Explore region-of-interest limits for image binning (and histograms?)
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
Research direction
Start by locating the Dask-backed images binning tool and read issue #21 for the time-histogram context. Determine how a user-specified region of interest should select events, then verify that events outside it are excluded and decide whether the same limits apply to the histogram tool.
Written by the indexing model from the issue text.
Description
Now that the image binning tool images runs on Dask, it ought to be straightforward to allow the user to specify a region of interest from which to include events, disregarding all others. This would allow investigation of the evolution of a single stationary diffraction peak for example. It might also be useful to apply the same ROI limits to a time-histogram tool (see #21).
- Dominant language
- Python
- Stars
- 2
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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DiamondLightSource/python-tristan#97 · 1 assignee ·
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