Abstract A new particle-transport code NECP-MCX has been developed by Nuclear Engineering Computational Physics (NECP) laboratory of Xi’an Jiaotong University. NECP-MCX is aimed at the simulation of deep-penetration problems, including reactor radiation-shielding calculation, fusion reactor blanket calculation, etc. These problems are challenging for the Monte Carlo (MC) method, which needs a huge number of particles to obtain reliable results. For the problems mentioned above, it is also challenging for the deterministic method to obtain results with high precision due to discretization errors. To overcome these challenges, NECP-MCX has been developed based on a hybrid Monte-Carlo-Deterministic method from scratch. The hybrid Monte-Carlo-Deterministic method utilizes the deterministic method to generate consistent mesh-based weight-window and source-biasing parameters for the MC method to reduce variance. The numerical results demonstrate that NECP-MCX is able to simulate deep-penetration problems with higher efficiency compared to the conventional MC codes.

中文翻译：

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NECP-MCX：用于模拟深穿透问题的混合蒙特卡罗确定性粒子传输代码

摘要 西安交通大学核工程计算物理实验室开发了一种新的粒子传输代码NECP-MCX。NECP-MCX 是针对深穿透问题的模拟，包括反应堆辐射屏蔽计算、聚变反应堆覆盖计算等。这些问题对于需要大量粒子才能获得的蒙特卡罗（MC）方法具有挑战性。可靠的结果。对于上述问题，由于离散化误差，确定性方法获得高精度结果也具有挑战性。为了克服这些挑战，NECP-MCX 基于混合蒙特卡罗确定性方法从头开始开发。混合蒙特卡罗确定性方法利用确定性方法为 MC 方法生成一致的基于网格的权重窗口和源偏置参数，以减少方差。数值结果表明，与传统的 MC 代码相比，NECP-MCX 能够以更高的效率模拟深度渗透问题。