Bayesian constraints on covariant density functional equations of state of compact stars with new NICER mass-radius measurements
Jia Jie Li, Yu Tian, Armen Sedrakian
Abstract
Recent advancements in astrophysical observations of compact stars, particularly the new and updated NICER constraints, have provided mass-radius ( M - R ) data for pulsars spanning masses from 1 to 2 M ⊙ . These data offer a unique opportunity to test modern theories of dense matter using multi-messenger constraints. Covariant density functional (CDF) models of nuclear matter, which capture a broad range of nuclear and astrophysical phenomena, provide a robust theoretical framework to interpret these observations. This study applies the Bayesian framework to a class of CDF models with density-dependent meson-nucleon couplings, specifically those based on nucleonic degrees of freedom. By incorporating the latest multi-messenger constraints, we impose tighter limits on the parameter space of these models and assess their consistency with observational data. Our analysis advances previous efforts by refining the density-dependence parameterization and integrating recent M - R ellipses. This enables more stringent evaluations of dense matter models in light of new astrophysical observations.