Application of independent component analysis to the iKAGRA data

Zhu, Z. -H., Zhao, Y., Zeidler, S., Yuzurihara, H., Yoshioka, T., Yoon, T. H., Yokozawa, T., Yokoyama, J., Yokogawa, K., Yamamoto, T., Yamamoto, S., Yamamoto, K., Yamamoto, K., Yamamoto, A, Yamada, T., Xu, W. -R., Wu, S., Wu, H., Wu, C., Wang, J., Wakamatsu, T., Wada, S., Vocca, H., van Putten, M. H. P. M., Ushiba, T., Uraguchi, F., Ueshima, G., Ueno, K., Ueki, S., Uehara, T., Ueda, A., Uchiyama, T., Uchikata, N., Tuyenbayev, D., Tsuzuki, T., Tsuchida, S., Tsubono, K., Tsang, T., Trozzo, L., Travasso, F., Tomura, T., Tomigami, Y., Tomaru, T., Telada, S., Tatsumi, D., Martin, E. N. Tapia San, Tanioka, S., Tanaka, T., Tanaka, T., Tanaka, K., Tanaka, K., Tanaka, H., Takeda, M., Takeda, H., Takano, S., Takamori, A., Takahashi, R., Takahashi, H., Tagoshi, H., Suzuki, T., Suzuki, T., Sugimoto, R., Suemasa, A., Sotani, H., Son, E. J., Somiya, K., Shoda, A., Shishido, T., Shinkai, H., Shimode, K.., Shimoda, T., Shimizu, R., Shibata, M., Shibagaki, S., Seto, N., Sekiguchi, Y., Sekiguchi, T., Sawada, T., Sato, T., Sato, S., Sasaki, Y., Sasaki, M., Sakuno, Y., Sakai, Y., Sakai, Y., Sakai, K., Saito, Y., Saito, S., Saijo, M., Sago, N., Pinto, I., Arellano, F. E. Peña, Park, J., Pang, H., Pan, K., Oshino, S., Ooi, C .P., Oohara, K., Okutomi, K., Ohkawa, M., Ohishi, N., Ohashi, M., Oh, S. H., Oh, J. J., Ogaki, W., Ochi, T., Obuchi, Y., Nishizawa, A., Ni, W. -T., Quynh, L. Nguyen, Negishi, R., Naticchioni, L., Narikawa, T., Nakashima, R., Nakao, K., Nakano, M., Nakano, H., Nakamura, T., Nakamura, K.., Nagano, S., Nagano, K., Musha, M., Morozumi, T., Moriwaki, Y., Morisaki, S., Morii, W., Miyoki, S., Miyo, K., Miyazaki, Y., Miyamoto, T., Miyamoto, A., Miyakawa, O., Mio, N., Michimura, Y., Matsushima, F., Matsui, T., Marchio, M., Mano, S., Majorana, E., Luo, L., Liu, Y., Liu, G. C., Lin, F. -L., Lin, C. -Y., Lin, C., Leonardi, M., Lee, R., Lee, H. W., Lee, H. M., Lee, H. K., Kwak, K., Kusayanagi, K., Kuroyanagi, S., Kuo, H. -S., Kuo, C., Kume, J., Kumar, R., Kozu, R., Kozakai, C., Kotake, K., Kong, A. K. H., Komori, K., Kokeyama, K. ORCID: https://orcid.org/0000-0002-2896-1992, Kojima, Y., Kitazawa, H., Kitaoka, Y., Kita, N., Kirii, S., Kinugawa, T., Kimura, N., Kim, Y. -M., Kim, W. S., Kim, J. C., Kim, C., Kawasaki, T., Kawamura, S., Kawai, N., Kawaguchi, K., Kataoka, Y., Kasuya, J., Kang, G., Kaneyama, M., Kanemura, S., Kanda, N., Kanbara, S., Kamiizumi, M., Kakizaki, M., Kajita, T., Kaji, T., Jung, P., Jung, K., Izumi, K., Itoh, Y., Ioka, K., Inoue, Y., Inayoshi, K., Imam, S., Ikenoue, B., Huang, Y., Huang, P., Huang, G. -Z., Hsieh, B. H., Hong, Z., Hirose, E., Hirobayashi, S., Hirata, N., Hiranuma, Y., Himemoto, Y., Hayama, K., Hayakawa, H., Hashino, K., Hasegawa, K.., Haino, S., Hagiwara, A., Ge, G., Furuhata, T., Fukushima, M., Fukunaga, M., Fujimoto, M. -K., Fujii, Y., Flaminio, R., Enomoto, Y., Eguchi, S., Eda, K., Doi, K., Creus, W., Craig, K., Chu, Y. -K., Chu, H., Chen, Y., Chen, K., Chen, C., Chan, M., Capocasa, E., Cannon, K., Barton, M. A., Bajpai, R., Baiotti, L., Bae, Y., Bae, S., Awai, K., Atsuta, S., Aso, Y., Asada, H., Aritomi, N., Araya, A., Araki, S., Arai, Y., Arai, K., Ando, M. and Akutsu, T. 2020. Application of independent component analysis to the iKAGRA data. Progress of Theoretical and Experimental Physics 2020 (5) , 053F01. 10.1093/ptep/ptaa056

Preview

PDF - Published Version Available under License Creative Commons Attribution. Download (991kB) | Preview

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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Physics and Astronomy
Additional Information:	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.
ISSN:	2050-3911
Date of First Compliant Deposit:	19 March 2021
Date of Acceptance:	31 March 2020
Last Modified:	05 May 2023 23:13
URI:	https://orca.cardiff.ac.uk/id/eprint/139920

Citation Data

Cited 3 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item