Optimization progress of large-scale radiation shielding Monte Carlo simulation software based on AIS variance reduction technique system: MCShield
The development of novel nuclear facilities has brought safer and more efficient energy options but also poses significant challenges for radiation shielding calculations. MCShield, developed by the Radiation Protection and Environmental Protection Laboratory at Tsinghua University, is a Monte Carlo...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | EPJ Nuclear Sciences & Technologies |
| Online Access: | https://www.epj-n.org/articles/epjn/full_html/2025/01/epjn20240016/epjn20240016.html |
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| _version_ | 1832098370780397568 |
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| author | Wu Jiajun Wu Zhen Hu Ankang Hao Yisheng Pu Yanheng Zhang Hui Qiu Rui Li Junli |
| author_facet | Wu Jiajun Wu Zhen Hu Ankang Hao Yisheng Pu Yanheng Zhang Hui Qiu Rui Li Junli |
| author_sort | Wu Jiajun |
| collection | DOAJ |
| description | The development of novel nuclear facilities has brought safer and more efficient energy options but also poses significant challenges for radiation shielding calculations. MCShield, developed by the Radiation Protection and Environmental Protection Laboratory at Tsinghua University, is a Monte Carlo program designed for coupled neutron/photon/electron transport in radiation shielding calculations. It incorporates a system of variance reduction techniques based on Auto-Importance Sampling (AIS) to address the deep penetration problem commonly encountered in the field of radiation shielding. The accuracy and computational efficiency of MCShield have been validated through benchmark problems and real-world applications. However, the current AIS system faces limitations in complex scenarios, user-friendliness, and reliance on user experience. To address these issues, we optimized the size, shape, and energy parameters for the AIS variance reduction method, expanded the use of regular virtual surfaces, and introduced an irregular AIS virtual surface method. Additionally, we developed an automatic generation method for AIS virtual surfaces and implemented automatic calculation for these surfaces. AIS Energy Bias Method was proposed to improve convergence across different energy intervals. These improvements enhance the applicability and refinement of the AIS virtual surface parameters, significantly boosting the overall performance of MCShield. |
| format | Article |
| id | doaj-art-f1eeb8443b7046d0b93a01171e855854 |
| institution | Kabale University |
| issn | 2491-9292 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Nuclear Sciences & Technologies |
| spelling | doaj-art-f1eeb8443b7046d0b93a01171e8558542025-02-05T10:54:11ZengEDP SciencesEPJ Nuclear Sciences & Technologies2491-92922025-01-0111410.1051/epjn/2024032epjn20240016Optimization progress of large-scale radiation shielding Monte Carlo simulation software based on AIS variance reduction technique system: MCShieldWu Jiajun0Wu Zhen1Hu Ankang2Hao Yisheng3Pu Yanheng4Zhang Hui5Qiu Rui6https://orcid.org/0000-0002-3511-6164Li Junli7Department of Engineering Physics, Tsinghua UniversityDepartment of Engineering Physics, Tsinghua UniversityDepartment of Engineering Physics, Tsinghua UniversityDepartment of Engineering Physics, Tsinghua UniversityDepartment of Engineering Physics, Tsinghua UniversityDepartment of Engineering Physics, Tsinghua UniversityDepartment of Engineering Physics, Tsinghua UniversityDepartment of Engineering Physics, Tsinghua UniversityThe development of novel nuclear facilities has brought safer and more efficient energy options but also poses significant challenges for radiation shielding calculations. MCShield, developed by the Radiation Protection and Environmental Protection Laboratory at Tsinghua University, is a Monte Carlo program designed for coupled neutron/photon/electron transport in radiation shielding calculations. It incorporates a system of variance reduction techniques based on Auto-Importance Sampling (AIS) to address the deep penetration problem commonly encountered in the field of radiation shielding. The accuracy and computational efficiency of MCShield have been validated through benchmark problems and real-world applications. However, the current AIS system faces limitations in complex scenarios, user-friendliness, and reliance on user experience. To address these issues, we optimized the size, shape, and energy parameters for the AIS variance reduction method, expanded the use of regular virtual surfaces, and introduced an irregular AIS virtual surface method. Additionally, we developed an automatic generation method for AIS virtual surfaces and implemented automatic calculation for these surfaces. AIS Energy Bias Method was proposed to improve convergence across different energy intervals. These improvements enhance the applicability and refinement of the AIS virtual surface parameters, significantly boosting the overall performance of MCShield.https://www.epj-n.org/articles/epjn/full_html/2025/01/epjn20240016/epjn20240016.html |
| spellingShingle | Wu Jiajun Wu Zhen Hu Ankang Hao Yisheng Pu Yanheng Zhang Hui Qiu Rui Li Junli Optimization progress of large-scale radiation shielding Monte Carlo simulation software based on AIS variance reduction technique system: MCShield EPJ Nuclear Sciences & Technologies |
| title | Optimization progress of large-scale radiation shielding Monte Carlo simulation software based on AIS variance reduction technique system: MCShield |
| title_full | Optimization progress of large-scale radiation shielding Monte Carlo simulation software based on AIS variance reduction technique system: MCShield |
| title_fullStr | Optimization progress of large-scale radiation shielding Monte Carlo simulation software based on AIS variance reduction technique system: MCShield |
| title_full_unstemmed | Optimization progress of large-scale radiation shielding Monte Carlo simulation software based on AIS variance reduction technique system: MCShield |
| title_short | Optimization progress of large-scale radiation shielding Monte Carlo simulation software based on AIS variance reduction technique system: MCShield |
| title_sort | optimization progress of large scale radiation shielding monte carlo simulation software based on ais variance reduction technique system mcshield |
| url | https://www.epj-n.org/articles/epjn/full_html/2025/01/epjn20240016/epjn20240016.html |
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