A survey of the parameter space of the compressible liquid drop model as applied to the neutron star inner crust
W. G. Newton, M. Gearheart, Bao-An Li

TL;DR
This survey systematically explores how variations in nuclear model parameters affect predictions of neutron star inner crust properties, highlighting sensitivities and potential reductions in pasta phases due to surface energy uncertainties.
Contribution
It provides a comprehensive analysis of the parameter space of the compressible liquid drop model for neutron star crusts, incorporating recent constraints and uncertainties.
Findings
Inner crust composition is highly sensitive to surface energy at low proton fractions.
Transition densities depend strongly on the sub-saturation PNM EoS behavior.
Predicted pasta phases may be significantly reduced based on recent neutron drop energy calculations.
Abstract
We present a systematic survey the range of predictions of the neutron star inner crust composition, crust-core transition densities and pressures, and density range of the nuclear `pasta' phases at the bottom of the crust provided by the compressible liquid drop model in the light of current experimental and theoretical constraints on model parameters. Using a Skyrme-like model for nuclear matter, we construct baseline sequences of crust models by consistently varying the density dependence of the bulk symmetry energy at nuclear saturation density, , under two conditions: (i) that the magnitude of the symmetry energy at saturation density is held constant, and (ii) correlates with under the constraint that the pure neutron matter (PNM) EoS satisfies the results of ab-initio calculations at low densities. Such baseline crust models facilitate consistent exploration of the…
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