메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Linjun Hou (Xi’an Research Institute of Hi-Tech) Quanhu Zhang (Xi’an Research Institute of Hi-Tech) Jianqing Yang (Xi’an Research Institute of Hi-Tech) Xingfu Cai (Xi’an Research Institute of Hi-Tech) Qingxu Yao (Xi’an Research Institute of Hi-Tech) Yonggang Huo (Xi’an Research Institute of Hi-Tech) Qifan Chen (Xi’an Research Institute of Hi-Tech)
저널정보
한국원자력학회 Nuclear Engineering and Technology Nuclear Engineering and Technology 제53권 제7호
발행연도
2021.7
수록면
2,348 - 2,356 (9page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
As a relatively new radiation imaging method, the cosmic-ray muon scattering imaging technology canbe used to prevent nuclear smuggling and is of considerable significance to nuclear safety. Proposed inthis paper is a new reconstruction algorithm based on density clustering, aiming to improve inspectionquality with better performance. Firstly, this new algorithm is introduced in detail. Then in order toeliminate the inequity of the density threshold caused by the heterogeneity of the muon flux in differentpositions, a new flux correction method is proposed. Finally, three groups of simulation experiments arecarried out with the help of Geant4 toolkit to optimize the algorithm parameters, verify the correctionmethod and test the inspection quality under shielded condition, and compare this algorithm withanother common inspection algorithm under different conditions. The results show that this algorithmcan effectively identify and locate nuclear material with low misjudging and missing rates even whenthere is shielding and momentum precision is low, and the threshold correcting method is universallyeffective for density clustering algorithms.

목차

등록된 정보가 없습니다.

참고문헌 (34)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0