论文标题
通过geant4模拟中的限制平面生成粒子,以实现宇宙射线MUON断层扫描的潜在应用
Particle generation through restrictive planes in GEANT4 simulations for potential applications of cosmic ray muon tomography
论文作者
论文摘要
在这项研究中,通过试图解决Geant4模拟中MUON断层扫描应用过程中粒子生成过程中的角并发症,我们表现出一种非常规的方法,该方法通过从生成位置到限制区域而不是使用某个角度分布或间隔或间隔或间隔或间隔进行了矢量构造的方向限制。换句话说,我们偏爱一个动量方向,该方向由在生成点/平面上随机选择的初始点和后一个点之间构建的向量确定,而后一个点在相同维度的限制性平面上任意选择,并与利益量的基础横截面(VOI)一起选择。由于阐明了这样的生成方案,我们通过保持角度差异直接取决于VOI几何形状以及限制性平面的垂直位置来优化粒子损失,以用于有限大小的层析成像系统。我们展示了我们的一组目标材料的策略,包括铝,铜,铁,铅和铀,尺寸为40美元$ \ times $ 10 $ \ times $ 40 $ \ rm cm cm^{3} $在三个不同位置的限制性平面上,通过使用0.1和8 gev之间的离散能量频谱和8 gev和8 GEV之间的差异和8 griptive shorting Arty Antervent Antervect,我们会在不同位置进行分散角度的差异,并吸收散布的粒子,并差异数量。根据我们的仿真结果,我们表明,通过限制平面生成粒子是一种有效的策略,可以灵活地朝着Geant4模拟中的各种计算目标。
In this study, by attempting to resolve the angular complication during the particle generation for the muon tomography applications in the GEANT4 simulations, we exhibit an unconventional methodology that is hinged on the direction limitation via the vectorial construction from the generation location to the restriction area rather than using a certain angular distribution or interval. In other words, we favor a momentum direction that is determined by a vector constructed between an initial point randomly chosen on a generative point/plane and a latter point arbitrarily selected on a restrictive plane of the same dimensions with the basal cross section of the volume-of-interest (VOI). On account of setting out such a generation scheme, we optimize the particle loss by keeping an angular disparity that is directly dependent on the VOI geometry as well as the vertical position of the restrictive plane for a tomographic system of a finite size. We demonstrate our strategy for a set of target materials including aluminum, copper, iron, lead, and uranium with a dimension of 40$\times$10$\times$40 $\rm cm^{3}$ over three restrictive planes of different positions by using a discrete energy spectrum between 0.1 and 8 GeV and we compute the scattering angle, the number of absorption, and the particle loss. Upon our simulation outcomes, we show that the particle generation by means of restrictive planes is an effective strategy that is flexible towards a variety of computational objectives in the GEANT4 simulations.