Bayesian analysis of density profile of light dark matter elucidating the properties of dark matter admixed neutron stars in the presence of hyperons
Debashree Sen, Atanu Guha, and Chang Ho Hyun

TL;DR
This study investigates how dark matter, hyperons, and symmetry energy influence neutron star properties, using Bayesian analysis to constrain dark matter parameters based on astrophysical observations and oscillation modes.
Contribution
It introduces a comprehensive model of dark matter admixed neutron stars considering hyperons and symmetry energy, and constrains dark matter properties using Bayesian inference and observational data.
Findings
Light dark matter ($<1$ GeV) can be present in neutron stars in moderate amounts.
Astrophysical data from HESS J1731-347 and GW170817 constrain dark matter properties.
Bayesian analysis suggests dark matter parameters are nearly independent of hadronic model within certain symmetry energy ranges.
Abstract
We study the impact of symmetry energy (), hyperons, and dark matter (DM) on structural and oscillatory properties of neutron stars (NSs). Uncertainty from hadronic equation of state for NSs is considered with 15 relativistic mean field models having slope parameter () of in range MeV. DM admixed NSs (DMANSs) are described with feeble interaction between light DM fermions () with hadronic matter in the presence of hyperons via scalar () and vector () dark mediators. The masses , and are related by self-interaction constraints from bullet cluster. DM self-interaction couplings are related to by relic density constraint. The DM density is taken as an exponential function of baryon density with a free parameter . Uncertainty from DM model is incorporated by exploring the dependence on and…
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