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N. Wang, C. Mayes, C. Gulliford, D. Sagan, and G. Hoffstaetter, “EIC cooler injector space charge benchmark”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper TUPL157, pp. 2108-2111. |
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W. Lin, D. Sagan, E. Hamwi, G. Hoffstaetter, and V. Schoefer, “Generalized gradient map tracking in the Siberian snakes of the AGS and RHIC”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPA064, pp. 2793-2796. |
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J. Crittenden et al., “Study of the systematic error contributions to the measurement of beam size using sextupole magnets”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPL013, pp. 3130-3132. |
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E. Hamwi and G. Hoffstaetter, “Higher-order spin depolarization analysis”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper WEPL014, pp. 3133-3135. |
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B. Keune et al., “Design of a High-Power Linac for the industrial production of Isotopes”, presented at the 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL042, unpublished. |
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Y. Gao et al., “Bayesian optimization calibration of ionization profile monitor at the AGS complex”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL012, pp. 4444-4447. |
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W. Lin et al., “Machine learning applications for orbit and optics correction at the Alternating Gradient Synchrotron”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL018, pp. 4460-4463. |
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W. Lin et al., “AGS booster beam-based main quadrupole transfer function measurements”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL009, pp. 4436-4439. |
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J. Wang, G. Hoffstaetter, and D. Sagan, “Beam-based alignment of individual members of sextupole families”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPA038, pp. 4036-4039. |
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E. Hamwi, D. Barber, G. Hoffstaetter, and J. Devlin, “Modeling interference of two first-order resonances with two Siberian snakes using machine learning”, in Proc. 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper MOPS02, pp. 682-685. |
