squares of residuals : 1.09267e-005
rel. change during last iteration : -1.24031e-015

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00104531
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.09267e-006

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0554635        +/- 0.0009059    (1.633%)


correlation matrix of the fit parameters:

               A      
A               1.000 


*******************************************************************************
Thu Oct 28 21:49:21 2010


FIT:    data read from 'tau.dat' using 1:2
        #datapoints = 31
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.0146801         delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.736804

initial set of free parameter values

A               = 0.0554635
B               = 1

After 4 iterations the fit converged.
final sum of squares of residuals : 0.0105944
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 29
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0191135
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000365325

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.039972         +/- 0.004893     (12.24%)
B               = 0.994479         +/- 0.006162     (0.6197%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.003  1.000 


*******************************************************************************
Thu Oct 28 21:51:27 2010


FIT:    data read from 'tau.dat' using 1:2
        #datapoints = 31
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.0109802         delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.627138

initial set of free parameter values

B               = 0.994479

After 1 iterations the fit converged.
final sum of squares of residuals : 0.0109802
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 30
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0191313
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000366007

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

B               = 0.994479         +/- 0.005479     (0.5509%)


correlation matrix of the fit parameters:

               B      
B               1.000 


*******************************************************************************
Thu Oct 28 21:51:57 2010


FIT:    data read from 'tau.dat' using 1:2
        #datapoints = 31
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.0122095         delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.637577

initial set of free parameter values

B               = 0.5

After 3 iterations the fit converged.
final sum of squares of residuals : 0.01217
rel. change during last iteration : -4.27289e-007

degrees of freedom    (FIT_NDF)                        : 30
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0201412
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000405668

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

B               = 0.498187         +/- 0.005687     (1.141%)


correlation matrix of the fit parameters:

               B      
B               1.000 


*******************************************************************************
Thu Oct 28 21:52:29 2010


FIT:    data read from 'tau.dat' using 1:2
        #datapoints = 31
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.000541362       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.64324

initial set of free parameter values

B               = 0.3

After 4 iterations the fit converged.
final sum of squares of residuals : 0.000320919
rel. change during last iteration : -1.68922e-016

degrees of freedom    (FIT_NDF)                        : 30
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00327067
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.06973e-005

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

B               = 0.295815         +/- 0.0009272    (0.3134%)


correlation matrix of the fit parameters:

               B      
B               1.000 


*******************************************************************************
Thu Oct 28 21:53:17 2010


FIT:    data read from 'tau.dat' using 1:2
        #datapoints = 31
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.000541362       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.67772

initial set of free parameter values

A               = 0.045
B               = 0.3

After 4 iterations the fit converged.
final sum of squares of residuals : 0.000269592
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 29
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00304898
variance of residuals (reduced chisquare) = WSSR/ndf   : 9.29627e-006

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0468054        +/- 0.0007688    (1.643%)
B               = 0.29597          +/- 0.0008335    (0.2816%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.084  1.000 


*******************************************************************************
Thu Oct 28 21:59:08 2010


FIT:    data read from 'T1.dat' using 1:2
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 3506.67           delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 258.741

initial set of free parameter values

A               = 0.0468054

After 4 iterations the fit converged.
final sum of squares of residuals : 0.011073
rel. change during last iteration : -1.2533e-015

degrees of freedom    (FIT_NDF)                        : 23
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0219416
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000481434

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 8.8258e-005      +/- 1.731e-005   (19.61%)


correlation matrix of the fit parameters:

               A      
A               1.000 


*******************************************************************************
Thu Oct 28 21:59:55 2010


FIT:    data read from 'sumace.dat' using 1:2
        #datapoints = 11
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.0040936         delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.347905

initial set of free parameter values

A               = 8.8258e-005

After 3 iterations the fit converged.
final sum of squares of residuals : 1.09267e-005
rel. change during last iteration : -2.14051e-006

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00104531
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.09267e-006

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0554635        +/- 0.0009059    (1.633%)


correlation matrix of the fit parameters:

               A      
A               1.000 


*******************************************************************************
Thu Oct 28 22:00:20 2010


FIT:    data read from 'sumace.dat' using 1:2
        #datapoints = 11
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.09267e-005      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.347905

initial set of free parameter values

A               = 0.0554635

After 1 iterations the fit converged.
final sum of squares of residuals : 1.09267e-005
rel. change during last iteration : -3.10077e-016

degrees of freedom    (FIT_NDF)                        : 10
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00104531
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.09267e-006

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0554635        +/- 0.0009059    (1.633%)


correlation matrix of the fit parameters:

