CaltechAUTHORS
  A Caltech Library Service

Surrogate model for gravitational wave signals from comparable and large-mass-ratio black hole binaries

Rifat, Nur E. M. and Field, Scott E. and Khanna, Gaurav and Varma, Vijay (2020) Surrogate model for gravitational wave signals from comparable and large-mass-ratio black hole binaries. Physical Review D, 101 (8). Art. No. 081502. ISSN 2470-0010. https://resolver.caltech.edu/CaltechAUTHORS:20200422-100239628

[img] PDF - Published Version
See Usage Policy.

548Kb
[img] PDF - Submitted Version
See Usage Policy.

583Kb

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20200422-100239628

Abstract

Gravitational wave signals from compact astrophysical sources such as those observed by LIGO and Virgo require a high-accuracy, theory-based waveform model for the analysis of the recorded signal. Current inspiral-merger-ringdown models are calibrated only up to moderate mass ratios, thereby limiting their applicability to signals from high-mass-ratio binary systems. We present EMRISur1dq1e4, a reduced-order surrogate model for gravitational waveforms of 13   500     M in duration and including several harmonic modes for nonspinning black hole binary systems with mass ratios varying from 3 to 10000, thus vastly expanding the parameter range beyond the current models. This surrogate model is trained on waveform data generated by point-particle black hole perturbation theory (ppBHPT) both for large-mass-ratio and comparable mass-ratio binaries. We observe that the gravitational waveforms generated through a simple application of ppBHPT to the comparable mass-ratio cases agree surprisingly well with those from full numerical relativity after a rescaling of the ppBHPT’s total mass parameter. This observation and the EMRISur1dq1e4 surrogate model will enable data analysis studies in the high-mass-ratio regime, including potential intermediate-mass-ratio signals from LIGO/Virgo and extreme-mass-ratio events of interest to the future space-based observatory LISA.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1103/PhysRevD.101.081502DOIArticle
https://journals.aps.org/prd/abstract/10.1103/PhysRevD.101.081502PublisherArticle
https://arxiv.org/abs/1910.10473arXivDiscussion Paper
ORCID:
AuthorORCID
Varma, Vijay0000-0002-9994-1761
Additional Information:© 2020 American Physical Society. Received 28 October 2019; accepted 2 April 2020; published 22 April 2020. We would like to thank Alessandra Buonanno, Scott A. Hughes, Rahul Kashyap, Steve Liebling, Richard Price, Michael Pürrer, Niels Warburton, and Anil Zenginoglu for helpful feedback on this manuscript. We also thank Tousif Islam, for significant assistance with porting the surrogate model to the Black Hole Perturbation Toolkit, and Matt Giesler and Mark Scheel, for allowing us to use their new q = 15 NR simulation in our study. Many of the ppBHPT model computations were performed on the MIT/IBM Satori GPU supercomputer supported by the Massachusetts Green High Performance Computing Center (MGHPCC). N. E. M. R. and G. K. acknowledge research support from NSF Grants No. PHY-1701284 and No. DMS-1912716 and ONR/DURIP Grant No. N00014181255. S. E. F. is partially supported by NSF Grant No. PHY-1806665. We also thank Scott A. Hughes for his open-source code GremlinEq, which is part of the Black Hole Perturbation Toolkit [77]. This code enabled us to compute the decaying trajectories using the energy-balance approach. V. V. is supported by the Sherman Fairchild Foundation, and NSF Grants No. PHY-170212 and No. PHY-1708213 at Caltech.
Group:TAPIR
Funders:
Funding AgencyGrant Number
NSFPHY-1701284
NSFDMS-1912716
Office of Naval Research (ONR)N00014181255
NSFPHY-1806665
Sherman Fairchild FoundationUNSPECIFIED
NSFPHY-170212
NSFPHY-1708213
Issue or Number:8
Record Number:CaltechAUTHORS:20200422-100239628
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200422-100239628
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:102716
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:22 Apr 2020 17:16
Last Modified:22 Apr 2020 17:16

Repository Staff Only: item control page