分类： 物理学 >> 核物理学 提交时间： 2023-10-23
摘要： Monte Carlo simulations are frequently utilized in radiation dose assessments. However, many researchers find the prevailing computing platforms to be intricate. This highlights a pressing need for a specialized framework for phantom dose evaluation. To address this gap, we developed a user-friendly radiation dose assessment platform using the Monte Carlo toolkit, Geant4. The Tsinghua University Phantom Dose (THUDosePD) augments the flexibility of Monte Carlo simulations in dosimetric research. Originating from THUDose, a code with generic, functional, and application layers, THUDosePD focuses predominantly on anatomical phantom dose assessment. Additionally, it enables medical exposure simulation, intricate geometry creation, and supports both three-dimensional radiation dose analysis and phantom format transformations. The system operates on a multi-threaded parallel CPU architecture, with some modules enhanced for GPU parallel computing. Benchmark tests on the ICRP reference male illustrated the capabilities of THUDosePD in phantom dose assessment, covering the effective dose, three-dimensional dose distribution, and three-dimensional organ dose. We also conducted a voxelization conversion on the polygon mesh phantom, demonstrating the methods efficiency and consistency. Extended applications based on THUDosePD further underline its broad adaptability. This intuitive, three-dimensional platform stands out as a valuable tool for phantom radiation dosimetry research.
分类： 物理学 >> 核物理学 提交时间： 2023-06-18 合作期刊: 《Nuclear Science and Techniques》
摘要： In the process of neutron spectrum measurement using the multi-sphere neutron spectrometer, energy response functions and detector readings should be applied to neutron spectrum unfolding. Mathematically, there can be multiple solutions to this problem, but only one actual neutron spectrum exists. Compared with common numerical spectrum unfolding methods, genetic algorithms have the characteristics of global optimization and probabilistic search. Therefore, they are chosen to be the spectrum unfolding algorithms for the multi-sphere neutron spectrometer (MNS IL100) developed by Tsinghua University. Firstly, the detector and different size polyethylene spheres of MNS IL100 were modeled to calculate the energy response functions by applying Monte Carlo simulation. Then based on the physical and mathematical properties of the spectrum unfolding problem by using genetic algorithms, effective search space and proper fitness function were determined to improve the efficiency of search and iteration. The elitism replacement scheme was used to ensure convergence and the pseudo-parallel strategy was used to inhibit premature convergence. According to the algorithms mentioned above, a spectrum unfolding code was developed and tested with several typical neutron spectra. At last, MNS IL100 and the spectrum unfolding code were used in actual experiment of 252Cf neutron source spectrum measurement. The experimental result is in good agreement with the 252Cf standard neutron spectrum, verifying the effectiveness and practicality of using genetic algorithms to unfold the neutron spectrum with combination of several processing strategies.
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