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Geometry Optimization of Muon Production Graphite Target by 600 MeV Proton Beam
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jeong, Jae Young | - |
| dc.contributor.author | Kim, Jae Chang | - |
| dc.contributor.author | Son, Jaebum | - |
| dc.contributor.author | Pak, Kihong | - |
| dc.contributor.author | Kim, Yong Kyun | - |
| dc.contributor.author | Lee, Ju Hahn | - |
| dc.date.accessioned | 2022-07-06T14:44:57Z | - |
| dc.date.available | 2022-07-06T14:44:57Z | - |
| dc.date.created | 2022-03-07 | - |
| dc.date.issued | 2021-08 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/141219 | - |
| dc.description.abstract | The Rare Isotope Science Project was launched in December 2011, and a heavy-ion accelerator complex in Korea, named RAON, has been designed, including a muon facility for muon spin rotation, relaxation, and resonance (μSR). In this study, the graphite target in RAON was designed to have a rotating ring shape and was cooled by radiative heat transfer, which presents advantages in the cool-down process such as a low-temperature gradient in the target and no necessity of a liquid coolant-cooling system. Monte-Carlo simulations and ANSYS calculations were performed to optimize the proton beam size and the dimensions of the target to produce a sufficient number of surface muons in a thermally stable condition. A comparison between the simulation and the experimental data was also included in this paper in order to obtain a reliable result. The expected number of surface muons was 6.942×108 with a 100 kW proton beam and Δp/p~5%. The maximum temperature was 2012 °K and the maximum stress in the target was 8.1598 kPa with the 400 kW proton beam, which guarantees safety during the replacement cycle of the target. | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | IEEE | - |
| dc.title | Geometry Optimization of Muon Production Graphite Target by 600 MeV Proton Beam | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Kim, Yong Kyun | - |
| dc.identifier.doi | 10.1109/NSS/MIC42677.2020.9508097 | - |
| dc.identifier.scopusid | 2-s2.0-85124695848 | - |
| dc.identifier.bibliographicCitation | 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020, pp.1 - 2 | - |
| dc.relation.isPartOf | 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020 | - |
| dc.citation.title | 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 2 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Conference Paper | - |
| dc.description.journalClass | 1 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.subject.keywordPlus | Graphite | - |
| dc.subject.keywordPlus | Heat transfer | - |
| dc.subject.keywordPlus | Heavy ions | - |
| dc.subject.keywordPlus | Ion beams | - |
| dc.subject.keywordPlus | Monte Carlo methods | - |
| dc.subject.keywordPlus | Proton beams | - |
| dc.subject.keywordPlus | Temperature | - |
| dc.subject.keywordPlus | Intelligent systems | - |
| dc.subject.keywordPlus | Geometry optimization | - |
| dc.subject.keywordPlus | Graphite target | - |
| dc.subject.keywordPlus | High energy physic instrumentation computing | - |
| dc.subject.keywordPlus | High energy physics instrumentations | - |
| dc.subject.keywordPlus | Instrumentation computing | - |
| dc.subject.keywordPlus | Intra-nuclear cascade | - |
| dc.subject.keywordPlus | Muon productions | - |
| dc.subject.keywordPlus | Proton interactions | - |
| dc.subject.keywordPlus | Rare isotopes | - |
| dc.subject.keywordPlus | Surface muons | - |
| dc.subject.keywordAuthor | High energy physics instrumentation computing | - |
| dc.subject.keywordAuthor | Intra-nuclear cascade | - |
| dc.subject.keywordAuthor | Monte-Carlo simulation | - |
| dc.subject.keywordAuthor | Protons interactions | - |
| dc.identifier.url | https://ieeexplore.ieee.org/document/9508097 | - |
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