Propagation of uncertainties in the nuclear DFT models

TL;DR

This paper investigates how uncertainties in the parameters of nuclear density functional theory models, specifically Skyrme energy density functionals, propagate to the predicted physical observables, highlighting the importance of error analysis.

Contribution

It introduces a method to analyze the propagation of theoretical errors from model parameters to predictions in nuclear DFT models, focusing on Skyrme functionals.

Findings

Quantifies the impact of parameter uncertainties on observables

Provides a framework for error propagation in nuclear DFT models

Highlights the significance of theoretical error analysis in nuclear physics

Abstract

Parameters of the nuclear density functional theory (DFT) models are usually adjusted to experimental data. As a result they carry certain theoretical error, which, as a consequence, carries out to the predicted quantities. In this work we address the propagation of theoretical error, within the nuclear DFT models, from the model parameters to the predicted observables. In particularly, the focus is set on the Skyrme energy density functional models.