Regression of environmental noise in gravitational-wave detectors.
- Document #:
- LIGO-G1200626-v1
- Document type:
- G - Presentations (eg Graphics)
Other Versions:
- 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:
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- klimenkoGWADW2012.pdf (553.2 kB)
- Other Files:
- klimenkoGWADW2012.pptx (791.2 kB)
- Topics:
- Authors:
- Keywords:
- GWADW
- Associated with Events:
- GWADW held on 14 May 2012 in Waikoloa Marriott Resort, Hawaii