2020年
Application of independent component analysis to the iKAGRA data
Progress of Theoretical and Experimental Physics
- 巻
- 2020
- 号
- 5
- 記述言語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1093/ptep/ptaa056
- 出版者・発行元
- Oxford University Press (OUP)
<title>Abstract</title>
We apply independent component analysis (ICA) to 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 the usefulness of this method. Among the two implementations of ICA used here, we find the correlation method yields the optimal results for the case of environmental noise acting on the strain channel linearly.
We apply independent component analysis (ICA) to 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 the usefulness of this method. Among the two implementations of ICA used here, we find the correlation method yields the optimal results for the case of environmental noise acting on the strain channel linearly.
- リンク情報
- ID情報
-
- DOI : 10.1093/ptep/ptaa056
- ISSN : 2050-3911
- eISSN : 2050-3911
- ORCIDのPut Code : 91248872
- SCOPUS ID : 85091247122