The Joint Accelerator Conferences Website (JACoW) is an international collaboration that publishes the proceedings of accelerator conferences held around the world.
@inproceedings{hazelwood:ipac2021-mopab288,
author = {K.J. Hazelwood and M.R. Austin and M.A. Ibrahim and H. Liu and S. Memik and V.P. Nagaslaev and A. Narayanan and D.J. Nicklaus and A.L. Saewert and B.A. Schupbach and K. Seiya and R. Shi and M. Thieme and R.M. Thurman-Keup and N.V. Tran},
% author = {K.J. Hazelwood and M.R. Austin and M.A. Ibrahim and H. Liu and S. Memik and V.P. Nagaslaev and others},
% author = {K.J. Hazelwood and others},
title = {{Real-Time Edge AI for Distributed Systems (READS): Progress on Beam Loss De-Blending for the Fermilab Main Injector and Recycler}},
booktitle = {Proc. IPAC'21},
pages = {912--915},
eid = {MOPAB288},
language = {english},
keywords = {network, real-time, operation, distributed, FPGA},
venue = {Campinas, SP, Brazil},
series = {International Particle Accelerator Conference},
number = {12},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {08},
year = {2021},
issn = {2673-5490},
isbn = {978-3-95450-214-1},
doi = {10.18429/JACoW-IPAC2021-MOPAB288},
url = {https://jacow.org/ipac2021/papers/mopab288.pdf},
note = {https://doi.org/10.18429/JACoW-IPAC2021-MOPAB288},
abstract = {{The Fermilab Main Injector enclosure houses two accelerators, the Main Injector and Recycler. During normal operation, high intensity proton beams exist simultaneously in both. The two accelerators share the same beam loss monitors (BLM) and monitoring system. Beam losses in the Main Injector enclosure are monitored for tuning the accelerators and machine protection. Losses are currently attributed to a specific machine based on timing. However, this method alone is insufficient and often inaccurate, resulting in more difficult machine tuning and unnecessary machine downtime. Machine experts can often distinguish the correct source of beam loss. This suggests a machine learning (ML) model may be producible to help de-blend losses between machines. Work is underway as part of the Fermilab Real-time Edge AI for Distributed Systems Project (READS) to develop a ML empowered system that collects streamed BLM data and additional machine readings to infer in real-time, which machine generated beam loss.}},
}