CloudCovErr
Pipeline for debiasing and improving error bar estimates for photometry on top of structured/filamentary background.
Science Score: 46.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
✓Committers with academic emails
1 of 2 committers (50.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (19.0%) to scientific vocabulary
Keywords
Repository
Pipeline for debiasing and improving error bar estimates for photometry on top of structured/filamentary background.
Basic Info
Statistics
- Stars: 6
- Watchers: 1
- Forks: 2
- Open Issues: 1
- Releases: 2
Topics
Metadata Files
README.md
CloudCovErr.jl 
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Pipeline for debiasing and improving error bar estimates for photometry on top of structured/filamentary background. The procedure first estimates the covariance matrix of the residuals from a previous photometric model and then computes corrections to the estimated flux and flux uncertainties.
Discontinued. Please see CloudCovFix.jl
CloudCovFix.jl combines CloudCovErr.jl and CloudClean.jl. The CloudCovErr.jl repo is now mostly a documentation repo. The main issue is that the python dependencies we built to interface with crowdsource cannot be made stable due to Conda package management issues. The new implementation at CloudCovFix.jl is "python-free" and any interfacing will have to be done as a wrapper.
Installation
CloudCovErr is a registered package so a stable version can be installed using Pkg.add.
julia
import Pkg
Pkg.add("CloudCovErr")
For the most recent development version, install directly from the GitHub
julia
import Pkg
Pkg.add(url="https://github.com/andrew-saydjari/CloudCovErr.jl")
Currently, we only support compatibility with linux and macOS in order to easily interface with dependencies of crowdsource. Due to older versions of Julia bundling outdated libstcd++, we only support Julia 1.6+ again to make interfacing with python-based photometric pipelines easier (see issue). However, workarounds exist for both problems. Please open an issue if there is some compatibility you would like supported.
Documentation
Detailed documentation can be found here.
Users may also find it helpful to consult the manuscript accompanying this release.
Example
A key ingredient to our flux debiasing and uncertainty estimation algorithm is a good estimate of the distribution of possible backgrounds behind a star. An example is shown below.
Contributing and Questions
This is a new piece of software. Filing an issue to report a bug or request a feature is extremely valuable in helping us prioritize what to work on, so don't hesitate.
Owner
- Name: Andrew Saydjari
- Login: andrew-saydjari
- Kind: user
- Location: Cambridge, MA
- Company: @Harvard
- Website: https://andrew-saydjari.github.io/
- Repositories: 8
- Profile: https://github.com/andrew-saydjari
5th Year PhD student @ Harvard Physics. BS/MS @ Yale '18. I am an astronomer interested in data science working on dust.
GitHub Events
Total
- Watch event: 3
- Push event: 187
- Create event: 1
Last Year
- Watch event: 3
- Push event: 187
- Create event: 1
Committers
Last synced: almost 3 years ago
All Time
- Total Commits: 422
- Total Committers: 2
- Avg Commits per committer: 211.0
- Development Distribution Score (DDS): 0.031
Top Committers
| Name | Commits | |
|---|---|---|
| andrew-saydjari | s****i@g****u | 409 |
| CompatHelper Julia | c****y@j****g | 13 |
Committer Domains (Top 20 + Academic)
Packages
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
juliahub.com: CloudCovErr
Pipeline for debiasing and improving error bar estimates for photometry on top of structured/filamentary background.
- Documentation: https://docs.juliahub.com/General/CloudCovErr/stable/
- License: MIT
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Latest release: 0.9.1
published about 4 years ago
Rankings
Dependencies
- actions/checkout v2 composite
- julia-actions/setup-julia latest composite
- JuliaRegistries/TagBot v1 composite
- actions/cache v1 composite
- actions/checkout v2 composite
- codecov/codecov-action v2 composite
- julia-actions/julia-processcoverage v1 composite
- julia-actions/julia-runtest v1 composite
- julia-actions/setup-julia v1 composite