activity
20122018
most citedNeural Networks for Modeling and Control of Particle Accelerators

106 citations · 125 across the 8 of their papers we have counts for

collaborators

8 papers

physics.acc-ph2018★ 4 cited

PIP-II Injector Test Warm Front End: Commissioning Update

L. Prost, R. Andrews, C. Baffes +19

The Warm Front End (WFE) of the Proton Improvement Plan II Injector Test at Fermilab has been constructed to its full length. It includes a 15-mA DC, 30-keV H- ion source, a 2 m-lo…

physics.acc-ph2018★ 2 cited

Commissioning And First Results From The Fermilab Cryomodule Test Stand

E. R. Harms, M. Awida, C. Baffes +34

A new test stand dedicated to Superconducting Radiofrequency (SRF) cryomodule testing, CMTS1, has been commissioned and is now in operation at Fermilab. The first device to be cool…

physics.acc-ph2018

Automatic phase calibration for RF cavities using beam-loading signals

J. P. Edelen, B. E. Chase

Precise calibration of the cavity phase signals is necessary for the operation of any particle accelerator. For many systems this requires human in the loop adjustments based on me…

physics.acc-ph2016★ 4 cited

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…

physics.acc-ph2016★ 1 cited

Resonant Frequency Control For the PIP-II Injector Test RFQ: Control Framework and Initial Results

A. L. Edelen, S. G. Biedron, S. V. Milton +5

For the PIP-II Injector Test (PI-Test) at Fermilab, a four-vane radio frequency quadrupole (RFQ) is designed to accelerate a 30-keV, 1-mA to 10-mA, H- beam to 2.1 MeV under both pu…

physics.acc-ph2016★ 106 cited

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…