{"id":34020484,"url":"https://github.com/cosmostatgw/chimera","last_synced_at":"2026-04-08T12:02:29.941Z","repository":{"id":211479066,"uuid":"642734921","full_name":"CosmoStatGW/CHIMERA","owner":"CosmoStatGW","description":"Combined Hierarchical Inference Model for Electromagnetic and gRavitational Wave 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alt=\"CHIMERA\" width=300px\u003e\n\n\n**CHIMERA** is a hierarchical Bayesian pipeline for standard siren cosmology with gravitational wave data alone or in combination with galaxy catalogs.\n\nThe latest version delivers 10-1000× speedup through JAX and GPU acceleration, enabling the analysis of thousands of events for next-generation gravitational wave observatories.\n\n[![GitHub](https://img.shields.io/badge/GitHub-CHIMERA-9e8ed7)](https://github.com/CosmoStatGW/CHIMERA/)\n[![arXiv](https://img.shields.io/badge/arXiv-2106.14894-5185C4)](https://arxiv.org/abs/2106.14894)\n[![arXiv](https://img.shields.io/badge/arXiv-2504.02034-45bbd5)](https://arxiv.org/abs/2504.02034)\n[![Read the Docs](https://readthedocs.org/projects/chimera-gw/badge/?version=latest)](https://chimera-gw.readthedocs.io/en/latest/?badge=latest)\n[![License](https://img.shields.io/badge/license-GPLv3-fb7e21)](https://github.com/CosmoStatGW/CHIMERA/blob/main/LICENSE)\n[![GitLab](https://img.shields.io/github/v/tag/CosmoStatGW/CHIMERA?label=latest-release\u0026color=da644d)](https://github.com/CosmoStatGW/CHIMERA/releases)\n\n## Documentation\n\nThe full documentation is hosted at [chimera-gw.readthedocs.io](https://chimera-gw.readthedocs.io)\n\n## Quick start installation\n\nThe code can be quikly installed from [Pypi](https://pypi.org/project/chimera-gw/):\n\n    pip install chimera-gw\n\nFor more flexibility, clone the source repository into your working folder and install it locally:\n\n    git clone https://github.com/CosmoStatGW/CHIMERA\n    cd CHIMERA/\n    pip install -e .\n\nTo test the installation, run the following command:\n\n    python -c \"import CHIMERA; print(CHIMERA.__version__)\"\n\nThese instructions install **CHIMERA** with a CPU-only version of JAX. For GPU support, first install JAX with a GPU backend following the [official installation guide](https://jax.readthedocs.io/en/latest/installation.html)), then proceed with the **CHIMERA** installation.\n\nFor HPC systems with GPU nodes, see the [HPC and GPU installation guide](https://chimera-gw.readthedocs.io/en/latest/user_guide/hpc_gpu_installation.html).\n\n\n## Citation\n\nIf you find this code useful in your research, please cite the following papers:\n\n- Borghi et al. 2024 ([ADS](https://ui.adsabs.harvard.edu/abs/2024ApJ...964..191B/abstract), [arXiv](https://arxiv.org/abs/2312.05302), [INSPIRE](https://inspirehep.net/literature/2734729))\n- Tagliazucchi et al. 2025 ([ADS](https://ui.adsabs.harvard.edu/abs/2025arXiv250402034T/abstract), [arXiv](https://arxiv.org/abs/2504.02034), [INSPIRE](https://inspirehep.net/literature/2907634)):\n\n\n\nBibTeX from INSPIRE:\n\n    @article{Borghi:2023opd,\n        author = \"Borghi, Nicola and Mancarella, Michele and Moresco, Michele and Tagliazucchi, Matteo and Iacovelli, Francesco and Cimatti, Andrea and Maggiore, Michele\",\n        title = \"{Cosmology and Astrophysics with Standard Sirens and Galaxy Catalogs in View of Future Gravitational Wave Observations}\",\n        eprint = \"2312.05302\",\n        archivePrefix = \"arXiv\",\n        primaryClass = \"astro-ph.CO\",\n        doi = \"10.3847/1538-4357/ad20eb\",\n        journal = \"Astrophys. J.\",\n        volume = \"964\",\n        number = \"2\",\n        pages = \"191\",\n        year = \"2024\"\n    }\n\n    @article{Tagliazucchi:2025ofb,\n        author = \"Tagliazucchi, Matteo and Moresco, Michele and Borghi, Nicola and Fiebig, Manfred\",\n        title = \"{Accelerating the standard siren method: Improved constraints on modified gravitational-wave propagation with future data}\",\n        eprint = \"2504.02034\",\n        archivePrefix = \"arXiv\",\n        primaryClass = \"astro-ph.CO\",\n        doi = \"10.1051/0004-6361/202554827\",\n        journal = \"Astron. Astrophys.\",\n        volume = \"702\",\n        pages = \"A244\",\n        year = \"2025\"\n    }\n\n\n## Contributions\nCHIMERA is actively maintained at the *University of Bologna* by: [Nicola Borghi (nicola.borghi6@unibo.it)](https://orcid.org/0000-0002-2889-8997), [Matteo Tagliazucchi (matteo.tagliazucchi2@unibo.it)](https://orcid.org/0009-0003-8886-3184), and\n[Michele Moresco (michele.moresco@unibo.it)](https://orcid.org/0000-0002-7616-7136).\n\nMichele Mancarella, Francesco Iacovelli and Michele Maggiore contributed to the development of the first version of the code.\n\nThe development of CHIMERA has also been supported from the work of Master's thesis students at the University of Bologna (in reverse chronological order):\n\n- *Martina Mori* (2025, [thesis](https://amslaurea.unibo.it/id/eprint/36127/)): optimizing the extraction of information from future GW data\n- *Giulia Cuomo* (2025, [thesis](https://amslaurea.unibo.it/id/eprint/35185/)): incompleteness function and application to GWTC-3 data\n- *Manfred Fiebig* (2025, [thesis](https://amslaurea.unibo.it/id/eprint/34082/)): modified GW propagation function and forecasts for LVK-O5\n- *Niccolò Passaleva* (2024, [thesis](https://amslaurea.unibo.it/id/eprint/30896/)): mass function models and inference with nested sampling\n- *Matteo Schulz* (2024, [thesis](https://amslaurea.unibo.it/id/eprint/27607/)): mass function models and cosmological analysis\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcosmostatgw%2Fchimera","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcosmostatgw%2Fchimera","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcosmostatgw%2Fchimera/lists"}