Flexible, extensible, hardware-agnostic gravitational-wave population inference.

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It provides:

• Simple use of GPU-acceleration via JAX and cupy.
• Implementations of widely used likelihood compatible with Bilby.
• A standard format for defining new population models.
• A collection of standard population models.

If you're using this on high-performance computing clusters, you may be interested in the associated pipeline code gwpopulation_pipe.

Please cite Talbot et al. (2019) if you use GWPopulation in your research.

@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.