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Author: H. Shang


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Reference
Y. Sun et al., “APS LINAC Interleaving Operation”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 1161-1163.
K. C. Harkay et al., “High-Charge Injector for on-Axis Injection Into A High-Performance Storage Ring Light Source”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 3423-3426.
A. Das et al., “Anomaly Detection in Accelerator Facilities Using Machine Learning”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 304-307.
C. Yao, J. R. Calvey, G. I. Fystro, A. F. Pietryla, and H. Shang, “APS Booster Injection Horizontal Trajectory Control Upgrade”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 449-450.
X. Huang, H. Shang, and C. Yao, “Characterization of Linear Optics and Beam Parameters for the APS Booster with Turn-by-Turn BPM Data”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 703-706.
Y. Sun, M. Borland, G. I. Fystro, X. Huang, and H. Shang, “Recent Operational Experience with Thermionic RF Guns at the APS”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 3959-3962.
H. Shang, M. Borland, X. Huang, M. Song, Y. Sun, and Z. Zhang, “Experience with On-line Optimizers for APS Linac Front End Optimization”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 2151-2154.
H. Shang, R. Maulik, Y. Sun, and T. Xu, “Application of Artificial Neural Network in the APS Linac Bunch Charge Transmission Efficiency”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 2155-2158.
A. Hanuka, J. P. Duris, H. Shang, and Y. Sun, “Demonstration of Machine Learning Front-End Optimization of the Advanced Photon Source Linac”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 2163-2166.
N. Kuklev, M. Borland, G. I. Fystro, H. Shang, and Y. Sun, “Online Accelerator Tuning with Adaptive Bayesian Optimization”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 842-845.


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