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        "author": "Colm Talbot",
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            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.6",
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        "description": "[![Build Status](https://travis-ci.com/ColmTalbot/gwpopulation.svg?branch=master)](https://travis-ci.com/ColmTalbot/gwpopulation)\n[![Maintainability](https://api.codeclimate.com/v1/badges/579536603e8e06466e63/maintainability)](https://codeclimate.com/github/ColmTalbot/gwpopulation/maintainability)\n[![Test Coverage](https://api.codeclimate.com/v1/badges/579536603e8e06466e63/test_coverage)](https://codeclimate.com/github/ColmTalbot/gwpopulation/test_coverage)\n\nA collection of parametric binary black hole mass/spin population models.\n\nThese 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).\n\nFor 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).\n\nMost of the models implemented are derived from models presented in one of:\n- [Talbot & Thrane (2017)](https://arxiv.org/abs/1704.08370)\n- [Talbot & Thrane (2018)](https://arxiv.org/abs/1801.02699)\n- [Wysocki et al. (2018)](https://arxiv.org/abs/1805.06442)\n- [Fishbach et al. (2019)](https://arxiv.org/abs/1805.10270)\n\nAutomatically generated docs can be found [here](https://colmtalbot.github.io/gwpopulation/).\n\n\n",
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