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Application of independent component analysis to the iKAGRA data

Akutsu, T. and Ando, M. and Arai, K. and Arai, Y. and Araki, S. and Araya, A. and Aritomi, N. and Asada, H. and Aso, Y. and Atsuta, S. and Awai, K. and Bae, S. and Bae, Y. and Baiotti, L. and Bajpai, R. and Barton, M. A. and Cannon, K. and Capocasa, E. and Chan, M. and Chen, C. and Chen, K. and Chen, Y. and Chu, H. and Chu, Y.-K. and Craig, K. and Creus, W. and Doi, K. and Eda, K. and Eguchi, S. and Enomoto, Y. and Flaminio, R. and Fujii, Y. and Fujimoto, M.-K. and Fukunaga, M. and Fukushima, M. and Furuhata, T. and Ge, G. and Hagiwara, A. and Haino, S. and Hasegawa, K. and Hashino, K. and Hayakawa, H. and Hayama, K. and Himemoto, Y. and Hiranuma, Y. and Hirata, N. and Hirobayashi, S. and Hirose, E. and Hong, Z. and Hsieh, B. H. and Huang, G.-Z. and Huang, P. and Huang, Y. and Ikenoue, B. and Imam, S. and Inayoshi, K. and Inoue, Y. and Ioka, K. and Itoh, Y. and Izumi, K. and Jung, K. and Jung, P. and Kaji, T. and Kajita, T. and Kakizaki, M. and Kamiizumi, M. and Kanbara, S. and Kanda, N. and Kanemura, S. and Kaneyama, M. and Kang, G. and Kasuya, J. and Kataoka, Y. and Kawaguchi, K. and Kawai, N. and Kawamura, S. and Kawasaki, T. and Kim, C. and Kim, J. C. and Kim, W. S. and Kim, Y.-M. and Kimura, N. and Kinugawa, T. and Kirii, S. and Kita, N. and Kitaoka, Y. and Kitazawa, H. and Kojima, Y. and Kokeyama, K. and Komori, K. and Kong, A. K. H. and Kotake, K. and Kozakai, C. and Kozu, R. and Kumar, R. and Kume, J. and Kuo, C. and Kuo, H.-S. and Kuroyanagi, S. and Kusayanagi, K. and Kwak, K. and Lee, H. K. and Lee, H. M. and Lee, H. W. and Lee, R. and Leonardi, M. and Lin, C. and Lin, C.-Y. and Lin, F.-L. and Liu, G. C. and Liu, Y. and Luo, L. and Majorana, E. and Mano, S. and Marchio, M. and Matsui, T. and Matsushima, F. and Michimura, Y. and Mio, N. and Miyakawa, O. and Miyamoto, A. and Miyamoto, T. and Miyazaki, Y. and Miyo, K. and Miyoki, S. and Morii, W. and Morisaki, S. and Moriwaki, Y. and Morozumi, T. and Musha, M. and Nagano, K. and Nagano, S. and Nakamura, K. and Nakamura, T. and Nakano, H. and Nakano, M. and Nakao, K. and Nakashima, R. and Narikawa, T. and Naticchioni, L. and Negishi, R. and Nguyen Quynh, L. and Ni, W.-T. and Nishizawa, A. and Obuchi, Y. and Ochi, T. and Ogaki, W. and Oh, J. J. and Oh, S. H. and Ohashi, M. and Ohishi, N. and Ohkawa, M. and Okutomi, K. and Oohara, K. and Ooi, C. P. and Oshino, S. and Pan, K. and Pang, H. and Park, J. and Peña Arellano, F. E. and Pinto, I. and Sago, N. and Saijo, M. and Saito, S. and Saito, Y. and Sakai, K. and Sakai, Y. and Sakai, Y. and Sakuno, Y. and Sasaki, M. and Sasaki, Y. and Sato, S. and Sato, T. and Sawada, T. and Sekiguchi, T. and Sekiguchi, Y. and Seto, N. and Shibagaki, S. and Shibata, M. and Shimizu, R. and Shimoda, T. and Shimode, K. and Shinkai, H. and Shishido, T. and Shoda, A. and Somiya, K. and Son, E. J. and Sotani, H. and Suemasa, A. and Sugimoto, R. and Suzuki, T. and Suzuki, T. and Tagoshi, H. and Takahashi, H. and Takahashi, R. and Takamori, A. and Takano, S. and Takeda, H. and Takeda, M. and Tanaka, H. and Tanaka, K. and Tanaka, K. and Tanaka, T. and Tanaka, T. and Tanioka, S. and Tapia San Martin, E. N. and Tatsumi, D. and Telada, S. and Tomaru, T. and Tomigami, Y. and Tomura, T. and Travasso, F. and Trozzo, L. and Tsang, T. and Tsubono, K. and Tsuchida, S. and Tsuzuki, T. and Tuyenbayev, D. and Uchikata, N. and Uchiyama, T. and Ueda, A. and Uehara, T. and Ueki, S. and Ueno, K. and Ueshima, G. and Uraguchi, F. and Ushiba, T. and van Putten, M. H. P. M. and Vocca, H. and Wada, S. and Wakamatsu, T. and Wang, J. and Wu, C. and Wu, H. and Wu, S. and Xu, W.-R. and Yamada, T. and Yamamoto, A. and Yamamoto, K. and Yamamoto, K. and Yamamoto, S. and Yamamoto, T. and Yokogawa, K. and Yokoyama, J. and Yokozawa, T. and Yoon, T. H. and Yoshioka, T. and Yuzurihara, H. and Zeidler, S. and Zhao, Y. and Zhu, Z.-H. (2020) Application of independent component analysis to the iKAGRA data. Progress of Theoretical and Experimental Physics, 2020 (5). Art. No. 053F01. ISSN 2050-3911.

