2 papers
gr-qc2025
Hunting for new glitches in LIGO data using community science
E Mackenzie, C P L Berry, G Niklasch +5
Data from ground-based gravitational-wave detectors like LIGO contain many types of noise. Glitches are short bursts of non-Gaussian noise that may hinder our ability to identify o…
gr-qc2021
Discovering features in gravitational-wave data through detector characterization, citizen science and machine learning
S Soni, C P L Berry, S B Coughlin +18
The observation of gravitational waves is hindered by the presence of transient noise (glitches). We study data from the third observing run of the Advanced LIGO detectors, and ide…