Published in

Oxford University Press (OUP), Monthly Notices of the Royal Astronomical Society: Letters, 2019

DOI: 10.1093/mnrasl/slz133

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Multi-messenger Bayesian parameter inference of a binary neutron-star merger

Journal article published in 2019 by Michael W. Coughlin ORCID, Tim Dietrich, Ben Margalit ORCID, Brian D. Metzger
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Data provided by SHERPA/RoMEO

Abstract

Abstract The combined detection of a binary neutron-star merger in both gravitational waves (GWs) and electromagnetic (EM) radiation spanning the entire spectrum – GW170817 / AT2017gfo / GRB170817A – marks a breakthrough in the field of multi-messenger astronomy. Between the plethora of modeling and observations, the rich synergy that exists among the available data sets creates a unique opportunity to constrain the binary parameters, the equation of state of supranuclear density matter, and the physical processes at work during the kilonova and gamma-ray burst. We report, for the first time, Bayesian parameter estimation combining information from GW170817, AT2017gfo, GRB170817 to obtain truly multi-messenger constraints on the tidal deformability $\tilde{\Lambda } 𝟄 [302,860]$, total binary mass M ∈ [2.722, 2.751]M⊙, the radius of a 1.4 solar mass neutron star $R 𝟄 [11.3,13.5] \rm km$ (with additional $0.2\ \rm km$ systematic uncertainty), and an upper bound on the mass ratio of q ≤ 1.27, all at 90% confidence. Our joint novel analysis makes use of new phenomenological descriptions of the dynamical ejecta, debris disk mass, and remnant black hole properties, all derived from a large suite of numerical relativity simulations.

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