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Existence and stability of marginally trapped surfaces in black-hole spacetimes

Daniel Pook-Kolb, Ofek Birnholtz, Badri Krishnan, and Erik Schnetter
Phys. Rev. D 99, 064005 – Published 6 March 2019

Abstract

Marginally outer trapped surfaces (MOTSs, or marginal surfaces in short) are routinely used in numerical simulations of black-hole spacetimes. They are an invaluable tool for locating and characterizing black holes quasilocally in real time while the simulation is ongoing. It is often believed that a MOTS can behave unpredictably under time evolution; an existing MOTS can disappear, and a new one can appear without any apparent reason. In this paper we show that in fact the behavior of a MOTS is perfectly predictable and its behavior is dictated by a single real parameter, the stability parameter, which can be monitored during the course of a numerical simulation. We demonstrate the utility of the stability parameter to fully understand the variety of marginal surfaces that can be present in binary black-hole initial data. We also develop a new horizon finder capable of locating very highly distorted marginal surfaces and we show that even in these cases, the stability parameter perfectly predicts the existence and stability of marginal surfaces.

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  • Received 3 December 2018

DOI:https://doi.org/10.1103/PhysRevD.99.064005

© 2019 American Physical Society

Physics Subject Headings (PhySH)

Gravitation, Cosmology & Astrophysics

Authors & Affiliations

Daniel Pook-Kolb1,2, Ofek Birnholtz3, Badri Krishnan1,2, and Erik Schnetter4,5,6

  • 1Max-Planck-Institut für Gravitationsphysik (Albert Einstein Institute), Callinstrasse 38, 30167 Hannover, Germany
  • 2Leibniz Universität Hannover, 30167 Hannover, Germany
  • 3Center for Computational Relativity and Gravitation, Rochester Institute of Technology, 170 Lomb Memorial Drive, Rochester, New York 14623, USA
  • 4Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5, Canada
  • 5Physics and Astronomy Department, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
  • 6Center for Computation and Technology, Louisiana State University, Baton Rouge, Louisiana 70803, USA

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Issue

Vol. 99, Iss. 6 — 15 March 2019

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