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arXiv 2209.01400gr-qcastro-ph.HEastro-ph.IMphysics.data-an
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探测非高斯引力波背景:一个统一框架

Detecting non-Gaussian gravitational wave backgrounds: a unified framework

Riccardo Buscicchio, Anirban Ain, Matteo Ballelli, Giancarlo Cella, Barbara Patricelli

AI总结:

本文提出基于重要性采样的统一框架,通过模拟预期非高斯随机引力波背景来改进高斯探测统计量并提取物理参数。

摘要:

我们描述了一种用于非高斯随机引力波背景探测与参数估计的新方法。该方法基于利用重要性采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实现,可以改进高斯探测统计量。尽管计算成本高昂,但我们的方法利用关于预期信号的先验知识提升了探测性能,并能够以自然的方式提取有关背景的物理信息。我们介绍了该方法的基本原理,在简化情境下表征了探测统计量的性能,并讨论了在探测某些天体物理前景方面的可能应用。我们认为,所提出的方法作为文献中已有方法的补充,或许可用于通过当前运行和未来的引力波探测器来探测合适的天体物理前景。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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