Dimmock Matthew Richard, de Jonge Martin Daly, Howard Daryl Lloyd, James Simon Alexander, Kirkham Robin, Paganin David Maurice, Paterson David John, Ruben Gary, Ryan Chris Gregory, Brown Jeremy Michael Cooney
Department of Medical Imaging and Radiation Sciences, Monash University, Clayton, VIC 3800, Australia.
Australian Synchrotron, 800 Blackburn Road, Clayton, VIC 3168, Australia.
J Synchrotron Radiat. 2015 Mar;22(2):354-65. doi: 10.1107/S1600577515000223. Epub 2015 Feb 14.
A Geant4 Monte Carlo simulation of the X-ray fluorescence microprobe (XFM) end-station at the Australian Synchrotron has been developed. The simulation is required for optimization of the scan configuration and reconstruction algorithms. As part of the simulation process, a Gaussian beam model was developed. Experimental validation of this simulation has tested the efficacy for use of the low-energy physics models in Geant4 for this synchrotron-based technique. The observed spectral distributions calculated in the 384 pixel Maia detector, positioned in the standard back-scatter configuration, were compared with those obtained from experiments performed at three incident X-ray beam energies: 18.5, 11.0 and 6.8 keV. The reduced χ-squared (\chi^{2}{\rm{red}}) was calculated for the scatter and fluorescence regions of the spectra and demonstrates that the simulations successfully reproduce the scatter distributions. Discrepancies were shown to occur in the multiple-scatter tail of the Compton continuum. The model was shown to be particularly sensitive to the impurities present in the beryllium window of the Maia detector and their concentrations were optimized to improve the \chi^{2}{\rm{red}} parametrization in the low-energy fluorescence regions of the spectra.
已开发出澳大利亚同步加速器X射线荧光微探针(XFM)终端站的Geant4蒙特卡罗模拟。该模拟对于优化扫描配置和重建算法是必需的。作为模拟过程的一部分,开发了高斯束模型。此模拟的实验验证测试了Geant4中低能物理模型在这种基于同步加速器的技术中的有效性。将位于标准背散射配置中的384像素Maia探测器计算出的观测光谱分布与在三种入射X射线束能量(18.5、11.0和6.8 keV)下进行的实验获得的光谱分布进行了比较。针对光谱的散射和荧光区域计算了约化χ平方((\chi^{2}{\rm{red}})),结果表明模拟成功再现了散射分布。在康普顿连续谱的多重散射尾部出现了差异。该模型对Maia探测器铍窗中存在的杂质特别敏感,对其浓度进行了优化,以改善光谱低能荧光区域的(\chi^{2}{\rm{red}})参数化。