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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.

LVK Algorithm Library Suite

Documentation : Wiki

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

Asimov data files

Arrakis server implementation in python

LVK Algorithm Library Suite

Documentation : Wiki

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