论文标题
NURIA：高级LIGO数据中旋转二进制黑洞信号的数值相对性注入分析
NuRIA: Numerical Relativity Injection Analysis of spinning binary black hole signals in Advanced LIGO data
论文作者
论文摘要
引力波（GW）天文学的出现为我们提供了比X射线天文学所知的黑洞更大的观察。但是，对中间质量黑洞（IMBH）的观察仍然是一个巨大的挑战。在他们第二次观察跑步之后，Ligo \＆处女座科学合作（LVC）对非不必要的IMBH二进制文件（IMBHBS）的合并速率密度施加了上限。在本文中，我们探讨了LVC使用的两个搜索管道对带有通用旋转的69个数值模拟IMBHB的信号的敏感性，其中27个具有前进的轨道平面。特别是，我们比较了匹配的过滤器搜索Pycbc和连贯的模型独立搜索技术CWB。我们发现，通常，CWB对IMBHB的敏感性比PYCBC更敏感，其差异取决于源的质量和旋转。因此，我们使用CWB使用第一个高级LIGO观察运行中的公共可用数据来对一般旋转IMBH二进制的合并率进行第一个上限。
The advent of gravitational wave (GW) astronomy has provided us with observations of black holes more massive than those known from X-ray astronomy. However, the observation of an intermediate-mass black hole (IMBH) remains a big challenge. After their second observing run, the LIGO \& Virgo Scientific collaborations (LVC) placed upper limits on the coalescence rate density of non-precessing IMBH binaries (IMBHBs). In this article, we explore the sensitivity of two of the search pipelines used by the LVC to signals from 69 numerically simulated IMBHBs with generic spins, out of which 27 have a precessing orbital plane. In particular, we compare the matched-filter search PyCBC, and the coherent model-independent search technique cWB. We find that, in general, cWB is more sensitive to IMBHBs than PyCBC, with their difference depending on the masses and spins of the source. Consequently, we use cWB to place the first upper limits on the merger rate of generically spinning IMBH binaries using publicly available data from the first Advanced LIGO observing run.
