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[n] S. Kuroguchi et al., “Harnessing machine learning for the optimal design of ILC e-driven positron source”, in Proc. IPAC'24, Nashville, TN, USA, May 2024, pp. 886-888. doi:10.18429/JACoW-IPAC2024-MOPS69
[n] M. Yadav et al., “Gas Sheet Diagnostics Using Particle in Cell Code”, in Proc. IPAC'22, Bangkok, Thailand, Jun. 2022, pp. 410-413. doi:10.18429/JACoW-IPAC2022-MOPOPT066
[n] N. Burger et al., “Experimental Characterization of Gas Sheet Transverse Profile Diagnostic”, in Proc. NAPAC'22, Albuquerque, NM, USA, Aug. 2022, pp. 907-909. doi:10.18429/JACoW-NAPAC2022-THZE4
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References
- S. Kuroguchi et al., “Harnessing machine learning for the optimal design of ILC e-driven positron source”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS69, pp. 886-888.
- M. Yadav et al., “Gas Sheet Diagnostics Using Particle in Cell Code”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 410-413.
- N. Burger et al., “Experimental Characterization of Gas Sheet Transverse Profile Diagnostic”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 907-909.
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