Characterising Transient Noise in the LIGO Detectors

Abstract

Data from the LIGO detectors typically contain many non-Gaussian noise transients which arise due to instrumental and environmental conditions. These non-Gaussian transients can be an issue for the modelled and unmodelled transient gravitational-wave searches, as they can mask or mimic a true signal. Data quality can change quite rapidly, making it imperative to track and find new sources of transient noise so that data are minimally contaminated. Several examples of transient noise and the tools used to track them are presented. These instances serve to highlight the diverse range of noise sources present at the LIGO detectors during their second observing run.

9 pages, 3 figures, presented at a discussion meeting "Promises of gravitational wave astronomy" held at the Royal Society London, 11 September 2017

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• Advanced Virgo: a 2nd generation interferometric gravitational wave detector
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• LIGO Detector Characterization in the Second and Third Observing Runs
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• PyCBC Live: Rapid Detection of Gravitational Waves from Compact Binary Mergers
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• Environmental Noise in Advanced LIGO Detectors
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• GWTC-4.0: Updating the Gravitational-Wave Transient Catalog with Observations from the First Part of the Fourth LIGO-Virgo-KAGRA Observing Run
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• Utilizing aLIGO Glitch Classifications to Validate Gravitational-Wave Candidates
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• ArchEnemy: Removing scattered-light glitches from gravitational wave data
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• Improved Binary Black Hole Search Discriminator from the Singular Value Decomposition of Non-Gaussian Noise Transients
• Using machine learning to auto-tune chi-squared tests for gravitational wave searches
• Dark Matter Clumps as Sources of Gravitational-Wave Glitches in LIGO/Virgo/KAGRA data