New Bayesian analysis of hybrid EoS constraints with mass-radius data for compact stars

TL;DR

This paper introduces a Bayesian method to analyze mass-radius data of compact stars, aiming to better understand the nuclear matter equations of state and the nature of phase transitions within these stars.

Contribution

It presents a novel Bayesian framework that incorporates disjunct mass-radius constraints to evaluate the probability of different nuclear matter equations of state.

Findings

Bayesian analysis provides probabilistic constraints on EoS models.

Evidence for or against a first-order deconfinement transition in compact stars.

Implications for the QCD phase diagram and heavy-ion collision experiments.

Abstract

We suggest a new Bayesian analysis using disjunct mass and radius constraints for extracting probability measures for cold, dense nuclear matter equations of state. One of the key issues of such an analysis is the question of a deconfinement transition in compact stars and whether it proceeds as a crossover or rather as a first order transition. The latter question is relevant for the possible existence of a critical endpoint in the QCD phase diagram under scrutiny in present and upcoming heavy-ion collision experiments.