GWPopulation: Hardware agnostic population inference for compact binaries and beyond
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916405676343296 |
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| author | Talbot, Colm Farah, Amanda Galaudage, Shanika Golomb, Jacob Tong, Hui |
| author_facet | Talbot, Colm Farah, Amanda Galaudage, Shanika Golomb, Jacob Tong, Hui |
| contents | Since the first direct detection of gravitational waves by the LIGO--Virgo collaboration in 2015, the size of the gravitational-wave transient catalog has grown to nearly 100 events, with more than as many observed during the ongoing fourth observing run. Extracting astrophysical/cosmological information from these observations is a hierarchical Bayesian inference problem. GWPopulation is designed to provide simple-to-use, robust, and extensible tools for hierarchical inference in gravitational-wave astronomy/cosmology. It has been widely adopted for gravitational-wave astronomy, including producing flagship results for the LIGO-Virgo-KAGRA collaborations. While designed to work with observations of compact binary coalescences, GWPopulation may be available to a wider range of hierarchical Bayesian inference problems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_14143 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | GWPopulation: Hardware agnostic population inference for compact binaries and beyond Talbot, Colm Farah, Amanda Galaudage, Shanika Golomb, Jacob Tong, Hui Instrumentation and Methods for Astrophysics General Relativity and Quantum Cosmology Since the first direct detection of gravitational waves by the LIGO--Virgo collaboration in 2015, the size of the gravitational-wave transient catalog has grown to nearly 100 events, with more than as many observed during the ongoing fourth observing run. Extracting astrophysical/cosmological information from these observations is a hierarchical Bayesian inference problem. GWPopulation is designed to provide simple-to-use, robust, and extensible tools for hierarchical inference in gravitational-wave astronomy/cosmology. It has been widely adopted for gravitational-wave astronomy, including producing flagship results for the LIGO-Virgo-KAGRA collaborations. While designed to work with observations of compact binary coalescences, GWPopulation may be available to a wider range of hierarchical Bayesian inference problems. |
| title | GWPopulation: Hardware agnostic population inference for compact binaries and beyond |
| topic | Instrumentation and Methods for Astrophysics General Relativity and Quantum Cosmology |
| url | https://arxiv.org/abs/2409.14143 |