Waves in a forest: a random forest classifier to distinguish between gravitational waves and detector glitches

• Published in: Classical and quantum gravity Vol. 40; no. 23; pp. 235008 - 235022
• Main Authors: Shah, Neev, Knee, Alan M, McIver, Jess, Stenning, David C
• Format: Journal Article
• Language: English
• Published: IOP Publishing 30.12.2023
• Subjects: gravitational waves; machine learning; parameter estimation; random forests

Abstract The LIGO-Virgo-KAGRA (LVK) network of gravitational-wave (GW) detectors have observed many tens of compact binary mergers to date. Transient, non-Gaussian noise excursions, known as ‘glitches’, can impact signal detection in various ways. They can imitate true signals as well as reduce the...