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Monte Carlo simulation based toy model for fission process

机译:基于蒙特卡罗模拟的裂变过程玩具模型

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Nuclear fission has been modeled notoriously using two approaches method, macroscopic and microscopic. This work will propose another approach, where the nucleus is treated as a toy model. The aim is to see the usefulness of particle distribution in fission yield calculation. Inasmuch nucleus is a toy, then the Fission Toy Model (FTM) does not represent real process in nature completely. The fission event in FTM is represented by one random number. The number is assumed as width of distribution probability of nucleon position in compound nuclei when fission process is started. By adopting the nucleon density approximation, the Gaussian distribution is chosen as particle distribution. This distribution function generates random number that randomizes distance between particles and a central point. The scission process is started by smashing compound nucleus central point into two parts that are left central and right central points. The yield is determined from portion of nuclei distribution which is proportional with portion of mass numbers. By using modified FTM, characteristic of particle distribution in each fission event could be formed before fission process. These characteristics could be used to make prediction about real nucleons interaction in fission process. The results of FTM calculation give information that the gamma value seems as energy.
机译:众所周知,核裂变是使用宏观和微观两种方法建模的。这项工作将提出另一种方法,其中将原子核视为玩具模型。目的是了解粒子分布在裂变产率计算中的有用性。由于原子核是一个玩具,因此裂变玩具模型(FTM)不能完全代表自然界中的真实过程。 FTM中的裂变事件由一个随机数表示。该数字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。通过采用核子密度近似,选择高斯分布作为粒子分布。该分布函数生成随机数,该随机数使粒子和中心点之间的距离随机化。分裂过程是通过将复合核中心点粉碎成两个部分(左中心点和右中心点)开始的。从核分布的一部分确定产率,该部分与质量数的一部分成比例。通过使用改进的FTM,可以在裂变过程之前形成每个裂变事件中颗粒分布的特征。这些特性可以用来预测裂变过程中真实核子相互作用。 FTM计算的结果表明,伽马值看起来像是能量。

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