Extension of a nuclear reaction calculation code CCONE toward higher incident energies — multiple preequilibrium emission, and spectrum in laboratory system
Extension of a nuclear reaction calculation code CCONE toward higher incident energies — multiple preequilibrium emission, and spectrum in laboratory system
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核反应计算代码 CCONE 向更高入射能量的扩展 — 多重预平衡发射和实验室系统中的光谱
DOI：
10.1080/00223131.2013.773168
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发表时间：
2013
影响因子：
1.2
通讯作者：
O. Iwamoto
中科院分区：
文献类型：
--
作者：
O. Iwamoto
对为JENDL/AC-2008和JENDL-4核数据评估而开发的核反应计算程序CCONE进行了升级，以提高核子入射能量高于20 MeV时计算截面的预测精度。在双组分激子模型的框架下，通过对所有激子态的序列衰变计算，实现了从预平衡反应过程开始的多粒子发射，其中包括核子和复杂粒子，直至α粒子.考虑到粒子发射核的速度变化对预平衡和复合过程中多次发射的影响，这是不包括在以前的评估中，在实验室系统中使用平均速度近似每个复合/复合核获得光谱。计算的核子发射光谱在核子入射能量从20到200 MeV的质子和中子引起的反应27铝的实验和评估数据进行了比较。计算结果与实验数据吻合较好。结果发现，他们的预测优于JENDL/HE-2007，特别是在低发射能量在高入射能量。
A nuclear reaction calculation code CCONE, which was developed for nuclear data evaluation for JENDL/AC-2008 and JENDL-4, has been upgraded to improve the prediction accuracy for calculated cross sections at nucleon incident energies higher than 20 MeV. Multiple particle emission, in which nucleons and complex particles up to α-particle are involved, from pre-equilibrium reaction process was implemented based on the sequential-decay calculations for all produced exciton states within the framework of the two-component exciton model. The effect of velocity-change of particle-emitting nuclei on the multiple emission in preequilibrium and compound processes, which was not included in the previous evaluations, was taken into account to obtain spectra in the laboratory system using an average velocity approximation for each composite/compound nucleus. Calculated nucleon emission spectra at nucleon incident energies from 20 to 200 MeV were compared with experimental and evaluated data for the proton- and neutron-induced reactions on 27Al. The present results are in good agreement with experimental data. It was found that their predictions were better than those of JENDL/HE-2007 especially for low emission energies at high incident energies.
影响因子：
1.2
作者：
N. Iwamoto
通讯作者：
N. Iwamoto