https://github.com/dmgw-goethe/pycbc
Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.
Science Score: 23.0%
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
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○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: aps.org, zenodo.org -
○Academic email domains
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.9%) to scientific vocabulary
Last synced: 4 months ago
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Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.
Basic Info
- Host: GitHub
- Owner: DMGW-Goethe
- License: gpl-3.0
- Language: Python
- Default Branch: master
- Homepage: http://pycbc.org
- Size: 69.4 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Fork of gwastro/pycbc
Created about 4 years ago
· Last pushed over 2 years ago
https://github.com/DMGW-Goethe/pycbc/blob/master/
 [PyCBC](http://pycbc.org) is a software package used to explore astrophysical sources of gravitational waves. It contains algorithms to analyze gravitational-wave data, detect coalescing compact binaries, and make bayesian inferences from gravitational-wave data. PyCBC was used in the [first direct detection of gravitational waves](https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.116.061102) and is used in flagship analyses of LIGO and Virgo data. PyCBC is collaboratively developed by the community and is lead by a team of GW astronomers with the aim to build accessible tools for gravitational-wave data analysis. The PyCBC home page is located on github at * https://pycbc.org/ Documentation is automatically built from the latest master version * https://pycbc.org/pycbc/latest/html/ For the detailed installation instructions of PyCBC * https://pycbc.org/pycbc/latest/html/install.html Want to get going using PyCBC? * [Try out our tutorials](https://github.com/gwastro/PyCBC-Tutorials). No software installation required and these can run entirely from the browser. Installation (assumes lalsuite to have been installed locally) ``` pip install -e . ``` To test the code on your machine ``` pip install pytest tox tox ``` If you use any code from PyCBC in a scientific publication, then please see our [citation guidelines](http://pycbc.org/pycbc/latest/html/credit.html) for more details on how to cite pycbc algorithms and programs. For the citation of the ``pycbc library``, please use a bibtex entry and DOI for the appropriate release of the PyCBC software (or the latest available release). A bibtex key and DOI for each release is avaliable from [Zenodo](http://zenodo.org/). [](https://zenodo.org/badge/latestdoi/31596861) [](https://travis-ci.org/gwastro/pycbc) [](https://badge.fury.io/py/PyCBC)  [](https://anaconda.org/conda-forge/pycbc) [](https://anaconda.org/conda-forge/pycbc) [](http://www.astropy.org/)
Owner
- Name: DMGW-Goethe
- Login: DMGW-Goethe
- Kind: organization
- Website: https://dmgw.space/
- Repositories: 1
- Profile: https://github.com/DMGW-Goethe
DMGW working group @ Goethe University Frankfurt