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Testing the Kerr nature of supermassive and intermediate-mass black hole binaries using spin-induced multipole moment measurements
被引:9
|作者:
Krishnendu, N., V
[1
,2
]
Yelikar, Anjali B.
[1
,3
]
机构:
[1] Chennai Math Inst, Siruseri 603103, India
[2] Max Planck Inst Gravitat Phys, Albert Einstein Inst, Callinstr 38, D-30167 Hannover, Germany
[3] Rochester Inst Technol, Sch Phys & Astron, 84 Lomb Mem Dr, Rochester, NY 14623 USA
关键词:
gravitational waves;
compact binary;
supermassive black holes;
intermediate-mass black holes;
space-based detectors;
GRAVITATIONAL-RADIATION;
MERGING HISTORY;
GALACTIC NUCLEI;
BOSON STARS;
SYSTEMS;
EVOLUTION;
REDSHIFT;
QUASAR;
D O I:
10.1088/1361-6382/ababb1
中图分类号:
P1 [天文学];
学科分类号:
0704 ;
摘要:
The gravitational wave measurements of spin-induced multipole moment coefficients of a binary black hole system can be used to distinguish black holes from other compact objects [1]. Here, we apply the idea proposed in reference [1] to binary systems composed of supermassive and intermediate-mass black holes and derive the expected bounds on their Kerr nature using future space-based gravitational wave detectors. Using astrophysical models of binary black hole population, we study the measurability of the spin-induced quadrupole and octupole moment coefficients using LISA and DECIGO. The errors on spin-induced quadrupole moment parameter of the binary system are found to be <= 0.1 for almost 3% of the total supermassive binary black hole population which is detectable by LISA whereas it is similar to 46% for the intermediate-mass black hole binaries observable by DECIGO at its design sensitivity. We find that errors onboththe quadrupole and octupole moment parameters can be estimated to be <= 1 for similar to 2% and similar to 50% of the population respectively for LISA and DECIGO detectors. Our findings suggest that a subpopulation of binary black hole events, with the signal to noise ratio thresholds greater than 200 and 100 respectively for LISA and DECIGO detectors, would permit tests of black hole nature to 10% precision.
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页数:13
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