Bayesian optimization of a free-electron laser J Duris, D Kennedy, A Hanuka, J Shtalenkova, A Edelen, P Baxevanis, ...
Physical review letters 124 (12), 124801, 2020
194 2020 Neural networks for modeling and control of particle accelerators AL Edelen, SG Biedron, BE Chase, D Edstrom, SV Milton, P Stabile
IEEE Transactions on Nuclear Science 63 (2), 878-897, 2016
156 2016 Machine learning for orders of magnitude speedup in multiobjective optimization of particle accelerator systems A Edelen, N Neveu, M Frey, Y Huber, C Mayes, A Adelmann
Physical Review Accelerators and Beams 23 (4), 044601, 2020
149 2020 Machine learning-based longitudinal phase space prediction of particle accelerators C Emma, A Edelen, MJ Hogan, B O’Shea, G White, V Yakimenko
Physical Review Accelerators and Beams 21 (11), 112802, 2018
144 2018 Demonstration of model-independent control of the longitudinal phase space of electron beams in the linac-coherent light source with femtosecond resolution A Scheinker, A Edelen, D Bohler, C Emma, A Lutman
Physical review letters 121 (4), 044801, 2018
119 2018 Opportunities in machine learning for particle accelerators A Edelen, C Mayes, D Bowring, D Ratner, A Adelmann, R Ischebeck, ...
arXiv preprint arXiv:1811.03172, 2018
79 2018 Multiobjective Bayesian optimization for online accelerator tuning R Roussel, A Hanuka, A Edelen
Physical Review Accelerators and Beams 24 (6), 062801, 2021
63 2021 Physics model-informed Gaussian process for online optimization of particle accelerators A Hanuka, X Huang, J Shtalenkova, D Kennedy, A Edelen, Z Zhang, ...
Physical Review Accelerators and Beams 24 (7), 072802, 2021
58 2021 Toward the end-to-end optimization of particle physics instruments with differentiable programming T Dorigo, A Giammanco, P Vischia, M Aehle, M Bawaj, A Boldyrev, ...
Reviews in Physics 10, 100085, 2023
56 2023 Phase space reconstruction from accelerator beam measurements using neural networks and differentiable simulations R Roussel, A Edelen, C Mayes, D Ratner, JP Gonzalez-Aguilera, S Kim, ...
Physical Review Letters 130 (14), 145001, 2023
47 2023 First steps toward incorporating image based diagnostics into particle accelerator control systems using convolutional neural networks AL Edelen, SG Biedron, SV Milton, JP Edelen
arXiv preprint arXiv:1612.05662, 2016
40 2016 C EA Nanni, M Breidenbach, C Vernieri, S Belomestnykh, P Bhat, ...
arXiv preprint arXiv:2203.09076, 2022
37 2022 Turn-key constrained parameter space exploration for particle accelerators using Bayesian active learning R Roussel, JP Gonzalez-Aguilera, YK Kim, E Wisniewski, W Liu, P Piot, ...
Nature communications 12 (1), 5612, 2021
31 2021 Bayesian optimization algorithms for accelerator physics R Roussel, AL Edelen, T Boltz, D Kennedy, Z Zhang, F Ji, X Huang, ...
Physical review accelerators and beams 27 (8), 084801, 2024
29 2024 Xopt: A simplified framework for optimization of accelerator problems using advanced algorithms R Roussel, A Edelen, A Bartnik, C Mayes
Proc. IPAC’23, 4796-4799, 2023
28 2023 Uncertainty quantification for deep learning in particle accelerator applications AA Mishra, A Edelen, A Hanuka, C Mayes
Physical Review Accelerators and Beams 24 (11), 114601, 2021
27 2021 Using a neural network control policy for rapid switching between beam parameters in an FEL AL Edelen, SV Milton, SG Biedron, JP Edelen, PJM van der Slot
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2017
27 2017 Improving surrogate model accuracy for the LCLS-II injector frontend using convolutional neural networks and transfer learning L Gupta, A Edelen, N Neveu, A Mishra, C Mayes, YK Kim
Machine Learning: Science and Technology 2 (4), 045025, 2021
26 2021 Differentiable preisach modeling for characterization and optimization of particle accelerator systems with hysteresis R Roussel, A Edelen, D Ratner, K Dubey, JP Gonzalez-Aguilera, YK Kim, ...
Physical Review Letters 128 (20), 204801, 2022
24 2022 Neural network model of the PXIE RFQ cooling system and resonant frequency response AL Edelen, SG Biedron, SV Milton, D Bowring, BE Chase, JP Edelen, ...
arXiv preprint arXiv:1612.07237, 2016
24 2016 