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

Jonathan Blackman, Scott E Field, Chad R Galley, Béla Szilágyi, Mark A Scheel, Manuel Tiglio, Daniel A Hemberger
Author Information
  1. Jonathan Blackman: TAPIR, Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, California 91125, USA.
  2. Scott E Field: Center for Radiophysics and Space Research, Cornell University, Ithaca, New York 14853, USA.
  3. Chad R Galley: TAPIR, Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, California 91125, USA.
  4. Béla Szilágyi: TAPIR, Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, California 91125, USA.
  5. Mark A Scheel: TAPIR, Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, California 91125, USA.
  6. Manuel Tiglio: Center for Astrophysics and Space Sciences, Center for Computational Mathematics, San Diego Supercomputer Center, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093-0424, USA.
  7. Daniel A Hemberger: TAPIR, Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, California 91125, USA.

Abstract

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 _{-2}Y_{ℓm} waveform modes resolved by the NR code up to ℓ=8. We compare our surrogate model to effective one body waveforms from 50M_{⊙} to 300M_{⊙} for advanced LIGO detectors and find that the surrogate is always more faithful (by at least an order of magnitude in most cases).

Word Cloud

Created with Highcharts 10.0.0NRsurrogatemodelwaveformsbinaryblackholeUsingordermodelingnumericalcodeSimulatingcoalescencesolvingEinstein'sequationscomputationallyexpensiverequiringdaysmonthssupercomputingtimereducedtechniquesconstructaccurateevaluatedmillisecondsecondrelativitynonspinningcoalescencesmassratios[110]durationscorresponding15orbitsmergerassessmodel'suncertaintyshowstrategypredictsusedsurrogate'strainingerrorsnearlysmallerrorincludesspherical-harmonic_{-2}Y_{ℓm}waveformmodesresolvedℓ=8compareeffectiveonebody50M_{⊙}300M_{⊙}advancedLIGOdetectorsfindalwaysfaithfulleastmagnitudecasesFastAccuratePredictionNumericalRelativityWaveformsBinaryBlackHoleCoalescencesSurrogateModels

Similar Articles

Cited By (1)