Bayesian Analysis for Extracting Properties of the Nuclear Equation of State from Observational Data Including Tidal Deformability from GW170817

Bayesian Analysis for Extracting Properties of the Nuclear Equation of State from Observational Data Including Tidal Deformability from GW170817

We develop a Bayesian analysis method for selecting the most probable equation of state under a set of constraints from compact star physics, which now include the tidal deformability from GW170817. We apply this method for the first time to a two-parameter family of hybrid equations of state that i...

Full description

Bibliographic Details
Main Authors: Alexander Ayriyan, David Alvarez-Castillo, David Blaschke, Hovik Grigorian
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Universe
Subjects:
bayesian analysis
quark–hadron phase transition
pasta phases
hybrid compact stars
mass–radius relation
GW170817
tidal deformability
Online Access:https://www.mdpi.com/2218-1997/5/2/61

Similar Items

Similar Items