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[n] M. I. Radaideh et al., “Progress on Machine Learning for the SNS High Voltage Converter Modulators”, in Proc. NAPAC'22, Albuquerque, NM, USA, Aug. 2022, pp. 715-718. doi:10.18429/JACoW-NAPAC2022-WEPA38
[n] N. Kuklev, J. Eldred, and M. Balcewicz, “Fermilab Booster beam loss modelling and rebalancing using Bayesian methods”, in Proc. NAPAC'25, Sacramento, California, USA, Aug. 2025, pp. 906-910. doi:10.18429/JACoW-NAPAC2025-THAN02
[n] A. Codutti, R. Bracco, B. Diviacco, D. Millo, R. P. Walker, and D. Zangrando, “Construction of Wiggler W 14.0 for ELETTRA”, in Proc. EPAC'94, London, UK, Jun.-Jul. 1994, pp. 2253-2256.
[n] J. Stanton, R. Sharankova, K. Seiya, and M. Wesley, “Beam loss monitoring with fixed and translating scintillation detectors along the Fermilab drift-tube linac”, in Proc. IPAC'23, Venice, Italy, May 2023, pp. 4673-4675. doi:10.18429/JACoW-IPAC2023-THPL094
[n] H. Ren et al., “High Power Radiofrequency Operation of the Radiofrequency Quadrupoles in the Spallation Neutron Source”, in Proc. IPAC'23, Venice, Italy, May 2023, pp. 869-872. doi:10.18429/JACoW-IPAC2023-MOPL139
[n] A. S. Fisher et al., “Beam-Loss Detection for LCLS-II”, in Proc. IBIC'19, Malmö, Sweden, Sep. 2019, pp. 229-232. doi:10.18429/JACoW-IBIC2019-TUAO02
[n] D. Fischer, M. Denney, A. V. Mishin, S. Proskin, J. Roylance, and L. Young, “Maximizing Output of 3 MeV S-band Industrial Accelerator”, in Proc. NAPAC'22, Albuquerque, NM, USA, Aug. 2022, pp. 723-724. doi:10.18429/JACoW-NAPAC2022-WEPA41
[n] E. Celebi, O. Cakir, G. Turemen, B. Yasatekin, and G. Unel, “Recent Developments in DEMIRCI, the RFQ Design Software”, in Proc. IPAC'17, Copenhagen, Denmark, May 2017, pp. 3830-3832. doi:10.18429/JACoW-IPAC2017-THPAB052
[n] F. Ji et al., “Two-stage constrained Bayesian optimization for particle accelerator tuning”, in Proc. NAPAC'25, Sacramento, California, USA, Aug. 2025, pp. 268-272. doi:10.18429/JACoW-NAPAC2025-MOP094
[n] D. Jones, K. Seiya, V. Kapin, D. Bollinger, and R. Sharankova, “Ion Beam Distribution in the FNAL LEBT”, presented at the IPAC'23, Venice, Italy, May 2023, paper TUPA182, unpublished.
[n] S. Proskin and A. Kulago, “Extreme Density Charge Electron Bunches”, in Proc. RuPAC'12, Saint Petersburg, Russia, Sep. 2012, paper WEPPC005, pp. 456-457.
[n] K. Ahammed, A. Carpenter, J. Li, R. Suleiman, C. Tennant, and L. S. Vidyaratne, “Field Emission Mitigation in CEBAF SRF Cavities Using Deep Learning”, in Proc. NAPAC'22, Albuquerque, NM, USA, Aug. 2022, pp. 676-678. doi:10.18429/JACoW-NAPAC2022-WEPA25
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References
- 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.
- N. Kuklev, J. Eldred, and M. Balcewicz, “Fermilab Booster beam loss modelling and rebalancing using Bayesian methods”, in Proc. 6th North American Particle Accelerator Conference (NAPAC'25), Sacramento, California, USA, Aug. 2025, pp. 906-910.
- A. Codutti, R. Bracco, B. Diviacco, D. Millo, R. P. Walker, and D. Zangrando, “Construction of Wiggler W 14.0 for ELETTRA”, in Proc. 4th European Particle Accelerator Conf. (EPAC'94), London, UK, Jun.-Jul. 1994, pp. 2253-2256.
- J. Stanton, R. Sharankova, K. Seiya, and M. Wesley, “Beam loss monitoring with fixed and translating scintillation detectors along the Fermilab drift-tube linac”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL094, pp. 4673-4675.
- H. Ren et al., “High Power Radiofrequency Operation of the Radiofrequency Quadrupoles in the Spallation Neutron Source”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper MOPL139, pp. 869-872.
- A. S. Fisher et al., “Beam-Loss Detection for LCLS-II”, in Proc. 8th Int. Beam Instrumentation Conf. (IBIC'19), Malmö, Sweden, Sep. 2019, pp. 229-232.
- D. Fischer, M. Denney, A. V. Mishin, S. Proskin, J. Roylance, and L. Young, “Maximizing Output of 3 MeV S-band Industrial Accelerator”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 723-724.
- E. Celebi, O. Cakir, G. Turemen, B. Yasatekin, and G. Unel, “Recent Developments in DEMIRCI, the RFQ Design Software”, in Proc. 8th Int. Particle Accelerator Conf. (IPAC'17), Copenhagen, Denmark, May 2017, pp. 3830-3832.
- F. Ji et al., “Two-stage constrained Bayesian optimization for particle accelerator tuning”, in Proc. 6th North American Particle Accelerator Conference (NAPAC'25), Sacramento, California, USA, Aug. 2025, pp. 268-272.
- D. Jones, K. Seiya, V. Kapin, D. Bollinger, and R. Sharankova, “Ion Beam Distribution in the FNAL LEBT”, presented at the 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPA182, unpublished.
- S. Proskin and A. Kulago, “Extreme Density Charge Electron Bunches”, in Proc. 23rd Russian Particle Accelerator Conf. (RuPAC'12), Saint Petersburg, Russia, Sep. 2012, paper WEPPC005, pp. 456-457.
- K. Ahammed, A. Carpenter, J. Li, R. Suleiman, C. Tennant, and L. S. Vidyaratne, “Field Emission Mitigation in CEBAF SRF Cavities Using Deep Learning”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 676-678.
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