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

Authors :
Yi-Ming Hu
Jianwei Mei
Huimin Fan
Alberto Sesana
Enrico Barausse
Tie-Guang Zi
Xuefeng Zhang
Jian-dong Zhang
Institut d'Astrophysique de Paris (IAP)
Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Fan, H
Hu, Y
Barausse, E
Sesana, A
Zhang, J
Zhang, X
Zi, T
Mei, J
Source :
Physical Review D, Physical Review D, American Physical Society, 2020, 102 (6), pp.063016. ⟨10.1103/PhysRevD.102.063016⟩
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

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).<br />Comment: 13 pages, 5 figures

Details

Language :
English
ISSN :
15507998 and 15502368
Database :
OpenAIRE
Journal :
Physical Review D, Physical Review D, American Physical Society, 2020, 102 (6), pp.063016. ⟨10.1103/PhysRevD.102.063016⟩
Accession number :
edsair.doi.dedup.....4db32f3927e56cec8056e0a58619f43c
Full Text :
https://doi.org/10.1103/PhysRevD.102.063016⟩