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Note from #81": To deal better with overlaps, and try to overcome a few recurring problems:
Can we convert columnfile.py into a pandas dataframe ?
Raw peak data in one table (x,y,omega,intensity etc)
Detector geometry applied -> XL, YL, ZL : adds a new table depending on geometry
Depending on (UB)+Diffractometer -> OmegaCalc : adds a new table for each grain
Depending on (translation+omega) or (translation+OmegaCalc) -> tth/eta/k/gv/hr/drlv
A peak to grain assignment matrix should be very sparse. Currently only one grain per peak. It would help for twins and duplicates to store the N grains per peak which might be able to index.
The rest of the this would imply a bit of reorganisation to update the geometry to pull out detector versus diffractometer + grain computations.
If two grains are the same within hkl_tol then we should look into merging them...
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