Bayesian constraints on covariant density functional equations of state of compact stars with new NICER mass-radius measurements

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 $2M_{\odot }$. 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.

11 pages, 4 figures and 5 tables

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Cited by in corpus (7)

• Cross-Comparison of Sampling Algorithms for Pulse Profile Modeling of PSR J0740+6620
• Bayesian inferences on covariant density functionals from multimessenger astrophysical data: Nucleonic models
• Equation-of-state-informed pulse profile modeling
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• Bayesian inferences on covariant density functionals from multimessenger astrophysical data: Influences of parametrizations of density dependent couplings