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I show that using the proper templates and data conditioning, the residual correlation following GW150914 claimed in Creswell, et al. (2017) vanishes.

LSC Algorithm Library Suite

Re-optimization of IFO parameters for the Aundha (aka LIGO India) interferometer

Repo for putting lightweight data and plotting routines from CIT CTN experiment.

Cloud syncing folders can go horribly wrong if/when one user corrupts/deletes all files.

This is not a place for putting large >250 MB data files.

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

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

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

A Python module for performing Bayesian inference for continuous gravitational-wave signals from pulsars.

LSC Algorithm Library Suite

Documentation : Wiki

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