44 citations · 45 across the 4 of their papers we have counts for
7 papers
Emulation of coupled-channels scattering for strongly deformed nuclei
M. Catacora-Rios, Kyle Beyer, Jin Lei +1
Nucleon scattering off strongly deformed nuclei such as the actinides requires coupled-channels (CC) calculations in which several members of the ground-state rotational band are c…
Bayesian calibration of a regional optical potential and uncertainty-quantified predictions for compound nucleus reactions
Samuel Sullivan, Kyle Beyer, Filomena Nunes +3
Uncertainty-quantified global optical potential parameterizations are useful for making systematic studies across the nuclear chart and making predictions away from stability. Whil…
Wavefunction-Based Emulation of Coupled-Channels Scattering with Non-Affinely Parametrized Interactions
M. Catacora-Rios, Kyle Beyer, Pablo Giuliani +3
Physics based emulators offer a fast and reliable replacement for an exact solution of the scattering problem in nuclear physics. Previous work developed a reduced-basis emulator f…
Paths to Superheavy Nuclei
K. Godbey, F. M. Nunes, M. Albertsson +16
This document summarizes the discussions and outcomes of the Facility for Rare Isotope Beams Theory Alliance (FRIB-TA) topical program "The path to Superheavy Isotopes" held in Jun…
ROSE: A reduced-order scattering emulator for optical models
Daniel Odell, Pablo Giuliani, Kyle Beyer +6
A new generation of phenomenological optical potentials requires robust calibration and uncertainty quantification, motivating the use of Bayesian statistical methods. These Bayesi…
Definition of scenarios for modern power systems with a high renewable energy share
Carlos Collados-Rodríguez, Eduard Antolí-Gil, Enric Sánchez-Sánchez +5
Recent environmental policies have led many academic, industrial and governmental stakeholders to design and plan scenarios with very high share of renewable energy sources (RES).…
Constraining Transfer Cross Sections Using Bayes' Theorem
A. E. Lovell, F. M. Nunes
Being able to rigorously quantify the uncertainties in reaction models is crucial to moving this field forward. Even though Bayesian methods are becoming increasingly popular in nu…