Detection methods for stochastic gravitational-wave backgrounds: a unified treatment
Joseph D. Romano, Neil J. Cornish

TL;DR
This paper provides a comprehensive, unified review of detection methods for stochastic gravitational-wave backgrounds, covering Bayesian and frequentist approaches across various detectors and considering complex signal properties.
Contribution
It offers a unified framework for analyzing gravitational-wave backgrounds, integrating different detection techniques and addressing data analysis challenges comprehensively.
Findings
Unified treatment of detection methods at the likelihood level
Comparison of Bayesian and frequentist approaches
Pedagogical examples illustrating different detection strategies
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 give rise to such backgrounds. We provide a unified treatment of these searches at the level of detector response functions, detection sensitivity curves, and, more generally, at the level of the likelihood function, since the choice of signal and noise models and prior probability distributions are actually what define the search. Pedagogical examples are given whenever possible to…
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