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Automatic calibration of powder diffraction experiments using two-dimensional detectors

Published online by Cambridge University Press:  01 March 2012

P. Rajiv ,
B. Hinrichsen ,
R. Dinnebier ,
M. Jansen  and
M. Joswig
P. Rajiv
Affiliation:
Max Planck Institute for Solid State Research, Heisenbergstraße 1, 70569 Stuttgart, Germany
B. Hinrichsen
Affiliation:
Max Planck Institute for Solid State Research, Heisenbergstraße 1, 70569 Stuttgart, Germany
R. Dinnebier
Affiliation:
Max Planck Institute for Solid State Research, Heisenbergstraße 1, 70569 Stuttgart, Germany
M. Jansen
Affiliation:
Max Planck Institute for Solid State Research, Heisenbergstraße 1, 70569 Stuttgart, Germany
M. Joswig
Affiliation:
Institute for Geophysics, Stuttgart University, Azenbergstraße 16, 70174 Stuttgart, Germany
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Abstract

Calibration of powder diffraction experiments using area detectors is essential to extract high quality one-dimensional powder diffraction pattern. Precise calibration necessitates a sensible characterization of the Debye-Scherrer rings formed on the detector plane. An algorithm, designed and developed to automate this process, is described in this paper. All the parameters required for an experimental calibration are extracted using robust pattern recognition techniques. Several image preprocessing methods are employed, reducing the computational cost but retaining high signal quality. A modified version of a one-dimensional Hough transformation is used to determine the final parameters of the ellipses. After extraction, the parameters are optimized using nonlinear least squares fit. The presented algorithm is insensitive to image artefacts and was successfully applied to a large number of calibration images. The performance of the algorithm is demonstrated by the comparison of results obtained from the presented automatic calibration method and an existing manual method.

Keywords

calibrationellipse detectionHough transformationpowder diffractionarea detectors
Type
Technical Articles
Information
Powder Diffraction , Volume 22 , Issue 1 , March 2007 , pp. 3 - 19
Copyright
Copyright © Cambridge University Press 2007

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