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Merge shape + photometry masks by intersection; build N(x)/randoms mask

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#837 0 comments 0 reactions 0 assignees View on GitHub

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
48/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Quiet
Tech stack
python
Domain
data

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.

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

Dominant language
Python
Stars
18
Forks
14
Avg merge
8h 40m
Merged PRs (30d)
10

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  4. Open a pull request that references the issue number.

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