Noise subtraction from KAGRA O3GK data using Independent Component Analysis

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 31 Mar 2023Embargo end date: 01 Jan 2022 Italy, France, Italy, Italy Publisher:IOP PublishingJournal:Classical and Quantum Gravity, volume 40, page 85,015 (issn: 0264-9381, eissn: 1361-6382,

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Authors: KAGRA Collaboration; Abe, H.; Akutsu, T.; Ando, M.; Araya, A.; Aritomi, N.; Asada, H.; +193 Authors

KAGRA Collaboration; Abe, H.; Akutsu, T.; Ando, M.; Araya, A.; Aritomi, N.; Asada, H.; Aso, Y.; Bae, S.; Bae, Y.; Bajpai, R.; Cannon, K.; Cao, Z.; Capocasa, E.; Chan, M.; Chen, C.; Chen, D.; Chen, K.; Chen, Y.; Chiang, C-Y.; Chu, Y-K.; Eguchi, S.; Eisenmann, M.; Enomoto, Y.; Flaminio, R.; Fong, H. K.; Fujii, Y.; Fujikawa, Y.; Fujimoto, Y.; Fukunaga, I.; Gao, D.; Ge, G. -G.; Ha, S.; Hadiputrawan, I. P. W.; Haino, S.; Han, W. -B.; Hasegawa, K.; Hattori, K.; Hayakawa, H.; Hayama, K.; Himemoto, Y.; Hirata, N.; Hirose, C.; Ho, T-C.; Hsieh, B-H.; Hsieh, H-F.; Hsiung, C.; Huang, H-Y.; Huang, P.; Huang, Y-C.; Huang, Y. -J.; Hui, D. C. Y.; Ide, S.; Inayoshi, K.; Inoue, Y.; Ito, K.; Itoh, Y.; Jeon, C.; Jin, H. -B.; Jung, k.; Jung, P.; Kaihotsu, K.; Kajita, T.; Kakizaki, M.; Kamiizumi, M.; Kanda, N.; Kato, T.; Kawaguchi, K.; Kim, C.; Kim, J.; Kim, J. C.; Kim, Y. -M.; Kimura, N.; Kiyota, T.; Kobayashi, Y.; Kohri, K.; Kokeyama, K.; Kong, A. K. H.; Koyama, N.; Kozakai, C.; Kume, J.; Kuromiya, Y.; Kuroyanagi, S.; Kwak, K.; Lee, E.; Lee, H. W.; Lee, R.; Leonardi, M.; Li, K. L.; Li, P.; Lin, L. C. -C.; Lin, C-Y.; Lin, E. T.; Lin, F-K.; Lin, F-L.; Lin, H. L.; Liu, G. C.; Luo, L. -W.; Ma'arif, M.; Majorana, E.; Michimura, Y.; Mio, N.; Miyakawa, O.; Miyo, K.; Miyoki, S.; Mori, Y.; Morisaki, S.; Morisue, N.; Moriwaki, Y.; Nagano, K.; Nakamura, K.; Nakano, H.; Nakano, M.; Nakayama, Y.; Narikawa, T.; Naticchioni, L.; Quynh, L. Nguyen; Ni, W. -T.; Nishimoto, T.; Nishizawa, A.; Nozaki, S.; Obayashi, Y.; Ogaki, W.; Oh, J. J.; Oh, K.; Ohashi, M.; Ohashi, T.; Ohkawa, M.; Ohta, H.; Okutani, Y.; Oohara, K.; Oshino, S.; Otabe, S.; Pan, K. -C.; Parisi, A.; Park, J.; Arellano, F. E. Peña; Saha, S.; Saito, Y.; Sakai, K.; Sawada, T.; Sekiguchi, Y.; Shao, L.; Shikano, Y.; Shimizu, H.; Shimode, K.; Shinkai, H.; Shishido, T.; Shoda, A.; Somiya, K.; Song, I.; Sugimoto, R.; Suresh, J.; Suzuki, T.; Suzuki, T.; Suzuki, T.; Tagoshi, H.; Takahashi, H.; Takahashi, R.; Takano, S.; Takeda, H.; Takeda, M.; Tanaka, K.; Tanaka, T.; Tanaka, T.; Tanioka, S.; Taruya, A.; Tomaru, T.; Tomura, T.; Trozzo, L.; Tsang, T.; Tsao, J-S.; Tsuchida, S.; Tsutsui, T.; Tuyenbayev, D.; Uchikata, N.; Uchiyama, T.; Ueda, A.; Uehara, T.; Ueno, K.; Ueshima, G.; Ushiba, T.; van Putten, M. H. P. M.; Wang, J.; Washimi, T.; Wu, C.; Wu, H.; Yamada, T.; Yamamoto, K.; Yamamoto, T.; Yamashita, K.; Yamazaki, R.; Yang, Y.; Yeh, S.; Yokoyama, J.; Yokozawa, T.; Yoshioka, T.; Yuzurihara, H.; Zeidler, S.; Zhan, M.;

doi: 10.1088/1361-6382/acc0cb , 10.48550/arxiv.2206.05785

arXiv: 2206.05785

handle: 10261/347868 , 11572/398215 , 11573/1733819 , 11391/1569493

Noise subtraction from KAGRA O3GK data using Independent Component Analysis

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Abstract

Abstract During April 7–21 2020, KAGRA conducted its first scientific observation in conjunction with the GEO600 detector. The dominant noise sources during this run were found to be suspension control noise in the low-frequency range and acoustic noise in the mid-frequency range. In this study, we show that their contributions in the observational data can be reduced by a signal processing method called independent component analysis (ICA). The model of ICA is extended from that studied in the initial KAGRA data analysis to account for frequency dependence, while the linearity and stationarity of the coupling between the interferometer and the noise sources are still assumed. We identify optimal witness sensors in the application of ICA, leading to successful mitigation of these two dominant contributions. We also analyze the stability of the transfer functions for the entire two weeks of data to investigate the applicability of the proposed subtraction method in gravitational wave searches.

Countries

Italy, France, Italy, Italy

Related Organizations

Peking University
China (People's Republic of)
Chinese University of Hong Kong
China (People's Republic of)
Sapienza University of Rome
Italy
National Institute for Nuclear Physics
Italy
Kyoto University
Japan

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Keywords

gravitational wave; data analysis; noise subtraction; independent component analysis, noise, frequency: dependence, data analysis, gravitational radiation, FOS: Physical sciences, General Relativity and Quantum Cosmology (gr-qc), stability, 530, General Relativity and Quantum Cosmology, acoustic, off-line, frequency: low, independent component analysis, noise subtraction, [PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc], KAGRA, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Astrophysics - Instrumentation and Methods for Astrophysics, gravitational wave, Instrumentation and Methods for Astrophysics (astro-ph.IM), data analysis; gravitational wave; independent component analysis; noise subtraction; KAGRA

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