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A Novel and High-Precision Method for Calculating the gamma-Ray Build-Up Factor for Multilayer Shields

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成果类型:
期刊论文
作者:
Li, Chao;Song, Yingming*;Zhang, Zehuan;Mao, Jie;Yuan, Weiwei;...
通讯作者:
Song, Yingming
作者机构:
[Wang, Bo; Li, Chao; Mao, Jie; Song, Yingming; Zhang, Zehuan] Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Hunan, Peoples R China.
[Song, Yingming] Univ South China, Natl Exemplary Base Int Sci & Technol Collaborat, Hengyang 421001, Hunan, Peoples R China.
[Yuan, Weiwei] Univ South China, Radon Prov Key Lab, Hengyang 421001, Hunan, Peoples R China.
通讯机构:
[Song, Yingming] U
Univ South China, Sch Nucl Sci & Technol, Hengyang 421001, Hunan, Peoples R China.
Univ South China, Natl Exemplary Base Int Sci & Technol Collaborat, Hengyang 421001, Hunan, Peoples R China.
语种:
英文
期刊:
Science and Technology of Nuclear Installations
ISSN:
1687-6075
年:
2021
卷:
2021
页码:
1-15
基金类别:
National Exemplary Base for International Science and Technology [2018SYS04]
机构署名:
本校为第一且通讯机构
院系归属:
核科学技术学院
摘要:
In the field of radiation protection, the point-kernel code method is a practical tool widely used in the calculation of 3-D radiation field, and the accuracy of the point-kernel integration method strongly depends on the accuracy of the build-up factor. It is well known that calculation of the build-up factor for single-layer shields is composed of single material, but it is very complicated to calculate the build-up factor for multilayer shields (MLBUF). Recently, a novel and high-precision method based on the deep neural network (DNN) for calculating MLBUF has been proposed. In this paper, ...

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