A bot to supervise PE jobs using gitlab issues.

Toast: The neuTrOn stAr STacking package

Grid LSC User Environment

The paper describing Asimov

Minke is a Python package to produce Mock Data Challenge data sets for LIGO interferometers.

Tools for reconstruction comparisons

Collect reduced order quadrature bases for different cbc approximants for use in parameter estimation

Code for Bayesian population inference using Bilby.

Some experiments in a light weight set of libraries to consume the CDS data stream.

This repository contains the details, and links to results and other information for the mock data challenge for O4.

A Python library for generating synthetic parameter estimate (PE) posteriors for compact binaries.

This is intended to be used for quickly generating mock data, for the purpose of testing methods.

aLIGO automation platform

C/C++/Python/Matlab/Octave/Java clients for retrieving data from NDS servers.

This repository contains historic information, but for client 0.15.2 and earlier the SVN is considered canonical.

A simple module that implements detector and network objects along with logic to compute antenna responses (including the full frequency-dependent response).

Data release (PSD, prior distribution and posterior distribution) for Characterization of low-significance gravitational-wave compact binary sources [1810.10035].

A lightweight code to generate mock catalogs of gravitational wave sources/CBCs, from user-defined populations and arbitrary detector sensitivities. This includes mock parameter estimation of redshift and masses.