2017
DOI: 10.1007/s41114-017-0004-1
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Detection methods for stochastic gravitational-wave backgrounds: a unified treatment

Abstract: We review detection methods that are currently in use or have been proposed to search for a stochastic background of gravitational radiation. We consider both Bayesian and frequentist searches using ground-based and space-based laser interferometers, spacecraft Doppler tracking, and pulsar timing arrays; and we allow for anisotropy, non-Gaussianity, and non-standard polarization states. Our focus is on relevant data analysis issues, and not on the particular astrophysical or early Universe sources that might g… Show more

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Cited by 470 publications
(554 citation statements)
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“…Our search uses a cross-correlation method optimized to search for the background using the pair of LIGO detectors [39]. As discussed for instance in [48], crosscorrelation is preferred to auto-correlation methods because the noise variances in each detector are not known sufficiently well to perform subtraction of the noise autopower. We define the estimator…”
mentioning
confidence: 99%
“…Our search uses a cross-correlation method optimized to search for the background using the pair of LIGO detectors [39]. As discussed for instance in [48], crosscorrelation is preferred to auto-correlation methods because the noise variances in each detector are not known sufficiently well to perform subtraction of the noise autopower. We define the estimator…”
mentioning
confidence: 99%
“…where Ω α is the overall magnitude of the spectrum, f ref is the reference frequency while α is the power-law index, which becomes α = 2/3 for GWBs from compact binary inspirals [59]. In such a case with a constant v, Ω (I) GW and Ω (V ) GW have identical frequency dependence.…”
Section: Comparison With a Bayesian Parameter Estimation Analysismentioning
confidence: 99%
“…Cosmological sources of the SGWB include cosmic string networks [5][6][7][8], inflation [9][10][11][12][13][14][15][16], phase transitions [17][18][19], and the pre-Big-Bang scenario [20][21][22][23]. For reviews of search methods for the SGWB, see [24,25].…”
Section: Introductionmentioning
confidence: 99%