English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The crust-core phase transition of neutron stars is quantitatively studiedwithin a unified meta-modelling of the nuclear Equation of State (EoS). Thevariational equations in the crust are solved within a Compressible Liquid Drop(CLD) approach, with surface parameters consistently optimized for each EoS seton experimental nuclear mass data. When EoS parameters are taken from knownSkyrme or RMF functionals, the transition point of those models is nicelyreproduced. A model-independent probability distribution of EoS parameters andof the transition density and pressure is determined with a Bayesian analysis,where the prior is given by an uncorrelated distribution of parameters withinthe present empirical uncertainties, and constraints are applied both fromneutron star physics and ab-initio modelling. We show that the characteristicsof the transition point are largely independent of the high density propertiesof the EoS, while ab-initio EoS calculations of neutron and symmetric matterare far more constraining. The most influential parameter for the determinationof the transition point governs the surface properties of extremely neutronrich matter, and it is strongly unconstrained. This explains the largedispersion of existing predictions of the transition point. Only if the surfacetension is fixed to a reasonable but somewhat arbitrary value, strongcorrelations with isovector parameters ($L_{sym},K_{sym}$ and $Q_{sym}$) arerecovered. Within the present experimental and theoretical uncertainties onthose parameters, we estimate the transition density as $n_t= 0.072\pm 0.011$fm$^{-3}$ and the transition pressure as $P_t=0.339\pm0.115$ MeV fm$^{-3}$.

Bayesian analysis of the crust-core transition with a compressible liquid-drop model