Auralee Edelen

According to our database, Auralee Edelen authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Start To End Machine Learning Approach To Maximize Scientific Throughput From The LCLS-II-HE.

Aashwin Mishra, Matt Seaberg, Ryan Roussel, Frédéric Poitevin, Jana Thayer, Daniel Ratner, Auralee Edelen, Apurva Mehta

CoRR, May, 2025

Outlook Towards Deployable Continual Learning for Particle Accelerators.

Kishansingh Rajput, Sen Lin, Auralee Edelen, Willem Blokland, Malachi Schram

CoRR, April, 2025

Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators.

Kishansingh Rajput, Malachi Schram, Auralee Edelen, Jonathan Colen, Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch

Mach. Learn. Sci. Technol., 2025

2024

Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives.

Sara A. Miskovich, Willie Neiswanger, William Colocho, Claudio Emma, Jacqueline Garrahan, Timothy Maxwell, Christopher Mayes, Stefano Ermon, Auralee Edelen, Daniel Ratner

Mach. Learn. Sci. Technol., March, 2024

2022

Bayesian Algorithm Execution for Tuning Particle Accelerator Emittance with Partial Measurements.

Sara A. Miskovich, Willie Neiswanger, William Colocho, Claudio Emma, Jacqueline Garrahan, Timothy Maxwell, Christopher Mayes, Stefano Ermon, Auralee Edelen, Daniel Ratner

CoRR, 2022

Neural Network Solver for Coherent Synchrotron Radiation Wakefield Calculations in Accelerator-based Charged Particle Beams.

Auralee Edelen, Christopher Mayes

CoRR, 2022

2021

Improving surrogate model accuracy for the LCLS-II injector frontend using convolutional neural networks and transfer learning.

Lipi Gupta, Auralee Edelen, Nicole Neveu, Aashwin Mishra, Christopher Mayes, Youngkee Kim

Mach. Learn. Sci. Technol., 2021

Virtual Diagnostic Suite for Electron Beam Prediction and Control at FACET-II.

Claudio Emma, Auralee Edelen, Adi Hanuka, Brendan O'Shea, Alexander Scheinker

Inf., 2021

2020

Physics-informed Gaussian Process for Online Optimization of Particle Accelerators.

Adi Hanuka, Xiaobiao Huang, Jane Shtalenkova, Dylan Kennedy, Auralee Edelen, V. R. Lalchand, Daniel Ratner, Joseph Duris

CoRR, 2020

2019

Online tuning and light source control using a physics-informed Gaussian process Adi.

Adi Hanuka, Joseph Duris, Jane Shtalenkova, Dylan Kennedy, Auralee Edelen, Daniel Ratner, Xiaobiao Huang

CoRR, 2019

Machine learning for design optimization of storage ring nonlinear dynamics.

Faya Wang, Minghao Song, Auralee Edelen, Xiaobiao Huang

CoRR, 2019