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arXiv · 2205.09204

Simulating Transient Noise Bursts in LIGO with gengli

Melissa Lopez·Vincent Boudart·Stefano Schmidt·Sarah Caudill
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Abstract

In the field of gravitational-wave (GW) interferometers, the most severe limitation to the detection of transient signals from astrophysical sources comes from transient noise artefacts, known as glitches, that happens at a rate around $1$ per minute. Because glitches reduce the amount of scientific data available, there is a need for better modelling and inclusion of glitches in large-scale studies, such as stress testing the search pipelines and increasing the confidence of detection. In this work, we employ a Generative Adversarial Network (GAN) to produce a particular class of glitches ({\it blip}) in the time domain. We share the trained network through a user-friendly open-source software package called \texttt{gengli} and provide practical examples of its usage.

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Melissa Lopez, Vincent Boudart, Stefano Schmidt, Sarah Caudill. 2022-05-18. Simulating Transient Noise Bursts in LIGO with gengli. https://arxiv.org/abs/2205.09204

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