Hi everybody, I would greatly appreciate if someone could provide me with K K-edge spectra for KCl and K2CO3. Cl K-edge in KCl would be useful too. Thanks in advance, Andrei Shiryaev Institute of crystallography, Moscow, Russia
Andrei,
What you are looking for may be located here:
http://ixs.iit.edu/database/data/Farrel_Lytle_data/RAW/periodic-table.html
If not, a publication database is also available (
http://www.xafs.org/Databases) that might guide you to someone who has the
data.
HTH,
Richard
On Fri, Oct 3, 2008 at 5:52 AM,
Hi everybody,
I would greatly appreciate if someone could provide me with K K-edge spectra for KCl and K2CO3. Cl K-edge in KCl would be useful too.
Thanks in advance, Andrei Shiryaev
Institute of crystallography, Moscow, Russia _______________________________________________ Ifeffit mailing list Ifeffit@millenia.cars.aps.anl.gov http://millenia.cars.aps.anl.gov/mailman/listinfo/ifeffit
Hello everyone, Sorry for bothering you again. I am using least-squares peak fit and linear combination fit to analyze my samples. I have spent tons of time on it, and it really makes me crazy. Why can't I get consistent results from these two methods? Please see the attached file. Both of these methods work well individually, but linear combination fit always need more peaks than peak fit to get an 'ok' fitting. Should I stick on one method for all my samples, no matter what results the other one gives? It is confusing me so much. Could anyone help me out? Thank you in advance for your help! Jenny __________________________________________________________________ Instant Messaging, free SMS, sharing photos and more... Try the new Yahoo! Canada Messenger at http://ca.beta.messenger.yahoo.com/
Hi Jenny, I don't know what exactly you are trying to do so I can't say which method is better but I can make a comment. It all comes down to the number of independent variables. The Gaussian and step functions are independent of each other. The heights, widths and positions can all be adjusted. In the linear combination you change everything together so for example, the ratio of the peak height and the step height doesn't change. The result is that you need more spectra to get the same number of degrees of freedom as in the least-squares peak fit. Cheers, Adam Jenny Cai wrote:
Hello everyone,
Sorry for bothering you again.
I am using least-squares peak fit and linear combination fit to analyze my samples. I have spent tons of time on it, and it really makes me crazy. Why can't I get consistent results from these two methods?
Please see the attached file. Both of these methods work well individually, but linear combination fit always need more peaks than peak fit to get an 'ok' fitting. Should I stick on one method for all my samples, no matter what results the other one gives? It is confusing me so much. Could anyone help me out?
Thank you in advance for your help!
Jenny
On Friday 24 October 2008 00:59:21 Jenny Cai wrote:
Hello everyone,
Sorry for bothering you again.
I am using least-squares peak fit and linear combination fit to analyze my samples. I have spent tons of time on it, and it really makes me crazy. Why can't I get consistent results from these two methods?
Please see the attached file. Both of these methods work well individually, but linear combination fit always need more peaks than peak fit to get an 'ok' fitting. Should I stick on one method for all my samples, no matter what results the other one gives? It is confusing me so much. Could anyone help me out?
Jenny, I think you are comparing apples and oranges. I certainly think you are looking for some correspondance between peak fitting and linear combination fitting that probably does not exist. When doing linear combination fitting, you are making the implicit assumption that your data can be described in that way. Suppose that you go to the chemical cabinet and grab jars of 5 stable, non-reactive chemicals. Scoop out a spatula-full of each and mix them together very well in ajar. Then scoop out a bit of the mixture, spread it on a piece of tape, and measure some XAS. In that case, we certainly expect LCF to work well. The measured spectrum should be a linear combination of the spectra from each of the 5 original materials in proportion that has something to do with how many absorber atoms were in each scoop. Now suppose that you take a scoop of soil from a swamp. You might expect that your metal atom is distributed among oxide and sulfide species. You measure some xas on the swamp soil and on a library of standards. You may find that you can do LCF using some mixture of oxides and sulfide, or you might not. That may mean that you neglected to consider an important standard, a carbide, for example. *Or* it might mean that the oxides and sulfides in the real sample include some kind of exotic organic species that isn't quite like the standards you have available. In the latter case, your LCF fit results will be approximate in the best scenario. So, you don't say anything about what sulfur species you are using as standards, nor do you say anything about what the sample is. Should you expect a perfect fit from some number of standards? Do you know for a fact that your standard is simply a linear combination of standards. That is, should you expect the LCF to tell you what the components *are* or should you expect the LCF to tell what the sample resembles? As for the peak fitting, what do each of the line shapes mean physically? Chemically? No XAS data is described by a single Gaussian. Neither is any XAS data described by a single arc-tangent. So why should the number of lineshapes required to generate a mathematical function that resembles your data be related to the number of species you require in a linear combination fit? You seem to making yourself crazy based on the assumption that there is some magical relationship between the six lineshapes you used in the peak fitting and the number of standards you use in the linear combination fitting. It seems to me that you would make yourself a lot less crazy if you didn't cling to this unsubstantiated assumption. B -- Bruce Ravel ------------------------------------ bravel@bnl.gov National Institute of Standards and Technology Synchrotron Methods Group at NSLS --- Beamlines U7A, X24A, X23A2 Building 535A Upton NY, 11973 My homepage: http://xafs.org/BruceRavel EXAFS software: http://cars9.uchicago.edu/~ravel/software/exafs/
participants (5)
-
Adam Webb
-
Bruce Ravel
-
Jenny Cai
-
Richard Mayes
-
shiryaev@crys.ras.ru