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Disentangling Beam Losses in The Fermilab Main Injector Enclosure Using Real-Time Edge AI

Conference · · JACoW
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  1. Fermilab
  2. Northwestern U.
  3. Northern Illinois U.; Fermilab
The Fermilab Main Injector enclosure houses two accelerators, the Main Injector and Recycler Ring. During normal operation, high intensity proton beams exist simultaneously in both. The two accelerators share the same beam loss monitors (BLM) and monitoring system. Deciphering the origin of any of the 260 BLM readings is often difficult. The (Accelerator) Real-time Edge AI for Distributed Systems project, or READS, has developed an AI/ML model, and implemented it on fast FPGA hardware, that disentangles mixed beam losses and attributes probabilities to each BLM as to which machine(s) the loss originated from in real-time. The model inferences are then streamed to the Fermilab accelerator controls network (ACNET) where they are available for operators and experts alike to aid in tuning the machines.
Research Organization:
Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
DOE Contract Number:
AC02-07CH11359
OSTI ID:
2377381
Report Number(s):
FERMILAB-CONF-23-441-AD-CSAID; oai:inspirehep.net:2754565
Conference Information:
Journal Name: JACoW Journal Volume: ICALEPCS2023
Country of Publication:
United States
Language:
English

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