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Title: Uncertainty Quantification and Propagation in Nuclear Density Functional Theory

Nuclear density functional theory (DFT) is one of the main theoretical tools used to study the properties of heavy and superheavy elements, or to describe the structure of nuclei far from stability. While on-going eff orts seek to better root nuclear DFT in the theory of nuclear forces, energy functionals remain semi-phenomenological constructions that depend on a set of parameters adjusted to experimental data in fi nite nuclei. In this paper, we review recent eff orts to quantify the related uncertainties, and propagate them to model predictions. In particular, we cover the topics of parameter estimation for inverse problems, statistical analysis of model uncertainties and Bayesian inference methods. Illustrative examples are taken from the literature.
Authors:
; ; ; ;
Publication Date:
OSTI Identifier:
1184172
Report Number(s):
LLNL-PROC-668703
DOE Contract Number:
DE-AC52-07NA27344
Resource Type:
Conference
Resource Relation:
Conference: Presented at: Perspectives on Nuclear Data for the Next Decade, Bruyeres-le-Chatel, France, Oct 14 - Oct 17, 2014
Research Org:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
73 NUCLEAR PHYSICS AND RADIATION PHYSICS; 97 MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE