Hi Dan,
You can't exclude paths by pushing the R-range up to just short
of the Reff for the path! This is for three reasons:
1) The EXAFS Fourier transform is not the radial
distribution function, although it is "related" to the
radial distribution function. One example of this is that the
contribution from a path tends to be centered lower (maybe half an
angstrom) in R-space than the Reff associated with the path.
2) Atoms vibrate, or have static disorder. That's what sigma2 is
about, after all. This means that if the mean absorber-scatterer
distance is x, there are many cases where it is somewhat less than
x.
3) Technical effects having to do with taking a Fourier transform
of a finite data range introduce additional broadening into the signal
due to a given path, so that it extends well below and above its mean
value.
So how do you know how high to go in R? There are many ways to
decide. One is to include the paths that you don't want to
worry about in the fit (e.g. the MS paths at 3.989). Then, when the
fit is done, use Artemis to plot those paths. You can then visually
see how far down in R they have a noticable effect, and set your Rmax
accordingly. If you really want to be sure. run a fit with them
included and one without. If the fit does not change significantly (R
factor, parameters stay pretty stable), then you know you're OK. If
the fit does change significantly, you've got to lower Rmax.
--Scott Calvin
Sarah lawrence College
Dear List,
Thanks for all the good
suggestions. Here's how my fit stands at this
point. I have a few multiple scattering paths at 3.989, in order
to excude
these 2 I put the R-range from 1-3.975. It seems that you think
I should
include these paths, if so, do I treat them a little differently.
They don't
seem to help the fit using the same parameter strategy.
Additionally, I
extended the k-range from 2-13.5 to 2-15. This seemed to improve
the reduced
chi-square dramatically.