Unsupervised learning architecture for classifying the transient noise of interferometric gravitational-wave detectors

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 in problems such as detector instability and the hiding and/or imitation of gravitational-wave signals. This transient n...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200730/
https://www.ncbi.nlm.nih.gov/pubmed/35705623
http://dx.doi.org/10.1038/s41598-022-13329-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200730/
https://www.ncbi.nlm.nih.gov/pubmed/35705623
http://dx.doi.org/10.1038/s41598-022-13329-4

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