Bayesian Constraints on Bosonic Dark Matter in Neutron Stars within a Covariant Density-Functional Equation-of-State Ensemble
Abstract: We investigate neutron stars admixed with repulsively self-interacting bosonic dark matter (DM) using current multi-messenger observations. The dark component is modeled as a complex scalar field coupled to baryonic matter only through gravity, allowing dark-core and dark-halo configurations. To quantify baryonic equation-of-state (EOS) uncertainties, we combine a three-dimensional scan over with 27 DDME2-based covariant density-functional EOSs spanning MeV and MeV. The models are confronted in a Bayesian framework with NICER mass--radius measurements from the Amsterdam and Maryland/Illinois analyses and the GW170817 tidal-deformability constraint. After Bayesian evidence weighting over the EOS ensemble, the EOS-relevant dark-sector scale is localized around 250 MeV for both NICER data sets. In the parameterization, the marginalized boson-mass posterior peaks at --$330$ MeV, while remains broadly distributed. Since the bosonic EOS depends on and only through , their separate marginals are conditional on the adopted independent priors. The inferred DM fraction is more data-set dependent, with posterior modes near 4% for Maryland/Illinois and 12% for Amsterdam. Bosonic DM also shifts the inferred from negative toward intermediate and positive values, whereas the response of is weaker. This indicates a model-dependent trade-off between DM-induced compactification and the high-density stiffness of baryonic matter. These constraints remain conditional on the selected EOS family and the assumption of a common effective for all sources.
Paper Prompts
Sign up for free to create and run prompts on this paper.