论文标题
使用CGMF代码的裂变片段衰减模拟
Fission Fragment Decay Simulations with the CGMF Code
论文作者
论文摘要
CGMF代码实现了Hauser-Feshbach统计核反应模型,以遵循通过迅速中子和$γ$射线的连续排放来驱散裂变片段。 Monte Carlo技术用于促进对及时裂变观测值之间复杂分布和相关性的分析。从质量,电荷,动能,激发能,自旋和奇偶校验的裂变片段的初始配置开始,$ y(a,z,ke,ke,u,j,π)$,CGMF样品中子中子和$γ$ ray的概率分布在衰减过程的每个阶段,可以节省能量,自旋,自旋,自旋,自旋和帕尔。 RIPL文库中的核结构和反应输入数据用于描述裂变片段特性和衰减概率。可以始终研究迅速裂变中子,迅速裂变伽玛射线和独立裂变产率的特征。发射中子和$γ$射线之间的能量,角度和多重性的相关性很容易作为发射片段的函数分析。
The CGMF code implements the Hauser-Feshbach statistical nuclear reaction model to follow the de-excitation of fission fragments by successive emissions of prompt neutrons and $γ$ rays. The Monte Carlo technique is used to facilitate the analysis of complex distributions and correlations among the prompt fission observables. Starting from initial configurations for the fission fragments in mass, charge, kinetic energy, excitation energy, spin, and parity, $Y(A,Z,KE,U,J,π)$, CGMF samples neutron and $γ$-ray probability distributions at each stage of the decay process, conserving energy, spin and parity. Nuclear structure and reaction input data from the RIPL library are used to describe fission fragment properties and decay probabilities. Characteristics of prompt fission neutrons, prompt fission gamma rays, and independent fission yields can be studied consistently. Correlations in energy, angle and multiplicity among the emitted neutrons and $γ$ rays can be easily analyzed as a function of the emitting fragments.