| Issue |
EPJ Web Conf.
Volume 302, 2024
Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA + MC 2024)
|
|
|---|---|---|
| Article Number | 09004 | |
| Number of page(s) | 10 | |
| Section | Variance Reduction Techniques | |
| DOI | https://doi.org/10.1051/epjconf/202430209004 | |
| Published online | 15 October 2024 | |
https://doi.org/10.1051/epjconf/202430209004
The CADIS-DXTRAN method in NECP-MCX for Radiation Shielding Simulations
School of Nuclear Science and Technology, Xi’an Jiaotong University, Xi’an, China
* Corresponding author: qingming_he@xjtu.edu.cn
Published online: 15 October 2024
This paper discusses the implementation of the Consistent Adjoint-Driven Importance Sampling-Deterministic Transport (CADISDXTRAN) method in NECP-MCX to speed up Monte Carlo simulations for neutron radiation shielding applications. It provides a brief theoretical overview of the CADIS-DXTRAN method and describes the coding process in NECP-MCX. The study compares the performance of the CADIS-DXTRAN method with the CADIS method and the DXTRAN method in a labyrinth problem and a channel shielding problem. The results of the labyrinth problem reveal that the CADIS-DXTRAN method is highly efficient with a Figure of Merit (FOM) value 45 times that of DXTRAN and 17 times that of the CADIS method. While there is no significant improvement of the CADIS-DXTRAN method in the channel shielding problem. The particle behavior in the two problems is analyzed in detail to explain the performance of the CADIS-DXTRAN method.
© The Authors, published by EDP Sciences, 2024
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