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arXiv · 1812.04803

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

Michael W. Coughlin·Tim Dietrich·Ben Margalit·Brian D. Metzger
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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 $\tilde{\Lambda} \in [302,860]$, total binary mass $M \in [2.722,2.751] M_\odot$, the radius of a $1.4$ solar mass neutron star $R \in [11.3,13.5] \rm km$ (with additional $0.2\ \rm km$ systematic uncertainty), and an upper bound on the mass ratio of $q \leq 1.27$, 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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Michael W. Coughlin, Tim Dietrich, Ben Margalit, Brian D. Metzger. 2018-12-12. Multi-messenger Bayesian parameter inference of a binary neutron-star merger. https://doi.org/10.1093/mnrasl%2Fslz133

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