               A      
A               1.000 


*******************************************************************************
Thu Oct 28 22:00:36 2010


FIT:    data read from 'tau.dat' using 1:2
        #datapoints = 31
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.000541362       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.67772

initial set of free parameter values

A               = 0.045
B               = 0.3

After 4 iterations the fit converged.
final sum of squares of residuals : 0.000269592
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 29
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00304898
variance of residuals (reduced chisquare) = WSSR/ndf   : 9.29627e-006

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0468054        +/- 0.0007688    (1.643%)
B               = 0.29597          +/- 0.0008335    (0.2816%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.084  1.000 


*******************************************************************************
Thu Oct 28 22:01:51 2010


FIT:    data read from 'tau.dat' using 1:2
        #datapoints = 31
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.000541362       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.67772

initial set of free parameter values

A               = 0.045
B               = 0.3

After 4 iterations the fit converged.
final sum of squares of residuals : 0.000269592
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 29
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00304898
variance of residuals (reduced chisquare) = WSSR/ndf   : 9.29627e-006

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0468054        +/- 0.0007688    (1.643%)
B               = 0.29597          +/- 0.0008335    (0.2816%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.084  1.000 


*******************************************************************************
Thu Oct 28 22:02:20 2010


FIT:    data read from 'tau.dat' using 1:2
        #datapoints = 31
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.000541362       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.67772

initial set of free parameter values

A               = 0.045
B               = 0.3

After 4 iterations the fit converged.
final sum of squares of residuals : 0.000269592
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 29
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00304898
variance of residuals (reduced chisquare) = WSSR/ndf   : 9.29627e-006

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0468054        +/- 0.0007688    (1.643%)
B               = 0.29597          +/- 0.0008335    (0.2816%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.084  1.000 


*******************************************************************************
Thu Oct 28 22:02:49 2010


FIT:    data read from 'tau.dat' using 1:2
        #datapoints = 31
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.000541362       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.67772

initial set of free parameter values

A               = 0.045
B               = 0.3

After 4 iterations the fit converged.
final sum of squares of residuals : 0.000269592
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 29
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00304898
variance of residuals (reduced chisquare) = WSSR/ndf   : 9.29627e-006

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0468054        +/- 0.0007688    (1.643%)
B               = 0.29597          +/- 0.0008335    (0.2816%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.084  1.000 


*******************************************************************************
Thu Oct 28 22:03:29 2010


FIT:    data read from 'tau.dat' using 1:2
        #datapoints = 31
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.000269601       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.68764

initial set of free parameter values

A               = 0.0468
B               = 0.296

After 2 iterations the fit converged.
final sum of squares of residuals : 0.000269592
rel. change during last iteration : -2.81045e-007

degrees of freedom    (FIT_NDF)                        : 29
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.00304898
variance of residuals (reduced chisquare) = WSSR/ndf   : 9.29628e-006

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0468052        +/- 0.0007688    (1.643%)
B               = 0.295969         +/- 0.0008335    (0.2816%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.084  1.000 


*******************************************************************************
Thu Oct 28 22:05:18 2010


FIT:    data read from 'T1.dat' using 1:2
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 2.60462e+254      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 2.7113e+129

initial set of free parameter values

A               = 0.0468052
B               = 0.295969

After 1 iterations the fit converged.
final sum of squares of residuals : 4.83675e+253
rel. change during last iteration : -4.38506

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 1.48274e+126
variance of residuals (reduced chisquare) = WSSR/ndf   : 2.19852e+252

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0467897        +/- 2.626e+062   (5.612e+065%)
B               = 0.295127         +/- 4.824e+060   (1.635e+063%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B              -1.000  1.000 


*******************************************************************************
Thu Oct 28 22:05:38 2010


FIT:    data read from 'T2.dat' using 1:2
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values

BREAK:          Undefined value during function evaluation



*******************************************************************************
Thu Oct 28 22:06:19 2010


FIT:    data read from 'T1.dat' using 1:2
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 4.83675e+253      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 1.16786e+129

initial set of free parameter values

A               = 0.0467897
B               = 0.295127

After 1 iterations the fit converged.
final sum of squares of residuals : 8.97511e+252
rel. change during last iteration : -4.38907

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 6.38717e+125
variance of residuals (reduced chisquare) = WSSR/ndf   : 4.0796e+251

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0467743        +/- 1.723e+062   (3.683e+065%)
B               = 0.294285         +/- 3.168e+060   (1.076e+063%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B              -1.000  1.000 


*******************************************************************************
Thu Oct 28 22:08:05 2010


FIT:    data read from 'T1.dat' using 1:2
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.0236834         delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.119253

initial set of free parameter values

A               = 0.045
B               = 0.1

After 42 iterations the fit converged.
final sum of squares of residuals : 0.00288256
rel. change during last iteration : -7.50455e-007

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0114466
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.000131025

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0251595        +/- 0.002558     (10.17%)
B               = -0.000784152     +/- 0.00024      (30.6%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.623  1.000 


