On Wed, 17 Jul 2002, Bruce Ravel wrote:
CS> What is done with the high density data when converting to CS> k-space? Do you rebin (averaging both E and mu data) or do you CS> use a smoothing fit to take advantage of the statistics present CS> in the excess data points, or do you just interpolate and throw CS> away the extra statistics?
I think I answered this above. I suppose you might say that ifeffit "interpolates and throws", but even that depends on what advantage you claim to be getting by measuring on a finer grid. There are physical limits to the resolution, so in that sense a finer grid does not help. However, mesuring for one second per point on, say, a 0.25 eV grid is similar in a counting statistics sense to two measurements of one second per point on a 0.5 eV grid. That counting statistics improvement is not lost in the interpolation of chi(E) to chi(k).
I think that this last sentence is the answer that I was looking for. I wanted to know if the counting statistics improvement is propagated in the transformation to k-space. This is good since it means that we do not have to write our own rebinning or smoothing routines before handing the data off to athena and ifeffit. Carlo -- Carlo U. Segre -- Professor of Physics Illinois Institute of Technology Voice: 312.567.3498 Fax: 312.567.3494 Carlo.Segre@iit.edu http://www.iit.edu/~segre