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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-KCraig, K.Creus, W.Doi, K.Eda, K.Eguchi, S.Enomoto, Y.Flaminio, R.Fujii, Y.Fujimoto, M-KFukunaga, 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-ZHuang, 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-MKimura, 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-SKuroyanagi, S.Kusayanagi, K.Kwak, K.Lee, H. K.Lee, H. M.Lee, H. W.Lee, R.Leonardi, M.Lin, C.Lin, C-YLin, F-LLiu, 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-TNishizawa, 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. PenaPinto, ISago, 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. TapiaTatsumi, 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-RYamada, 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
김정리scopus
Issue Date
2020
Journal Title
PROGRESS OF THEORETICAL AND EXPERIMENTAL PHYSICS
ISSN
2050-3911JCR Link
Citation
PROGRESS OF THEORETICAL AND EXPERIMENTAL PHYSICS vol. 2020, no. 5
Publisher
OXFORD UNIV PRESS INC
Indexed
SCIE; SCOPUS WOS
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.
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DOI
10.1093/ptep/ptaa056
Appears in Collections:
자연과학대학 > 물리학전공 > Journal papers
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