Romano Joseph D, Cornish Neil J
Department of Physics and Astronomy, University of Texas Rio Grande Valley, Brownsville, TX 78520 USA.
Department of Physics, Montana State University, Bozeman, MT 59717 USA.
Living Rev Relativ. 2017;20(1):2. doi: 10.1007/s41114-017-0004-1. Epub 2017 Apr 4.
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 compare and contrast different approaches. We have tried to make the article as self-contained and comprehensive as possible, targeting graduate students and new researchers looking to enter this field.
我们回顾了目前正在使用或已被提出用于搜寻引力辐射随机背景的检测方法。我们考虑了使用地基和天基激光干涉仪、航天器多普勒跟踪以及脉冲星计时阵列的贝叶斯搜索和频率论搜索;并且我们考虑了各向异性、非高斯性和非标准偏振态。我们关注的是相关数据分析问题,而非可能产生此类背景的特定天体物理或早期宇宙源。我们在探测器响应函数、检测灵敏度曲线层面,更一般地说,在似然函数层面,对这些搜索进行了统一处理,因为信号和噪声模型以及先验概率分布的选择实际上决定了搜索方式。只要有可能,我们就会给出教学示例来比较和对比不同方法。我们试图使本文尽可能自成体系且全面,目标读者是希望进入该领域的研究生和新研究人员。