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.
Installation#
CHIMERA can be installed using Pypi:
pip install chimera-gw
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{Borghi2022a,
author = {{Borghi}, Nicola and {Moresco}, Michele and {Cimatti}, Andrea and et al.},
title = "{Toward a Better Understanding of Cosmic Chronometers: Stellar Population Properties of Passive Galaxies at Intermediate Redshift}",
journal = {ApJ},
year = 2022,
month = mar,
volume = {927},
pages = {164},
doi = {10.3847/1538-4357/ac3240},
eprint = {2106.14894},
adsurl = {https://ui.adsabs.harvard.edu/abs/2022ApJ...927..164B},
}
The team#
Core team
Nicola Borghi (main developer, nicola.borghi6@unibo.it)
Contributors
Niccolò Passaleva
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