A Bayesian analysis of the properties of hybrid stars with the NJL model
Antoine Pfaff, Hubert Hansen, Francesca Gulminelli

TL;DR
This paper uses Bayesian methods to analyze hybrid star properties with the NJL model, incorporating nuclear physics and astrophysical constraints, revealing that quark cores are small and only in very heavy stars, with limited impact on observable radii.
Contribution
It introduces a Bayesian framework for hybrid star analysis with the NJL model, including a comprehensive parameter space and multiple astrophysical and nuclear physics filters.
Findings
Vector interactions are crucial for stiffening the quark matter EoS.
Quark cores are small and only in stars with mass > 2 solar masses.
Phase transition has minimal effect on star radii.
Abstract
We implement a Bayesian analysis of the properties of non-rotating hybrid stars at equilibrium with quark matter cores, as described by the SU(3) Nambu--Jona-Lasinio (NJL) model. The hadronic phase is described by a unified metamodeling approach, with a prior parameter space covering the present uncertainties on nuclear matter properties with nucleonic degrees of freedom. The parameter space of the NJL model includes vector-isoscalar and vector-isovector couplings and, additionally, an effective bag constant for the quark pressure is introduced as a free parameter. The phase transition is assumed to be first order with charge neutral phases, following the Maxwell construction. Our Bayesian framework includes filters on the experimental and theoretical low-density nuclear physics knowledge (atomic masses, ab initio calculations of the EoS) and high density constraints from astrophysical…
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