FIGARO - Fast Inference for GW Astronomy, Research & Observations

This page contains the documentation for FIGARO, along with a brief description of how to use it in your research project. Please refer to the GitHub issue tracker for bug reports (extremely appreciated), issues and contributions.
If you’re curious about the other projects I’m working on or if you want to get in touch with me, feel free to visit my website!

Statement of need

FIGARO is an inference code designed to estimate multivariate probability densities given samples from an unknown distribution using a Dirichlet Process Gaussian Mixture Model (DPGMM) as nonparameteric model, and to perform hierarchical non-parametric inferences: in this case, the model used is (H)DPGMM, described in Rinaldi & Del Pozzo (2022a).
This code, originally developed in the context of black hole population studies using gravitational-wave observations, take as input generic data and therefore it can be applied to a variety of studies beyond gravitational wave populations.

Indices and tables