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[n] C. Ratcliff, J. Wan, K. Fukushima, and Y. Hao, “Extending JuTrack’s capabilities to the FRIB accelerator to enhance online modeling”, in Proc. HIAT'25, East Lansing, MI, USA, Jun. 2025, pp. 50-53. doi:10.18429/JACoW-HIAT2025-MOP18
[n] I. Kaneko, K. Eguchi-Kasai, T. Kosaka, K. Nakano, and T. Takahashi, “Beam Port and Irradiation Chamber of the RIKEN Cyclotron for Biological Samples”, in Proc. Cyclotrons'86, Tokyo, Japan, Oct. 1986, paper K-10, pp. 633-633.
[n] K. Agari, H. Akiyama, Y. Sato, A. Toyoda, and Y. Morino, “An Application of Machine Learning for the Analysis of Temperature Rise on the Production Target in Hadron Experimental Facility at J-PARC”, in Proc. ICALEPCS'19, New York, NY, USA, Oct. 2019, pp. 992. doi:10.18429/JACoW-ICALEPCS2019-WEMPL001
[n] A. P. Schreckenberger and R. Ainsworth, “Electron Cloud Simulations in the Fermilab Recycler”, in Proc. NAPAC'22, Albuquerque, NM, USA, Aug. 2022, pp. 581-583. doi:10.18429/JACoW-NAPAC2022-WEYE4
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References
- C. Ratcliff, J. Wan, K. Fukushima, and Y. Hao, “Extending JuTrack’s capabilities to the FRIB accelerator to enhance online modeling”, in Proc. 16th Int. Conf. on Heavy Ion Accelerator Technology (HIAT'25), East Lansing, MI, USA, Jun. 2025, paper MOP18, pp. 50-53.
- I. Kaneko, K. Eguchi-Kasai, T. Kosaka, K. Nakano, and T. Takahashi, “Beam Port and Irradiation Chamber of the RIKEN Cyclotron for Biological Samples”, in Proc. 11th Int. Cyclotron Conf. and Their Applications (Cyclotrons'86), Tokyo, Japan, Oct. 1986, paper K-10, pp. 633-633.
- K. Agari, H. Akiyama, Y. Sato, A. Toyoda, and Y. Morino, “An Application of Machine Learning for the Analysis of Temperature Rise on the Production Target in Hadron Experimental Facility at J-PARC”, in Proc. 17th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'19), New York, NY, USA, Oct. 2019, pp. 992.
- A. P. Schreckenberger and R. Ainsworth, “Electron Cloud Simulations in the Fermilab Recycler”, in Proc. North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, NM, USA, Aug. 2022, pp. 581-583.
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