9 papers
Wavelet-Based Extraction of Transient Noise in Gravitational-Wave Interferometers using a Saliency-Guided Learning Architecture
Christopher Allene, Dhruv Kumar, Yusuke Sakai +2
Gravitational-wave interferometers exhibit a wide variety of short-duration non-Gaussian transients, commonly referred to as glitches, that complicate the detection of astrophysica…
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…
Regression of Suspension Violin Modes in KAGRA O3GK Data with Kalman Filters
Lucas Moisset, Marco Meyer-Conde, Christopher Allene +4
Suspension thermal modes in interferometric gravitational-wave detectors produce narrow, high-Q spectral lines that can contaminate gravitational searches and bias parameter estima…
Gravitational Wave Memory from Accelerating Relativistic Jets in Multiple Thick Shell Scenarios
Yusuke Sakai, Ryo Yamazaki, Yoshihiro Okutani +4
Gravitational wave (GW) memory, a permanent distortion of the space-time metric, is anticipated during the acceleration of relativistic jets in gamma-ray bursts (GRBs). While the p…
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,…
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…