Package for analysing and characterising gravitational wave data in python

Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.

Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.

Python library to easily create and manipulate MOCs (Multi-Order Coverage maps)

a python package for gravitational wave analysis with the F-statistic

Make gravitational waves visible in an interactive iPad simulation.

Package for making predictions about stellar-origin sources in space-based gravitational wave detectors

Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)

Astrostatistics class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)

An interactive demonstration of matched filtering with some examples using real gravitational-wave data and your computer's audio.

A Fisher information matrix python package for GW detector networks.

Mirror of Official GWOSC Client project

Massive Black-Hole Binary Population Synthesis for Gravitational Wave Calculations ≋●≋●≋

A code for simulating gravitational waves and evaluating their detectability.

Localization of gravitational-wave transients. Mirror of https://git.ligo.org/lscsoft/ligo.skymap

Bayesian Jenaer software

This will be the first official public release of the VItamin code base. VItamin is a python package for producing fast gravitational wave posterior samples.

Surrogate Final BH properties

Defining eccentricity for GW astronomy

Detecting binary black hole mergers in LIGO with neural networks