CosmoStat / CosmoStat/shapepipe
Merge shape + photometry masks by intersection; build N(x)/randoms mask
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 18
- Forks
- 14
- Avg merge
- 8h 40m
- Merged PRs (30d)
- 10
Description
Combine the shape and PhotoPipe masks by intersection. Build the N_exp>=2 and N_point>=3 masks (N_point already in ShapePipe). The CCD-failure-based N(x) / randoms mask (where galaxies are not, for clustering/void work) is the missing piece.
Context: Paris meeting notes
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
Start with the Paris meeting notes and inspect the existing ShapePipe N_point mask and the shape and PhotoPipe mask implementations. Determine where their intersection and the N_exp>=2, N_point>3, and CCD-failure N(x)/randoms masks should be produced. Done means these masks are built for clustering and void analyses, with the existing N_point logic incorporated.
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
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100