SANS background subtraction
Open
Nobody has claimed this yet.
esspolarization
- Dominant language
- Python
- Stars
- 1
- Forks
- 3
- Avg merge
- 2d 11h
- Merged PRs (30d)
- 17
Description
Background run $I_{\text{background}}(Q_x, Q_y)$ should be subtracted after polarization correction of $I_{\text{sample}}(Q_x, Q_y)$, as for unpolarized SANS.
Contributor guide
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.
Research direction
No file or test is named. Locate the SANS data-reduction entry point and compare the polarized workflow with the unpolarized SANS path, focusing on background subtraction and polarization correction order. Done means the background run is subtracted after polarization correction for the sample, with coverage for the corrected ordering.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100