Data reduction procedure for correction of geometrical factors in the analysis of specular x-ray reflectivity of small samples
Arijeet Das, Shreyashkar Dev Singh, R. J. Choudhari, S. K. Rai and, Tapas Ganguli

TL;DR
This paper presents a new self-consistent data reduction procedure to correct geometrical factors in X-ray reflectivity measurements of small samples, improving accuracy by determining spill over angles through comparative profiling.
Contribution
A novel, validated method for correcting geometrical effects in small sample XRR analysis that overcomes limitations of previous approaches.
Findings
The spill over angle can be accurately determined using a surface contact knife edge.
The proposed method is self-consistent and validated through experiments.
It improves the correction of geometrical factors in small sample XRR analysis.
Abstract
For small samples, the modification of the XRR profile by the geometrical factors manifesting due to profile and size of the beam and the size of the sample is significant. Geometrical factors extend till spill over angle which is often greater than critical angle for small samples. To separate the geometrical factor, it is necessary to know the spill over angle. Since geometrical factor is a smoothly varying function and extends beyond critical angle, it is impossible to determine the spill over angle from XRR profile of small samples. We have shown by comparing the normal XRR profile of a small sample with the XRR profile taken with a surface contact knife edge on the same sample, that the spill over angle can be determined. Thus we have developed a procedure for data reduction for small samples and validated it with suitable experiments. Unlike hitherto used methods which have…
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Taxonomy
TopicsAdvanced X-ray Imaging Techniques · X-ray Spectroscopy and Fluorescence Analysis · X-ray Diffraction in Crystallography
