101 citations · 158 across the 9 of their papers we have counts for
8 papers · 1 filter
The LCLS-II Photoinjector Laser Infrastructure
Hao Zhang, Sasha Gilevich, Alan Miahnahri +23
This paper presents a comprehensive technical overview of the Linac Coherent Light Source II (LCLS-II) photoinjector laser system, its first and foremost component. The LCLS-II pho…
Nonlinearly Shaped Pulses in Photoinjectors and Free-Electron Lasers
Nicole Neveu, Randy Lemons, Joseph Duris +4
Photoinjectors and Free Electron Lasers (FEL) are amongst the most advanced systems in accelerator physics and have consistently pushed the boundaries of emittance and x-ray peak p…
Comparison of Multiobjective Optimization Methods for the LCLS-II Photoinjector
Nicole Neveu, Tyler H. Chang, Paris Franz +2
Particle accelerators are among some of the largest science experiments in the world and can consist of thousands of components with a wide variety of input ranges. These systems c…
Strategies in Education, Outreach, and Inclusion to Enhance the US Workforce in Accelerator Science and Engineering
M. Bai, W. A. Barletta, D. L. Bruhwiler +17
We summarize the community-based consensus for improvements concerning education, public outreach, and inclusion in Accelerator Science and Engineering that will enhance the workfo…
Improving Surrogate Model Accuracy for the LCLS-II Injector Frontend Using Convolutional Neural Networks and Transfer Learning
Lipi Gupta, Auralee Edelen, Nicole Neveu +3
Machine learning models of accelerator systems (`surrogate models') are able to provide fast, accurate predictions of accelerator physics phenomena. However, approaches to date typ…
OPAL a Versatile Tool for Charged Particle Accelerator Simulations
Andreas Adelmann, Pedro Calvo, Matthias Frey +9
Many sophisticated computer models have been developed to understand the behaviour of particle accelerators. Even these complex models often do not describe the measured data. Inte…
Machine Learning for Orders of Magnitude Speedup in Multi-Objective Optimization of Particle Accelerator Systems
Auralee Edelen, Nicole Neveu, Yannick Huber +3
High-fidelity physics simulations are powerful tools in the design and optimization of charged particle accelerators. However, the computational burden of these simulations often l…
A Parallel General Purpose Multi-Objective Optimization Framework, with Application to Beam Dynamics
N. Neveu, L. Spentzouris, A. Adelmann +6
Particle accelerators are invaluable tools for research in the basic and applied sciences, in fields such as materials science, chemistry, the biosciences, particle physics, nuclea…