A new statistical method for the structure of the inner crust of neutron stars
arXiv:1707.08142 · doi:10.1088/1361-6471/aa8207
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 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 an 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 based on a 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 keV per particle. Such a high precision is necessary to distinguish neighbour configurations around the energy minima.
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Cited by in corpus (10)
- Impact of statistical uncertainties on the composition of the outer crust of a neutron star
- Analytical determination of the structure and nuclear abundances of the outer crust of a cold nonaccreted neutron star
- Systematic analysis of inner crust composition using the extended Thomas-Fermi approximation with pairing correlations
- Comparison between the Thomas-Fermi and Hartree-Fock-Bogoliubov Methods in the Inner Crust of a Neutron Star: The Role of Pairing Correlations
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- Pressure and chemical potentials in the inner crust of a cold neutron star within Hartree-Fock and extended Thomas-Fermi methods