activity
20182021
most citedExtension of the Hauser-Feshbach Fission Fragment Decay Model to Multi-Chance Fission

44 citations · 55 across the 2 of their papers we have counts for

collaborators

10 papers

nucl-ex2021

Structure in the Event-by-Event Energy-Dependent Neutron-Gamma Multiplicity Correlations in (sf)

Stefano Marin, Mustapha Stephan Okar, Eoin P. Sansevero +13

The emission of neutrons and gamma rays by fission fragments reveal important information about the properties of fragments immediately following scission. The initial fragment pro…

nucl-th2021

Influence of non-statistical properties in nuclear structure on emission of prompt fission neutrons

Toshihiko Kawano, Shin Okumura, Amy E. Lovell +2

The Hauser-Feshbach Fission Fragment Decay (HFD) model is extended to calculate the prompt fission neutron spectrum (PFNS) for the thermal neutron induced fission on U,…

nucl-th2020

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-th202044 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-th202011 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

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…