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PyFAI: a Python library for high performance azimuthal integration on GPU

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arxiv 1412.6367 v1 pith:FP5LFCP3 submitted 2014-12-19 astro-ph.IM cs.DCcs.MS

Jérôme Kieffer , Giannis Ashiotis This is my paper · ORCID
classification astro-ph.IMcs.DCcs.MS
keywords diffractionlibrarylikepackagepyfaiacceleratedacceleratorsalgorithm
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The pyFAI package has been designed to reduce X-ray diffraction images into powder diffraction curves to be further processed by scientists. This contribution describes how to convert an image into a radial profile using the Numpy package, how the process was accelerated using Cython. The algorithm was parallelised, needing a complete re-design to benefit from massively parallel devices like graphical processing units or accelerators like the Intel Xeon Phi using the PyOpenCL library.

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  1. Application of signal separation to diffraction image compression and serial crystallography

    cond-mat.mtrl-sci 2024-11 conditional novelty 6.0 of 10

    Iterative sigma-clipping in azimuthal rings separates amorphous background from Bragg peaks, enabling real-time lossy compression and peak-picking for serial crystallography.

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