53 citations · 215 across the 15 of their papers we have counts for
15 papers
Controls Abstraction Towards Accelerator Physics: A Middle Layer Python Package for Particle Accelerator Control
M. King, A. D. Brynes, F. Jackson +11
Control system middle layers act as a co-ordination and communication bridge between end users, including operators, system experts, scientists, and experimental users, and the low…
Four-Dimensional Phase-Space Reconstruction of Flat and Magnetized Beams Using Neural Networks and Differentiable Simulations
Seongyeol Kim, Juan Pablo Gonzalez-Aguilera, Philippe Piot +9
Beams with cross-plane coupling or extreme asymmetries between the two transverse phase spaces are often encountered in particle accelerators. Flat beams with large transverse-emit…
Demonstration of Autonomous Emittance Characterization at the Argonne Wakefield Accelerator
Ryan Roussel, Auralee Edelen, Dylan Kennedy +3
Transverse beam emittance plays a key role in the performance of high brightness accelerators. Characterizing beam emittance is often done using a quadrupole scan, which fits beam…
Applications of Differentiable Physics Simulations in Particle Accelerator Modeling
Ryan Roussel, Auralee Edelen
Current physics models used to interpret experimental measurements of particle beams require either simplifying assumptions to be made in order to ensure analytical tractability, o…
Neural Network Prior Mean for Particle Accelerator Injector Tuning
Connie Xu, Ryan Roussel, Auralee Edelen
Bayesian optimization has been shown to be a powerful tool for solving black box problems during online accelerator optimization. The major advantage of Bayesian based optimization…
Beam shaping using an ultra-high vacuum multileaf collimator and emittance exchange beamline
N. Majernik, G. Andonian, W. Lynn +9
We report the development of a multileaf collimator (MLC) for charged particle beams, based on independently actuated tungsten strips which can selectively scatter unwanted particl…
Phase Space Reconstruction from Accelerator Beam Measurements Using Neural Networks and Differentiable Simulations
Ryan Roussel, Auralee Edelen, Christopher Mayes +5
Characterizing the phase space distribution of particle beams in accelerators is a central part of accelerator understanding and performance optimization. However, conventional rec…
Snowmass21 Accelerator Modeling Community White Paper
S. Biedron, L. Brouwer, D. L. Bruhwiler +24
After a summary of relevant comments and recommendations from various reports over the last ten years, this paper examines the modeling needs in accelerator physics, from the model…
Differentiable Preisach Modeling for Characterization and Optimization of Accelerator Systems with Hysteresis
R. Roussel, A. Edelen, D. Ratner +4
Future improvements in particle accelerator performance is predicated on increasingly accurate online modeling of accelerators. Hysteresis effects in magnetic, mechanical, and mate…
Multileaf Collimator for Real-Time Beam Shaping using Emittance Exchange
N. Majernik, G. Andonian, R. Roussel +5
Emittance exchange beamlines employ transverse masks to create drive and witness beams of variable longitudinal profile and bunch spacing. Recently, this approach has been used to…
Turn-Key Constrained Parameter Space Exploration for Particle Accelerators Using Bayesian Active Learning
Ryan Roussel, Juan Pablo Gonzalez-Aguilera, Young-Kee Kim +6
Particle accelerators are invaluable discovery engines in the chemical, biological and physical sciences. Characterization of the accelerated beam response to accelerator input par…
Multi-Objective Bayesian Optimization for Accelerator Tuning
Ryan Roussel, Adi Hanuka, Auralee Edelen
Particle accelerators require constant tuning during operation to meet beam quality, total charge and particle energy requirements for use in a wide variety of physics, chemistry a…
Longitudinal current profile reconstruction from wakefield response in plasmas and structures
Ryan Roussel, Gerard Andonian, James Rosenzweig +1
Present-day and next-generation accelerators, particularly for applications in driving wakefield-based schemes, require longitudinal beam shaping and attendant longitudinal charact…
Single-Shot Characterization of High Transformer Ratio Wakefields in Nonlinear Plasma Acceleration
Ryan Roussel, Gerard Andonian, Walter Lynn +6
Plasma wakefields can enable very high accelerating gradients for frontier high energy particle accelerators, in excess of 10 GeV/m. To overcome limits on total acceleration achiev…
Next Generation High Brightness Electron Beams From Ultra-High Field Cryogenic Radiofrequency Photocathode Sources
J. B. Rosenzweig, A. Cahill, V. Dolgashev +12
Recent studies of the performance of radio-frequency (RF) copper cavities operated at cryogenic temperatures have shown a dramatic increase in the maximum achievable surface electr…