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Astrophysics > Instrumentation and Methods for Astrophysics

arXiv:2206.05785 (astro-ph)
[Submitted on 12 Jun 2022]

Title:Noise subtraction from KAGRA O3GK data using Independent Component Analysis

Authors:KAGRA collaboration: H. Abe, T. Akutsu, M. Ando, A. Araya, N. Aritomi, H. Asada, Y. Aso, S. Bae, Y. Bae, R. Bajpai, K. Cannon, Z. Cao, E. Capocasa, M. Chan, C. Chen, D. Chen, K. Chen, Y. Chen, C-Y. Chiang, Y-K. Chu, S. Eguchi, M. Eisenmann, Y. Enomoto, R. Flaminio, H. K. Fong, Y. Fujii, Y. Fujikawa, Y. Fujimoto, I. Fukunaga, D. Gao, G.-G. Ge, S. Ha, I. P. W. Hadiputrawan, S. Haino, W.-B. Han, K. Hasegawa, K. Hattori, H. Hayakawa, K. Hayama, Y. Himemoto, N. Hirata, C. Hirose, T-C. Ho, B-H. Hsieh, H-F. Hsieh, C. Hsiung, H-Y. Huang, P. Huang, Y-C. Huang, Y.-J. Huang, D. C. Y. Hui, S. Ide, K. Inayoshi, Y. Inoue, K. Ito, Y. Itoh, C. Jeon, H.-B. Jin, k. Jung, P. Jung, K. Kaihotsu, T. Kajita, M. Kakizaki, M. Kamiizumi, N. Kanda, T. Kato, K. Kawaguchi, C. Kim, J. Kim, J. C. Kim, Y.-M. Kim, N. Kimura, T. Kiyota, Y. Kobayashi, K. Kohri, K. Kokeyama, A. K. H. Kong, N. Koyama, C. Kozakai, J. Kume, Y. Kuromiya, S. Kuroyanagi, K. Kwak, E. Lee, H. W. Lee, R. Lee, M. Leonardi, K. L. Li, P. Li, L. C.-C. Lin, C-Y. Lin, E. T. Lin, F-K. Lin, F-L. Lin, H. L. Lin, G. C. Liu, L.-W. Luo, M. Ma'arif, E. Majorana
, Y. Michimura, N. Mio, O. Miyakawa, K. Miyo, S. Miyoki, Y. Mori, S. Morisaki, N. Morisue, Y. Moriwaki, K. Nagano, K. Nakamura, H. Nakano, M. Nakano, Y. Nakayama, T. Narikawa, L. Naticchioni, L. Nguyen Quynh, W.-T. Ni, T. Nishimoto, A. Nishizawa, S. Nozaki, Y. Obayashi, W. Ogaki, J. J. Oh, K. Oh, M. Ohashi, T. Ohashi, M. Ohkawa, H. Ohta, Y. Okutani, K. Oohara, S. Oshino, S. Otabe, K.-C. Pan, A. Parisi, J. Park, F. E. Peña Arellano, S. Saha, Y. Saito, K. Sakai, T. Sawada, Y. Sekiguchi, L. Shao, Y. Shikano, H. Shimizu, K. Shimode, H. Shinkai, T. Shishido, A. Shoda, K. Somiya, I. Song, R. Sugimoto, J. Suresh, T. Suzuki, T. Suzuki, T. Suzuki, H. Tagoshi, H. Takahashi, R. Takahashi, S. Takano, H. Takeda, M. Takeda, K. Tanaka, T. Tanaka, T. Tanaka, S. Tanioka, A. Taruya, T. Tomaru, T. Tomura, L. Trozzo, T. Tsang, J-S. Tsao, S. Tsuchida, T. Tsutsui, D. Tuyenbayev, N. Uchikata, T. Uchiyama, A. Ueda, T. Uehara, K. Ueno, G. Ueshima, T. Ushiba, M. H. P. M. van Putten, J. Wang, T. Washimi, C. Wu, H. Wu, T. Yamada, K. Yamamoto, T. Yamamoto, K. Yamashita, R. Yamazaki, Y. Yang, S. Yeh, J. Yokoyama, T. Yokozawa, T. Yoshioka, H. Yuzurihara, S. Zeidler, M. Zhan, H. Zhang, Y. Zhao, Z.-H. Zhu
et al. (103 additional authors not shown)  You must enable JavaScript to view entire author list.
View a PDF of the paper titled Noise subtraction from KAGRA O3GK data using Independent Component Analysis, by KAGRA collaboration: H. Abe and 201 other authors
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Abstract:In April 2020, KAGRA conducted its first science observation in combination with the GEO~600 detector (O3GK) for two weeks. According to the noise budget estimation, suspension control noise in the low frequency band and acoustic noise in the middle frequency band are identified as the dominant contribution. In this study, we show that such noise can be reduced in offline data analysis by utilizing a method called Independent Component Analysis (ICA). Here the ICA model is extended from the one studied in iKAGRA data analysis by incorporating frequency dependence while linearity and stationarity of the couplings are still assumed. By using optimal witness sensors, those two dominant contributions are mitigated in the real observational data. We also analyze the stability of the transfer functions for whole two weeks data in order to investigate how the current subtraction method can be practically used in gravitational wave search.
Comments: 26 pages, 10 figures
Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM); General Relativity and Quantum Cosmology (gr-qc)
Report number: JGW-P2214018, RESCEU-5/22
Cite as: arXiv:2206.05785 [astro-ph.IM]
  (or arXiv:2206.05785v1 [astro-ph.IM] for this version)
  https://doi.org/10.48550/arXiv.2206.05785
arXiv-issued DOI via DataCite

Submission history

From: Jun'ya Kume [view email]
[v1] Sun, 12 Jun 2022 16:41:57 UTC (1,363 KB)
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