Brian Chase

TL;DR: In this paper, a neural network-based control system for particle accelerators is described. And the authors describe some of the challenges of particle accelerator control, highlight recent advances in neural network techniques, discuss some promising avenues for incorporating neural networks into particle accelerator controller systems, and describe a neural networks based control system that is being developed for resonance control of an RF electron gun at the Fermilab Accelerator Science and Technology (FAST) facility.

TL;DR: The International Linear Collider (ILC) is a 200-500 GeV center-of-mass high-luminosity linear electron-positron collider, based on 1.3 GHz superconducting radio-frequency (SCRF) accelerating cavities.

TL;DR: In this paper, a digital control of superconducting cavities for a linear accelerator is presented, where an FPGA-based controller supported by Matlab system is applied.

TL;DR: The Proton Improvement Plan-II (PIP-II) as mentioned in this paper is a set of upgrades and improvements to the Fermilab accelerator complex aimed at supporting a world-leading neutrino program over the next several decades.