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physics.acc-ph2025
Fast Adaptive Neural Control of Resonant Extraction at Fermilab
A. Whitbeck, J. Berlioz, K. Danison-Fieldhouse +8
We present progress on the development of a machine learning (ML) regulation system for third-order resonant extraction of the beam delivered to the Mu2e experiment at Fermilab. We…
physics.acc-ph2021
BOOSTR: A Dataset for Accelerator Control Systems
Diana Kafkes, Jason St. John
The Booster Operation Optimization Sequential Time-series for Regression (BOOSTR) dataset was created to provide a cycle-by-cycle time series of readings and settings from instrume…
physics.acc-ph2020
Real-time Artificial Intelligence for Accelerator Control: A Study at the Fermilab Booster
Jason St. John, Christian Herwig, Diana Kafkes +11
We describe a method for precisely regulating the gradient magnet power supply at the Fermilab Booster accelerator complex using a neural network trained via reinforcement learning…