Hi, Perhaps I am misunderstanding something here. It sounded like the original problem was that SO2 was too high/low for some shells. It also sounded like the solution was then to fit each shell separately with its own set of parameters; SO2, dr, sigma-squared. I don't think that is what Matt was saying but I think that was what Abhijeet implied. However, I may have completely misunderstood what was being done. If I did understand correctly then I have two concerns. 1. Can you justify having a different SO2 for each shell? I don't know, I am just asking. 2. In any case, it sounds to me like a recipe for ending up with too many free parameters. It seems to me that fitting separate pieces is dangerous. At the very least, at some point the pieces should be put together and the whole thing fit together. I can see this method as being reasonable to get starting values for each shell. However, a good model should work for the total spectrum as well as for individual pieces. If not, I would be be concerned about the model. Cheers, Adam Kelly, Shelly wrote:
Okay. Sure, I agree with Matt. But I don't think that this data can be broken into different shells....otherwise I do not believe that the model would fail when the entire data range is optimized together.
There could be two reasons that the model fails. Either there are correlations that were artificially broken by fitting the r-ranges separately or there is some data that is not accounted for in the model.
I guess I should only talk for myself. "I do not generally accept your fitting method to be the best". I did say BEST...sometimes best is not an option.
Shelly
-----Original Message----- From: ifeffit-bounces@millenia.cars.aps.anl.gov [mailto:ifeffit- bounces@millenia.cars.aps.anl.gov] On Behalf Of Matt Newville Sent: Friday, April 17, 2009 9:23 AM To: XAFS Analysis using Ifeffit Subject: Re: [Ifeffit] Fitting procedure
Shelly wrote:
....and what we are trying to say is that your method is not generally accepted as the best way to model data. We are?
If I understand Abhijeet's approach (first fit the first shell, then fix those parameters, change the R-range to the second shell and fit that), it is exactly what I would recommend.
--Matt
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