Detection and parameter estimation of binary neutron star merger remnants

被引:24
作者
Easter, Paul J. [1 ,2 ]
Ghonge, Sudarshan [3 ,4 ]
Lasky, Paul D. [1 ,2 ]
Casey, Andrew R. [1 ,5 ]
Clark, James A. [3 ,4 ]
Vivanco, Francisco Hernandez [1 ,2 ]
Chatziioannou, Katerina [6 ]
机构
[1] Monash Univ, Sch Phys & Astron, Clayton, Vic 3800, Australia
[2] OzGrav ARC Ctr Excellence Gravitat Wave Discovery, Clayton, Vic 3800, Australia
[3] Georgia Inst Technol, Ctr Relativist Astrophys, Atlanta, GA 30332 USA
[4] Georgia Inst Technol, Sch Phys, Atlanta, GA 30332 USA
[5] ARC Ctr Excellence All Sky Astrophys 3 Dimens AST, Canberra, ACT 2611, Australia
[6] Flatiron Inst, Ctr Computat Astrophys, 162 5th Ave, New York, NY 10010 USA
基金
澳大利亚研究理事会; 美国国家科学基金会;
关键词
GRAVITATIONAL-WAVES; SIMULATIONS;
D O I
10.1103/PhysRevD.102.043011
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Detection and parameter estimation of binary neutron star merger remnants can shed light on the physics of hot matter at supranuclear densities. Here we develop a fast, simple model that can generate gravitational waveforms, and show it can be used for both detection and parameter estimation of postmerger remnants. The model consists of three exponentially damped sinusoids with a linear frequency-drift term. We test the model against nine equal-mass numerical-relativity simulations selected for emission of gravitational waves for greater than or similar to 25 ms. The median fitting factors between the model waveforms and numerical-relativity simulations exceed 0.90. We detect remnants at a postmerger signal-to-noise ratio of >= 7 using a Bayes-factor detection statistic with a threshold of 3000. We can constrain the primary postmerger frequency to +/-(1.4)(1.2)% at postmerger signal-to-noise ratios of 15 with an increase in precision to +/-(0.3)(0.2)% for postmerger signal-to-noise ratios of 50. The tidal coupling constant can be constrained to +/-(9)(12)% at postmerger signal-to-noise ratios of 15, and +/- 5% at postmerger signal-to-noise ratios of 50 using a hierarchical inference model.
引用
收藏
页数:14
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