2 papers
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.ins-det2025
Intelligent experiments through real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and future EIC detectors
J. Kvapil, G. Borca-Tasciuc, H. Bossi +30
This R\&D project, initiated by the DOE Nuclear Physics AI-Machine Learning initiative in 2022, leverages AI to address data processing challenges in high-energy nuclear experiment…