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Published May 2020 | Accepted Version + Published
Journal Article Open

Application of independent component analysis to the iKAGRA data

Akutsu, T. ORCID icon
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. ORCID icon
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.
Nguyen Quynh, 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.
Peña Arellano, F. E.
Pinto, I.
Sago, N.
Saijo, M.
Saito, S.
Saito, Y.
Sakai, K.
Sakai, Y.
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.
Suzuki, T.
Tagoshi, H.
Takahashi, H.
Takahashi, R.
Takamori, A.
Takano, S.
Takeda, H.
Takeda, M.
Tanaka, H.
Tanaka, K. ORCID icon
Tanaka, K.
Tanaka, T.
Tanaka, T.
Tanioka, S.
Tapia San Martin, E. N.
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. ORCID icon
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, 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.

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.

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 (http://creativecommons.org/licenses/by/4.0/), 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).

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Additional details

Created:
August 22, 2023
Modified:
October 20, 2023