output
19982026
most citedMeasurement of the permanent electric dipole moment of the neutron

619 citations

Showing 2019 · nucl-thShow all

6 papers · 2 filters

nucl-th2019★ 14 cited

Pasta fluctuations in symmetric matter at finite temperature

Celso C. Barros, Debora P. Menezes, Francesca Gulminelli

The equilibrium distributions of the different pasta geometries and their linear sizes are calculated from the mean field Gibbs energy functional in symmetric nuclear matter at fin…

nucl-th2019

Low-density in-medium effects on light clusters from heavy-ion data

Helena Pais, Rémi Bougault, Francesca Gulminelli +13

The modification of the ground state properties of light atomic nuclei in the nuclear and stellar medium is addressed, using chemical equilibrium constants evaluated from a new ana…

nucl-th2019★ 33 cited

Modeling B as a B-n-n three-body system in the unitary limit

Emiko Hiyama, Rimantas Lazauskas, F. Miguel Marqués +1

We present a model description of the bound B isotope in terms of a B-n-n three-body system where the two-body subsystems B-n and n-n are unbound (virtual) sta…

nucl-th2019★ 8 cited

Sensitivity of the evaporation residue observables to the symmetry energy

S. Mallik, G. Chaudhuri, F. Gulminelli

The static properties of the heaviest residue and unbound particles produced in central on collisions at 50 MeV/nucleon are predicted within the BUU trans…

nucl-th2019★ 80 cited

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

Thomas Carreau, Francesca Gulminelli, Jérôme Margueron

The crust-core phase transition of neutron stars is quantitatively studied within a unified meta-modelling of the nuclear Equation of State (EoS). The variational equations in the…

nucl-th2019★ 15 cited

Quantifying the uncertainties on spinodal instability in stellar matter through meta-modeling

Sofija Antic, Debarati Chatterjee, Thomas Carreau +1

The influence of the uncertainties of the equation of state empirical parameters on the neutron stars crust-core phase transition is explored within a meta-modeling approach, in wh…