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deep_gw_pe_followup

https://github.com/avivajpeyi/deep_gw_pe_followup

Science Score: 64.0%

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

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: arxiv.org, zenodo.org
  • ✓
    Committers with academic emails
    1 of 2 committers (50.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (5.8%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: avivajpeyi
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 624 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme Contributing License Citation

README.rst 

Deep Follow-up of GW events in q-xeff space
===========================================

Software to compute the marginalised likelihood $Z(d| q, xeff)$ for a data $d$
containing a CBC gravitational wave event and a q-xeff point in parameter space.

The method is described in the paper
''`Deep follow-up of GW151226: ordinary binary or low-mass-ratio system? `_''.


Studies
-------

The configurations for tests and examples of the software are available in the `studies` directory.

1. GW151226 like-injection

2. GW150914

3. GW151226

All results are uploaded in `Zenodo`_.

.. _Zenodo: https://zenodo.org/record/6975894
.. _Deep follow-up of GW151226: ordinary binary or low-mass-ratio system?


Installation and usage
----------------------

To install the software, clone this repository and run the following command:
`pip install -e .`

To generate a q-xeff prior and begin analysis, refer to the `studies/fast_injection` directory.

Owner

  • Name: Avi Vajpeyi
  • Login: avivajpeyi
  • Kind: user
  • Company: Monash University

Astrophysics PhD student

Citation (CITATION.cff) 

cff-version: 1.0.0
title: Deep Follow-up of the Gravitational Wave Event in q-xeff space
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Avi
    family-names: Vajpeyi
    email: avi.vajpeyi@monash.edu
    affiliation: >-
      School of Physics and Astronomy, Monash
      University, Clayton VIC 3800, Australia
    orcid: 'https://orcid.org/0000-0002-4146-1132'
identifiers:
  - type: url
    value: 'https://arxiv.org/abs/2203.13406'
    description: The journal that uses this software.
repository-code: 'https://github.com/avivajpeyi/deep_gw_pe_followup/'
url: 'https://github.com/avivajpeyi/deep_gw_pe_followup/'
abstract: >-
  Source code for the GW "Deep Follow-up". This code is used to
  evaluate the marginalised likelihood for GW events in the q-xeff space.
keywords:
  - gravitational-waves
  - parameter-estimation
  - bayesian-inference
license: MIT

GitHub Events

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Last synced: about 1 year ago

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  • Total Commits: 133
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  • Avg Commits per committer: 66.5
  • Development Distribution Score (DDS): 0.068
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Top Committers
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Avi Vajpeyi a****i@g****m 124
Avi Vajpeyi a****i@l****g 9
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ligo.org: 1

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Last synced: 9 months ago

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Dependencies

requirements/base.txt pypi
  • bilby *
  • bilby_pipe *
  • cached_property *
  • joblib *
  • pandas *
  • parallel_bilby *
requirements/dev.txt pypi
  • bandit * development
  • flake8 * development
  • mypy ==0.910 development
  • pytest * development
  • pytest-cov * development
  • pytest-runner * development
  • tox * development
requirements/doc.txt pypi
  • sphinx *
  • sphinx_rtd_theme *