3 papers
gr-qc2025
Glitch noise classification in KAGRA O3GK observing data using unsupervised machine learning
Shoichi Oshino, Yusuke Sakai, Marco Meyer-Conde +5
Gravitational wave interferometers are disrupted by various types of nonstationary noise, referred to as glitch noise, that affect data analysis and interferometer sensitivity. The…
gr-qc2025
Decadal upgrade strategy for KAGRA toward post-O5 gravitational-wave astronomy
KAGRA Collaboration, T. Akutsu, M. Ando +150
The KAGRA Collaboration has investigated a ten-year upgrade strategy for the KAGRA gravitational wave detector, considering a total of 14 upgrade options that vary in mirror mass,…
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…