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Smart pile-up consideration for evaluation of high count rate EDS spectra

机译:智能堆积考虑因素用于评估高计数率EDS光谱

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This work describes a new pile-up consideration for the very high count rate spectra which are possible to acquire with silicon drift detector (SDD) technology. Pile-up effects are the major and still remaining challenge with the use of SDD for EDS in scanning electron microscopes (SEM) with ultra thin windows for soft X-ray detection. The ability to increase the count rates up to a factor of 100 compared with conventional Si(Li) detectors, comes with the problem that the pile-up recognition (pile-up rejection) in pulse processors is not able to improve by the same order of magnitude, just only with a factor of about 3. Therefore, it is common that spectra will show significant pile-up effects if count rates of more than 10000 counts per second (10 kcps) are used. These false counts affect both automatic qualitative analysis and quantitative evaluation of the spectra. The new idea is to use additional inputs for pile-up calculation to shift the applicability towards very high count rates of up to 200 kcps and more, which can be easily acquired with the SDD. The additional input is the 'known' (estimated) background distribution, calculated iteratively during all automated qualitative or quantitative evaluations. This additional knowledge gives the opportunity for self adjustment of the pile-up calculation parameters and avoids over-corrections which challenge the evaluation as well as the pile-up artefacts themselves. With the proposed method the pile-up correction is no longer a 'correction' but an integral part of all spectra evaluation steps. Examples for the application are given with evaluation of very high count rate spectra.
机译:这项工作描述了非常高的计数率频谱的新的堆积考虑因素,这可以通过硅漂移检测器(SDD)技术获得。在具有超薄窗口以进行软X射线检测的扫描电子显微镜(SEM)中,将SDD用于EDS的SDD而言,堆积效应是主要的挑战,仍然是挑战。与传统的Si(Li)检测器相比,将计数率提高到100倍的能力带来的问题是,脉冲处理器中的堆积识别(堆积拒绝)无法以相同的顺序提高仅使用大约3的倍数即可。因此,如果使用的计数速率超过10000个计数/秒(10 kcps),则频谱通常会显示出明显的堆积效应。这些错误的计数会影响光谱的自动定性分析和定量评估。新的想法是使用额外的输入进行堆积计算,以将适用性转移到高达200 kcps或更高的很高计数率,这可以通过SDD轻松获得。额外的输入是在所有自动定性或定量评估过程中反复计算的“已知”(估计)背景分布。这些额外的知识为堆积计算参数的自我调整提供了机会,并避免了对评估以及堆积工件本身提出挑战的过度校正。利用所提出的方法,堆积校正不再是“校正”,而是所有光谱评估步骤的组成部分。给出了应用示例,并评估了非常高的计数率光谱。

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