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ID 114292
Title Alternative
FEASIBILITY STUDY ON THE FUSION OF PHITS SIMULATIONS AND THE DLNN ALGORITHM
Author
Inoue, K. Tokyo Metropolitan University
Fukushi, M. Tokyo Metropolitan University
Imajyo, Y. Advanced Fusion Technology
Fukuhara, T. Advanced Fusion Technology
Matsuura, M. CLEAR-PULSE
Yajima, T. Advanced Fusion Technology
Endo, M. Advanced Fusion Technology
Fujisawa, M. Tokyo Metropolitan University
Matsumoto-Kawaguchi, E. Tokushima University
Content Type
Journal Article
Description
We have recently have developed an in-situ multiple-channel depth distribution spectrometer (DDS) that can easily acquire on-site measurements of the depth distribution of specific radioactivities of Cs-134 and Cs-137 underground. Despite considerable improvements in the hardware developed for this device, the quantitative method for determining of radioactivities with this DDS device cannot yet achieve satisfactory performance for practical use. For example, this method cannot discriminate each γ-ray spectra of Cs-134 and Cs-137 acquired by the 20 thallium-doped caesium iodine CsI(Tl) scintillation crystal detectors of the DDS device from corresponding depth levels of underground soil. Therefore, we have applied deep learning neural network (DLNN) as a novel radiation measurement technique to discriminate the spectra and to determine the specific radioactivities of Cs-134 and Cs-137. We have developed model soil layers on a virtual space in Monte-Carlo based PHITS simulations and transported γ-ray radiation generated from a particular single soil layer or multiple layers as radiation sources; next, we performed PHITS calculations of those specific radioactivity measurements for each soil layer using DDS device based on machine learning via the DLNN algorithm. In this study, we obtained informative results regarding the feasibility of the proposal innovative radiation measurement method for further practical use in on-site applications.
Journal Title
Radiation Protection Dosimetry
ISSN
01448420
17423406
NCID
AA10627673
AA12105817
Publisher
Oxford University Press
Volume
184
Issue
3-4
Start Page
328
End Page
333
Published Date
2019-04-30
Remark
This is a pre-copyedited, author-produced version of an article accepted for publication in Radiation Protection Dosimetry following peer review. The version of record Volume 184, Issue 3-4, October 2019, Pages 328–333 is available online at: https://doi.org/10.1093/rpd/ncz093.
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language
eng
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departments
Medical Sciences