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Tutorial for Bilby
Bilby is a user-friendly Bayesian inference library developed Gregory Ashton and others [1]
The aim of bilby is to provide a user-friendly interface to perform parameter estimation. It is primarily designed and built for inference of compact binary coalescence events in interferometric data, but it can also be used for more general problems.
The NMMA package is a multi-messenger python framework developed by Peter T. H. Pang and provides a possibility to perform multi-messenger inference related tasks. The framework is still under active development.
Last modified: le 2022/02/05 11:24
