论文标题
GEANT4的实施和验证(n,x)反应产生了详细评估的核反应库20 MEV
Implementation and validation of realistic (n,x) reaction yields in GEANT4 utilizing a detailed evaluated nuclear reaction library below 20 MeV
论文作者
论文摘要
中子引起的与带电颗粒发射的反应在从基本核物理学和核天体物理学到核技术到能源生产和材料科学的应用,在各种研究领域中起重要作用。最近,研究带有放射性靶标的反应的能力对于显着提高爆炸性核合成和核应用的研究变得很重要。为了实现宽阔的中子束能量范围内的相关研究目标和研究(N,X)反应,在Los Alamos中子科学中心(LANSCE)的低能量中子诱导的带电粒子(Z)腔室(LENZ)以及各种辅助仪器一起开发了以启用上述研究计划。对于(n,x)在低能量下的(n,x)反应,对发射带电颗粒的离散光谱进行精确模拟至关重要。此外,由于LANSCE是一个用户设施,因此可以通过用户轻松访问的模拟应用程序具有很高的价值。考虑到这些目标,我们使用Geant4工具包开发了详细的模拟。在这项工作中,我们使用LENZ Ingrement的最新广告系列中的实验数据介绍了模拟的实现和验证。具体而言,我们根据基于类似的MCNP工具对模拟进行基准测试,并确定所使用的概率偏置技术的现实范围。我们描述了具有角度分布和部分横截面数据的评估库的实现,并根据模拟光谱与实验性谱图的比较对应用程序进行验证,以实现先前实验活动中使用的许多目标。最后,我们讨论了所使用的仿真代码和技术的局限性,警告和资产。
Neutron-induced reactions with charged particle emission play an important role in a variety of research fields ranging from fundamental nuclear physics and nuclear astrophysics to applications of nuclear technologies to energy production and material science. Recently, the capability to study reactions with radioactive targets has become important to significantly advance research in explosive nucleosynthesis and nuclear applications. To achieve the relevant research goals and study (n,x) reactions over a broad neutron beam energy range, the Low Energy Neutron-induced charged-particle (Z) chamber (LENZ) at Los Alamos Neutron Science Center (LANSCE) was developed along with varied ancillary instrumentation to enable the aforementioned research program. For the (n,x) reactions of interest at low energies, a precise simulation of the discrete spectrum of emitted charged particles is essential. In addition, since LANSCE is a user facility, a simulation application that can be easily accessible by users has high value. With these goals in mind, we have developed a detailed simulation using the GEANT4 toolkit. In this work, we present the implementation and the validation of the simulation using experimental data from recent campaigns with the LENZ instrument. Specifically, we benchmark the simulation against a similar MCNP-based tool and determine the realistic range of applicability for the probability biasing technique used. We describe our implementation of an evaluated library with angular distribution and partial cross-section data, and we perform a validation of the application based on comparisons of simulated spectra with the experimental ones, for a number of targets used in previous experimental campaigns. Last, we discuss the limitations, caveats, and assets of the simulation code and techniques used.