Metadata-Version: 1.1
Name: gwpopulation
Version: 0.4.0
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)
        
        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).
        
        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)
        
        Automatically generated docs can be found [here](https://colmtalbot.github.io/gwpopulation/).
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
