Propagation of uncertainties in the nuclear DFT models

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.

arXiv comment13 pages, 4 figures, 1 table. Invited paper for the Journal of Physics G: Nuclear and Particle Physics focus section entitled "Enhancing the interaction between nuclear experiment and theory through information and statistics"

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Cited by in corpus (10)

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• r-Process Nucleosynthesis: Connecting Rare-Isotope Beam Facilities with the Cosmos
• Importance of isobar density distributions on the chiral magnetic effect search
• Nuclear charge and neutron radii and nuclear matter: trend analysis
• Microscopically constrained mean field models from chiral nuclear thermodynamics
• Impact of statistical uncertainties on the composition of the outer crust of a neutron star
• Uncertainty propagation within the UNEDF models
• Statistical errors in Weizsaecker-Skyrme mass model
• Fayans functional for deformed nuclei. Uranium region
• Nuclear Energy Density Optimization: UNEDF2