A no-hair test for binary black holes

Siddharth Dhanpal, Abhirup Ghosh, Ajit Kumar Mehta, Parameswaran Ajith, Bangalore S. Sathyaprakash

Research output: Contribution to journalArticle

Abstract

One of the consequences of the black-hole "no-hair" theorem in general relativity (GR) is that gravitational radiation (quasinormal modes) from a perturbed Kerr black hole is uniquely determined by its mass and spin. Thus, the spectrum of quasinormal mode frequencies have to be all consistent with the same value of the mass and spin. Similarly, the gravitational radiation from a coalescing binary black hole system is uniquely determined by a small number of parameters (masses and spins of the black holes and orbital parameters). Thus, consistency between different spherical harmonic modes of the radiation is a powerful test that the observed system is a binary black hole predicted by GR. We formulate such a test, develop a Bayesian implementation, demonstrate its performance on simulated data, and investigate the possibility of performing such a test using previous and upcoming gravitational wave observations.

Original languageEnglish (US)
Article number104056
JournalPhysical Review D
Volume99
Issue number10
DOIs
StatePublished - May 15 2019

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hair
gravitational waves
relativity
spherical harmonics
coalescing
theorems
orbitals
radiation

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy (miscellaneous)

Cite this

Dhanpal, Siddharth ; Ghosh, Abhirup ; Mehta, Ajit Kumar ; Ajith, Parameswaran ; Sathyaprakash, Bangalore S. / A no-hair test for binary black holes. In: Physical Review D. 2019 ; Vol. 99, No. 10.
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Dhanpal, S, Ghosh, A, Mehta, AK, Ajith, P & Sathyaprakash, BS 2019, 'A no-hair test for binary black holes', Physical Review D, vol. 99, no. 10, 104056. https://doi.org/10.1103/PhysRevD.99.104056

A no-hair test for binary black holes. / Dhanpal, Siddharth; Ghosh, Abhirup; Mehta, Ajit Kumar; Ajith, Parameswaran; Sathyaprakash, Bangalore S.

In: Physical Review D, Vol. 99, No. 10, 104056, 15.05.2019.

Research output: Contribution to journalArticle

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