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Author: Y. Gao


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Reference
Y. Gao, K. A. Brown, P. S. Dyer, S. Seletskiy, and H. Zhao, “Applying Machine Learning to Optimization of Cooling Rate at Low Energy RHIC Electron Cooler”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 3391-3394.
Y. Gao, T. G. Robertazzi, K. A. Brown, and J. Chen, “A Success-History Based Learning Procedure to Optimize Server Throughput in Large Distributed Control Systems”, in Proc. 16th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'17), Barcelona, Spain, Oct. 2017, pp. 1182-1189.
Y. Gao, T. G. Robertazzi, K. A. Brown, J. Morris, and R. H. Olsen, “A New Simulation Architecture for Improving Software Reliability in Collider-Accelerator Control Systems”, in Proc. 16th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'17), Barcelona, Spain, Oct. 2017, pp. 1261-1265.
Y. Gao, T. G. Robertazzi, K. A. Brown, J. Morris, and R. H. Olsen, “A New Simulation Stucture to Improve Software Dependability in Collider-Accelerator Control Systems”, in Proc. 17th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'19), New York, NY, USA, Oct. 2019, pp. 300.
Y. Gao, T. G. Robertazzi, K. A. Brown, M. Harvey, J. Morris, and R. H. Olsen, “A New Simulation Timing System for Software Testing in Collider-Accelerator Control Systems”, in Proc. 17th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'19), New York, NY, USA, Oct. 2019, pp. 306.
Y. Jiao et al., “Progress of physics studies and beam commissioning of the High Energy Photon Source”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPG31, this conference.
Z. Ni, L. Li, J. Liu, J. Luo, X. Zhou, and Y. Gao, “The Design of Intelligent Integrated Control Software Framework of Facilities for Scientific Experiments”, in Proc. 17th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'19), New York, NY, USA, Oct. 2019, pp. 131.


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