2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AR2023
ML-based Real-Time Control at the Edge: An Approach Using hls4ml
R. Shi, S. Ogrenci, J. M. Arnold +16
This study focuses on implementing a real-time control system for a particle accelerator facility that performs high energy physics experiments. A critical operating parameter in t…
physics.acc-ph2022★ 2 cited
Synchronous High-frequency Distributed Readout For Edge Processing At The Fermilab Main Injector And Recycler
J. R. Berlioz, M. R. Austin, J. M. Arnold +17
The Main Injector (MI) was commissioned using data acquisition systems developed for the Fermilab Main Ring in the 1980s. New VME-based instrumentation was commissioned in 2006 for…
physics.acc-ph2021
Accelerator Real-time Edge AI for Distributed Systems (READS) Proposal
K. Seiya, K. J. Hazelwood, M. A. Ibrahim +7
Our objective will be to integrate ML into Fermilab accelerator operations and furthermore provide an accessible framework which can also be used by a broad range of other accelera…