Montecarlo Application on Nucleon Dynamics in Calculating Fission Yield at 14 MeV Neutron Energy

Rizal Kurniadi
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Abstract

Nuclear data is a completeness that must be present in every activity related to nuclear technology. So high is the role of nuclear data, it is necessary to have very complete nuclear data. The need for nuclear data is not in line with the resulting experimental products. The amount of experimental data needs to be completed. This is because the operational costs for these experiments are costly. Thus, theoretical modeling calculations are inevitably the right choice to replace experimental results. Many theoretical models have been developed to obtain satisfactory results. They were starting from microscopic models to macroscopic models. A common obstacle is that microscopic models must be simplified and efficient to produce massive nuclear data. Meanwhile, the constraints on the macroscopic model could be more accurate. This paper will present a calculation that tries to produce accurate but uncomplicated and economical data. This technique uses the basic principles of random numbers and classical nucleon dynamics in the nucleus. At the end of the paper, the results of calculations are presented, which are very accurate and, at the same time, show the dynamics of the nucleons that occur.
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蒙特卡洛核子动力学在计算 14 MeV 中子能裂变产率中的应用
核数据是与核技术有关的每项活动都必须具备的完整性。核数据的作用如此之大,因此必须拥有非常完整的核数据。对核数据的需求与由此产生的实验产品并不一致。实验数据的数量需要完成。这是因为这些实验的运行成本很高。因此,理论模型计算必然是替代实验结果的正确选择。为了获得令人满意的结果,人们开发了许多理论模型。它们从微观模型开始,一直到宏观模型。一个共同的障碍是,微观模型必须简化和高效,以产生大量核数据。同时,宏观模型的约束条件可以更加精确。本文将介绍一种计算方法,试图得出精确但不复杂且经济的数据。这项技术使用了随机数的基本原理和核内经典核子动力学。本文最后将介绍计算结果,这些结果非常准确,同时还显示了核子的动态变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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