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A new statistical method for the structure of the inner crust of neutron stars

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JournalJournal of physics g-Nuclear and particle physics
DateAccepted/In press - 25 Jul 2017
DatePublished (current) - 11 Aug 2017
Issue number9
Volume44
Original languageEnglish

Abstract

We investigated the structure of the low density regions of the inner crust of neutron stars using the Hartree-Fock-Bogoliubov (HFB) model to predict the proton content Z of the nuclear clusters and, together with the lattice spacing, the proton content of the crust as a function of the total baryonic density . The exploration of the energy surface in the configuration space and the search for the local minima require thousands of calculations. Each of them implies a HFB calculation in a box with a large number of particles, thus making the whole process very demanding. In this work, we apply a statistical model called Gaussian process emulator that makes the exploration of the energy surface ten times faster. We also present a novel treatment of the HFB equations that leads to an uncertainty on the total energy of per particle. Such a high precision is necessary to distinguish neighbour configurations around the energy minima.

Bibliographical note

Invited article for special issue "emerging leaders".
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    Research areas

  • Gaussian process emulator, Hartree-Fock-Bogoliubov, inner crust, neutron stars

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