Surrogate model for gravitational wave signals from comparable and large-mass-ratio black hole binaries

被引：57

作者：

Rifat, Nur E. M. ^{[1
,2
]}

Field, Scott E. ^{[2
,3
]}

Khanna, Gaurav ^{[1
,2
]}

Varma, Vijay ^{[4
]}

机构：

[1] Univ Massachusetts, Dept Phys, Dartmouth, MA 02747 USA

[2] Univ Massachusetts, Ctr Sci Comp & Visualizat Res, Dartmouth, MA 02747 USA

[3] Univ Massachusetts, Dept Math, Dartmouth, MA 02747 USA

[4] CALTECH, Theoret Astrophys, Pasadena, CA 91125 USA

来源：

PHYSICAL REVIEW D | 2020年 / 101卷 / 08期

关键词：

EVALUATE HOMOGENEOUS SOLUTIONS; TEUKOLSKY EQUATION; NUMERICAL-METHODS;

D O I：

10.1103/PhysRevD.101.081502

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

Gravitational wave signals from compact astrophysical sources such as those observed by LIGO and Virgo require a high-accuracy, theory-based waveform model for the analysis of the recorded signal. Current inspiral-merger-ringdown models are calibrated only up to moderate mass ratios, thereby limiting their applicability to signals from high-mass-ratio binary systems. We present EMRISur1dq1e4, a reduced-order surrogate model for gravitational waveforms of 13 500 M in duration and including several harmonic modes for nonspinning black hole binary systems with mass ratios varying from 3 to 10000, thus vastly expanding the parameter range beyond the current models. This surrogate model is trained on waveform data generated by point-particle black hole perturbation theory (ppBHPT) both for large-mass-ratio and comparable mass-ratio binaries. We observe that the gravitational waveforms generated through a simple application of ppBHPT to the comparable mass-ratio cases agree surprisingly well with those from full numerical relativity after a resealing of the ppBHPT's total mass parameter. This observation and the EMRISur1dq1e4 surrogate model will enable data analysis studies in the high-mass-ratio regime, including potential intermediate-mass-ratio signals from LIGONirgo and extreme-mass-ratio events of interest to the future space-based observatory LISA.

引用

页数：8

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