Abstract The present study introduced a novel approach based on the improved combinatorial geometry (ICG) topology for photon transport in codes with Monte Carlo methods such as MCNP, GEANT4, and OpenMC. It has been proposed that the ICG model can significantly optimize the particle-tracking process which results in a highly reduced computation time. The comparison with the results of conventional codes such as MCNP was used to demonstrate the improvement in computational speed. The results showed that ICG calculations considerably reduce the computational time, especially when increasing the number of defined surfaces. Additionally, the number of collisions had an important role in the result of the computation time so that the time of computations improved by an average of 17.8 times in high surface problems by increasing the number of photon collisions. Finally, the efficiency of this method in the geometry with second-degree surfaces was greater compared to first-degree surfaces.

中文翻译：

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一种基于改进组合几何 (ICG) 模型的蒙特卡罗码光子传输新方法

摘要 本研究介绍了一种基于改进组合几何 (ICG) 拓扑的新方法，用于使用蒙特卡罗方法（如 MCNP、GEANT4 和 OpenMC）在代码中进行光子传输。有人提出，ICG 模型可以显着优化粒子跟踪过程，从而大大减少计算时间。通过与MCNP等常规代码结果的比较来证明计算速度的提高。结果表明，ICG 计算大大减少了计算时间，尤其是在增加定义表面的数量时。此外，碰撞次数对计算时间的结果有重要影响，因此计算时间平均提高了 17 次。通过增加光子碰撞次数，在高表面问题中提高 8 倍。最后，与一级曲面相比，这种方法在二级曲面几何中的效率更高。