Using t-SNE for characterizing glitches in LIGO detectors

Glitches are non-Gaussian noise transients originating from environmental and instrumental sources that contaminate data from gravitational wave detectors. Some glitches can even mimic gravitational wave signals from compact object mergers, which are the primary targets of terrestrial observatories. In this study, we present a method to analyze noise transients from the LIGO observatories using Q-transform information combined with t-Distributed Stochastic Neighbor Embedding (t-SNE). We implement classification techniques, examine the influence of parameters on glitch classification, and conduct a week-long daily analysis to track outlier transients over time.