|
A. Uchiyama et al., “High-response PLC-based machine protection system development and performance for SRILAC”, in Proc. 32nd Linear Accelerator Conf. (LINAC'24), Chicago, IL, USA, Aug. 2024, pp. 739-742. |
|
T. Nishi et al., “Beam Acceleration with the Upgraded Riken Heavy-Ion Linac”, in Proc. 64th Advanced Beam Dynamics Workshop on High-Intensity and High-Brightness Hadron Beams (HB'21), Batavia, IL, USA, Oct. 2021, paper THBC1, pp. 231-234. |
|
Y. Morita, K. Kamakura, A. Kasagi, T. Nishi, and N. Oka, “Beam intensity prediction using ECR plasma images and machine learning”, in Proc. 26th International Workshop on ECR Ion Sources (ECRIS'24), Darmstadt, Germany, Sep. 2024, pp. 156-158. |
|
T. Nishi et al., “Development of automatic beam tuning system using Bayesian optimization for high intensity heavy ion beams at RIBF”, in Proc. 16th Int. Conf. on Heavy Ion Accelerator Technology (HIAT'25), East Lansing, MI, USA, Jun. 2025, paper TUP09, pp. 148-151. |
|
T. Nishi and Y. Morita, “Recent developments of machine-learning-based techniques in RIKEN RI Beam Factory”, presented at the 16th Int. Conf. on Heavy Ion Accelerator Technology (HIAT'25), East Lansing, MI, USA, Jun. 2025, paper TUX04, unpublished. |
|
Y. Morita, K. Kamakura, A. Kasagi, T. Nishi, and N. Oka, “Beam intensity prediction for ECR ion source using machine learning”, in Proc. 16th Int. Conf. on Heavy Ion Accelerator Technology (HIAT'25), East Lansing, MI, USA, Jun. 2025, paper WEP08, pp. 241-244. |
