Normalise by vanadium in (d, 2theta)
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essdiffraction
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- Python
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Description
From today's discussion, it sounds like we need to compute 2d maps (2theta - dspacing) for sample and vanadium, divide them, and then sum along 2theta?
Originally posted by @nvaytet in https://github.com/scipp/essdiffraction/pull/155#discussion_r2066195514
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Start by reviewing the discussion in PR #155 that prompted this issue. Trace the existing sample and vanadium data-reduction entry points, then determine where 2theta–d maps should be computed and divided before summing along 2theta. Done means the vanadium normalization is implemented for the relevant reduction flow and its behavior is covered by an appropriate test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100