论文标题

天然气天文台的科学:极端质量的灵感的初步结果

Science with the TianQin observatory: Preliminary result on extreme-mass-ratio inspirals

论文作者

Fan, Hui-Min, Hu, Yi-Ming, Barausse, Enrico, Sesana, Alberto, Zhang, Jian-dong, Zhang, Xuefeng, Zi, Tie-Guang, Mei, Jianwei

论文摘要

由巨大的黑洞和恒星 - 原始物体紧凑物体(CO)组成的系统,称为极端质量比率灵感(EMRIS),对于太空的重力波检测器具有重要意义,因为它们将允许在强场策略中测试重力理论,并检查黑洞无河道的有效性。在这项工作中,我们为这些来源的各种天体物理模型介绍了天然天文台的EMRI速率和参数估计能力的计算。我们发现,天气可以观察到涉及10 $ m_ \ odot $的cos的emris,到redshift $ \ sim2 $。我们还发现,在最乐观的天体物理场景中,探测可能每年达到数十万。预计内部参数将在$ \ sim 10^{ - 6} $的分数错误内恢复到零位错误,而光度距离的典型错误和天空定位的典型错误分别为10%和10度$^2 $。 Tianqin对Emris的观察还可以将可能的偏差限制为从Kerr四极力矩到分数错误$ \ lyseSim10^{ - 4} $。我们还发现,多个检测器的网络将允许提高检测率(通过因子$ \ sim 1.5 $ - $ 3 $)和参数估计精度(对天空定位的20倍改进,其他参数提高了五倍)。

Systems consisting of a massive black hole and a stellar-origin compact object (CO), known as extreme-mass-ratio inspirals (EMRIs), are of great significance for space-based gravitational-wave detectors, as they will allow for testing gravitational theories in the strong field regime, and for checking the validity of the black hole no-hair theorem. In this work, we present a calculation of the EMRI rate and parameter estimation capabilities of the TianQin observatory, for various astrophysical models for these sources. We find that TianQin can observe EMRIs involving COs with mass of 10$M_\odot$ up to redshift $\sim2$. We also find that detections could reach tens or hundreds per year in the most optimistic astrophysical scenarios. Intrinsic parameters are expected to be recovered to within fractional errors of $\sim 10^{-6}$, while typical errors on the luminosity distance and sky localization are 10% and 10 deg$^2$, respectively. TianQin observation of EMRIs can also constrain possible deviations from the Kerr quadrupole moment to within fractional errors $\lesssim10^{-4}$. We also find that a network of multiple detectors would allow for improvements in both detection rates (by a factor $\sim 1.5$ -$3$) and in parameter estimation precision (20-fold improvement for the sky localization and fivefold improvement for the other parameters).

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