Regression of environmental noise in gravitational-wave detectors.

Document #:

LIGO-G1200626-v1

Document type:

G - Presentations (eg Graphics)

Abstract:

We address a problem of noise regression in the output of gravitational-wave interferometers using data from the environmental monitors (PEM). The objective of the regression analysis is to predict environmental noise in the gravitational-wave (GW) channel from the PEM measurements. One of the most promising regression methods is based on the construction of Wiener-Kolmogorov filters. In the presented approach the Wiener-Kolmogorov method has been extended incorporating banks of Wiener filters in the wavelet domain, multi-channel analysis and regulation schemes, which greatly enhance the versatility of the regression analysis. Also the first results on the regression of the bi-coherent noise in the LIGO data are presented.

Files in Document:

• klimenkoGWADW2012.pdf (553.2 kB)

Other Files:

• klimenkoGWADW2012.pptx (791.2 kB)

Topics:

• Detector

Authors:

• Sergei Klimenko

Keywords:

GWADW

Associated with Events:

GWADW held on 14 May 2012 in Waikoloa Marriott Resort, Hawaii