A JAX-based gravitational-wave population inference toolkit for parametric models
-
Updated
Jun 13, 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.
Add a description, image, and links to the binary-black-holes topic page so that developers can more easily learn about it.
To associate your repository with the binary-black-holes topic, visit your repo's landing page and select "manage topics."