Influence of dark matter on the structure of strange quark stars in one-fluid model

TL;DR

This paper investigates how scalar dark matter influences the structural properties of strange quark stars by modifying their equation of state, considering interactions, stability, and observational constraints from gravitational wave data.

Contribution

It introduces a one-fluid model incorporating Yukawa interactions and Bose-Einstein condensation of dark matter, analyzing their effects on star stability and observable properties.

Findings

Dark matter softens the EOS with increasing mass

Higher dark matter fractions lead to stiffer EOSs

Models satisfy tidal deformability constraints from GW170817

Abstract

This work studies the influence of scalar dark matter on the structural properties of strange quark stars (SQS) within a one-fluid framework, considering Yukawa interactions between dark matter and quark matter. Contributions from perturbative QCD, Yukawa interaction between scalar dark matter and quarks, and Bose-Einstein condensation of dark matter are included in the model. We first determine the allowable range of Yukawa interaction coupling by imposing the stability condition for strange quark matter (SQM). Using this range, we derive the equation of state (EOS) for different fractions of dark matter within the total pressure of SQS. These fractions are constrained by the tidal deformability limit from GW170817. The presence of dark matter alters the EOS, leading to changes in the mass-radius relationship, tidal deformability, and stability of SQS. We demonstrate that increasing the mass of dark matter softens the EOS, whereas higher fractions of dark matter lead to stiffer EOSs. We also explore the reasons behind this behavior. Our EOSs not only describe massive objects, such as PSR J0952-0607 and PSR J2215+5135, but also satisfy the tidal deformability constraint from GW170817. These results reveal that incorporating dark matter modifies the EOS, enabling the support of higher stellar masses while maintaining consistency with observational data.