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RIS citation export for TU1BCO06: Disentangling Beam Losses in The Fermilab Main Injector Enclosure Using Real-Time Edge AI

TY  - CONF
AU  - Hazelwood, K.J.
AU  - Arnold, J.M.S.
AU  - Austin, M.R.
AU  - Berlioz, J.R.
AU  - Hanlet, P.M.
AU  - Hu, J.YC.
AU  - Ibrahim, M.A.
AU  - Jiang, J.
AU  - Liu, H.
AU  - Livaudais-Lewis, A.T.
AU  - Memik, S.
AU  - Mitrevski, J.
AU  - Nagaslaev, V.P.
AU  - Narayanan, A.
AU  - Nicklaus, D.J.
AU  - Pradhan, G.
AU  - Saewert, A.L.
AU  - Schupbach, B.A.
AU  - Seiya, K.
AU  - Shi, R.
AU  - Shuping, A.M.
AU  - Thieme, M.
AU  - Thurman-Keup, R.M.
AU  - Tran, N.V.
AU  - Xu, C.
ED  - Schaa, Volker RW
ED  - Götz, Andy
ED  - Venter, Johan
ED  - White, Karen
ED  - Robichon, Marie
ED  - Rowland, Vivienne
TI  - Disentangling Beam Losses in The Fermilab Main Injector Enclosure Using Real-Time Edge AI
J2  - Proc. of ICALEPCS2023, Cape Town, South Africa, 09-13 October 2023
CY  - Cape Town, South Africa
T2  - International Conference on Accelerator and Large Experimental Physics Control Systems
T3  - 19
LA  - english
AB  - 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. 
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 273
EP  - 279
KW  - FPGA
KW  - real-time
KW  - controls
KW  - operation
KW  - network
DA  - 2024/02
PY  - 2024
SN  - 2226-0358
SN  - 978-3-95450-238-7
DO  - doi:10.18429/JACoW-ICALEPCS2023-TU1BCO06
UR  - https://jacow.org/icalepcs2023/papers/tu1bco06.pdf
ER  -