期刊
PHYSICAL REVIEW LETTERS
卷 115, 期 12, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevLett.115.121102
关键词
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资金
- NSF [CAREER PHY-0956189, PHY-1068881, PHY-1005655, PHY-1440083, PHY-1404569, AST-1333520, PHY-1306125, AST-1333129, PHY-1500818, PHY-1208861, PHY-1316424, PHY-0960291]
- NSERC of Canada
- Sherman Fairchild Foundation
- Direct For Mathematical & Physical Scien
- Division Of Physics [0956189] Funding Source: National Science Foundation
- Direct For Mathematical & Physical Scien
- Division Of Physics [1404569, 1500818] Funding Source: National Science Foundation
- Division Of Astronomical Sciences
- Direct For Mathematical & Physical Scien [1333520] Funding Source: National Science Foundation
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).
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