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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.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Akutsu, T.0000-0003-0733-7530
Kong, A. K. H.0000-0002-5105-344X
Tanaka, K.0000-0003-1191-5639
Ueno, K.0000-0003-0424-3045
Alternate Title:Application of the independent component analysis to the iKAGRA data
Additional Information:© The Author(s) 2020. Published by Oxford University Press on behalf of the Physical Society of Japan. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Received: 08 August 2019; Revision received: 30 March 2020; Accepted: 31 March 2020; Published: 28 May 2020. This work was supported by MEXT, the Japan Society for the Promotion of Science (JSPS) Leading-edge Research Infrastructure Program, JSPS Grant-in-Aid for Specially Promoted Research 26000005, JSPS Grant-in-Aid for Scientific Research on Innovative Areas 2905 nos. JP17H06358, JP17H06361, and JP17H06364, JSPS Core-to-Core Program A, Advanced Research Networks, JSPS Grant-in-Aid for Scientific Research (S) 17H06133, the joint research program of the Institute for Cosmic Ray Research, University of Tokyo in Japan, National Research Foundation (NRF) and Computing Infrastructure Project of KISTI-GSDC in Korea, Academia Sinica (AS), AS Grid Center (ASGC), and the Ministry of Science and Technology (MoST) in Taiwan under grants including AS-CDA-105-M06, the LIGO project, and the Virgo project. This paper carries JGW Document Number JGW-P1910218. Jun’ya Kume is supported by a research program of the Leading Graduate Course for Frontiers of Mathematical Sciences and Physics (FMSP). This work was partially supported by JSPS KAKENHI Grant-in-Aid for Scientific Research No. 15H02082 (Jun’ichi Yokoyama, Yosuke Itoh, and Toyokazu Sekiguchi).
Funding AgencyGrant Number
Ministry of Education, Culture, Sports, Science and Technology (MEXT)UNSPECIFIED
Japan Society for the Promotion of Science (JSPS)26000005
Japan Society for the Promotion of Science (JSPS)JP17H06358
Japan Society for the Promotion of Science (JSPS)JP17H06361
Japan Society for the Promotion of Science (JSPS)JP17H06364
Japan Society for the Promotion of Science (JSPS)17H06133
Institute for Cosmic Ray ResearchUNSPECIFIED
University of TokyoUNSPECIFIED
National Research Foundation of KoreaUNSPECIFIED
Korea Institute of Science and Technology Information (KISTI)UNSPECIFIED
Academia SinicaUNSPECIFIED
Ministry of Science and Technology (Taipei)AS-CDA-105-M06
Frontiers of Mathematical Sciences and PhysicsUNSPECIFIED
Japan Society for the Promotion of Science (JSPS)15H02082
Subject Keywords:E02 Gravitational waves; F30 Instrumentation and technique
Issue or Number:5
Record Number:CaltechAUTHORS:20201016-151228635
Persistent URL:
Official Citation:T Akutsu, et. al., Application of independent component analysis to the iKAGRA data, Progress of Theoretical and Experimental Physics, Volume 2020, Issue 5, May 2020, 053F01,
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:106126
Deposited By: Tony Diaz
Deposited On:16 Oct 2020 22:43
Last Modified:16 Oct 2020 22:43

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