Till Schertenleib, Daniel Schmuckler, Yucong Chen, Geng Bang Jin, Wendy L. Queen, Simon J. L. Billinge
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引用次数: 0
Abstract
Herein, data acquisition protocols are explored and data reduction protocols are improved using PDFgetX3 to obtain reliable data for atomic pair distribution function (PDF) analysis from a laboratory-based Mo Kα X-ray source. A variable counting scheme is described that preferentially counts in the high-angle region of the diffraction pattern. The effects on the resulting PDF are studied by varying the overall count time, the use of Soller slits, and limiting the out-of-plane divergence of the incident beam. The protocols are tested using an amorphous silica and a quartz sample. A Python script is presented that allows the comparison of PDFs obtained from different instruments and different acquisition protocols and does automatic uncertainty estimation and error propagation. A modification to the current PDFgetX3 data corrections to take care of sample absorption is also presented, which was previously neglected in the use of that program for high-energy synchrotron X-ray data.
本文利用PDFgetX3对数据采集协议进行了探索,并改进了数据约简协议,以获得实验室Mo k - α x射线源原子对分布函数(PDF)分析的可靠数据。描述了在衍射图样的高角区域优先计数的可变计数方案。通过改变总计数时间、使用索勒狭缝和限制入射光束的面外发散来研究对所得PDF的影响。使用无定形二氧化硅和石英样品对协议进行了测试。提出了一个Python脚本,允许比较从不同仪器和不同采集协议获得的pdf文件,并进行自动不确定性估计和误差传播。本文还提出了对现有PDFgetX3数据校正的修改,以考虑样品吸收,这在以前使用该程序用于高能同步加速器x射线数据时被忽略了。