tochastic gravitational waves (SGW) can be detected by measuring a cross-correlation of
two or more gravitational wave (GW) detectors. In this paper we describe an optimal SGW
search technique in the wavelet domain. It uses a sign correlation test, which allows
calculation of the cross-correlation significance for
non-
Gaussian data
. We also address the
problem of
correlated noise
for the GW detectors. A method that allows calculation of the
cross-correlation variance
, when data is affected by correlated noise, is developed. As a part
of the optimal search technique a robust estimator for detector noise spectral amplitude is
introduced. It is not sensitive to outliers and allows application of the search technique to
non-stationary data.
%0 Journal Article
%1 noauthororeditor
%A Klimenko, S.
%A Mitselmakher, G.
%A Sazonov, A.
%D 2005
%K correlation gravition time-series wavelet waves
%T A cross-correlation technique in wavelet domain for detection of stochastic gravitational waves
%X tochastic gravitational waves (SGW) can be detected by measuring a cross-correlation of
two or more gravitational wave (GW) detectors. In this paper we describe an optimal SGW
search technique in the wavelet domain. It uses a sign correlation test, which allows
calculation of the cross-correlation significance for
non-
Gaussian data
. We also address the
problem of
correlated noise
for the GW detectors. A method that allows calculation of the
cross-correlation variance
, when data is affected by correlated noise, is developed. As a part
of the optimal search technique a robust estimator for detector noise spectral amplitude is
introduced. It is not sensitive to outliers and allows application of the search technique to
non-stationary data.
@article{noauthororeditor,
abstract = {tochastic gravitational waves (SGW) can be detected by measuring a cross-correlation of
two or more gravitational wave (GW) detectors. In this paper we describe an optimal SGW
search technique in the wavelet domain. It uses a sign correlation test, which allows
calculation of the cross-correlation significance for
non-
Gaussian data
. We also address the
problem of
correlated noise
for the GW detectors. A method that allows calculation of the
cross-correlation variance
, when data is affected by correlated noise, is developed. As a part
of the optimal search technique a robust estimator for detector noise spectral amplitude is
introduced. It is not sensitive to outliers and allows application of the search technique to
non-stationary data.},
added-at = {2015-07-16T18:33:51.000+0200},
author = {Klimenko, S. and Mitselmakher, G. and Sazonov, A.},
biburl = {https://www.bibsonomy.org/bibtex/224e96300fd212fe685c9527e6e8b91e9/rwoz},
description = {E:\Ligo\sign05.prn.pdf - sign05.pdf},
interhash = {613ab7799be83d34616f1e76aadb1bfc},
intrahash = {24e96300fd212fe685c9527e6e8b91e9},
keywords = {correlation gravition time-series wavelet waves},
timestamp = {2015-07-16T18:33:51.000+0200},
title = {A cross-correlation technique in wavelet domain for detection of stochastic gravitational waves},
year = 2005
}