JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
TY - CONF AU - Thieme, M. AU - Arnold, J.M.S. AU - Austin, M.R. AU - Hanlet, P.M. AU - Hazelwood, K.J. AU - Ibrahim, M.A. AU - Liu, H. AU - Memik, S. 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 - Thurman-Keup, R.M. AU - Tran, N.V. ED - Biedron, Sandra ED - Simakov, Evgenya ED - Milton, Stephen ED - Anisimov, Petr M. ED - Schaa, Volker R.W. TI - Semantic Regression for Disentangling Beam Losses in the Fermilab Main Injector and Recycler J2 - Proc. of NAPAC2022, Albuquerque, NM, USA, 07-12 August 2022 CY - Albuquerque, NM, USA T2 - International Particle Accelerator Conference T3 - 5 LA - english AB - Fermilab’s Main Injector enclosure houses two accelerators: the Main Injector (MI) and the Recycler (RR). In periods of joint operation, when both machines contain high intensity beam, radiative beam losses from MI and RR overlap on the enclosure’s beam loss monitoring (BLM) system, making it difficult to attribute those losses to a single machine. Incorrect diagnoses result in unnecessary downtime that incurs both financial and experimental cost. In this work, we introduce a novel neural approach for automatically disentangling each machine’s contributions to those measured losses. Using a continuous adaptation of the popular UNet architecture in conjunction with a novel data augmentation scheme, our model accurately infers the machine of origin on a per-BLM basis in periods of joint and independent operation. Crucially, by extracting beam loss information at varying receptive fields, the method is capable of learning both local and global machine signatures and producing high quality inferences using only raw BLM loss measurements. PB - JACoW Publishing CP - Geneva, Switzerland SP - 112 EP - 115 KW - operation KW - real-time KW - distributed KW - proton KW - beam-losses DA - 2022/10 PY - 2022 SN - 2673-7000 SN - 978-3-95450-232-5 DO - doi:10.18429/JACoW-NAPAC2022-MOPA28 UR - https://jacow.org/napac2022/papers/mopa28.pdf ER -