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Simple interactive examples for getting started with Finesse 3.

Infrastructure testing

A simple and reliable package for annotating and orchestrating LIGO/Virgo alerts, built from widely used open source components.

This project aims to analyze and classify glitches in the Virgo detector gravitational wave data using Machine Learning techniques. The main goal is to study glitch morphology, explore correlations between different glitch types, and contribute to a deeper understanding of detector noise sources.

This project aims to analyze and classify glitches in the Virgo detector gravitational wave data using Machine Learning techniques. The main goal is to study glitch morphology, explore correlations between different glitch types, and contribute to a deeper understanding of detector noise sources.

Deployment specs to initialise a Rucio deployment. Based on https://github.com/tbeerman/rucio-k8s-tutorial.

Python library to distribute IGWN low latency data

Optimized cython implementations of specific Bilby operations

Pipeline for running GWPopulation

Tokens are created on demand by the SciTokens to access LVK h(t) aggregated data.

LSC Algorithm Library Suite

Documentation : Wiki

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

Quantum Bayesian waveform estimation

Project avatar taken with permission from https://pixabay.com/photos/rodrigues-fruit-bat-bat-animal-7523361/

GPS-aware Python datetime module

Python library to distribute IGWN low latency data

ETpathfinder cable database (mobile friendly). Currently in beta.