Propagation of uncertainties in the nuclear DFT models
classification
⚛️ nucl-th
keywords
modelsnucleardensityerrorfunctionalparameterspredictedpropagation
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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.
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