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Published June 15, 2021 | Published + Accepted Version
Journal Article Open

Comparing remnant properties from horizon data and asymptotic data in numerical relativity

Abstract

We present a new study of remnant black hole properties from 13 binary black hole systems, numerically evolved using the Spectral Einstein Code. The mass, spin, and recoil velocity of each remnant were determined quasilocally from apparent horizon data and asymptotically from Bondi data (h,ψ₄,ψ₃,ψ₂,ψ₁) computed at future null infinity using SpECTRE's Cauchy characteristic evolution. We compare these independent measurements of the remnant properties in the bulk and on the boundary of the spacetime, giving insight into how well asymptotic data are able to reproduce local properties of the remnant black hole in numerical relativity. We also discuss the theoretical framework for connecting horizon quantities to asymptotic quantities and how it relates to our results. This study recommends a simple improvement to the recoil velocities reported in the Simulating eXtreme Spacetimes waveform catalog, provides an improvement to future surrogate remnant models, and offers new analysis techniques for evaluating the physical accuracy of numerical simulations.

Additional Information

© 2021 American Physical Society. Received 14 April 2021; accepted 3 May 2021; published 10 June 2021. The authors would like to thank Kartik Prabhu and Vijay Varma for useful discussions. Computations were performed with the High Performance Computing Center and the Wheeler cluster at Caltech. This work was supported in part by the Sherman Fairchild Foundation and by NSF Grants No. PHY-2011961, No. PHY-2011968, and No. OAC-1931266 at Caltech, NSF Grants No. PHY-1912081 and No. OAC-1931280 at Cornell, and NSF Grants No. PHY-1806356, No. UN2017-92945 from the Urania Stott Fund of the Pittsburgh Foundation, and the Eberly research funds of Penn State at Penn State.

Attached Files

Published - PhysRevD.103.124029.pdf

Accepted Version - 2104.07052.pdf

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PhysRevD.103.124029.pdf
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Additional details

Created:
August 20, 2023
Modified:
October 23, 2023