An open-source JAX-based gravitational-wave population inference toolkit for parametric models ✴️
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Updated
Jul 30, 2024 - Python
An open-source JAX-based gravitational-wave population inference toolkit for parametric models ✴️
Code to estimate the Gravitational Wave Background sourced by extragalactic coalescing White Dwarf binaries.
Mirror of official GWpy project on GitLab
Detecting GW signals from extreme mass ratio inspirals using convolutional autoencoders
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.
A unified interface to various catalogs of Numerical Relativity simulations of compact binary mergers.
Homepage for the GWpy project
Triple stellar evolution code
Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.
Localization of gravitational-wave transients. Mirror of https://git.ligo.org/lscsoft/ligo.skymap
Python library to easily create and manipulate MOCs (Multi-Order Coverage maps)
A Machine Learning model for generating gravitational waves
Asimov is an application and library for the automation and orchestration of scientific data analyses
Gravitational wave volume visualizations
Gravitational-wave interferometer summary information system
GW Detector Characterization python utilities
Source code for the website of hyperboloidal research.
Non-member access to The Gravitational-Wave Candidate Event Database via GraceDB REST API
An astronomical event listener and data analysis library
A code for simulating gravitational waves and evaluating their detectability.
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