A Surrogate model of gravitational waveforms from numerical relativity simulations of precessing binary black hole mergers

被引:105
|
作者
Blackman, Jonathan [1 ]
Field, Scott E. [2 ,3 ]
Scheel, Mark A. [1 ]
Galley, Chad R. [1 ]
Hemberger, Daniel A. [1 ]
Schmidt, Patricia [1 ,4 ]
Smith, Rory [1 ,4 ]
机构
[1] CALTECH, Theoret Astrophys 350-17, Pasadena, CA 91125 USA
[2] Cornell Univ, Cornell Ctr Astrophys & Planetary Sci, Ithaca, NY 14853 USA
[3] Univ Massachusetts, Dept Math, Dartmouth, MA 02747 USA
[4] CALTECH, LIGO Lab, MS 100-36, Pasadena, CA 91125 USA
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
GREEDY ALGORITHMS; MEMORY;
D O I
10.1103/PhysRevD.95.104023
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We present the first surrogate model for gravitational waveforms from the coalescence of precessing binary black holes. We call this surrogate model NRSur4d2s. Our methodology significantly extends recently introduced reduced-order and surrogate modeling techniques, and is capable of directly modeling numerical relativity waveforms without introducing phenomenological assumptions or approximations to general relativity. Motivated by GW150914, LIGO's first detection of gravitational waves from merging black holes, the model is built from a set of 276 numerical relativity (NR) simulations with mass ratios q <= 2, dimensionless spin magnitudes up to 0.8, and the restriction that the initial spin of the smaller black hole lies along the axis of orbital angular momentum. It produces waveforms which begin similar to 30 gravitational wave cycles before merger and continue through ringdown, and which contain the effects of precession as well as all l is an element of{2,3} spin-weighted spherical-harmonic modes. We perform cross-validation studies to compare the model to NR waveforms not used to build the model and find a better agreement within the parameter range of the model than other, state-of-the-art precessing waveform models, with typical mismatches of 10(-3). We also construct a frequency domain surrogate model (called NRSur4d2s_FDROM) which can be evaluated in 50 ms and is suitable for performing parameter estimation studies on gravitational wave detections similar to GW150914.
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页数:35
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