PEREGRINE-GW/peregrine
A simulation-based Inference (SBI) library designed to perform analysis on a wide class of gravitational wave signals
This helps astrophysicists and gravitational wave researchers analyze complex gravitational wave signals from cosmic events. It takes raw detector data or simulated gravitational wave signals and efficiently determines the underlying astrophysical parameters of the source, such as the mass and spin of merging black holes. It's designed for scientists studying the universe through gravitational wave astronomy.
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Use this if you need to quickly and efficiently infer astrophysical parameters from gravitational wave observations without needing an explicit likelihood function.
Not ideal if your primary focus is on signals other than gravitational waves or if you prefer traditional, likelihood-based sampling methods.
Stars
17
Forks
6
Language
Python
License
MIT
Category
Last pushed
Feb 06, 2025
Commits (30d)
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