Metadata-Version: 2.1
Name: gwpopulation
Version: 0.6.1
Summary: Unified population inference
Home-page: https://github.com/ColmTalbot/gwpopulation
Author: Colm Talbot
Author-email: colm.talbot@monash.edu
License: MIT
Description: [![Build Status](https://travis-ci.com/ColmTalbot/gwpopulation.svg?branch=master)](https://travis-ci.com/ColmTalbot/gwpopulation)
        [![Maintainability](https://api.codeclimate.com/v1/badges/579536603e8e06466e63/maintainability)](https://codeclimate.com/github/ColmTalbot/gwpopulation/maintainability)
        [![Test Coverage](https://api.codeclimate.com/v1/badges/579536603e8e06466e63/test_coverage)](https://codeclimate.com/github/ColmTalbot/gwpopulation/test_coverage) [![Versions](https://img.shields.io/pypi/pyversions/gwpopulation.svg)](https://pypi.org/project/gwpopulation/)
        
        # GWPopulation
        
        A collection of parametric binary black hole mass/spin population models.
        
        These are formatted to be consistent with the [Bilby](https://git.ligo.org/lscsoft/bilby) [hyper-parameter inference package](https://lscsoft.docs.ligo.org/bilby/hyperparameters.html).
        
        For an example using this code to analyse the first gravitational-wave transient catalog (GWTC-1) see [here](https://colab.research.google.com/github/ColmTalbot/gwpopulation/blob/master/examples/GWTC1.ipynb).
        
        Automatically generated docs can be found [here](https://colmtalbot.github.io/gwpopulation/).
        
        # Attribution
        
        Please cite [Talbot _et al_ (2019)](https://doi.org/10.1103/PhysRevD.100.043030) if you find this package useful.
        
        ```
        @ARTICLE{2019PhRvD.100d3030T,
               author = {{Talbot}, Colm and {Smith}, Rory and {Thrane}, Eric and
                 {Poole}, Gregory B.},
                title = "{Parallelized inference for gravitational-wave astronomy}",
              journal = {\prd},
                 year = 2019,
                month = aug,
               volume = {100},
               number = {4},
                  eid = {043030},
                pages = {043030},
                  doi = {10.1103/PhysRevD.100.043030},
        archivePrefix = {arXiv},
               eprint = {1904.02863},
         primaryClass = {astro-ph.IM},
        }
        ```
        
        Additionally, please consider citing the original references for the implemented models which should be include in docstrings.
        
        Most of the models implemented are derived from models presented in one of:
        - [Talbot & Thrane (2017)](https://arxiv.org/abs/1704.08370)
        - [Talbot & Thrane (2018)](https://arxiv.org/abs/1801.02699)
        - [Wysocki et al. (2018)](https://arxiv.org/abs/1805.06442)
        - [Fishbach et al. (2019)](https://arxiv.org/abs/1805.10270)
        
        As of v0.5.0 `GWPopulation` supports only `python >= 3.6`.
        See [the python 3 statement](https://python3statement.org/) for more information.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
