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
187 2020 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
161 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
155 2016 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
118 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 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
62 2023 Multiobjective Bayesian optimization for online accelerator tuning R Roussel, A Hanuka, A Edelen
Physical Review Accelerators and Beams 24 (6), 062801, 2021
57 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
56 2021 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
44 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 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
28 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
28 2017 Xopt: A simplified framework for optimization of accelerator problems using advanced algorithms R Roussel, C Mayes, A Edelen, A Bartnik
Proceedings of 14th International Particle Accelerator Conference (IPAC 2023 …, 2023
27 2023 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
25 2022 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
24 2024 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
24 2021 Online tuning and light source control using a physics-informed Gaussian process Adi A Hanuka, J Duris, J Shtalenkova, D Kennedy, A Edelen, D Ratner, ...
arXiv preprint arXiv:1911.01538, 2019
23 2019 