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research-article

APPLICATION OF MONTE-CARLO SIMULATION TO DESIGN OF SAMPLER AND DETECTOR IN RADIATION MONITORING SYSTEM

[+] Author and Article Information
Kei Sugihara

Toshiba Corporation, 1, Toshiba-Cho, Fuchu-Shi, Tokyo 183-8511, Japan
kei.sugihara@toshiba.co.jp

Hirotaka Sakai

Toshiba Corporation, 1, Toshiba-Cho, Fuchu-Shi, Tokyo 183-8511, Japan
hirotaka.sakai@toshiba.co.jp

Kanako Hattori

Toshiba Corporation, 1, Toshiba-Cho, Fuchu-Shi, Tokyo 183-8511, Japan
kanako.hattori@toshiba.co.jp

Genki Tanaka

Toshiba Corporation, 8 Shinsugita-Cho, Isogo-Ku, Yokohama-Shi, Kanagawa 235-8522, Japan
genki1.tanaka@toshiba.co.jp

Mitsunobu Hayashi

Toshiba Corporation, 8 Shinsugita-Cho, Isogo-Ku Yokohama-Shi, Kanagawa 235-8522, Japan
mitsunobu.hayashi@toshiba.co.jp

Toshiaki Ito

Toshiba Corporation, 8 Shinsugita-Cho, Isogo-Ku Yokohama-Shi, Kanagawa 235-8522, Japan
toshiaki17.ito@glb.toshiba.co.jp

Naotaka Oda

Toshiba Corporation, 8 Shinsugita-Cho, Isogo-Ku Yokohama-Shi, Kanagawa 235-8522, Japan
naotaka.oda@toshiba.co.jp

1Corresponding author.

ASME doi:10.1115/1.4039968 History: Received October 26, 2017; Revised March 30, 2018

Abstract

In this study, the applicability of Monte-Carlo code PHITS(1) to the equipment design of sampler and detector in the radiation monitoring system was evaluated by comparing calculation results with experimental results obtained by actual measurements of radioactive materials. In modeling a simulation configuration, reproducing the energy distribution of beta-ray emitted from specific nuclide by means of Fermi Function was performed as well as geometric arrangement of the detector in the sampler volume. The reproducing and geometric arrangement proved that the calculation results are in excellent matching with actual experimental results. Moreover, reproducing the Gaussian energy distribution to the radiation energy deposition was performed according to experimental results obtained by the multi-channel analyzer. Through the modeling and the Monte-Carlo simulation, key parameters for equipment design were identified and evaluated. Based on the results, it was confirmed that the Monte-Carlo simulation is capable of supporting the evaluation of the equipment design.

Copyright (c) 2018 by ASME
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