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Eccentric binary black hole surrogate models for the gravitational waveform and remnant properties: Comparable mass, nonspinning case

Islam, Tousif and Varma, Vijay and Lodman, Jackie and Field, Scott E. and Khanna, Gaurav and Scheel, Mark A. and Pfeiffer, Harald P. and Gerosa, Davide and Kidder, Lawrence E. (2021) Eccentric binary black hole surrogate models for the gravitational waveform and remnant properties: Comparable mass, nonspinning case. Physical Review D, 103 (6). Art. No. 064022. ISSN 2470-0010. doi:10.1103/physrevd.103.064022.

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We develop new strategies to build numerical relativity surrogate models for eccentric binary black hole systems, which are expected to play an increasingly important role in current and future gravitational-wave detectors. We introduce a new surrogate waveform model, NRSur2dq1Ecc, using 47 nonspinning, equal-mass waveforms with eccentricities up to 0.2 when measured at a reference time of 5500M before merger. This is the first waveform model that is directly trained on eccentric numerical relativity simulations and does not require that the binary circularizes before merger. The model includes the (2,2), (3,2), and (4,4) spin-weighted spherical harmonic modes. We also build a final black hole model, NRSur2dq1EccRemnant, which models the mass, and spin of the remnant black hole. We show that our waveform model can accurately predict numerical relativity waveforms with mismatches ≈10⁻³, while the remnant model can recover the final mass and dimensionless spin with absolute errors smaller than ≈5×10⁻⁴M and ≈2×10⁻³ respectively. We demonstrate that the waveform model can also recover subtle effects like mode mixing in the ringdown signal without any special ad hoc modeling steps. Finally, we show that despite being trained only on equal-mass binaries, NRSur2dq1Ecc can be reasonably extended up to mass ratio q≈3 with mismatches ≃10⁻² for eccentricities smaller than ∼0.05 as measured at a reference time of 2000M before merger. The methods developed here should prove useful in the building of future eccentric surrogate models over larger regions of the parameter space.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Islam, Tousif0000-0002-3434-0084
Varma, Vijay0000-0002-9994-1761
Lodman, Jackie0000-0003-0923-9440
Khanna, Gaurav0000-0002-2565-8170
Scheel, Mark A.0000-0001-6656-9134
Pfeiffer, Harald P.0000-0001-9288-519X
Gerosa, Davide0000-0002-0933-3579
Kidder, Lawrence E.0000-0001-5392-7342
Additional Information:© 2021 American Physical Society. Received 29 January 2021; accepted 22 February 2021; published 16 March 2021. We thank Geraint Pratten for comments on the manuscript. We thank Nur Rifat and Feroz Shaik for helpful discussions. We thank Katerina Chatziioannou for the implementation of an improved eccentricity control system used in many of our simulations. T. I. is supported by NSF Grant No. PHY-1806665 and a doctoral fellowship provided by UMassD Graduate Studies. V. V. is supported by a Klarman Fellowship at Cornell, the Sherman Fairchild Foundation, and NSF Grants No. PHY-170212 and No. PHY-1708213 at Caltech. J. L. is supported by the Caltech Summer Undergraduate Research Fellowship Program and the Rose Hills Foundation. S. F. is supported by NSF Grants No. PHY-1806665 and No. DMS-1912716. G. K. acknowledges research support from NSF Grants No. PHY-2106755 and No. DMS-1912716. M. S. is supported by Sherman Fairchild Foundation and by NSF Grants No. PHY-2011961, No. PHY-2011968, and No. OAC-1931266 at Caltech. D. G. is supported by European Union H2020 ERC Starting Grant No. 945155-GWmining, Leverhulme Trust Grant No. RPG-2019-350, and Royal Society Grant No. RGS-R2-202004. L. K. is supported by the Sherman Fairchild Foundation, and NSF Grants No. PHY-1912081 and No. OAC-1931280 at Cornell. A portion of this work was carried out while a subset of the authors were in residence at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, RI, during the Advances in Computational Relativity program. I. C. E. R. M. is supported by the National Science Foundation under Grant No. DMS-1439786. Simulations were performed on the Wheeler cluster at Caltech, which is supported by the Sherman Fairchild Foundation and by Caltech; and on CARNiE at the Center for Scientific Computing and Visualization Research (CSCVR) of UMassD, which is supported by the ONR/DURIP Grant No. N00014181255. Computations for building the model were performed on both CARNiE and Wheeler.
Funding AgencyGrant Number
University of MassachusettsUNSPECIFIED
Cornell UniversityUNSPECIFIED
Sherman Fairchild FoundationUNSPECIFIED
Caltech Summer Undergraduate Research Fellowship (SURF)UNSPECIFIED
Rose Hills FoundationUNSPECIFIED
European Research Council (ERC)945155
Leverhulme TrustRPG-2019-350
Royal SocietyRGS-R2-202004
Office of Naval Research (ONR)N00014181255
Issue or Number:6
Record Number:CaltechAUTHORS:20210421-163205205
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:108794
Deposited By: Tony Diaz
Deposited On:23 Apr 2021 18:24
Last Modified:23 Apr 2021 18:24

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