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Surrogate Models of Gravitational Waves from Numerical Relativity Simulations of Binary Black Hole Mergers

Citation

Blackman, Jonathan Lloyd (2017) Surrogate Models of Gravitational Waves from Numerical Relativity Simulations of Binary Black Hole Mergers. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z93F4MPJ. http://resolver.caltech.edu/CaltechTHESIS:05242017-103834785

Abstract

The advanced LIGO detectors have made multiple detections of gravitational waves from the mergers of binary black hole systems, bringing us into the era of gravitational wave astronomy. From such gravitational wave detections, we can put constraints on deviations from general relativity (GR), as well as measure the masses and spins of the black holes involved in the mergers. Such measurements require knowledge of the gravitational waveforms predicted by GR for all relevant masses and spins. Numerical relativity (NR) simulations are now sufficiently robust that we can accurately simulate binary black hole mergers and obtain the waveform for all but the most extreme parameters, but they are too computationally expensive for a dense coverage of the parameter space. NR surrogate models rapidly and accurately interpolate the waveforms from a set of NR simulations over a subset of parameter space. Using the Spectral Einstein Code (SpEC), we have built several NR surrogate models for various subsets of the parameter space, culminating in a model which includes all 7 intrinsic parameter dimensions. The surrogate model waveforms are nearly as accurate as NR waveforms, and can be evaluated in milliseconds whereas a single NR simulation can take weeks.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:Numerical Relativity Surrogate Model Gravitational Waves Binary Black Hole
Degree Grantor:California Institute of Technology
Division:Physics, Mathematics and Astronomy
Major Option:Physics
Thesis Availability:Public (worldwide access)
Research Advisor(s):
  • Ott, Christian D.
Group:TAPIR
Thesis Committee:
  • Ott, Christian D. (chair)
  • Scheel, Mark
  • Chen, Yanbei
  • Weinstein, Alan Jay
  • Wise, Mark B.
Defense Date:11 May 2017
Record Number:CaltechTHESIS:05242017-103834785
Persistent URL:http://resolver.caltech.edu/CaltechTHESIS:05242017-103834785
DOI:10.7907/Z93F4MPJ
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1103/PhysRevD.95.104023DOIArticle adapted for Ch. 6.
http://dx.doi.org/10.1103/PhysRevLett.115.121102DOIArticle adapted for Ch. 5.
http://dx.doi.org/10.1103/PhysRevLett.113.021101DOIArticle adapted for Ch. 3.
http://dx.doi.org/10.1103/PhysRevLett.115.031102DOIArticle adapted for Ch. 4.
http://dx.doi.org//10.1103/PhysRevLett.117.061102DOIArticle described in Ch. 8.1.
http://dx.doi.org/10.1103/PhysRevLett.118.161101DOIArticle described in Ch. 8.3.
ORCID:
AuthorORCID
Blackman, Jonathan Lloyd0000-0002-7113-0289
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:10197
Collection:CaltechTHESIS
Deposited By: Jonathan Blackman
Deposited On:03 Jun 2017 00:07
Last Modified:12 Dec 2018 22:42

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