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**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.
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.. The code is designed to be accurate for different scenarios, encompassing bright, dark, and spectral sirens methods, and computationally efficient in view of next-generation GW observatories and galaxy surveys. It uses the LAX-backend implementation and Just In Time (JIT) computation capabilities of JAX.
The code was developed starting from https://github.com/CosmoStatGW/DarkSirensStat (`Finke et al. 2019 <https://orcid.org/0000-0002-2889-8997>`_) and https://github.com/CosmoStatGW/MGCosmoPop (`Mancarella et al. 2021 <https://orcid.org/0000-0002-2889-8997>`_).
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