Sensitivity of Neutron Star Observables to Transition Density in Hybrid Equation-of-State Models

Abstract

We investigate how the transition density \(\rho_{tr}\) affects hybrid constructions of the neutron-star equation of state (EoS) in which a nucleonic description at low densities is matched to a model-agnostic high-density extension based on a speed-of-sound parametrization. Using four representative nucleonic models--Taylor expansion, \(\frac{n}{3}\) expansion, Skyrme, and relativistic mean-field--built from identical nuclear matter parameters, we isolate the impact of the low-density EoS and the transition density on neutron star observables. We find that, within the present smooth-matching prescription, neutron star properties such as radii and tidal deformabilities retain significant sensitivity to the choice of low-density EoS for commonly adopted transition densities around \(\rho_{tr} \approx 2\rho_0\), even when the same high-density parametrization is employed. This residual dependence arises from differences in the matching conditions at \(\rho_{tr}\), which propagate into the high-density extension, so different low-density inputs lead to different effective high-density EoSs. These findings are robust across two distinct speed-of-sound parametrizations. Quantitatively, the model spread in radius and tidal deformability at $1.4M_{\odot }$ exceeds the current observational uncertainty by factors of $\sim 1.8$ and $\sim 1.4$ at ${\rho }_{\mathrm{tr}}\approx 2{\rho }_0$, whereas these factors reduce to $\sim 1.05$ and $\sim 0.4$ at ${\rho }_{\mathrm{tr}}={\rho }_0$. Lowering the transition density, therefore, systematically diminishes the spread among models and leads to more consistent predictions. Our results demonstrate that the widely used choice \(\rho_{tr} \approx 2\rho_0\) does not guarantee model independence in hybrid EoS constructions, and should be treated as an explicit source of systematic uncertainty when inferring dense matter properties from neutron star observations.

Comments: 10 pages, 5 figures, 3 tables