|
A. Warner et al., “Machine Protection System Research and Development for the Fermilab PIP-II Proton Linac”, in Proc. 16th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'17), Barcelona, Spain, Oct. 2017, pp. 1643-1645. |
|
K. J. Hazelwood et al., “Real-Time Edge AI for Distributed Systems (READS): Progress on Beam Loss De-Blending for the Fermilab Main Injector and Recycler”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 912-915. |
|
J. R. Berlioz et al., “Synchronous High-Frequency Distributed Readout for Edge Processing at the Fermilab Main Injector and Recycler”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 79-82. |
|
M. Thieme et al., “Semantic Regression for Disentangling Beam Losses in the Fermilab Main Injector and Recycler”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 112-115. |
|
A. Narayanan et al., “Machine Learning for Slow Spill Regulation in the Fermilab Delivery Ring for Mu2e”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 214-217. |
|
K. J. Hazelwood et al., “Disentangling Beam Losses in The Fermilab Main Injector Enclosure Using Real-Time Edge AI”, in Proc. 19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'23), Cape Town, South Africa, Oct. 2023, paper TU1BCO06, pp. 273-279. |
|
M. A. Ibrahim et al., “FPGA Architectures for Distributed ML Systems for Real-Time Beam Loss De-Blending”, in Proc. 12th International Beam Instrumentation Conference (IBIC'23), Saskatoon, Canada # e.g. "Barcelona, Spain" or "San Francisco, CA, USA", Sep. 2023, paper TU3C02, pp. 160-163. |