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Author: R. S. Rainer


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Reference
Y. Li, Y. Jiao, A. Liu, R. S. Rainer, and J. Wan, “Data-Driven Chaos Indicator for Nonlinear Dynamics and Applications on Storage Ring Lattice Design”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 596-599.
Y. Li, W. X. Cheng, Y. Hao, and R. S. Rainer, “Analysis of Beam Position Monitor Requirements with Bayesian Gaussian Regression”, in Proc. North American Particle Accelerator Conf. (NAPAC'19), Lansing, MI, USA, Sep. 2019, pp. 912-915.
Y. Li, W. X. Cheng, R. S. Rainer, and L. Yu, “Genetic Algorithm Enhanced by Machine Learning in Dynamic Aperture Optimization”, in Proc. 13th International Computational Accelerator Physics Conference (ICAP'18), Key West, Florida, USA, Oct. 2018, pp. 8-14.
Y. Li, W. X. Cheng, K. Ha, and R. S. Rainer, “Transparent Lattice Characterization with Gated Turn-by-Turn Data of Diagnostic Bunch-Train”, in Proc. 60th ICFA Advanced Beam Dynamics Workshop on Future Light Sources (FLS'18), Shanghai, China, Mar. 2018, pp. 171-176.
Y. Li, W. X. Cheng, and R. S. Rainer, “Bayesian Approach for Linear Optics Correction”, in Proc. 10th Int. Particle Accelerator Conf. (IPAC'19), Melbourne, Australia, May 2019, pp. 390-392.
Y. Li, R. S. Rainer, V. V. Smaluk, and D. Xu, “Nonlinear Optics From Hybrid Dispersive Orbits”, in Proc. 67th ICFA Advanced Beam Dynamics Workshop on Future Light Sources (FLS'23), Luzern, Switzerland, Aug.-Sep. 2023, paper TU1B3, pp. 62-65.
Y. Li, R. S. Rainer, and V. V. Smaluk, “Characterization of Fully Coupled Linear Optics with Turn-by-Turn Data”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 805-808.
Y. Li, K. Hwang, C. E. Mitchell, R. S. Rainer, R. D. Ryne, and V. V. Smaluk, “Design of Double- and Multi-Bend Achromat Lattices with Large Dynamic Aperture and Approximate Invariants”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 1945-1948.
Y. Li and R. S. Rainer, “Designing Linear Lattices for Round Beam in Electron Storage Rings Using SLIM”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 592-595.
R. P. Fliller et al., “Application of Machine Learning to Minimize Long Term Drifts in the NSLS-II Linac”, in Proc. 9th Int. Particle Accelerator Conf. (IPAC'18), Vancouver, Canada, Apr.-May 2018, pp. 1867-1869.


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