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20002023
most citedFission Fragment Decay Simulations with the CGMF Code

82 citations · 685 across the 32 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

nucl-th2020★ 35 cited

Recent advances in the quantification of uncertainties in reaction theory

A. E. Lovell, F. M. Nunes, M. Catacora-Rios +1

Uncertainty quantification has become increasingly more prominent in nuclear physics over the past several years. In few-body reaction theory, there are four main sources that cont…

nucl-th2020★ 19 cited

Statistical tools for a better optical model

M. Catacora-Rios, G. B. King, A. E. Lovell +1

Background: Modern statistical tools provide the ability to compare the information content of observables and provide a path to explore which experiments would be most useful to g…

nucl-th2020★ 82 cited

Fission Fragment Decay Simulations with the CGMF Code

P. Talou, I. Stetcu, P. Jaffke +3

The CGMF code implements the Hauser-Feshbach statistical nuclear reaction model to follow the de-excitation of fission fragments by successive emissions of prompt neutrons and …

nucl-th2020★ 44 cited

Extension of the Hauser-Feshbach Fission Fragment Decay Model to Multi-Chance Fission

A. E. Lovell, T. Kawano, S. Okumura +3

The Hauser-Feshbach fission fragment decay model, , which calculates the statistical decay of fission fragments, has been expanded to include multi-chance fission,…

nucl-th2020★ 11 cited

Correlations Between Fission Fragment and Neutron Anisotropies in Neutron-Induced Fission

A. E. Lovell, P. Talou, I. Stetcu +1

Several sources of angular anisotropy for fission fragments and prompt neutrons have been studied in neutron-induced fission reactions. These include kinematic recoils of the targe…

nucl-th2020★ 38 cited

Quantifying Uncertainties on Fission Fragment Mass Yields With Mixture Density Networks

A. E. Lovell, A. T. Mohan, P. Talou

Probabilistic machine learning techniques can learn both complex relations between input features and output quantities of interest as well as take into account stochasticity or un…