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Tiago Fernandes02/10/2026, 16:30Contributed Talk (20 minutes)
Glitches frequently contaminate data in gravitational-wave detectors, complicating the observation and analysis of astrophysical signals. This work introduces VIGILant, an automatic pipeline for classification and visualization of glitches in the Virgo detector. Using a curated dataset of Virgo O3b glitches, two machine learning approaches are evaluated: tree-based models (Decision Tree,...
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Annalisa Berti (Laboratory of Instrumentation and Experimental Particle Physics (PT))02/10/2026, 16:50Contributed Talk (20 minutes)
Anomaly Detection (AD) has recently emerged as a promising approach to the analysis of data collected at the Large Hadron Collider (LHC) in the search for phenomena beyond the Standard Model (SM) of particle physics. AD methods rely on the use of machine learning techniques to learn the characteristics of well-understood Standard Model processes and identify events that exhibit significant...
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