快速Monte Carlo衰变链Generator的随机与解析相结合
Combining Stochastics and Analytics for a Fast Monte Carlo Decay Chain Generator
摘要：
由小团体开发或广泛使用的各种蒙特卡罗程序已被用于计算放射性链衰变的影响，从最初的母核到最终的稳定同位素。这些链包括铀、钍、氡和其他元素，并且通常具有长寿命的母核。在这些链中生成衰变需要一定量的计算开销，这些开销与模拟不必要的衰变、对后处理中的最终结果进行时间排序或两者有关。我们提出了一个组合分析/随机算法，用于创建一个时间有序的位置和时间相关性的衰变集，并从一个任意的源年龄。因此，仿真成本大大降低，同时避免了按时间顺序的后处理。我们讨论的方法，以尽量减少计算时间内的优化方法。
英文摘要：
Various Monte Carlo programs, developed either by small groups or widely available, have been used to calculate the effects of decays of radioactive chains, from the original parent nucleus to the final stable isotopes. These chains include uranium, thorium, radon, and others, and generally have long-lived parent nuclei. Generating decays within these chains requires a certain amount of computing overhead related to simulating unnecessary decays, time-ordering the final results in post-processing, or both. We present a combination analytic/stochastic algorithm for creating a time-ordered set of decays with position and time correlations, and starting with an arbitrary source age. Thus the simulation costs are greatly reduced, while at the same time avoiding chronological post-processing. We discuss optimization methods within the approach to minimize calculation time.
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