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

H. Abe, T. Akutsu, M. Ando, A. Araya, N. Aritomi, H. Asada, Y. Aso, S. Bae, Y. Bae, R. Bajpai, …
Classical and Quantum Gravity, 卷.40(8), 085015
04/2023
DOI: https://doi.org/10.1088/1361-6382/acc0cb
Web of Science ID: WOS:000989415900001

摘要

gravitational wave independent component analysis noise subtraction Physics and Astronomy (miscellaneous) Data Analysis
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.

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引用書目主題
5 Physics
5.9 Particles & Fields
5.9.746 Gravitational Waves
Web Of Science研究領域
Astronomy & Astrophysics
Physics, Multidisciplinary
Physics, Particles & Fields
Quantum Science & Technology
ESI研究領域
Physics

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