Observational tests of the black hole area increase law

Miriam Cabero, Collin D. Capano, Ofek Fischer-Birnholtz, Badri Krishnan, Alex B. Nielsen, Alexander H. Nitz, and Christopher M. Biwer
Phys. Rev. D 97, 124069 – Published 28 June 2018

Abstract

The black hole area theorem implies that when two black holes merge, the area of the final black hole should be greater than the sum of the areas of the two original black holes. We examine how this prediction can be tested with gravitational-wave observations of binary black holes. By separately fitting the early inspiral and final ringdown stages, we calculate the posterior distributions for the masses and spins of the two initial and the final black holes. This yields posterior distributions for the change in the area and thus a statistical test of the validity of the area increase law. We illustrate this method with a GW150914-like binary black hole waveform calculated using numerical relativity, and detector sensitivities representative of both the first observing run and the design configuration of Advanced LIGO. We obtain a 74.6% probability that the simulated signal is consistent with the area theorem with current sensitivity, improving to 99.9% when Advanced LIGO reaches design sensitivity. An important ingredient in our test is a method of estimating when the postmerger signal is well fit by a damped sinusoid ringdown waveform.

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  • Received 29 November 2017

DOI:https://doi.org/10.1103/PhysRevD.97.124069

© 2018 American Physical Society

Physics Subject Headings (PhySH)

Gravitation, Cosmology & Astrophysics

Authors & Affiliations

Miriam Cabero1,2,*, Collin D. Capano1,2, Ofek Fischer-Birnholtz1,2,5, Badri Krishnan1,2, Alex B. Nielsen1,2, Alexander H. Nitz1,2, and Christopher M. Biwer3,4

  • 1Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Callinstrasse 38, D-30167 Hannover, Germany
  • 2Leibniz Universität Hannover, Welfengarten 1-A, D-30167 Hannover, Germany
  • 3Department of Physics, Syracuse University, Syracuse, New York 13244, USA
  • 4Applied Computer Science (CCS-7), Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
  • 5Center for Computational Relativity and Gravitation, Rochester Institute of Technology, Rochester, New York 14623, USA

  • *miriam.cabero@aei.mpg.de

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Issue

Vol. 97, Iss. 12 — 15 June 2018

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