https://github.com/jcbayley/soapcw

A rapid search algorithm using machine learning for continuous gravitational waves from loosley modelled signals.

https://github.com/jcbayley/soapcw

Science Score: 46.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: aps.org
  • Committers with academic emails
    3 of 4 committers (75.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

A rapid search algorithm using machine learning for continuous gravitational waves from loosley modelled signals.

Basic Info
  • Host: GitHub
  • Owner: jcbayley
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 9.31 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 1
  • Open Issues: 9
  • Releases: 3
Created over 2 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog Contributing License Authors

README.md

PyPI Documentation Status tests

Logo

SOAP

SOAP: Applying the Viterbi algorithm to search for sources of continuous gravitational waves.

Vitmap

SOAP is primarily developed to search for continuous sources of gravitational waves, however, has a more general application to search for and long duration weak signal.

This package also includes tools to load in standard short Fourier transforms (SFTs) and prepare them for usage with the core SOAP search.

  • Free software: MIT license
  • Documentation: https://soapcw.readthedocs.io/en/latest/

  • old LIGO hosted package (!!!!!no longer maintained!!!!): https://git.ligo.org/joseph.bayley/soapcw/

Publications

  • Methods paper: https://journals.aps.org/prd/abstract/10.1103/PhysRevD.100.023006
  • CNN followup paper: https://journals.aps.org/prd/abstract/10.1103/PhysRevD.102.083024
  • Parameter estimation paper: https://journals.aps.org/prd/abstract/10.1103/PhysRevD.106.083022

Features

TODO

  • robustly include three detectors

Credits

This package was created with Cookiecutter_ and the audreyr/cookiecutter-pypackage_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter .. _audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage

Owner

  • Login: jcbayley
  • Kind: user

GitHub Events

Total
  • Create event: 2
  • Release event: 2
  • Issues event: 10
  • Delete event: 3
  • Push event: 15
  • Pull request event: 6
  • Fork event: 1
Last Year
  • Create event: 2
  • Release event: 2
  • Issues event: 10
  • Delete event: 3
  • Push event: 15
  • Pull request event: 6
  • Fork event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 68
  • Total Committers: 4
  • Avg Commits per committer: 17.0
  • Development Distribution Score (DDS): 0.324
Past Year
  • Commits: 15
  • Committers: 2
  • Avg Commits per committer: 7.5
  • Development Distribution Score (DDS): 0.067
Top Committers
Name Email Commits
Joseph Bayley j****y@u****m 46
Joseph Charles Bayley j****y@l****u 20
Joe Bayley j****y@g****k 1
Joseph Charles Bayley j****y@l****u 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 6
  • Total pull requests: 3
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 2 months
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 6
  • Pull requests: 3
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 2 months
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • jcbayley (10)
Pull Request Authors
  • jcbayley (4)
Top Labels
Issue Labels
bug (4) enhancement (3)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 34 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 14
  • Total maintainers: 1
pypi.org: soapcw

SOAP is a rapid algorithm to search for continuous sources of gravitational waves, with a wider application to long duration narrowband signals.

  • Versions: 14
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 34 Last month
Rankings
Dependent packages count: 10.1%
Dependent repos count: 21.6%
Downloads: 24.4%
Average: 25.0%
Forks count: 29.8%
Stargazers count: 38.8%
Maintainers (1)
Last synced: 7 months ago