基于Monte Carlo的Fission过程Toy模型
Monte Carlo Based Toy Model for Fission Process
摘要：
裂变产额的计算有两种方法，宏观方法和微观方法。本文将提出另一种将原子核作为玩具模型的计算方法。裂变产额的玩具模型是一种初步的以随机数为计算基础的方法。由于原子核只是一个玩具模型，因此裂变过程并不完全代表自然界中真实的裂变过程。裂变事件由一个随机数模拟。该数被假定为裂变过程开始时复合核中核子位置分布概率的宽度。玩具模型由随机数的高斯分布形成，随机化粒子与中心点之间的距离。分裂过程是从复合核中心点粉碎成左中心点和右中心点开始的。这三个点具有不同的高斯分布参数，例如均值（μCN，μL，μR）和标准差（σCN，σL，σR）。通过三个分布的叠加，得到被中心点捕获的粒子数（NL，NR）。重复这个过程，直到（NL，NR）变成常数。产额由与质量数比例成比例的核分布比例确定。通过随机改变σL和σR，重复粉碎过程
英文摘要：
Fission yield has been calculated notoriously by two calculations approach, macroscopic approach and microscopic approach. This work will proposes another calculation approach which the nucleus is treated as a toy model. The toy model of fission yield is a preliminary method that use random number as a backbone of the calculation. Because of nucleus as a toy model hence the fission process does not represent real fission process in nature completely. Fission event is modeled by one random number. The number is assumed as width of distribution probability of nucleon position in compound nuclei when fission process is started. The toy model is formed by Gaussian distribution of random number that randomizes distance like between particle and central point. The scission process is started by smashing compound nucleus central point into two parts that are left central and right central points. These three points have different Gaussian distribution parameters such as mean (μCN, μL, μR), and standard deviation (σCN, σL ,σR). By overlaying of three distributions, the number of particles ( NL, NR) that they are trapped by central points is obtained. This process is iterated until ( NL, NR) become constant numbers. The yield is determined from portion of nuclei distribution which is proportional with portion of mass numbers. Smashing process is repeated by changing σL and σR randomly
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
