Application of the independent component analysis to the iKAGRA data

Document #:

JGW-P1910218-v8

Document type:

P

Submitted by:

Junya Kume

Updated by:

Junya Kume

Document Created:

17 May 2019, 21:55

Contents Revised:

11 Mar 2020, 18:51

DB Info Revised:

11 Mar 2020, 18:51

Abstract:

We apply the independent component analysis (ICA) to the 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 usefulness of this method. Among the two implementations of ICA used here, we find the correlation method yields the optimal result for the case environmental noises act on the strain channel linearly.

Files in Document:

• ICAiKAGRA_revise_kume.pdf (3.3 MB)

Topics:

• Management:Paper
• Activity:KAGRA
• Detector:Data Analysis

Authors:

• Junya Kume
• Yousuke Itoh
• Jun'ichi Yokoyama

Keywords:

Independent component analysis iKAGRA