DSpace at EWHA: Application of independent component analysis to the iKAGRA data

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Application of independent component analysis to the iKAGRA data

Title: Application of independent component analysis to the iKAGRA data

Authors: Akutsu, T.; Ando, M.; Arai, K.; Arai, Y.; Araki, S.; Araya, A.; Aritomi, N.; Asada, H.; Aso, Y.; Atsuta, S.; Awai, K.; Bae, S.; Bae, Y.; Baiotti, L.; Bajpai, R.; Barton, M. A.; Cannon, K.; Capocasa, E.; Chan, M.; Chen, C.; Chen, K.; Chen, Y.; Chu, H.; Chu, Y-K; Craig, K.; Creus, W.; Doi, K.; Eda, K.; Eguchi, S.; Enomoto, Y.; Flaminio, R.; Fujii, Y.; Fujimoto, M-K; Fukunaga, M.; Fukushima, M.; Furuhata, T.; Ge, G.; Hagiwara, A.; Haino, S.; Hasegawa, K.; Hashino, K.; Hayakawa, H.; Hayama, K.; Himemoto, Y.; Hiranuma, Y.; Hirata, N.; Hirobayashi, S.; Hirose, E.; Hong, Z.; Hsieh, B. H.; Huang, G-Z; Huang, P.; Huang, Y.; Ikenoue, B.; Imam, S.; Inayoshi, K.; Inoue, Y.; Ioka, K.; Itoh, Y.; Izumi, K.; Jung, K.; Jung, P.; Kaji, T.; Kajita, T.; Kakizaki, M.; Kamiizumi, M.; Kanbara, S.; Kanda, N.; Kanemura, S.; Kaneyama, M.; Kang, G.; Kasuya, J.; Kataoka, Y.; Kawaguchi, K.; Kawai, N.; Kawamura, S.; Kawasaki, T.; Kim, C.; Kim, J. C.; Kim, W. S.; Kim, Y-M; Kimura, N.; Kinugawa, T.; Kirii, S.; Kita, N.; Kitaoka, Y.; Kitazawa, H.; Kojima, Y.; Kokeyama, K.; Komori, K.; Kong, A. K. H.; Kotake, K.; Kozakai, C.; Kozu, R.; Kumar, R.; Kume, J.; Kuo, C.; Kuo, H-S; Kuroyanagi, S.; Kusayanagi, K.; Kwak, K.; Lee, H. K.; Lee, H. M.; Lee, H. W.; Lee, R.; Leonardi, M.; Lin, C.; Lin, C-Y; Lin, F-L; Liu, G. C.; Liu, Y.; Luo, L.; Majorana, E.; Mano, S.; Marchio, M.; Matsui, T.; Matsushima, F.; Michimura, Y.; Mio, N.; Miyakawa, O.; Miyamoto, A.; Miyamoto, T.; Miyazaki, Y.; Miyo, K.; Miyoki, S.; Morii, W.; Morisaki, S.; Moriwaki, Y.; Morozumi, T.; Musha, M.; Nagano, K.; Nagano, S.; Nakamura, K.; Nakamura, T.; Nakano, H.; Nakano, M.; Nakao, K.; Nakashima, R.; Narikawa, T.; Naticchioni, L.; Negishi, R.; NguyenQuynh, L.; Ni, W-T; Nishizawa, A.; Obuchi, Y.; Ochi, T.; Ogaki, W.; Oh, J. J.; Oh, S. H.; Ohashi, M.; Ohishi, N.; Ohkawa, M.; Okutomi, K.; Oohara, K.; Ooi, C. P.; Oshino, S.; Pan, K.; Pang, H.; Park, J.; Arellano, F. E. Pena; Pinto, I; Sago, N.; Saijo, M.; Saito, S.; Saito, Y.; Sakai, K.; Sakai, Y.; Sakuno, Y.; Sasaki, M.; Sasaki, Y.; Sato, S.; Sato, T.; Sawada, T.; Sekiguchi, T.; Sekiguchi, Y.; Seto, N.; Shibagaki, S.; Shibata, M.; Shimizu, R.; Shimoda, T.; Shimode, K.; Shinkai, H.; Shishido, T.; Shoda, A.; Somiya, K.; Son, E. J.; Sotani, H.; Suemasa, A.; Sugimoto, R.; Suzuki, T.; Tagoshi, H.; Takahashi, H.; Takahashi, R.; Takamori, A.; Takano, S.; Takeda, H.; Takeda, M.; Tanaka, H.; Tanaka, K.; Tanaka, T.; Tanioka, S.; San Martin, E. N. Tapia; Tatsumi, D.; Telada, S.; Tomaru, T.; Tomigami, Y.; Tomura, T.; Travasso, F.; Trozzo, L.; Tsang, T.; Tsubono, K.; Tsuchida, S.; Tsuzuki, T.; Tuyenbayev, D.; Uchikata, N.; Uchiyama, T.; Ueda, A.; Uehara, T.; Ueki, S.; Ueno, K.; Ueshima, G.; Uraguchi, F.; Ushiba, T.; van Putten, M. H. P. M.; Vocca, H.; Wada, S.; Wakamatsu, T.; Wang, J.; Wu, C.; Wu, H.; Wu, S.; Xu, W-R; Yamada, T.; Yamamoto, A.; Yamamoto, K.; Yamamoto, S.; Yamamoto, T.; Yokogawa, K.; Yokoyama, J.; Yokozawa, T.; Yoon, T. H.; Yoshioka, T.; Yuzurihara, H.; Zeidler, S.; Zhao, Y.; Zhu, Z-H

Ewha Authors: 김정리

SCOPUS Author ID: 김정리

Issue Date: 2020

Journal Title: PROGRESS OF THEORETICAL AND EXPERIMENTAL PHYSICS

ISSN: 2050-3911

Citation: PROGRESS OF THEORETICAL AND EXPERIMENTAL PHYSICS vol. 2020, no. 5

Publisher: OXFORD UNIV PRESS INC

Indexed: SCIE; SCOPUS

Document Type: Article

Abstract: We apply independent component analysis (ICA) to real data from a gravitational wave detector for the first time. Specifically, we use the iKAGRA data taken in April 2016, and calculate the correlations between the gravitational wave strain channel and 35 physical environmental channels. Using a couple of seismic channels which are found to be strongly correlated with the strain, we perform ICA. Injecting a sinusoidal continuous signal in the strain channel, we find that ICA recovers correct parameters with enhanced signal-to-noise ratio, which demonstrates the usefulness of this method. Among the two implementations of ICA used here, we find the correlation method yields the optimal results for the case of environmental noise acting on the strain channel linearly.