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Amy Lovell
Amy Lovell
Verified email at lanl.gov
Title
Cited by
Cited by
Year
Direct comparison between Bayesian and frequentist uncertainty quantification for nuclear reactions
GB King, AE Lovell, L Neufcourt, FM Nunes
Physical review letters 122 (23), 232502, 2019
822019
Fission fragment decay simulations with the CGMF code
P Talou, I Stetcu, P Jaffke, ME Rising, AE Lovell, T Kawano
Computer Physics Communications 269, 108087, 2021
542021
Measurement of the prompt fission neutron spectrum from 10 keV to 10 MeV induced by neutrons of energy 1–20 MeV
KJ Kelly, M Devlin, JM O'Donnell, JA Gomez, D Neudecker, RC Haight, ...
Physical Review C 102 (3), 034615, 2020
412020
Uncertainty quantification for optical model parameters
AE Lovell, FM Nunes, J Sarich, SM Wild
Physical Review C 95 (2), 024611, 2017
412017
Constraining transfer cross sections using Bayes' theorem
AE Lovell, FM Nunes
Physical Review C 97 (6), 064612, 2018
382018
Toward emulating nuclear reactions using eigenvector continuation
C Drischler, M Quinonez, PG Giuliani, AE Lovell, FM Nunes
Physics Letters B 823, 136777, 2021
362021
Systematic uncertainties in direct reaction theories
AE Lovell, FM Nunes
Journal of Physics G: nuclear and particle physics 42 (3), 034014, 2015
352015
Preequilibrium Asymmetries in the Prompt Fission Neutron Spectrum
KJ Kelly, T Kawano, JM O’Donnell, JA Gomez, M Devlin, D Neudecker, ...
Physical Review Letters 122 (7), 072503, 2019
322019
Extension of the Hauser-Feshbach fission fragment decay model to multichance fission
AE Lovell, T Kawano, S Okumura, I Stetcu, MR Mumpower, P Talou
Physical Review C 103 (1), 014615, 2021
302021
Nuclear masses learned from a probabilistic neural network
AE Lovell, AT Mohan, TM Sprouse, MR Mumpower
Physical Review C 106 (1), 014305, 2022
292022
Quantifying uncertainties on fission fragment mass yields with mixture density networks
AE Lovell, AT Mohan, P Talou
Journal of Physics G: Nuclear and Particle Physics 47 (11), 114001, 2020
292020
Recent advances in the quantification of uncertainties in reaction theory
AE Lovell, FM Nunes, M Catacora-Rios, GB King
Journal of Physics G: Nuclear and Particle Physics 48 (1), 014001, 2020
272020
Exploring experimental conditions to reduce uncertainties in the optical potential
M Catacora-Rios, GB King, AE Lovell, FM Nunes
Physical Review C 100 (6), 064615, 2019
252019
Energy dependence of nonlocal optical potentials
AE Lovell, PL Bacq, P Capel, FM Nunes, LJ Titus
Physical Review C 96 (5), 051601, 2017
242017
Three-body model for the two-neutron emission of
AE Lovell, FM Nunes, IJ Thompson
Physical Review C 95 (3), 034605, 2017
242017
Physically interpretable machine learning for nuclear masses
MR Mumpower, TM Sprouse, AE Lovell, AT Mohan
Physical Review C 106 (2), L021301, 2022
232022
Angular Momentum Removal by Neutron and -Ray Emissions during Fission Fragment Decays
I Stetcu, AE Lovell, P Talou, T Kawano, S Marin, SA Pozzi, A Bulgac
Physical Review Letters 127 (22), 222502, 2021
232021
Exploration of the energy dependence of proton nonlocal optical potentials
MI Jaghoub, AE Lovell, FM Nunes
Physical Review C 98 (2), 024609, 2018
232018
Measurement of R= sigma_L/sigma_T and the Separated Longitudinal and Transverse Structure Functions in the Nucleon Resonance Region
Y Liang, V Tvaskis, ME Christy, A Ahmidouch, CS Armstrong, J Arrington, ...
arXiv preprint nucl-ex/0410027, 2004
23*2004
Informing nuclear physics via machine learning methods with differential and integral experiments
D Neudecker, O Cabellos, AR Clark, MJ Grosskopf, W Haeck, ...
Physical Review C 104 (3), 034611, 2021
222021
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