*******************************************************************************
Fri May 21 15:09:19 1999


FIT:    data read from "< grep 'Cu_3 Au' SKENG | awk '{print $4, $6}'"
        #datapoints = 6
        y-errors assumed equally distributed

function used for fitting: e(e1,v1,k1,k1p,x)
use actual parameter values


Initial set of free parameters:


Iteration 0
chisquare : 0.00549271        relative deltachi2 : 0
deltachi2 : 0                 limit for stopping : 1e-05
lambda	  : 0.01

actual set of parameters

e1              = -2.5
v1              = 730
k1              = 0.01
k1p             = 4

After 4 iterations the fit converged.
final sum of squares residuals    : 1.09042e-06
rel. change during last iteration : -9.50253e-07

Final set of parameters            68.3% confidence interval (one at a time)
=======================            =========================================

e1              = -2.50585         +/- 0.000283207     (0.0113019%)
v1              = 718.292          +/- 0.278721        (0.0388033%)
k1              = 0.0136317        +/- 5.37875e-05     (0.394575%)
k1p             = 7.77775          +/- 0.109893        (1.41292%)


correlation matrix of the fit parameters:

               e1     v1     k1     k1p    
e1              1.000 -0.242 -0.706  0.476 
v1             -0.242  1.000 -0.047 -0.843 
k1             -0.706 -0.047  1.000 -0.423 
k1p             0.476 -0.843 -0.423  1.000 


*******************************************************************************
Fri May 21 15:09:20 1999


FIT:    data read from "< grep 'Cu Au_3' SKENG | awk '{print $4, $6}'"
        #datapoints = 7
        y-errors assumed equally distributed

function used for fitting: e(e2,v2,k2,k2p,x)
use actual parameter values


Initial set of free parameters:


Iteration 0
chisquare : 0.0396447         relative deltachi2 : 0
deltachi2 : 0                 limit for stopping : 1e-05
lambda	  : 0.01

actual set of parameters

e2              = -2.3
v2              = 850
k2              = 0.01
k2p             = 4

After 4 iterations the fit converged.
final sum of squares residuals    : 5.25157e-05
rel. change during last iteration : -2.57072e-08

Final set of parameters            68.3% confidence interval (one at a time)
=======================            =========================================

e2              = -2.26309         +/- 0.00174016      (0.0768931%)
v2              = 859.008          +/- 1.13832         (0.132516%)
k2              = 0.011922         +/- 0.00027576      (2.31304%)
k2p             = 3.79985          +/- 0.232233        (6.11163%)


correlation matrix of the fit parameters:

               e2     v2     k2     k2p    
e2              1.000 -0.251 -0.757  0.650 
v2             -0.251  1.000  0.230 -0.615 
k2             -0.757  0.230  1.000 -0.883 
k2p             0.650 -0.615 -0.883  1.000