5 papers
Bayesian inferences on covariant density functionals from multimessenger astrophysical data: Influences of parametrizations of density dependent couplings
Guo-Jun Wei, Jia-Jie Li, Armen Sedrakian +3
Covariant density functionals have been successfully applied to the description of finite nuclei and dense nuclear matter. These functionals are often constructed by introducing de…
Effect of symmetry energy on properties of rapidly rotating neutron stars and universal relations
Pion Sudarshan Yeasin, Stefanos Tsiopelas, Armen Sedrakian +1
We investigated universal relations for compact stars rotating at the Keplerian (mass-shedding) limit, which is highly relevant for understanding the rapidly rotating objects forme…
Bayesian inferences on covariant density functionals from multimessenger astrophysical data: The impacts of likelihood functions of low density matter constraints
Jia-Jie Li, Armen Sedrakian
We systematically investigate how the choice between Gaussian and uniform likelihood functions in Bayesian inference affects the inferred bulk properties of compact stars and nucle…
Bayesian inferences on covariant density functionals from multimessenger astrophysical data: Nucleonic models
Jia-Jie Li, Yu Tian, Armen Sedrakian
[Background] Bayesian inference frameworks incorporating multi-messenger astrophysical constraints have recently been applied to covariant density functional (CDF) models to constr…
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
Recent advancements in astrophysical observations of compact stars, particularly the new and updated NICER constraints, have provided mass-radius (-) data for pulsars spannin…