Problem
Correlated atomic motion creates large signals in the low-r region of the difference curves taken from PDFs at different temperatures.
Proposed solution
Create a "morph" to account for correlated atomic motion. The algorithm to do so involves:
- Computing the RDF from the PDF (already exists).
- Identifying peaks in the RDF (unlike
diffpy-cmi/pdfgui, we are not computing the PDFs, so we do not presuppose knowledge of peak locations).
- Reducing the widths of each peak.
- This is pretty difficult as we have to separate out each peak.
- Then, to reduce peak width, we have to divide the Fourier transform by the reduction Gaussian.
- Compute the new resulting PDF (already exists).
Problem
Correlated atomic motion creates large signals in the low-
rregion of the difference curves taken from PDFs at different temperatures.Proposed solution
Create a "morph" to account for correlated atomic motion. The algorithm to do so involves:
diffpy-cmi/pdfgui, we are not computing the PDFs, so we do not presuppose knowledge of peak locations).