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Author: R. M. Thurman-Keup


References



Reference
A. H. Lumpkin et al., “Observations on Submicropulse Electron-Beam Effects From Short-Range Wakefields in Tesla-Type Superconducting Rf Cavities”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 2105-2108.
A. H. Lumpkin et al., “Investigations of Long-Range Wakefield Effects in a TESLA-type Cryomodule at FAST”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 2109-2112.
J. A. Diaz Cruz et al., “Machine Learning Training for HOM Reduction in a TESLA-Type Cryomodule at FAST”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 400-403.
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.
S. Nagaitsev et al., “Noise in Intense Electron Bunches”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 128-131.
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.
R. M. Thurman-Keup, “Non-Invasive Transverse Profile Measurement Methods”, presented at the HB'23 (HB), Geneva, Switzerland, Oct. 2023, paper THC2I1, unpublished.
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.


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