5 citations · 5 across the 3 of their papers we have counts for
4 papers
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…
Parameter estimation of protoneutron stars from gravitational wave signals using the Hilbert-Huang transform
Seiya Sasaoka, Yusuke Sakai, Diego Dominguez +5
Core-collapse supernovae (CCSNe) are potential multimessenger events detectable by current and future gravitational wave (GW) detectors. The GW signals emitted during these events…