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astro-ph.IM2026
Rapid data quality investigations of gravitational-wave events with the Data Quality Report Builder toolkit
Derek Davis, Zach Yarbrough, Joseph Areeda +30
We present the Data Quality Report Builder toolkit, DQRbuild, a suite of data quality tools that have been developed to vet gravitational-wave events in preparation for the fourth…
astro-ph.IM2026
ArchGEM: an Advanced Data Analysis Tool for Analyzing Scattered Light Noise in LIGO
Kaylah McGowan, Shania Nichols, Siddharth Soni +4
Scattered light is one of the most common sources of non-stationary noise at low frequencies in Advanced LIGO detectors. It appears as arch-like features in time-frequency spectrog…
astro-ph.IM2026
The Sound of Noise: Leveraging the Inductive Bias of Pre-trained Audio Transformers for Glitch Identification in LIGO
Suyash Deshmukh, Chayan Chatterjee, Abigail Petulante +2
Transient noise artifacts, or glitches, fundamentally limit the sensitivity of gravitational-wave (GW) interferometers and can mimic true astrophysical signals, particularly the sh…