English

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

High Energy Astrophysical Phenomena 2021-02-05 v3

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 Λ~[302,860]\tilde{\Lambda} \in [302,860], total binary mass M[2.722,2.751]MM \in [2.722,2.751] M_\odot, the radius of a 1.41.4 solar mass neutron star R[11.3,13.5]kmR \in [11.3,13.5] \rm km (with additional 0.2 km0.2\ \rm km systematic uncertainty), and an upper bound on the mass ratio of q1.27q \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.

Keywords

Cite

@article{arxiv.1812.04803,
  title  = {Multi-messenger Bayesian parameter inference of a binary neutron-star merger},
  author = {Michael W. Coughlin and Tim Dietrich and Ben Margalit and Brian D. Metzger},
  journal= {arXiv preprint arXiv:1812.04803},
  year   = {2021}
}
R2 v1 2026-06-23T06:39:49.966Z