Detecting Gravitational-wave Bursts from Black Hole Binaries in the Galactic Center with LISA

被引:0
|
作者
Knee, Alan M. [1 ]
McIver, Jess [1 ]
Naoz, Smadar [2 ,3 ]
Romero-Shaw, Isobel M. [4 ,5 ]
Hoang, Bao-Minh [2 ,3 ]
Grishin, Evgeni [6 ,7 ]
机构
[1] Univ British Columbia, Dept Phys & Astron, Vancouver, BC V6T 1Z1, Canada
[2] Univ Calif Los Angeles, Dept Phys & Astron, Los Angeles, CA 90095 USA
[3] UCLA, Mani L Bhaumik Inst Theoret Phys, Dept Phys & Astron, Lewisburg, PA 90095 USA
[4] Dept Appl Math & Theoret Phys, Cambridge CB3 0WA, England
[5] Kavli Inst Cosmol Cambridge, Madingley Rd, Cambridge CB3 0HA, England
[6] Monash Univ, Sch Phys & Astron, Melbourne, Vic 3800, Australia
[7] OzGrav Australian Res Council, Ctr Excellence Gravitat Wave Discovery, Clayton, Vic 3800, Australia
基金
加拿大自然科学与工程研究理事会;
关键词
COMPACT-OBJECT BINARIES; POST-NEWTONIAN DYNAMICS; SECULAR EVOLUTION; STELLAR ORBITS; MERGERS; NUCLEI; PERTURBATIONS; CHARACTERIZE; SIGNATURES; RADIATION;
D O I
10.3847/2041-8213/ad6a10
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Stellar-mass black hole binaries (BHBs) in galactic nuclei are gravitationally perturbed by the central supermassive black hole (SMBH) of the host galaxy, potentially inducing strong eccentricity oscillations through the eccentric Kozai-Lidov mechanism. These highly eccentric binaries emit a train of gravitational-wave (GW) bursts detectable by the Laser Interferometer Space Antenna (LISA)-a planned space-based GW detector-with signal-to-noise ratios up to similar to 100 per burst. In this work, we study the GW signature of BHBs orbiting our galaxy's SMBH, Sgr A*, which are consequently driven to very high eccentricities. We demonstrate that an unmodeled approach using a wavelet decomposition of the data effectively yields the time-frequency properties of each burst, provided that the GW frequency peaks between 10-3 and 10-1 Hz. The wavelet parameters may be used to infer the eccentricity of the binary, measuring log10(1-e) within an error of 20%. Our proposed search method can thus constrain the parameter space to be sampled by complementary Bayesian inference methods, which use waveform templates or orthogonal wavelets to reconstruct and subtract the signal from LISA data.
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页数:8
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