| Issue |
EPJ Web Conf.
Volume 302, 2024
Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA + MC 2024)
|
|
|---|---|---|
| Article Number | 04005 | |
| Number of page(s) | 6 | |
| Section | Monte-Carlo Transport Codes: Algorithms, HPC & GPU | |
| DOI | https://doi.org/10.1051/epjconf/202430204005 | |
| Published online | 15 October 2024 | |
https://doi.org/10.1051/epjconf/202430204005
Improving Computational Efficiency in Monte Carlo Simulation for Radiation Portal Monitor
1 Dept. of Applied Plasma and Quantum Beam Engineering, Jeonbuk National University, 54896, Jeonju, Republic of Korea
2 Dept. of Quantum System Engineering, Jeonbuk National University, 54896, Jeonju, Republic of Korea
Published online: 15 October 2024
At the border and airports, a radiation portal monitor (RPM) system has been installed and is operated to detect illegal radioactive materials in cargo containers. To evaluate the RPM's performance and determine the optimized alarm criteria in various conditions, the Monte Carlo simulation technique is considered essential; however, the calculation efficiency has to be improved when we are dealing with complex geometries and a wide range of source term (e.g., a few hundred meters in diameter). In the present study, the applicability of the various techniques to improve calculation efficiency was evaluated. For example, as a simple but highly effective way, a simple box was used to surround the complex geometry of the RPM, resulting in 1.75 times of improvement in the calculation efficiency. Additionally, when the simple box and Surface Source Write and Read (SSW/SSR) techniques were combined, the computational efficiency increased by 374 times. These results could significantly enhance the calculation efficiency of the Monte Carlo simulation, not only for the RPM but also for other radiation detectors in radiation transport applications.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.