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bilby icon bilby

BILBY- Bayesian parameter estimation of GW data analysis

bnsastro-zhuxj icon bnsastro-zhuxj

Astrophysical characterization of Binary Neutron Star mergers with gravitational waves

fermi-grb-timelag_data icon fermi-grb-timelag_data

This repository contains the code used to perform the analysis described in the paper "Bayesian evidence for spectral lag transition due to Lorentz Invariance Violation for 32 Fermi/GBM Gamma-ray Bursts" (https://www.sciencedirect.com/science/article/pii/S2214404823000460). The code is written in Python 3.10

gwbench icon gwbench

forked gwbench repo by s borhanian for parameter analysis

gwpe_visual_pesummary icon gwpe_visual_pesummary

Code to generate summary pages for Parameter Estimation results. Mirror of https://git.ligo.org/lscsoft/pesummary

gwpopulation icon gwpopulation

CPU/GPU agnostic gravitational-wave population inference

icarogw-gw-population icon icarogw-gw-population

Icarogw is a pure python package to estimate population properties of noisy observations in presence of selection biases. The code is mostly used for gravitational waves observations.

ns_birth_population icon ns_birth_population

The data and code available in paper "On the initial spin period distribution of neutron stars"

popodds-posterior-to-newprior-bf icon popodds-posterior-to-newprior-bf

Given samples from a posterior distribution inferred under some default prior, compute the Bayes factor or odds in favour of a new prior model.

pta-sgwb-12p5yr_stochastic_analysis icon pta-sgwb-12p5yr_stochastic_analysis

Analysis and tutorial materials associated with the NANOGrav Collaboration's search for an isotropic stochastic gravitational-wave background in 12.5-years of precision millisecond pulsar timing data.

pycbc icon pycbc

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.

wanghe-gw-data-analysis icon wanghe-gw-data-analysis

Gravitational Wave Data Exploration: A Practical Training in Programming and Analysis, Playing with Dr. Wang He

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