Search Results - Auralee Edelen

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  1. 1

    Outlook towards deployable continual learning for particle accelerators by Kishansingh Rajput, Sen Lin, Auralee Edelen, Willem Blokland, Malachi Schram

    Published in Machine Learning: Science and Technology (2025-01-01)
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  2. 2

    Virtual Diagnostic Suite for Electron Beam Prediction and Control at FACET-II by Claudio Emma, Auralee Edelen, Adi Hanuka, Brendan O’Shea, Alexander Scheinker

    Published in Information (2021-01-01)
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  3. 3

    Demonstration of Autonomous Emittance Characterization at the Argonne Wakefield Accelerator by Ryan Roussel, Dylan Kennedy, Auralee Edelen, Seongyeol Kim, Eric Wisniewski, John Power

    Published in Instruments (2023-09-01)
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  4. 4

    Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators by Kishansingh Rajput, Malachi Schram, Auralee Edelen, Jonathan Colen, Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch

    Published in Machine Learning: Science and Technology (2025-01-01)
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  5. 5

    Efficient six-dimensional phase space reconstructions from experimental measurements using generative machine learning by Ryan Roussel, Juan Pablo Gonzalez-Aguilera, Eric Wisniewski, Alexander Ody, Wanming Liu, John Power, Young-Kee Kim, Auralee Edelen

    Published in Physical Review Accelerators and Beams (2024-09-01)
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  6. 6

    Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives by Sara Ayoub Miskovich, Willie Neiswanger, William Colocho, Claudio Emma, Jacqueline Garrahan, Timothy Maxwell, Christopher Mayes, Stefano Ermon, Auralee Edelen, Daniel Ratner

    Published in Machine Learning: Science and Technology (2024-01-01)
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  7. 7

    Four-dimensional phase-space reconstruction of flat and magnetized beams using neural networks and differentiable simulations by Seongyeol Kim, Juan Pablo Gonzalez-Aguilera, Philippe Piot, Gongxiaohui Chen, Scott Doran, Young-Kee Kim, Wanming Liu, Charles Whiteford, Eric Wisniewski, Auralee Edelen, Ryan Roussel, John Power

    Published in Physical Review Accelerators and Beams (2024-07-01)
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  8. 8

    Multi-objective Bayesian active learning for MeV-ultrafast electron diffraction by Fuhao Ji, Auralee Edelen, Ryan Roussel, Xiaozhe Shen, Sara Miskovich, Stephen Weathersby, Duan Luo, Mianzhen Mo, Patrick Kramer, Christopher Mayes, Mohamed A. K. Othman, Emilio Nanni, Xijie Wang, Alexander Reid, Michael Minitti, Robert Joel England

    Published in Nature Communications (2024-06-01)
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