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首页> 外文期刊>Applied radiation and isotopes: including data, instrumentation and methods for use in agriculture, industry and medicine >Implementation of the elemental library stratified sampling technique on the GUI-based Monte Carlo library least squares (MCLLS) approach for EDXRF analysis
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Implementation of the elemental library stratified sampling technique on the GUI-based Monte Carlo library least squares (MCLLS) approach for EDXRF analysis

机译:在基于GUI的Monte Carlo库最小二乘法(MCLLS)上进行EDXRF分析的元素库分层采样技术的实现

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摘要

The Monte Carlo-based Energy Dispersive X-ray Fluorescence (MCXRF) elemental analyzer approach can be used to accurately calculate elemental weight fractions in rock formations or metal alloys, by least-squares regression of the measured X-ray spectrum with computer-generated elemental library spectra. The analog sampling scheme in a Monte Carlo simulation cannot generate satisfactory results for trace elements due to their low sampling probability. A stratified sampling variance-reduction technique is proposed and implemented to enable each element in the measured sample to have equal opportunity of being sampled with adjusted weights. Essentially, all computed elemental libraries have good statistical precision and improve the accuracy of the elemental analysis results.
机译:基于蒙特卡洛的能量色散X射线荧光(MCXRF)元素分析仪方法可通过使用计算机生成的元素分析仪对测量的X射线光谱进行最小二乘回归来准确计算岩石地层或金属合金中的元素重量分数库谱。蒙特卡洛模拟中的模拟采样方案由于痕量元素的低采样率而无法产生令人满意的结果。提出并实施了分层抽样方差减少技术,以使被测样品中的每个元素都具有通过调整权重进行采样的平等机会。本质上,所有计算的元素库均具有良好的统计精度,并提高了元素分析结果的准确性。

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