Training Process of Unsupervised Learning Architecture for Gravity Spy Dataset

Transient noise appearing in the data from gravitational-wave detectors frequently causes problems, such as instability of the detectors and overlapping or mimicking gravitational-wave signals. Because transient noise is considered to be associated with the environment and instrument, its classifica...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2022-08
Hauptverfasser:	Sakai, Yusuke, Itoh, Yousuke, Jung, Piljong, Kokeyama, Keiko, Kozakai, Chihiro, Nakahira, Katsuko T, Oshino, Shoichi, Shikano, Yutaka, Takahashi, Hirotaka, Uchiyama, Takashi, Ueshima, Gen, Washimi, Tatsuki, Yamamoto, Takahiro, Yokozawa, Takaaki
Format:	Artikel
Sprache:	eng
Schlagworte:	Clustering Data analysis Datasets Deep learning Detectors Gravitational waves Image classification Machine learning Physics - General Relativity and Quantum Cosmology Statistics - Machine Learning Training Unsupervised learning
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!