Ticket #308 (closed feature: shelved)
Empirical form factor input for data fitting
| Reported by: | srkline | Owned by: | srkline |
|---|---|---|---|
| Priority: | minor | Milestone: | Wish List |
| Component: | Analysis | Keywords: | |
| Cc: | Task: | ||
| Blocking: |
Description
From Yun and Chris Roberts: It might be nice for some applications to allow P(q) to be experimental data, input by the users, and then the fitting routines can fit the S(q) parameters.
Change History
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This may be relatively easy to implement. P(Q) can be loaded in from a data file in I(Q) format. Then an "empirical" function can be generically written to return the interpolated P(Q) at any input Q. This could be written into a completely general format. There would likely need to be a separate scale factor for the P(q), since there are no guarantees on how it will be normalized. People will want to normalize to 1, but that is always wrong.