Metadata-Version: 2.1
Name: PyCBC
Version: 1.18.2
Summary: Core library to analyze gravitational-wave data, find signals, and study their parameters.
Home-page: http://www.pycbc.org/
Author: The PyCBC team
Author-email: alex.nitz@gmail.org
License: UNKNOWN
Download-URL: https://github.com/gwastro/pycbc/tarball/v1.18.2
Description: ![GW150914](https://raw.githubusercontent.com/gwastro/pycbc-logo/master/pycbc_logo_name.png)
        
        [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.
        
        Quick Installation
        ```
        pip install pycbc
        ```
        
        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/).
        
        [![DOI](https://zenodo.org/badge/31596861.svg)](https://zenodo.org/badge/latestdoi/31596861) [![Build Status](https://travis-ci.org/gwastro/pycbc.svg?branch=master)](https://travis-ci.org/gwastro/pycbc)
        [![PyPI version](https://badge.fury.io/py/PyCBC.svg)](https://badge.fury.io/py/PyCBC) ![PyPI - Downloads](https://img.shields.io/pypi/dm/pycbc) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/pycbc/badges/version.svg)](https://anaconda.org/conda-forge/pycbc) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/pycbc/badges/downloads.svg)](https://anaconda.org/conda-forge/pycbc)
        
Keywords: ligo,physics,gravity,signal processing,gravitational waves
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Requires-Python: >=2.7
Description-Content-Type: text/markdown
Provides-Extra: cuda
