[Ifeffit] Commercial MoS2 -- Correction

[dmc at pdx.edu]

Hi List,

       It appears that changing the k-weight on my fit does improve the fit. 
I still have the problem of forcing the sO^2's on the two MS paths to be 
positive.  Here's some new data with k-weight 3:

             Thanks, Dan 

Project title :  Fitting merge 10_15_04.chi
============================================================

Independent points          =      28.581054688
Number of variables         =      13.000000000
Chi-square                  =    1527.118835332
Reduced Chi-square          =      98.011262136
R-factor                    =       0.025169471
Measurement uncertainty (k) =       0.000185138
Measurement uncertainty (R) =       0.081594539
Number of data sets         =       1.000000000


Guess parameters +/- uncertainties  (initial guess):
  e0 =     1.1335810   +/-      1.3393990    (guessed as 1.133581 (1.339426))
  ss =     0.0035870   +/-      0.0003110    (guessed as 0.003587 (0.000311))
  ss2 =     0.0042850   +/-      0.0002780    (guessed as 0.004285 (0.000278))
  ss3 =     0.0303100   +/-      0.0510420    (guessed as 0.030310 (0.051043))
  ss4 =     0.0000000   +/-      0.0303840    (guessed as 0.000000 (0.030385))
  ss5 =    -0.0008090   +/-      0.0043530    (guessed as -0.000809 (0.004353))
  ss6 =     0.0059560   +/-      0.0089810    (guessed as 0.005956 (0.008981))
  alpha=    -0.0006040   +/-      0.0023740    (guessed as -0.000604 (0.002374))
  alpha2=     0.0073900   +/-      0.0016520    (guessed as 0.007390 (0.001652))
  alpha3=   -0.0167250   +/-      0.0535940    (guessed as -0.016725 (0.053595))
  alpha4=   -0.0120340   +/-      0.0773040    (guessed as -0.012034 (0.077302))
  alpha5=   -0.0216900   +/-      0.0127530    (guessed as -0.021690 (0.012751))
  alpha6=     0.0219980   +/-      0.0183950    (guessed as 0.021998 (0.018395))

Def parameters:
  delr_1          =    -0.0027560
  delr_2          =     0.0337230
  delr_3          =    -0.0763210
  delr_4          =    -0.0549150
  delr_5          =    -0.0989780
  delr_6          =     0.1003830

Set parameters:
  amp1            =  .7


Correlations between variables:
          e0 and alpha      -->  0.8490
          e0 and alpha2     -->  0.8006
         ss3 and alpha4     -->  0.7123
       alpha and alpha2     -->  0.6792
         ss4 and alpha5     -->  0.6298
          ss and ss2        -->  0.6114
      alpha5 and alpha6     --> -0.5959
         ss5 and alpha4     -->  0.5328
         ss3 and ss4        -->  0.5300
         ss5 and ss6        --> -0.4931
         ss4 and alpha3     --> -0.4617
         ss2 and alpha5     -->  0.3847
         ss6 and alpha6     -->  0.3700
         ss2 and alpha3     -->  0.3276
         ss4 and ss5        --> -0.2764
      alpha2 and alpha4     -->  0.2506
All other correlations are below 0.25