Fast and Accurate Prediction of Numerical Relativity Waveforms from Binary Black Hole Coalescences Using Surrogate Models

被引：149

作者：

Blackman, Jonathan ^{[1
]}

Field, Scott E. ^{[2
]}

Galley, Chad R. ^{[1
]}

Szilagyi, Bela ^{[1
]}

Scheel, Mark A. ^{[1
]}

Tiglio, Manuel ^{[3
]}

Hemberger, Daniel A. ^{[1
]}

机构：

[1] CALTECH, Walter Burke Inst Theoret Phys, TAPIR, Pasadena, CA 91125 USA

[2] Cornell Univ, Ctr Radiophys & Space Res, Ithaca, NY 14853 USA

[3] Univ Calif San Diego, San Diego Supercomp Ctr, Ctr Computat Math, Ctr Astrophys & Space Sci, La Jolla, CA 92093 USA

来源：

PHYSICAL REVIEW LETTERS | 2015年 / 115卷 / 12期

基金：

美国国家科学基金会; 加拿大自然科学与工程研究理事会;

关键词：

Gravitation - Fuel additives - Numerical models - Relativity - Stars - Uncertainty analysis;

D O I：

10.1103/PhysRevLett.115.121102

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Simulating a binary black hole coalescence by solving Einstein's equations is computationally expensive, requiring days to months of supercomputing time. Using reduced order modeling techniques, we construct an accurate surrogate model, which is evaluated in a millisecond to a second, for numerical relativity (NR) waveforms from nonspinning binary black hole coalescences with mass ratios in [1, 10] and durations corresponding to about 15 orbits before merger. We assess the model's uncertainty and show that our modeling strategy predicts NR waveforms not used for the surrogate's training with errors nearly as small as the numerical error of the NR code. Our model includes all spherical-harmonic Y--2(lm) waveform modes resolved by the NR code up to l = 8. We compare our surrogate model to effective one body waveforms from 50M(circle dot) to 300M(circle dot) for advanced LIGO detectors and find that the surrogate is always more faithful (by at least an order of magnitude in most cases).

引用

页数：6

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