论文标题
用于重力波检测，识别和推理的一站式功能
A one-stop function for gravitational-wave detection, identification and inference
论文作者
论文摘要
我在这里定义了在重力波信号的建模空间上的新功能，然后将其特性作为检测统计量，作为识别的目标函数以及推理的有效可能性函数。这项工作背后的主要动机是对极端质量比率灵感的信号的开放数据分析问题，这受到信号空间中强烈的非本地参数退化的严重阻碍。我证明了提出的功能在分析此类信号的效用，并提出了各种可能的方向供将来的研究。
I define here a novel function on a modeled space of gravitational-wave signals, before studying its properties as a statistic for detection, as an objective function for identification, and as an effective likelihood function for inference. The main motivation behind this work is the open data-analysis problem for signals from extreme-mass-ratio inspirals, which is severely hindered by the presence of strong non-local parameter degeneracy in the signal space. I demonstrate the utility of the proposed function for the analysis of such signals, and suggest various possible directions for future research.
