Package for analysing and characterising gravitational wave data in python
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Updated
May 13, 2024 - Python
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.
Python library to easily create and manipulate MOCs (Multi-Order Coverage maps)
a python package for gravitational wave analysis with the F-statistic
Package for making predictions about stellar-origin sources in space-based gravitational wave detectors
A Fisher information matrix python package for GW detector networks.
Massive Black-Hole Binary Population Synthesis for Gravitational Wave Calculations ≋●≋●≋
Mirror of Official GWOSC Client project
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
Python/numba code for manipulating time-dependent functions of spin-weighted spherical harmonics on future null infinity
A python package for Bayesian inference of gravitational-wave data
Find gravitational wave signals from binary black hole collisions.
Modified Gravity and Cosmology with Binary Black Holes' Population models : hierarchical bayesian inference package for constraining the Hubble constant, modified GW propagation and BBH population models with GWs.
A simulation-based Inference (SBI) library designed to perform analysis on a wide class of gravitational wave signals
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