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基于GEANT4的中高能重离子诱发反应次级中子双微分截面及角分布研究

Study of Secondary Neutron Double Differential Cross Sections and Angular Distributions for Medium and High Energy Heavy Ion Induced Reactions Using GEANT4

  • 摘要: 重离子诱发反应的次级中子双微分截面及角分布对重离子驱动的惯性约束聚变和高能量密度物理研究具有重要意义。重离子种类众多,相关实验数据缺乏,需要使用可靠的物理模型进行计算。利用GEANT4程序,结合BIC、G4QMD及包含SLy4、SIII和SkM*核相互作用势参数的LIQMD模型,对400 MeV/u的84Kr和132Xe与Al, Cu, Pb靶相互作用在5°~80°范围内不同出射角度的次级中子双微分截面和角分布进行了计算。通过与实验数据的对比分析发现,对于双微分截面,BIC模型在大角度上高能部分的模拟结果与实验值存在显著差异;G4QMD模型对Al, Cu, Pb靶的模拟结果与实验值较为一致;LIQMD模型不同核相互作用势参数的计算结果基本一致。对于角分布,BIC模型在80°出射方向的模拟结果对Al靶和Cu靶的实验值有所低估,对Pb靶的实验值有所高估;G4QMD与LIQMD模型的模拟结果都能较好地重现实验数据。

     

    Abstract: The secondary neutron double differential cross sections and angular distributions from heavy ion induced reactions are crucial for heavy ion beam driven inertial confinement fusion and high energy density physics. Given the wide variety of heavy ion species and the insufficiency of relevant experimental data, reliable physical models are required for accurate calculations. The neutron double differential cross sections and angular distributions of 400 MeV/u 84Kr and 132Xe projectiles interacting with Al, Cu, and Pb targets at different emission angles from 5° to 80° were calculated using GEANT4 code coupled with the BIC, G4QMD and LIQMD models, which include the SLy4, SIII and SkM* nuclear interaction potential parameters. Comparison of the calculated results with the experimental data reveals that, for the double differential cross section, the BIC model exhibited significant discrepancies with experimental data in the high energy part of the spectrum at large angles, while the results of the G4QMD model for Al, Cu, and Pb targets are in relatively good agreement with the experimental data. The calculation results of the LIQMD model with different nuclear interaction potential parameters are essentially consistent. For the angular distribution, the BIC model underestimates the experimental data at 80° for Al and Cu targets but overestimates the data for Pb targets. Both the G4QMD and LIQMD models provide a good reproduction of the experimental data.

     

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