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Author: Y. Gao


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Reference
Y. Gao et al., “Initial results of applying an autoencoder to detect anomalies in the air conditioning systems of the Brookhaven accelerator complex”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL013, pp. 4448-4451.
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.
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.
Y. Gao et al., “Optimization of AGS bunch merging with reinforcement learning”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper TUPS53, this conference.
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.
Y. Gao et al., “Exploratory Data Analysis on the RHIC Cryogenics System Compressor Dataset”, in Proc. 19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'23), Cape Town, South Africa, Oct. 2023, paper TUPDP138, pp. 907-912.
L. K. Nguyen et al., “A Physics-Based Simulator to Facilitate Reinforcement Learning in the RHIC Accelerator Complex”, in Proc. 19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'23), Cape Town, South Africa, Oct. 2023, paper FR2AO04, pp. 1630-1636.


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