Bilby: A User-friendly Bayesian Inference Library for Gravitational-wave Astronomy
Bilby: A User-friendly Bayesian Inference Library for Gravitational-wave Astronomy
Bayesian parameter estimation is fast becoming the language of gravitational-wave astronomy. 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 …