From the 1 of 67 papers with an AI index.
362 citations
- The University of TokyoJP61 papers
- High Energy Accelerator Research OrganizationJP53 papers
- Yonsei UniversityKR53 papers
- Hanyang UniversityKR52 papers
- Osaka City UniversityJP52 papers
- Nagoya UniversityJP51 papers
- Sungkyunkwan UniversityKR51 papers
- The Graduate University for Advanced Studies, SOKENDAIJP51 papers
- Budker Institute of Nuclear PhysicsRU50 papers
- Charles UniversityCZ50 papers
- Deutsches Elektronen-Synchrotron DESYDE50 papers
- Indian Institute of Technology MadrasIN50 papers
Showing gr-qcShow all
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gr-qc2025
Identification of Noise-Associated Glitches in KAGRA O3GK with Hveto
T. Akutsu, M. Ando, M. Aoumi +148
Transient noise ("glitches") in gravitational wave detectors can mimic or obscure true signals, significantly reducing detection sensitivity. Identifying and excluding glitch-conta…
gr-qc2022★ 10 cited
Training Process of Unsupervised Learning Architecture for Gravity Spy Dataset
Yusuke Sakai, Yousuke Itoh, Piljong Jung +11
Transient noise appearing in the data from gravitational-wave detectors frequently causes problems, such as instability of the detectors and overlapping or mimicking gravitational-…
gr-qc2021★ 21 cited
Unsupervised Learning Architecture for Classifying the Transient Noise of Interferometric Gravitational-wave Detectors
Yusuke Sakai, Yousuke Itoh, Piljong Jung +11
In the data obtained by laser interferometric gravitational wave detectors, transient noise with non-stationary and non-Gaussian features occurs at a high rate. This often results…