106 citations · 124 across the 6 of their papers we have counts for
6 papers
Machine Learning for Reducing Noise in RF Control Signals at Industrial Accelerators
M. Henderson, J. P. Edelen, J. Einstein-Curtis +3
Industrial particle accelerators typically operate in dirtier environments than research accelerators, leading to increased noise in RF and electronic systems. Furthermore, given t…
Variational Autoencoders for Noise Reduction in Industrial LLRF Systems
J. P. Edelen, M. J. Henderson, J. Einstein-Curtis +3
Industrial particle accelerators inherently operate in much dirtier environments than typical research accelerators. This leads to an increase in noise both in the RF system and in…
Installation Progress At The PIP-II Injector Test At Fermilab
C. Baffes, M. Alvarez, R. Andrews +14
A CW-compatible, pulsed H- superconducting linac "PIP-II" is being planned to upgrade Fermilab's injection complex. To validate the front-end concept, a test accelerator (The PIP-I…
Neural Network Model Of The PXIE RFQ Cooling System and Resonant Frequency Response
A. L. Edelen, S. G. Biedron, S. V. Milton +4
As part of the PIP-II Injector Experiment (PXIE) accelerator, a four-vane radio frequency quadrupole (RFQ) accelerates a 30-keV, 1-mA to 10-mA H- ion beam to 2.1 MeV. It is designe…
First Steps Toward Incorporating Image Based Diagnostics Into Particle Accelerator Control Systems Using Convolutional Neural Networks
A. L. Edelen, S. G. Biedron, S. V. Milton +1
At present, a variety of image-based diagnostics are used in particle accelerator systems. Often times, these are viewed by a human operator who then makes appropriate adjustments…
Neural Networks for Modeling and Control of Particle Accelerators
A. L. Edelen, S. G. Biedron, B. E. Chase +3
We describe some of the challenges of particle accelerator control, highlight recent advances in neural network techniques, discuss some promising avenues for incorporating neural…