535 citations · 2.1k across the 40 of their papers we have counts for
35 papers · 1 filter
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…
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-…
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…
Overview of KAGRA : KAGRA science
KAGRA Collaboration, T. Akutsu, M. Ando +240
KAGRA is a newly build gravitational-wave observatory, a laser interferometer with 3 km arm length, located in Kamioka, Gifu, Japan. In this paper in the series of KAGRA-featured a…
Current status of space gravitational wave antenna DECIGO and B-DECIGO
Seiji Kawamura, Masaki Ando, Naoki Seto +84
Deci-hertz Interferometer Gravitational Wave Observatory (DECIGO) is the future Japanese space mission with a frequency band of 0.1 Hz to 10 Hz. DECIGO aims at the detection of pri…
Prospects for improving the sensitivity of KAGRA gravitational wave detector
Yuta Michimura, Masaki Ando, Eleonora Capocasa +22
KAGRA is a new gravitational wave detector which aims to begin joint observation with Advanced LIGO and Advanced Virgo from late 2019. Here, we present KAGRA's possible upgrade pla…