Accès ouvert déclaré
2023
article
Noise subtraction from KAGRA O3GK data using Independent Component Analysis
Hiroshi Abe, T. Akutsu, Masaki Ando, A. Araya, N. Aritomi, Hideki Asada, Y. Aso, S. Bae, Y Bae, R. Bajpai, K. C. Cannon, Z. Cao, E. Capocasa, M. Chan, C. Chen, D. Chen, Kunde Chen, Yuyan Chen, C-Y. Chiang, S. Eguchi, M. Eisenmann, Yutaro Enomoto, R. Flaminio, H. K. Fong, Yoshinori Fujii, Y. Fujikawa, Y. Fujimoto, Isao Fukunaga, D. Gao, G-G Ge, S. Ha, I. P. W. Hadiputrawan, S. Haino, Wen-Biao Han, K. Hasegawa, Kentaro Hattori, H. Hayakawa, K. Hayama, Y. Himemoto, N. Hirata, C. Hirose, T-C. Ho, B-H. Hsieh, H-F. Hsieh, C Hsiung, H-Y. Huang, P. Huang, Y-C. Huang, Y.-J. Huang, C. Y. Hui, S. Ide, Kohei Inayoshi, Yoshiyuki Inoue, K. Ito, Y. Itoh, Chanhyung Jeon, H-B Jin, K. Jung, P. Jung, K. Kaihotsu, T. Kajita, M. Kakizaki, M. Kamiizumi, Nobuyuki Kanda, T. Kato, Kyohei Kawaguchi, Chunglee Kim, Jaewan Kim, Jin-Woo Kim, Y.-M. Kim, N. Kimura, T Kiyota, Y. Kobayashi, Kazunori Kohri, K. Kokeyama, A. K. H. Kong, Naoki Koyama, C. Kozakai, J. Kume, Y. Kuromiya, Sachiko Kuroyanagi, K. Kwak, E Lee, H. W. Lee, Ray‐Kuang Lee, M. Leonardi, Kwan-Lok Li, P Li, L. C.-C. Lin, Chun-Yu Lin, E. T. Lin, F-L. Lin, Guo-Chin Liu, L.-W. Luo, M Ma’arif, E. Majorana, Yuta Michimura, N. Mio, O. Miyakawa, K. Miyo, S. Miyoki, Y. Mori, S. Morisaki, N. Morisue, Y. Moriwaki, Koji Nagano, K. Nakamura, Hiroyuki Nakano, M. Nakano, Y. Nakayama, T. Narikawa, L. Naticchioni, L. Nguyen Quynh, W-T Ni, T. Nishimoto, A. Nishizawa, S. Nozaki, Y. Obayashi, W. Ogaki, J. J. Oh, M. Ohashi, T. Ohashi, Masashi Ohkawa, H. Ohta, Y. Okutani, K. Oohara, S. Oshino, S. Otabe, K. Pan, A. Parisi, J. Park, F E Pe na Arellano, Surojit Saha, Y. Saito, K Sakai, T. Sawada, Yuichiro Sekiguchi, Lijing Shao, Yutaka Shikano, H. Shimizu, K. Shimode, H. Shinkai, T. Shishido, A. Shoda, K. Somiya, I. Song, R. Sugimoto, J. Suresh, Takamasa Suzuki, H. Tagoshi, Hirotaka Takahashi, Ryutaro Takahashi, S. Takano, H. Takeda, M. Takeda, K. Tanaka, Takahiro Tanaka, Taiki Tanaka, S. Tanioka, Atsushi Taruya, T. Tomaru, T. Tomura, L. Trozzo, T. Tsang, J-S. Tsao, S. Tsuchida, T. Tsutsui, D. Tuyenbayev, N. Uchikata, Takashi Uchiyama, A. Ueda, T. Uehara, K. Ueno, G. Ueshima, T. Ushiba, Maurice H. P. M. van Putten, Jin Wang, T. Washimi, Chien-Ming Wu, H. Wu, Tomohiro Yamada, K. Yamamoto, K. Yamashita, R Yamazaki, Yi Yang, S.-W. Yeh, Jun’ichi Yokoyama, T. Yokozawa, T. Yoshioka, H. Yuzurihara, S. Zeidler, M. Zhan, H Zhang, Yang Zhao, Z-H Zhu
4Citations signalées, ce qui n’est pas une note de qualité
66Institutions déclarées
10Pays d’affiliation déclarés
Rattachement africain : jp, kr, cn, tw, fr, gb, es, it, us, hk.
Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Abstract During April 7–21 2020, KAGRA conducted its first scientific observation in conjunction with the GEO600 detector. The dominant noise sources during this run were found to be suspension control noise in the low-frequency range and acoustic noise in the mid-frequency range. In this study, we show that their contributions in the observational data can be reduced by a signal processing method called independent component analysis (ICA). The model of ICA is extended from that studied in the initial KAGRA data analysis to account for frequency dependence, while the linearity and stationarity of the coupling between the interferometer and the noise sources are still assumed. We identify optimal witness sensors in the application of ICA, leading to successful mitigation of these two dominant contributions. We also analyze the stability of the transfer functions for the entire two weeks of data to investigate the applicability of the proposed subtraction method in gravitational wave searches.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Noise subtraction from KAGRA O3GK data using Independent Component Analysis
- Date Crossref
- 31/03/2023
- Éditeur
- IOP Publishing
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.
Les sujets associés
Pulsars and Gravitational Waves ResearchSeismic Waves and AnalysisSeismic Imaging and Inversion Techniques