An open-source JAX-based gravitational-wave population inference toolkit for parametric models
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Updated
Jan 7, 2026 - Python
An open-source JAX-based gravitational-wave population inference toolkit for parametric models
Package for data-driven and phenomenological gravitational waveform models
extrapops: fast simulation and analysis of extra-galactic binary GW sources
Sage - Detection of gravitational-waves using machine learning
Python package to analyze post-merger signal with late-time tails
A unified interface to various catalogs of Numerical Relativity simulations of compact binary mergers.
Data analysis of a set of simulated binary black holes, with the aim of understanding the differences between the evolution via common envelope and the evolution via stable mass transfer.
Study of the delay time distribution of binary compact object, model them and use of the random forest method to predict them.
A computational analysis of LIGO open data (GW150914) using spectral whitening and Q-transforms to detect binary black hole mergers.
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