*******************************************************************************
Thu Oct 28 22:08:20 2010


FIT:    data read from 'T1.dat' using 1:2
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.0258506         delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.119253

initial set of free parameter values

A               = 0.045
B               = 0.1

After 6 iterations the fit converged.
final sum of squares of residuals : 0.0235753
rel. change during last iteration : -1.4947e-007

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0327354
variance of residuals (reduced chisquare) = WSSR/ndf   : 0.0010716

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = -1.47486         +/- 5370         (3.641e+005%)
B               = 1.20018          +/- 730.4        (6.085e+004%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B              -1.000  1.000 


*******************************************************************************
Thu Oct 28 22:17:31 2010


FIT:    data read from 'T1.dat' using 1:2
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.00654311        delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.670939

initial set of free parameter values

A               = 0.045
B               = 0.1

After 7 iterations the fit converged.
final sum of squares of residuals : 2.33897e-006
rel. change during last iteration : -3.37758e-006

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.000326063
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.06317e-007

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0440937        +/- 0.0001387    (0.3146%)
B               = 0.0164305        +/- 0.0001431    (0.8708%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B              -0.738  1.000 


*******************************************************************************
Thu Oct 28 22:18:08 2010


FIT:    data read from 'T1.dat' using 1:2
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 2.3469e-006       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.700791

initial set of free parameter values

A               = 0.0441
B               = 0.0164

After 3 iterations the fit converged.
final sum of squares of residuals : 2.33897e-006
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.000326063
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.06317e-007

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0440936        +/- 0.0001387    (0.3146%)
B               = 0.0164306        +/- 0.0001431    (0.8708%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B              -0.738  1.000 


*******************************************************************************
Thu Oct 28 22:20:13 2010


FIT:    data read from 'T2.dat' using 1:2
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.0117503         delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.00629948

initial set of free parameter values

A               = 0.06
B               = 0.0164306
BREAK:          Undefined value during function evaluation



*******************************************************************************
Thu Oct 28 22:21:04 2010


FIT:    data read from 'T1.dat' using 1:2
        #datapoints = 24
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 2.3469e-006       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.700791

initial set of free parameter values

A               = 0.0441
B               = 0.0164

After 3 iterations the fit converged.
final sum of squares of residuals : 2.33897e-006
rel. change during last iteration : 0

degrees of freedom    (FIT_NDF)                        : 22
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.000326063
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.06317e-007

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0440936        +/- 0.0001387    (0.3146%)
B               = 0.0164306        +/- 0.0001431    (0.8708%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B              -0.738  1.000 


*******************************************************************************
Thu Oct 28 22:21:10 2010


FIT:    data read from 'T2.dat' using 1:2
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.0107209         delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 0.532426

initial set of free parameter values

A               = 0.06
B               = 0.006

After 29 iterations the fit converged.
final sum of squares of residuals : 1.40825e-005
rel. change during last iteration : -2.66558e-006

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0010408
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.08327e-006

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0668315        +/- 0.001299     (1.944%)
B               = 0.000766275      +/- 2.26e-005    (2.949%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.869  1.000 


*******************************************************************************
Thu Oct 28 22:22:07 2010


FIT:    data read from 'T2.dat' using 1:2
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 0.000145495       delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 19.6381

initial set of free parameter values

A               = 0.07
B               = 0.0007

After 6 iterations the fit converged.
final sum of squares of residuals : 1.40825e-005
rel. change during last iteration : -5.42218e-007

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0010408
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.08327e-006

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0668324        +/- 0.001299     (1.944%)
B               = 0.000766293      +/- 2.26e-005    (2.949%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.869  1.000 


*******************************************************************************
Thu Oct 28 22:22:30 2010


FIT:    data read from 'T2.dat' using 1:2
        #datapoints = 15
        residuals are weighted equally (unit weight)

function used for fitting: f(x)
fitted parameters initialized with current variable values



 Iteration 0
 WSSR        : 1.42339e-005      delta(WSSR)/WSSR   : 0
 delta(WSSR) : 0                 limit for stopping : 1e-005
 lambda	  : 16.93

initial set of free parameter values

A               = 0.0668
B               = 0.00077

After 4 iterations the fit converged.
final sum of squares of residuals : 1.40825e-005
rel. change during last iteration : -1.68414e-015

degrees of freedom    (FIT_NDF)                        : 13
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.0010408
variance of residuals (reduced chisquare) = WSSR/ndf   : 1.08327e-006

Final set of parameters            Asymptotic Standard Error
=======================            ==========================

A               = 0.0668295        +/- 0.001299     (1.944%)
B               = 0.000766239      +/- 2.26e-005    (2.949%)


correlation matrix of the fit parameters:

               A      B      
A               1.000 
B               0.869  1.000 
