| Paper |
Title |
Other Keywords |
Page |
| MOP032 |
Control System in 10 MeV Cyclotron Based on IoT |
controls, cyclotron, cavity, monitoring |
106 |
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- M. Mohamadian, H. Afarideh, S. Babaee, H. Pashaei, N. Salmani
AUT, Tehran, Iran
- M. Ghergherehchi
SKKU, Suwon, Republic of Korea
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The Internet of Things (IoT) is one of the new most advanced technologies in the world. One of the application of this technology is using it in places where remote control is preferred or it needs to control various processes at different times throughout the day. The cyclotron accelerator is one such system in which the start-up process until radio medicine production requires continuous monitoring and inspection. In this research, we have tried to use the internet of things technology in the process of cyclotron control system specially in fine tuning section.
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Poster MOP032 [0.936 MB]
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| DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-Cyclotrons2019-MOP032
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| About • |
paper received ※ 14 September 2019 paper accepted ※ 24 September 2019 issue date ※ 20 June 2020 |
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| TUP030 |
Reinforcement Learning Based RF Control System for Accelerator Mass Spectrometry |
controls, cyclotron, resonance, cavity |
227 |
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- H.S. Kim, J.-S. Chai, Kh.M. Gad, M. Ghergherehchi, D.H. Ha, J.C. Lee, H. Namgoong
SKKU, Suwon, Republic of Korea
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Funding: Radiation Technology R&D program through the National Research Foundation of Korea funded by the Ministry of Science, ICT & Future Planning through the National Research Foundation of Korea
Accelerator Mass Spectrometry (AMS) is a powerful method for separating rare isotopes and electrostatic type tandem accelerators have been widely used. At SungKyunKwan University, we are developing a AMS that can be used in a small space with higher resolution based on cyclotron. In contrast to the cyclotron used in conventional PET or proton therapy, the cyclotron-based AMS is characterized by high turn number and low dee voltage for high resolution. It is designed to accelerate not only 14C but also 13C or 12C. The AMS cyclotron RF control model has nonlinear characteristics due to the variable beam loading effect due to the acceleration of various particles and injected sample amounts. In this work, we proposed an AMS control system based on reinforcement learning. The proposed reinforcement learning finds the target control value in response to the environment through the learning process. We have designed a reinforcement learning based controller with RF system as an environment and verified the reinforcement learning based controller designed through the modeled cavity.
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Poster TUP030 [0.527 MB]
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| DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-Cyclotrons2019-TUP030
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| About • |
paper received ※ 14 September 2019 paper accepted ※ 25 September 2019 issue date ※ 20 June 2020 |
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| THC03 |
Design of Accelerator Mass Spectrometry Based on a Cyclotron |
cyclotron, controls, resonance, ion-source |
314 |
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- H. Namgoong, J.-S. Chai, M. Ghergherehchi, D.H. Ha, H.S. Kim, J.C. Lee
SKKU, Suwon, Republic of Korea
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In this paper, we present a cyclotron-based accelerator mass spectrometry system. Conventional AMS systems use tandem accelerators for generating carbon-14 beams. We have developed an ion source, RF buncher, cyclotron, triplet quadrupole, detector and dipole magnet for an AMS system.
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Slides THC03 [9.741 MB]
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| DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-Cyclotrons2019-THC03
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| About • |
paper received ※ 15 September 2019 paper accepted ※ 26 September 2019 issue date ※ 20 June 2020 |
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reference for this paper using
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