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AT2017gfo: Bayesian inference and model selection of multicomponent kilonovae and constraints on the neutron star equation of state

Journal Article · · Monthly Notices of the Royal Astronomical Society
 [1];  [2];  [3];  [4];  [3];  [5];  [6]
  1. Friedrich Schiller Univ., Jena (Germany); The Pennsylvania State University
  2. Univ. of Trento (Italy); Trento Institute for Fundamental Physics and Applications (Italy)
  3. Friedrich Schiller Univ., Jena (Germany)
  4. Univ. of Pisa (Italy); Istituto Nazionale di Fisica Nucleare (INFN), Pisa (Italy)
  5. Pennsylvania State Univ., University Park, PA (United States)
  6. Gran Sasso Science Institute, L'aquila (Italy); Istituto Nazionale di Fisica Nucleare (INFN), Perugia (Italy); Istituto Nazionale di Astrofisica (INAF), Teramo (Italy). Observatory of Abruzzo
The joint detection of the gravitational wave GW170817, of the short γ-ray burst GRB170817A and of the kilonova AT2017gfo, generated by the the binary neutron star (NS) merger observed on 2017 August 17, is a milestone in multimessenger astronomy and provides new constraints on the NS equation of state. We perform Bayesian inference and model selection on AT2017gfo using semi-analytical, multicomponents models that also account for non-spherical ejecta. Observational data favour anisotropic geometries to spherically symmetric profiles, with a log-Bayes’ factor of ~104, and favour multicomponent models against single-component ones. The best-fitting model is an anisotropic three-component composed of dynamical ejecta plus neutrino and viscous winds. Using the dynamical ejecta parameters inferred from the best-fitting model and numerical–relativity relations connecting the ejecta properties to the binary properties, we constrain the binary mass ratio to q < 1.54 and the reduced tidal parameter to $$120\lt \tilde{\Lambda }\lt 1110$$. Finally, we combine the predictions from AT2017gfo with those from GW170817, constraining the radius of a NS of 1.4 M to 12.2 ± 0.5 km (1σ level). This prediction could be further strengthened by improving kilonova models with numerical-relativity information.
Research Organization:
Pennsylvania State Univ., University Park, PA (United States)
Sponsoring Organization:
DFG; European Union; National Science Foundation (NSF); USDOE Office of Science (SC), Nuclear Physics (NP)
Grant/Contract Number:
SC0021177
OSTI ID:
1865193
Journal Information:
Monthly Notices of the Royal Astronomical Society, Journal Name: Monthly Notices of the Royal Astronomical Society Journal Issue: 2 Vol. 505; ISSN 0035-8711
Publisher:
Royal Astronomical SocietyCopyright Statement
Country of Publication:
United States
Language:
English

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