Noise subtraction from KAGRA O3GK data using Independent Component Analysis
學年 111
學期 2
出版（發表）日期 2023-03-31
作品名稱 Noise subtraction from KAGRA O3GK data using Independent Component Analysis
作品名稱（其他語言）
著者 Liu, Guo-chin
單位
出版者
著錄名稱、卷期、頁數 Classical and Quantum Gravity 40,　8
摘要 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.
關鍵字
語言 en
ISSN 1361-6382
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 否
國別 GBR
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/125856 )