$\gamma$ spectrum-dose conversion algorithm using artificial neural networks for spectroscopic EPD분광형 전자식 개인 선량계를 위한 인공신경망 기반의 감마스펙트럼-선량 변환 알고리즘 연구

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dc.contributor.advisorCho, Gyuseong-
dc.contributor.advisor조규성-
dc.contributor.authorHwang, Jisung-
dc.date.accessioned2021-05-12T19:33:23Z-
dc.date.available2021-05-12T19:33:23Z-
dc.date.issued2020-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=909905&flag=dissertationen_US
dc.identifier.urihttp://hdl.handle.net/10203/283824-
dc.description학위논문(석사) - 한국과학기술원 : 원자력및양자공학과, 2020.2,[v, 74 p. :]-
dc.description.abstractThis thesis study is about an algorithm for the direct calculation of the ambient dose equivalent H$\ast$(10) from the gamma spectra of a spectroscopic electronic personal dosimeter (EPD) using an artificial neural network (ANN). Previous conventional algorithms of spectrum-to-dose conversion have limitations in terms of several aspects including low accuracy in energy range below ~ 300 keV. It leads to need a new approach for spectrum-to-ambient dose equivalent conversion. Therefore, the ANN based dose conversion model is proposed. The proposed ANN model was trained with the simulated spectra of a CsI(Tl)-PIN diode based EPD using Monte Carlo N-particle transport code 6. The results showed that H$\ast$(10) calculated using the ANN is highly consistent with the theoretical H$\ast$(10) in simulation test and is comparable performance with G(E) function method in experimental test.-
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectArtificial neural networks▼aSpectrum-to-ambient dose conversion▼aElectronic personal dosimeter▼aAmbient dose equivalent▼aMCNP6 simulation▼aHyper-parameter optimization-
dc.subject인공신경망▼a스펙트럼-주위선량당량 환산▼a전자식 개인 선량계▼a주위선량당량▼aMCNP6 시뮬레이션▼a하이퍼파라미터 최적화-
dc.title$\gamma$ spectrum-dose conversion algorithm using artificial neural networks for spectroscopic EPD-
dc.title.alternative분광형 전자식 개인 선량계를 위한 인공신경망 기반의 감마스펙트럼-선량 변환 알고리즘 연구-
dc.typeThesis(Master)-
dc.identifier.CNRN325007-
dc.description.department한국과학기술원 :원자력및양자공학과,-
dc.contributor.alternativeauthor황지성-
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