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LVK Algorithm Library Suite

Documentation : Wiki

DOI: https://doi.org/10.7935/GT1W-FZ16

Python implementation of the STAMP pipeline to search for un-modelled, long-duration GW signals

LIGO Academic Advisory Committee (LAAC) tutorial for the LVC meeting 2019 on Parameter Estimation (PE) of gravitational waves signals, from detection (online) to post-processing (offline).

Python library with tools to generate datasets, machine learning algorithms and test the performance of those algorithms

Low-level inspiral-focused likelihood and other statistical utilities.

Strong LENsing IDentification using machine learning with Qtranforms and Bayestar skymaps of the binary black hole mergers.

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

Simple code and demonstration of fitting for the mean and scatter of a population of observations; I focus on the use case of testing GR using GW observations by aggregating posterior samples over events and fitting a Gaussian population.

Implement marginalisation over waveform uncertainties in NRSurrogates