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
162 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
146 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
142 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
130 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
100 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
74 2018 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
52 2021 Multiobjective Bayesian optimization for online accelerator tuning R Roussel, A Hanuka, A Edelen
Physical Review Accelerators and Beams 24 (6), 062801, 2021
49 2021 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
41 2016 C EA Nanni, M Breidenbach, C Vernieri, S Belomestnykh, P Bhat, ...
arXiv preprint arXiv:2203.09076, 2022
34 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
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 Lab.(LANL), Los Alamos, NM (United States), 2017
25 2017 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
24 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
23 2021 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
23 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
22 2019 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
22 2016 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, 100085, 2023
19 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
19 2022 Using neural network control policies for rapid switching between beam parameters in a free electron laser AL Edelen, JP Edelen, L RadiaSoft, SG Biedron, SV Milton, ...
Proceedings of the 31st Conference on Neural Information Processing Systems …, 2017
18 2017 