On Wednesday, December 12, 2012 03:00:41 PM Matthew Marcus wrote: > Hmm. Another possible way to do it is to delete the bad data points and > then do a "slow" FT, which would be a fit of the data, at the points given > with no interpolation, to a sum of sines and cosines. This would have the > nice feature of using the data as it is and ignoring the bad > stuff. Filtering would involve multiplying the sines and cosines by some > window function (in R space) and evaluating them *at the given k-points*, > not on a regular grid. This of course means that evaluating FEFF paths and > the like is likely to be slow because you don't get to use recursion > relations to evaluate sin(2*R*k(i)+delta) as you would if k(i) are > uniformly tabulated. Now that computers are a bazillion times faster than > they were when EXAFS analysis traditions were established, maybe that's the > way to go. What do you think?
I think data should be measured correctly in the first place if at all possible! ;) That said, your suggestion seems completely valid to me. And, just to be clear, it's completely impossible with Ifeffit. Larch, on the other hand.... B -- Bruce Ravel ------------------------------------ bra...@bnl.gov National Institute of Standards and Technology Synchrotron Methods Group at NSLS --- Beamlines U7A, X24A, X23A2 Building 535A Upton NY, 11973 Homepage: http://xafs.org/BruceRavel Software: https://github.com/bruceravel _______________________________________________ Ifeffit mailing list Ifeffit@millenia.cars.aps.anl.gov http://millenia.cars.aps.anl.gov/mailman/listinfo/ifeffit