Coalescence of binary neutron stars in a scalar-tensor theory of gravity

Masaru Shibata, Keisuke Taniguchi, Hirotada Okawa, Alessandra Buonanno

Research output: Contribution to journalArticle

65 Citations (Scopus)

Abstract

We carry out numerical-relativity simulations of coalescing binary neutron stars in a scalar-tensor theory that admits spontaneous scalarization. We model neutron stars with realistic equations of state. We choose the free parameters of the theory taking into account the constraints imposed by the latest observations of neutron-star-white-dwarf binaries with pulsar timing. We show that even within those severe constraints, scalarization can still affect the evolution of the binary neutron stars, not only during the late inspiral but also during the merger stage. We also confirm that even when both neutron stars have quite small scalar charge at large separations, they can be strongly scalarized dynamically during the final stages of the inspiral. In particular, we identify the binary parameters for which scalarization occurs either during the late inspiral or only after the onset of the merger when a remnant, supramassive, or hypermassive neutron star is formed. We also discuss how those results can impact the extraction of physical information on gravitational waves once they are detected.

Original languageEnglish
Article number084005
JournalPhysical Review D - Particles, Fields, Gravitation and Cosmology
Volume89
Issue number8
DOIs
Publication statusPublished - 2014 Apr 2
Externally publishedYes

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binary stars
coalescing
neutron stars
tensors
gravitation
scalars
pulsars
gravitational waves
relativity
equations of state
time measurement
simulation

ASJC Scopus subject areas

  • Nuclear and High Energy Physics

Cite this

Coalescence of binary neutron stars in a scalar-tensor theory of gravity. / Shibata, Masaru; Taniguchi, Keisuke; Okawa, Hirotada; Buonanno, Alessandra.

In: Physical Review D - Particles, Fields, Gravitation and Cosmology, Vol. 89, No. 8, 084005, 02.04.2014.

Research output: Contribution to journalArticle

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