A Novel and High-Precision Method for Calculating the γ-Ray Build-Up Factor for Multilayer Shields
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 buil...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Science and Technology of Nuclear Installations |
| Online Access: | http://dx.doi.org/10.1155/2021/8860762 |
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| author | Chao Li Yingming Song Zehuan Zhang Jie Mao Weiwei Yuan Bo Wang |
| author_facet | Chao Li Yingming Song Zehuan Zhang Jie Mao Weiwei Yuan Bo Wang |
| author_sort | Chao Li |
| collection | DOAJ |
| description | 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, the novel method is described completely by slab models. Through the study of photon transport in multilayer shields, the parameters that mainly affect the calculation of build-up factor are analyzed. These parameters are trained by DNN as the input vectors, and the build-up factor for multilayer shields is predicted based on the trained DNN. The results predicted by DNN confirm that the method can calculate the build-up factor for multilayer shields quickly and accurately. The method has been preliminarily applicated into a 3-D radiation field calculation software, and it has proved that the method for calculating MLBUF has a broad application prospects in 3-D radiation field calculation. |
| format | Article |
| id | doaj-art-a4b68b2d18294b52b917f887c02c42f7 |
| institution | Kabale University |
| issn | 1687-6075 1687-6083 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Science and Technology of Nuclear Installations |
| spelling | doaj-art-a4b68b2d18294b52b917f887c02c42f72025-08-20T03:38:14ZengWileyScience and Technology of Nuclear Installations1687-60751687-60832021-01-01202110.1155/2021/88607628860762A Novel and High-Precision Method for Calculating the γ-Ray Build-Up Factor for Multilayer ShieldsChao Li0Yingming Song1Zehuan Zhang2Jie Mao3Weiwei Yuan4Bo Wang5School of Nuclear Science and Technology, University of South China, Hengyang, Hunan 421001, ChinaSchool of Nuclear Science and Technology, University of South China, Hengyang, Hunan 421001, ChinaSchool of Nuclear Science and Technology, University of South China, Hengyang, Hunan 421001, ChinaSchool of Nuclear Science and Technology, University of South China, Hengyang, Hunan 421001, ChinaRadon Provincial Key Laboratory, University of South China, Hengyang, Hunan 421001, ChinaSchool of Nuclear Science and Technology, University of South China, Hengyang, Hunan 421001, ChinaIn 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, the novel method is described completely by slab models. Through the study of photon transport in multilayer shields, the parameters that mainly affect the calculation of build-up factor are analyzed. These parameters are trained by DNN as the input vectors, and the build-up factor for multilayer shields is predicted based on the trained DNN. The results predicted by DNN confirm that the method can calculate the build-up factor for multilayer shields quickly and accurately. The method has been preliminarily applicated into a 3-D radiation field calculation software, and it has proved that the method for calculating MLBUF has a broad application prospects in 3-D radiation field calculation.http://dx.doi.org/10.1155/2021/8860762 |
| spellingShingle | Chao Li Yingming Song Zehuan Zhang Jie Mao Weiwei Yuan Bo Wang A Novel and High-Precision Method for Calculating the γ-Ray Build-Up Factor for Multilayer Shields Science and Technology of Nuclear Installations |
| title | A Novel and High-Precision Method for Calculating the γ-Ray Build-Up Factor for Multilayer Shields |
| title_full | A Novel and High-Precision Method for Calculating the γ-Ray Build-Up Factor for Multilayer Shields |
| title_fullStr | A Novel and High-Precision Method for Calculating the γ-Ray Build-Up Factor for Multilayer Shields |
| title_full_unstemmed | A Novel and High-Precision Method for Calculating the γ-Ray Build-Up Factor for Multilayer Shields |
| title_short | A Novel and High-Precision Method for Calculating the γ-Ray Build-Up Factor for Multilayer Shields |
| title_sort | novel and high precision method for calculating the γ ray build up factor for multilayer shields |
| url | http://dx.doi.org/10.1155/2021/8860762 |
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