A JAX-based gravitational-wave population inference toolkit for parametric models
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Updated
Sep 1, 2026 - Python
A JAX-based gravitational-wave population inference toolkit for parametric models
Package for data-driven and phenomenological gravitational waveform models
End-to-end deep learning pipeline for gravitational-wave signal detection
extrapops: fast simulation and analysis of extra-galactic binary GW sources
Python package to analyze post-merger signal with late-time tails
Study of the delay time distribution of binary compact object, model them and use of the random forest method to predict them.
A unified interface to various catalogs of Numerical Relativity simulations of compact binary mergers.
A computational analysis of LIGO open data (GW150914) using spectral whitening and Q-transforms to detect binary black hole 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.
Public reproducibility archive for an eight-branch audit of dependency, provenance, and inference boundaries across gravitational-wave binary black-hole analyses.
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