论文标题
检测非高斯引力波背景：一个统一的框架
Detecting non-Gaussian gravitational wave backgrounds: a unified framework
论文作者
论文摘要
我们描述了一种新的方法，用于对引力波的非\ textendendash高斯随机背景的检测和参数估计。该方法基于使用重要性抽样确定相关统计参数。我们表明，通过模拟给定模型的预期信号的实现，可以改善高斯检测统计。尽管计算昂贵，但我们的方法改善了检测性能，利用了预期信号的先验知识，并且可以自然地使用有关背景的物理信息。我们介绍了我们方法的基本原理，它表征了在简化的上下文中检测统计性能，并讨论了某些天体物理前景检测的可能应用。我们认为，与文献中可用的方法相辅相成，可以使用目前操作和未来的重力波检测器来检测合适的天体物理前景。
We describe a novel approach to the detection and parameter estimation of a non\textendash Gaussian stochastic background of gravitational waves. The method is based on the determination of relevant statistical parameters using importance sampling. We show that it is possible to improve the Gaussian detection statistics, by simulating realizations of the expected signal for a given model. While computationally expensive, our method improves the detection performance, leveraging the prior knowledge on the expected signal, and can be used in a natural way to extract physical information about the background. We present the basic principles of our approach, characterize the detection statistic performances in a simplified context and discuss possible applications to the detection of some astrophysical foregrounds. We argue that the proposed approach, complementarily to the ones available in literature might be used to detect suitable astrophysical foregrounds by currently operating and future gravitational wave detectors.
