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Author: D. Lu


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Reference
J. Xiao et al., “An Ultra-Low Energy Electron Beam Ion Trap in Shanghai”, in Proc. 4th Int. Particle Accelerator Conf. (IPAC'13), Shanghai, China, May 2013, paper MOPFI066, pp. 434-436.
D. Lu, Y. Shen, Z. Shi, J. Xiao, Y. Yang, and Y. Zou, “Redesign and Development of the Shanghai Electron Beam Ion Trap”, in Proc. 4th Int. Particle Accelerator Conf. (IPAC'13), Shanghai, China, May 2013, paper MOPFI082, pp. 467-469.
G. C. Pappas, D. Lu, M. Schram, and D. L. Vrabie, “Machine Learning for Improved Availability of the SNS Klystron High Voltage Converter Modulators”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 4303-4306.
C. C. Peters et al., “Machine Learning for Time Series Prediction of an Accelerator Beam to Recognize Equipment Malfunction”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 2272-2275.
M. I. Radaideh et al., “Progress on Machine Learning for the SNS High Voltage Converter Modulators”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 715-718.


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