Application of independent component analysis to the iKAGRA data

機構典藏 > College of Sciences > Graduate Institute & Department of Physics > Journal Article > Item 987654321/120682

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/120682

Title:	Application of independent component analysis to the iKAGRA data
Authors:	Collaboration, KAGRA
Keywords:	E02 Gravitational waves;F30 Instrumentation and technique
Date:	2020-05-28
Issue Date:	2021-04-30 12:10:23 (UTC+8)
Abstract:	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.
Relation:	Progress of Theoretical and Experimental Physics(PTEP) 2020(5), 053F01
DOI:	10.1093/ptep/ptaa056
Appears in Collections:	[Graduate Institute & Department of Physics] Journal Article

Files in This Item:

File	Description	Size	Format
Application of independent component analysis to the iKAGRA data.pdf		969Kb	Adobe PDF	36	View/Open
index.html		0Kb	HTML	94	View/Open