[Ifeffit] running ifeffit under 64-bit windows7
"Dr. Dariusz A. Zając"
kicaj at ifj.edu.pl
Sat Mar 10 09:07:30 CST 2012
Hi,
maybe these below clarify a little bit the problem, but the problem
sounds very intriguing
http://millenia.cars.aps.anl.gov/pipermail/ifeffit/2004-July/005729.html
http://millenia.cars.aps.anl.gov/pipermail/ifeffit/2005-October/006613.html
http://cars9.uchicago.edu/ifeffit/FAQ/FeffitModeling
I am waiting also for the answer from authors
Do you see changes in the fit in R or/and K space, between systems? I
suppose that all input parameters were identical...
regards
kicaj
W dniu 12-03-10 15:17, Sameh Ibrahim Ahmed pisze:
> Hi,
> I have used ARTEMIS to fit the EXAFS of a simple Cu foil with the two
> diffrent machines, a 32 bit and 64 bit ones, both running widows7, 32
> ans 64 bit respectively.
> The results obtained are slightly different, I have appended the
> message with these results. the very low value of R-factor produced
> with the 64bit system is difficult to interpret. the questions are;
> 1- how to account for these differences?
> 2- if I to publish something, which measure of the quality should I
> present? and how can I interpret it?
> regards
> Sameh
> ============================================================
> 32bit windows 7
> Independent points = 12.172851562
> Number of variables = 6.000000000
> Chi-square = 53.001967099
> Reduced Chi-square = 8.586301900
> R-factor = 0.000163791 !!!
> Measurement uncertainty (k) = 0.000110566
> Measurement uncertainty (R) = 0.057163282
> Number of data sets = 1.000000000
>
> Guess parameters +/- uncertainties (initial guess):
> amp = 0.9907500 +/- 0.0312520 (1.0000)
> enot = 5.6814210 +/- 0.3815760 (0.0000)
> delr1 = 0.0016460 +/- 0.0033990 (0.0000)
> ss1 = 0.0099820 +/- 0.0004090 (0.0030)
> w1 3rd cumulant = 0.0001710 +/- 0.0000340 (0.0000)
> p1 4th cumulant = 0.0000240 +/- 0.0000070 (0.0000)
>
> ============================================================
> 64bit windows 7
> Independent points = 12.172851562
> Number of variables = 6.000000000
> Chi-square = 54.036163164
> Reduced Chi-square = 8.753841335
> R-factor = 0.309664502E-06 !!!
> Measurement uncertainty (k) = 0.000097377
> Measurement uncertainty (R) = 0.050344538
> Number of data sets = 1.000000000
>
> Guess parameters +/- uncertainties (initial guess):
> amp = 1.0029100 +/- 0.0296670 (1.0000)
> enot = 5.7522760 +/- 0.4614510 (0.0000)
> delr1 = 0.0024980 +/- 0.0040190 (0.0000)
> ss1 = 0.0101430 +/- 0.0003790 (0.0030)
> w1 3rd cumulant = 0.0001780 +/- 0.0000410 (0.0000)
> p1 4th cumulant = 0.0000260 +/- 0.0000070 (0.0000)
> ============================================================
>
>
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