https://github.com/a-renzini/gwpopulation
CPU/GPU agnostic gravitational-wave population inference
Science Score: 23.0%
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CPU/GPU agnostic gravitational-wave population inference
Basic Info
- Host: GitHub
- Owner: a-renzini
- License: mit
- Default Branch: master
- Size: 10.1 MB
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Fork of jacobgolomb/gwpopulation
Created about 2 years ago
· Last pushed about 2 years ago
https://github.com/a-renzini/gwpopulation/blob/master/
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[](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/).
If you're using this for production analyses, you may be interested in the associated pipeline code [gwpopulation_pipe](https://docs.ligo.org/RatesAndPopulations/gwpopulation_pipe/).
# 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)
Owner
- Name: Arianna Renzini
- Login: a-renzini
- Kind: user
- Repositories: 7
- Profile: https://github.com/a-renzini