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[n] A. Aslam, M. Babzien, and S. Biedron, “Applications of Machine Learning in Photo-Cathode Injectors”, in Proc. NAPAC'22, Albuquerque, NM, USA, Aug. 2022, pp. 441-442. doi:10.18429/JACoW-NAPAC2022-TUPA41
[n] T. B. Bolin et al., “Data Analysis and Control of an MeV Ultrafast Electron Diffraction System using Machine Learning”, in Proc. LINAC'22, Liverpool, UK, Aug.-Sep. 2022, pp. 650-652. doi:10.18429/JACoW-LINAC2022-WE2AA04
[n] A. Chapelain, D. Rubin, J. Crittenden, J. Shanks, S. Wang, and V. Khachatryan, “An improved beam-based method to calibrate the relative gains of the beam position monitor pick-up electrodes at the Cornell Electron Storage Ring”, in Proc. IPAC'24, Nashville, TN, USA, May 2024, pp. 2232-2235. doi:10.18429/JACoW-IPAC2024-WEPG20
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References
- A. Aslam, M. Babzien, and S. Biedron, “Applications of Machine Learning in Photo-Cathode Injectors”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 441-442.
- T. B. Bolin et al., “Data Analysis and Control of an MeV Ultrafast Electron Diffraction System using Machine Learning”, in Proc. 31st Linear Accelerator Conf. (LINAC'22), Liverpool, UK, Aug.-Sep. 2022, pp. 650-652.
- A. Chapelain, D. Rubin, J. Crittenden, J. Shanks, S. Wang, and V. Khachatryan, “An improved beam-based method to calibrate the relative gains of the beam position monitor pick-up electrodes at the Cornell Electron Storage Ring”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper WEPG20, pp. 2232-2235.
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