Glitch Flow: A Digital Twin to simulate transient noise in the Virgo interferometer

This poster presents the work done in the Work Package 4.4 of the InterTwin project.

In the realm of gravitational-wave detection, the major challenge to reach high detection accuracy comes from non-Gaussian transient noise artifacts, commonly referred to as glitches.These anomalies bear striking resemblance to astrophysical signals in both the time and frequency domains, and, unfortunately, pervade the entirety of the dataset.

In our work, we exploit deep generative algorithms to model and generate glitches in the strain (or main) channel from carefully chosen auxiliary channels using Virgo data. Such generated glitches can then be used for denoising and vetoing purposes by subtracting them from the main channel, thus uncovering the physically interesting data.