Uncertainty quantification and propagation in nuclear density functional theory View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-12

AUTHORS

N. Schunck, J. D. McDonnell, D. Higdon, J. Sarich, S. M. Wild

ABSTRACT

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 efforts seek to better root nuclear DFT in the theory of nuclear forces (see Duguet et al., this Topical Issue), energy functionals remain semi-phenomenological constructions that depend on a set of parameters adjusted to experimental data in finite nuclei. In this paper, we review recent efforts 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. More... »

PAGES

169

Identifiers

URI

http://scigraph.springernature.com/pub.10.1140/epja/i2015-15169-9

DOI

http://dx.doi.org/10.1140/epja/i2015-15169-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1015703829


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482 schema:name Department of Physics and Astronomy, Francis Marion University, 29501, Florence, SC, USA
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