Anchor-based optimization of energy density functionals

TL;DR

This paper introduces an anchor-based optimization method for energy density functionals that improves global binding energy predictions with lower computational cost by focusing on selected spherical nuclei.

Contribution

The paper presents a novel anchor-based approach for optimizing EDF parameters, reducing computational costs and enhancing global accuracy over traditional methods.

Findings

Significant improvement in binding energy predictions.

Lower computational cost for functional optimization.

Effective for various classes of covariant EDFs.

Abstract

A new anchor-based optimization method of defining the energy density functionals (EDFs) is proposed. In this approach, the optimization of the parameters of EDF is carried out for the selected set of spherical anchor nuclei the physical observables of which are modified by the correction function which takes into account the global performance of EDF. It is shown that the use of this approach leads to a substantial improvement in global description of binding energies for several classes of covariant EDFs. The computational cost of defining a new functional within this approach is drastically lower as compared with the one for the optimization which includes the global experimental data on spherical, transitional and deformed nuclei into the fitting protocol.