首页> 外文期刊>Spectrochimica Acta, Part B. Atomic Spectroscopy >A general Monte Carlo simulation of energy-dispersive X-ray fluorescence spectrometers. Part 3. Polarized polychromatic radiation, homogeneous samples
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A general Monte Carlo simulation of energy-dispersive X-ray fluorescence spectrometers. Part 3. Polarized polychromatic radiation, homogeneous samples

机译:能量色散X射线荧光光谱仪的一般Monte Carlo模拟。第3部分。偏振多色辐射,均质样品

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摘要

A general Monte Carlo (MC) code, capable of simulating photon-matter interactions in the energy range of 1-80 keV, has been adapted to model the behavior of synchrotron radiation X-ray fluorescence (SR-XRF) spectrometers using polarized, polychromaticradiation as means of excitation. A brief description of the simulation method specific for polychromatic excitation is presented for homogeneous, multielement samples. The code has been verified by comparing calculated spectral distributions of samplesof various nature with experimentally collected data, taken at the bending magnet source based X26A SR-XRF beamline installed at the National Synchrotron Light Source (NSLS) Simulated results, have also been compared with previously developed analyticalcalculations. Applications of the program in the field of quantitative analysis of biological and glass materials are presented and the use of the software to study the influence of the changes in the excitation-detection geometry on the predicted spectral distributions is demonstrated. Depending on the thickness and nsatrix type of the samples, the average deviations of the predicted fluorescent line and scatter background intensities relative to the experimentally obtained values are in the 3-12% range for homogeneous samples.
机译:通用的蒙特卡罗(MC)代码能够模拟1-80 keV能量范围内的光子与物质的相互作用,已被改编为使用偏振多色辐射的同步辐射X射线荧光(SR-XRF)光谱仪的行为建模作为激励手段。对于均质的多元素样本,提供了专门针对多色激发的仿真方法的简要说明。该代码已通过将计算得到的各种性质的样品的光谱分布与实验收集的数据进行比较而得到验证,该数据是在安装在国家同步加速器光源(NSLS)上的基于弯曲磁体源的X26A SR-XRF光束线上拍摄的。模拟结果也已与以前进行了比较进行了分析计算。介绍了该程序在生物和玻璃材料定量分析领域中的应用,并证明了该软件用于研究激发检测几何形状变化对预测光谱分布的影响。根据样品的厚度和nsatrix类型,对于均匀样品,预测的荧光线和散射背景强度相对于实验获得的值的平均偏差在3-12%的范围内。

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