Flexible, extensible, hardware-agnostic gravitational-wave population inference.
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.
Attribution
Please cite Talbot et al. (2025) if you use GWPopulation in your research.
@article{Talbot2025,
author = {Colm Talbot and Amanda Farah and Shanika Galaudage and Jacob Golomb and Hui Tong},
title = {GWPopulation: Hardware agnostic population inference for compact binaries and beyond},
journal = {Journal of Open Source Software},
doi = {10.21105/joss.07753},
url = {https://doi.org/10.21105/joss.07753},
year = {2025},
publisher = {The Open Journal},
volume = {10},
number = {109},
pages = {7753},
archivePrefix = {arXiv},
eprint = {2409.14143},
primaryClass = {astro-ph.IM},
}
The older citation can also be included for the initial proof-of-principle for the application of hardware acceleration Talbot et al. (2019).
@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.
1 maintainer
Metadata
1 maintainer
Release files for gwpopulation 1.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gwpopulation-1.3.1.tar.gz | 6.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gwpopulation-1.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.8 MB
Release files / gwpopulation-1.3.1.tar.gz
| Download URL | gwpopulation-1.3.1.tar.gz |
|---|---|
| Size | 6.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1832e81a05d7abfad4587fb0bf965fe8d30301442f172eb6d0c6541fafc315d7
|
|
BLAKE2b-256 checksum How to use checksums |
bbf053be4067938b2fe4553248973ef0c8b3aa722550513cd63bc94444949af3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Dec 15, 2025.
Transparency logRelease files / gwpopulation-1.3.1-py3-none-any.whl
| Download URL | gwpopulation-1.3.1-py3-none-any.whl |
|---|---|
| Size | 6.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8ac16e88b56adf74d11cf2071468cbcf47e3a3895e10214cd777696fc4483935
|
|
BLAKE2b-256 checksum How to use checksums |
4c69251adebb57b08648cfd6b550257654a8d804345be9de1eca9c412d4c2c04
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Dec 15, 2025.
Transparency log
