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CHIMERA

CHIMERA#

CHIMERA (Combined Hierarchical Inference Model for Electromagnetic and gRavitational-wave Analysis), is a flexible Python code to analyze standard sirens with galaxy catalogs, allowing for a joint fitting of the cosmological and astrophysical population parameters within a Hierarchical Bayesian Inference framework.

GitHub arXiv Documentation Status License Release

Installation#

The code can be quikly installed from Pypi:

pip install chimera-gw

For more flexibility, clone the source repository into your working folder and install it locally:

git clone https://github.com/CosmoStatGW/CHIMERA
cd CHIMERA/
pip install -e .

To test the installation, run the following command:

python -c "import CHIMERA; print(CHIMERA.__version__)"

License & Attribution#

CHIMERA is free software made available under the MIT License. For details see the LICENSE.

If you find this code useful in your research, please cite the following paper (ADS, arXiv, INSPIRE):

@ARTICLE{2023arXiv231205302B,
    author = {{Borghi}, Nicola and {Mancarella}, Michele and {Moresco}, Michele and et al.},
    title = "{Cosmology and Astrophysics with Standard Sirens and Galaxy Catalogs in View of Future Gravitational Wave Observations}",
    journal = {arXiv e-prints},
    keywords = {Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, General Relativity and Quantum Cosmology},
    year = 2023,
    month = dec,
    eid = {arXiv:2312.05302},
    pages = {arXiv:2312.05302},
    doi = {10.48550/arXiv.2312.05302},
    archivePrefix = {arXiv},
    eprint = {2312.05302},
    primaryClass = {astro-ph.CO},
    adsurl = {https://ui.adsabs.harvard.edu/abs/2023arXiv231205302B},
    adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

The team#

Core team

Contributors

The code was developed starting from CosmoStatGW/DarkSirensStat (Finke et al. 2019) and CosmoStatGW/MGCosmoPop (Mancarella et al. 2021).

Documentation#

User Guide

Tutorials

Python APIs

Contents