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General predictions for the neutron star crustal moment of inertia

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arxiv 1810.00719 v2 pith:BMPRCHZW submitted 2018-10-01 nucl-th astro-ph.HE

classification nucl-thastro-ph.HE
keywords crustalneutronpredictionspropertiesinertiamassmomentnuclear
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

The neutron star crustal EoS and transition point properties are computed within a unified meta-modeling approach. A Bayesian approach is employed including two types of filters: bulk nuclear properties are controlled from low density effective field theory (EFT) predictions as well as the present knowledge from nuclear experiments, while the surface energy is adjusted on experimental nuclear masses. Considering these constraints, a quantitative prediction of crustal properties can be reached with controlled confidence intervals and increased precision with respect to previous calculations: {$\approx 11\%$} dispersion on the crustal width and {$\approx 27\%$} dispersion on the fractional moment of inertia. The crust moment of inertia is also evaluated as a function of the neutron star mass, and predictions for mass and radii are given for different pulsars. The possible crustal origin of Vela pulsar glitches is discussed within the present estimations of crustal entrainment, disfavoring a large entrainment phenomenon if the Vela mass is above $1.4M_\odot$. Further refinement of the present predictions requires a better estimation of the high order isovector empirical parameters, e.g. $K_{sym}$ and $Q_{sym}$, and a better control of the surface properties of extremely neutron rich nuclei.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Crust (Unified) Tool for Equation-of-state Reconstruction (CUTER) v2

    astro-ph.HE 2025-06 accept novelty 4.0 of 10

    CUTER v2 reconstructs the missing or inconsistent low-density crust of arbitrary neutron-star equations of state, producing unified EoSs whose global properties match original models to within about one percent.

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