Bilby: A User-friendly Bayesian Inference Library for Gravitational-wave Astronomy

🤖 Plain-English Summary

Bayesian parameter estimation is fast becoming the language of gravitational-wave astronomy. BILBY has additional functionality to do population studies using hierarchical Bayesian modeling.

🔑 Key Findings

• It is the method by which gravitational-wave data is used to infer the sources' astrophysical properties.
• We introduce a user-friendly Bayesian inference library for gravitational-wave astronomy, BILBY.
• This PYTHON code provides expert-level parameter estimation infrastructure with straightforward syntax and tools that facilitate use by beginners.

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