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

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⊙. 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.

Authors

Publication Details

Journal
Physics Letters B
Published
2025-04-25
DOI
https://doi.org/10.1016/j.physletb.2025.139501
Citations
10
Primary Topic
Pulsars and Gravitational Waves Research
Type
article
Field-Weighted Citation Impact
11.55

Funders

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article

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

Jia Jie Li, Armen Sedrakian, Yu Tian
10 citations
Physics Letters B
Pulsars and Gravitational Waves Research
11.55
article

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

Jia Jie Li, Armen Sedrakian, Yu Tian
article en
10 citations

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⊙. 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.

Physics Letters BVol. 865
Deutsche Forschungsgemeinschaft, National Natural Science Foundation of China, Narodowe Centrum Nauki
Openalex Percentile: Top 2%
Pulsars and Gravitational Waves Research
11.55
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