GPDiff fits a hierarchical Gaussian process to microscopic asymmetric-matter energies and propagates correlated uncertainties to EOS parameters and neutron-star matter properties.
Locating the inner edge of neutron star crust using terrestrial nuclear laboratory data
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Within both dynamical and thermodynamical approaches using the equation of state for neutron-rich nuclear matter constrained by the recent isospin diffusion data from heavy-ion reactions in the same sub-saturation density range as the neutron star crust, the density and pressure at the inner edge separating the liquid core from the solid crust of neutron stars are determined to be 0.040 fm$^{-3}$ $\leq \rho_{t}\leq 0.065$ fm$^{-3}$ and 0.01 MeV/fm$^{3}$ $\leq P_{t}\leq 0.26$ MeV/fm$^{3}$, respectively. These together with the observed minimum crustal fraction of the total moment of inertia allow us to set a new limit for the radius of the Vela pulsar significantly different from the previous estimate. It is further shown that the widely used parabolic approximation to the equation of state of asymmetric nuclear matter leads systematically to significantly higher core-crust transition densities and pressures, especially with stiffer symmetry energy functionals.
citation-role summary
citation-polarity summary
fields
nucl-th 1years
2026 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
A Gaussian Process framework for constraining the nuclear equation of state from microscopic calculations with correlated uncertainties
GPDiff fits a hierarchical Gaussian process to microscopic asymmetric-matter energies and propagates correlated uncertainties to EOS parameters and neutron-star matter properties.