Litcius/Paper detail

Application of independent component analysis to the iKAGRA data

T. Akutsu, Masaki Ando, K. Arai, Y. Arai, S. Araki, A. Araya, N. Aritomi, Hideki Asada, Y. Aso, S. Atsuta, K. Awai, S. Bae, Y Bae, Luca Baiotti, R. Bajpai, M. A. Barton, K. C. Cannon, E. Capocasa, M. Chan, C Chen, K Chen, Y Chen, Hong-Yu Chu, Y -K Chu, K. Craig, W. Creus, Katsumi Doi, Kazunari Eda, S. Eguchi, Yutaro Enomoto, R. Flaminio, Yoshinori Fujii, M -K Fujimoto, Masataka Fukunaga, Mitsuhiro Fukushima, T Furuhata, G.-G. Ge, Masatoshi Hagiwara, S. Haino, K. Hasegawa, Katsuya Hashino, H. Hayakawa, K. Hayama, Y. Himemoto, Y. Hiranuma, N. Hirata, Shigeki Hirobayashi, Eiichi Hirose, Z. Hong, B. H. Hsieh, G-Z. Huang, P. Huang, Y.-J. Huang, B. Ikenoue, S. Imam, Kohei Inayoshi, Yuki Inoue, Kunihito Ioka, Y. Itoh, K. Izumi, K. Jung, P. Jung, T. Kaji, T. Kajita, M. Kakizaki, M. Kamiizumi, Shunsuke Kanbara, Nobuyuki Kanda, Shinya Kanemura, Masato Kaneyama, G. Kang, J Kasuya, Y. Kataoka, Kyohei Kawaguchi, N. Kawai, Seiji Kawamura, T. Kawasaki, Chunglee Kim, J C Kim, W. S. Kim, Yejin Kim, N. Kimura, Tomoya Kinugawa, S Kirii, Naoki Kita, Y. Kitaoka, H. Kitazawa, Y. Kojima, K. Kokeyama, K. Komori, A. K. H. Kong, Kei Kotake, C. Kozakai, R. Kozu, S. Kumar, J. Kume, C. M. Kuo, H-S. Kuo, Sachiko Kuroyanagi, K. Kusayanagi

2020Progress of Theoretical and Experimental Physics13 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Independent component analysisPhysicsSIGNAL (programming language)Noise (video)Component (thermodynamics)Channel (broadcasting)DetectorGravitational waveStrain (injury)Signal-to-noise ratio (imaging)Statistical physicsAcousticsOpticsAstrophysicsArtificial intelligenceComputer scienceTelecommunicationsQuantum mechanicsBiologyAnatomyImage (mathematics)Programming languageBlind Source Separation TechniquesSeismic Waves and AnalysisPulsars and Gravitational Waves Research