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.

• UpdatedMar 19, 2025
• Python

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

• UpdatedJul 30, 2024
• Jupyter Notebook

A python package for Bayesian inference of gravitational-wave data

• UpdatedSep 26, 2018
• Python

Fourth Open Gravitational-wave Catalog of Compact Binary Mergers (4-OGC). Using the data from LIGO and Virgo from 2015-2020, a comprehensive catalog including 94 detected mergers (90 BBH, 2 BNS, 2 NSBH) and sub-threshold candidates throughout O1, O2, O3a, and O3b..

• UpdatedSep 13, 2022
• HTML

Repository for the PyCBC Inference workshop in Portsmouth, UK, 14 May - 16 May 2019.

• UpdatedJun 2, 2020
• Jupyter Notebook

Investigating the noise residuals around the gravitational wave event GW150914

• UpdatedApr 11, 2019
• Jupyter Notebook

First Open Gravitational-wave Catalog of Compact Binary Mergers from Advanced LIGO's first observing run.

• UpdatedDec 17, 2019
• Shell

Configuration files for the PyCBC-based online and offline searches.

• UpdatedSep 5, 2023
• Shell

Measuring the viewing angle of GW170817 with electromagnetic and gravitational waves

• UpdatedJul 10, 2018
• Jupyter Notebook

Data Release associated with the PyCBC Inference paper. This includes posterior samples for GW150914, LVT151012, and GW151226 along with configuration files and run scripts,

• UpdatedDec 7, 2018
• Jupyter Notebook

Interactive Web Apps to Explore Gravitational Waves

• UpdatedSep 15, 2021
• Jupyter Notebook

Supplementary materials for our GW-GRB search of the first observing run of advanced LIGO.

• UpdatedMay 3, 2019
• Jupyter Notebook

Scripts to reproduce the right hand plot shown in Figure 4 ofhttps://journals.aps.org/prl/abstract/10.1103/PhysRevLett.116.061102

• UpdatedFeb 8, 2021
• Shell

Results from the common equation of state constraint analysis of GW170817

• UpdatedAug 18, 2018
• Jupyter Notebook

Associated data release to the search for mergers of stellar-mass and sub-solar mass black holes

• UpdatedJul 9, 2020
• Jupyter Notebook

Matched filtering with pyCBC, Click -->

• UpdatedJul 29, 2020
• Jupyter Notebook

Data Release of posterior samples from PyCBC Inference analysis of the binary black-hole signals GW170104, GW170608 and GW170814 in Advanced LIGO-Virgo's second observing run. This repository also includes configuration files and run scripts to run the analyses.

• UpdatedApr 26, 2019
• Jupyter Notebook

• UpdatedApr 11, 2023
• HTML

Parameter estimates for the eccentricity of GW170817 and GW190425

• UpdatedAug 18, 2020

The Apple Silicon Gravitational-Wave Cluster project utilizes the power of Apple Silicon M2 processors to construct a high-performance cluster tailored for gravitational-wave astronomy.

• UpdatedDec 11, 2024
• Shell