activity
20172021
most citedA new statistical method for the structure of the inner crust of neutron stars

21 citations · 60 across the 4 of their papers we have counts for

collaborators

7 papers

nucl-th202118 cited

Systematic analysis of inner crust composition using the extended Thomas-Fermi approximation with pairing correlations

Matthew Shelley, Alessandro Pastore

We perform a systematic investigation of the chemical composition of the inner crust of a neutron star, using the extended Thomas-Fermi approximation, the Strutinsky integral corre…

nucl-th20213 cited

A new mass model for nuclear astrophysics: crossing 200 keV accuracy

M. Shelley, A. Pastore

By using a machine learning algorithms, we present an improved nuclear mass table with a root mean square deviation of less than keV. The model is equipped with statistical er…

nucl-th202018 cited

Comparison between the Thomas-Fermi and Hartree-Fock-Bogoliubov Methods in the Inner Crust of a Neutron Star: The Role of Pairing Correlations

Matthew Shelley, Alessandro Pastore

We investigated the role of a pairing correlation in the chemical composition of the inner crust of a neutron star with the extended Thomas-Fermi method, using the Strutinsky integ…

nucl-th2020

How accurately can the Extended Thomas-Fermi method describe the inner crust of a neutron star?

Matthew Shelley, Alessandro Pastore

We perform a systematic comparison between the results obtained by solving fully self-consistently the Hartree-Fock-Bogoliubov equations, and those obtained using the semi-classica…

nucl-th2018

Advanced statistical methods to fit nuclear models

M. Shelley, P. Becker, A. Gration +1

We discuss advanced statistical methods to improve parameter estimation of nuclear models. In particular, using the Liquid Drop Model for nuclear binding energies, we show that the…

astro-ph.GA2018

A survey for variable young stars with small telescopes: First results from HOYS-CAPS

D. Froebrich, J. Campbell-White, A. Scholz +15

Variability in Young Stellar Objects (YSOs) is one of their primary characteristics. Long-term, multi-filter, high-cadence monitoring of large YSO samples is the key to understand…