1. Application of independent component analysis to the iKAGRA data
- Author
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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. -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., 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., Quynh, L. N., W. -T., Ni, Nishizawa, A., Obuchi, Y., Ochi, T., Ogaki, W., J. J., Oh, S. H., Oh, Ohashi, M., Ohishi, N., Ohkawa, M., Okutomi, K., Oohara, K., Ooi, C. P., Oshino, S., Pan, K., Pang, H., Park, J., Arellano, F. E. P., Pinto, I., Sago, 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., Martin, E. N. T. S., 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., 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., W. -R., Xu, Yamada, 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., KAGRA Collaboration, Laboratoire d'Annecy de Physique des Particules (LAPP/Laboratoire d'Annecy-le-Vieux de Physique des Particules), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), KAGRA, Laboratoire d'Annecy de Physique des Particules (LAPP), and Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)
- Subjects
Gravitational-wave observatory ,General Physics and Astronomy ,FOS: Physical sciences ,General Relativity and Quantum Cosmology (gr-qc) ,01 natural sciences ,GRAVITATIONAL-WAVES ,General Relativity and Quantum Cosmology ,0103 physical sciences ,Continuous signal ,[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det] ,F30 Instrumentation and technique ,Environmental noise ,010303 astronomy & astrophysics ,Instrumentation and Methods for Astrophysics (astro-ph.IM) ,Physics ,Strain (chemistry) ,010308 nuclear & particles physics ,Gravitational wave ,Independent component analysis ,E02 Gravitational waves ,SEPARATION ,[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc] ,Correlation method ,Astrophysics - Instrumentation and Methods for Astrophysics ,Algorithm ,Communication channel - Abstract
We apply the independent component analysis (ICA) to the 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 usefulness of this method. Among the two implementations of ICA used here, we find the correlation method yields the optimal result for the case environmental noises act on the strain channel linearly., 27 pages, 12 figures : published in PTEP with added discussion about the relation between ICA and Wiener filtering
- Published
- 2020
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