首页> 外文期刊>Nuclear Instruments & Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment >ROSI―an object-oriented and parallel-computing Monte Carlo simulation for X-ray imaging
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ROSI―an object-oriented and parallel-computing Monte Carlo simulation for X-ray imaging

机译:ROSI-用于X射线成像的面向对象和并行计算的蒙特卡洛模拟

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In the field of X-ray imaging, Monte Carlo simulation is an important tool. It gives the possibility of understanding experimental results and it allows the construction of virtual imaging setups with predictions of their quality. For these reasons, we developed the Roentgen Simulation (ROSI) which is based on the object-oriented C + + class library GISMO. The interaction algorithms are based on the established EGS4-code and its current LSCAT-extension. ROSI introduces random variables for modelling physical parameters by a given random distribution, e.g. the source position or the direction and energy of the photons to be emitted. It is possible to run ROSI in parallel on a local computer network (Beowulf cluster) to obtain simulation data in shorter time. Finally, it has an easy-to-use interface. We will present the concept of ROSI and demonstrate its flexibility by an example.
机译:在X射线成像领域,蒙特卡洛模拟是重要的工具。它提供了理解实验结果的可能性,并允许构建虚拟成像设置并预测其质量。由于这些原因,我们开发了基于面向对象的C ++类库GISMO的Roentgen Simulation(ROSI)。交互算法基于已建立的EGS4码及其当前的LSCAT扩展。 ROSI引入了随机变量,用于通过给定的随机分布(例如,源位置或要发射的光子的方向和能量。可以在本地计算机网络(Beowulf群集)上并行运行ROSI,以在更短的时间内获得仿真数据。最后,它具有易于使用的界面。我们将通过示例展示ROSI的概念并展示其灵活性。

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