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https://doi.org/10.3938/NPSM.69.1027
Comparative Study of Monte Carlo Simulation Codes for Performance Evaluation of Radiation Shielding Devices
New Phys.: Sae Mulli 2019; 69: 1027~1032
Published online October 31, 2019;  https://doi.org/10.3938/NPSM.69.1027
© 2019 New Physics: Sae Mulli.

Dong-Hee HAN1, Jong-Hun WON1, Man-Seok HAN2, Cheol-Ha BAEK*2, Yoon-Ho KIM3

1Department of Health Medical Science, Graduate School, Kangwon National University, Samcheok 25949, Korea
2Department of Radiological Science, Kangwon National University, Samcheok 25949, Korea
3Division of Chemical and Medical Metrology, Korea Research Institute of Standards and Science, Daejeon 34113, Korea
Correspondence to: baekch100@gmail.com
Received August 3, 2019; Revised August 29, 2019; Accepted August 29, 2019.
cc This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The purpose of this study is to evaluate the reliability of the Monte Carlo simulation programs GATE and MCNP6 for simulating the performance of radiation shielding devices. Medical diagnostic tube voltages of 70, 90, 110, and 130 kVp were used for a comparative analysis of the shielding rates for the devices on the market. As a result of the simulations, we obtained a maximum error of 2.81% for a tube voltage of 70 kVp and and a lead(Pb) the closes of 0.25 mm, Pb, and a minimum error of 0.04% for a those voltage of 110 kVp and 0.35 mm. The average error was 1.05%, which is small enough to confirm that the graphs from the two programs were quite similar considering the statistical error and code differences. Hence, we conclude that the GATE and the MCNP6 programs show consistent results and can be safely employed as simulation tools for radiation shielding devices.
PACS numbers: 24.10.Lx, 32.30.Rj
Keywords: Radiation shielding devices, Monte Carlo simulation, Shielding rate, Scientific verification


October 2019, 69 (10)
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