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Noise budget for ETpathfinder A and ETpathfinder B

Simple interactive examples for getting started with Finesse 3.

LVK Algorithm Library Suite

Documentation : Wiki

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

Infrastructure testing

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

LSC Algorithm Library Suite

Documentation : Wiki

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

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.

Scripts and libraries to do burst v/s CBC waveform reconstruction related studies.

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.

Calibration pipeline rewrite in python using the sgn framework.