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LSC Algorithm Library Suite

Perform Bayesian inference with Ψ₄ (Newman-Penrose scalar) data and/or model.

Code to numerically model coating (and substrate) thermal noise numerically. Currently supports computing Brownian coating and substrate thermal noise in amorphsc and crystalline materials.

The client library for the GWDataFind service | https://gwdatafind.readthedocs.io/

Clean version of research-projects, just with ILE

Channel metadata server for the NDS system.

This service is a component of the distributed NDS server. It tracks the history of channels over time. It has facilities to replicate data from other metadata servers and proxy information as well.

This is a repository for the auto generated noise budget in the lab. As this generates data in 15 minute chunks that will have quite a large size over time it is necessary to separate it from the main noise budge folder to keep that model lightweight

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 (PSD, prior distribution and posterior distribution) for Characterization of low-significance gravitational-wave compact binary sources [1810.10035].

Clean version of research-projects, just with ILE

The pipeline using mly to conduct a search of gravitational waves in GW detector data