Bayesian Inference of dense matter equation of state of neutron star with antikaon condensation
Vishal Parmar, Vivek Baruah Thapa, Anil Kumar, Debades Bandyopadhyay, and Monika Sinha

TL;DR
This study uses Bayesian analysis with a relativistic hadron model to investigate how antikaon condensation affects the dense matter equation of state in neutron stars, integrating multiple observational and theoretical constraints.
Contribution
It introduces a Bayesian framework to constrain the dense matter EOS with antikaon condensation, providing new insights into neutron star properties and the role of antikaons.
Findings
Antikaon potential at 68(90)% confidence is about -129 MeV.
Maximum neutron star mass constrained around 2 solar masses.
Antikaon condensation likely occurs in neutron stars exceeding 2 solar masses.
Abstract
In this paper, we employ the Density Dependent Relativistic Hadron (DDRH) field theoretical Model in a Bayesian analysis to investigate the equation of state (EOS) of dense matter featuring antikaon condensation for and inside neutron stars. The vector coupling parameters within the kaonic sector are determined through the iso-spin counting rule and quark model. Our study integrates various constraints, including EFT calculations, nuclear saturation properties, and astrophysical observations from pulsars PSR J0030+0451 and PSR J0740+66 and from the GW170817 event. We present posterior distributions of model parameters derived from these constraints, enabling us to explore the distributions of nuclear matter properties and neutron star (NS) characteristics such as radii, tidal deformabilities, central energy densities, and speed of sound. The antikaon potential at…
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