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MOPO006 |
Development of High Temperature Superconducting ECR Ion Source Using REBCO Coils |
62 |
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- T.H. Chong, M. Fukuda, T. Hara, H. Kanda, M. Kittaka, S. Matsui, K. Takeda, Y. Yasuda, T. Yorita, H. Zhao
RCNP, Osaka, Japan
- S. Fukui
Niigata University, Niigata, Japan
- T. Hirayama, Y. Matsubara, Y. Mikami, T. Takahashi, J. Yoshida
SHI, Kanagawa, Japan
- A. Ishiyama
Waseda University, Tokyo, Japan
- S. Noguchi
Hokkaido University, Sapporo, Japan
- H. Ueda
Okayama University, Okayama, Japan
- T. Watabe
Chuba, Aichi, Japan
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A high temperature superconducting ECR ion source (HTS-ECR) using REBCO coils is under development in Research Center for Nuclear Physics(RCNP), Osaka University. REBCO tapes are the second-generation high temperature superconductor, which maintains a high critical current even being placed in a strong external magnetic field. Using this REBCO coils as electromagnets, the HTS-ECR was designed to operate at microwave frequencies of 2.45 GHz and 10 GHz, for the purpose of producing high intensity proton, deuteron and helium beams. In this work, the low-temperature performance test results of the REBCO coils will be presented. The coil system and plasma chamber designed for the HTS-ECR will also be discussed. Results yielded in this research will also be made the best use of the development of a skeleton cyclotron, a compact air-core cyclotron which is under development in RCNP, Osaka University.
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Poster MOPO006 [3.590 MB]
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DOI • |
reference for this paper
※ doi:10.18429/JACoW-CYCLOTRONS2022-MOPO006
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About • |
Received ※ 21 December 2022 — Revised ※ 11 January 2023 — Accepted ※ 01 February 2023 — Issue date ※ 26 May 2023 |
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WEAI02 |
Upgrade of the RCNP AVF Cyclotron |
143 |
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- M. Fukuda, T.H. Chong, T. Hara, K. Hatanaka, S. Imajo, H. Kanda, M. Kittaka, S. Matsui, S. Morinobu, Y. Morita, K. Nagayama, T. Saito, T. Shima, K. Takeda, H. Tamura, D. Tomono, Y. Yasuda, T. Yorita, H. Yoshida, H. Zhao
RCNP, Osaka, Japan
- M. Nakao
Gunma University, Heavy-Ion Medical Research Center, Maebashi-Gunma, Japan
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The upgrade program of the RCNP K140 AVF cyclotron was started in 2019 to provide not only an intense light ion beam for short-lived RI production but also a high-quality intense beam for precision experiments in nuclear physics. Most of equipment besides the main coil, pole and yoke of the cyclotron magnet was replaced by new one. Especially the RF, injection and extraction systems were fully modified to increase a beam current. A new coaxial-type resonator was designed to cover a frequency range from 16 to 36 MHz for acceleration of staple particles using acceleration harmonic mode of h=2 and h=6. The acceleration voltage of ion sources was increased from 15 kV to 50 kV to enhance the beam intensity and to reduce the beam emittance for injecting a high-quality intense ion beam into the cyclotron. The central region of the cyclotron was fully redesigned to improve beam transmission from the LEBT system. Beam commissioning was started from May 2022, and a 28 MeV 4He2+ beam was supplied to produce a short-lived RI of At-211 used for the targeted alpha-particle therapy. A 65 MeV proton beam was successfully injected into the K400 ring cyclotron to provide a 392 MeV proton beam for production of a white neutron flux and a muon beam. Several ion beams have been already used for academic research and industrial applications.
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Slides WEAI02 [9.428 MB]
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DOI • |
reference for this paper
※ doi:10.18429/JACoW-CYCLOTRONS2022-WEAI02
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About • |
Received ※ 16 January 2023 — Revised ※ 27 January 2023 — Accepted ※ 01 February 2023 — Issue date ※ 20 April 2023 |
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THPO019 |
Control of a Cyclotron and an ECR Ion Source Using Bayesian Optimization Method |
347 |
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- Y. Morita, M. Fukuda, H. Kanda, T. Yorita
RCNP, Osaka, Japan
- T. Washio
ISIR, Osaka, Japan
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An enormous number of parameters are tuned during accelerator operation. The tuning is ultimately dependent on the operator’s knowledge and experience. Therefore, there is a risk that tuning time and accuracy may vary depending on the operator. This tuning difficulty is an extremely important issue when implementing accelerometers in society, such as in medical applications. In this study, we developed an automatic tuning method using Bayesian optimization, one of the machine learning technique. The aim is to realize a tuning method that can supply beams in a short time with good reproducibility and comparable to manual tuning.
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Poster THPO019 [0.700 MB]
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DOI • |
reference for this paper
※ doi:10.18429/JACoW-CYCLOTRONS2022-THPO019
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About • |
Received ※ 21 December 2022 — Revised ※ 29 January 2023 — Accepted ※ 09 February 2023 — Issue date ※ 12 February 2023 |
Cite • |
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※ Text/Word,
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