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Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA

As synchrotron facilities continue to generate increasingly brilliant X-rays and detector speeds increase, swift data reduction from the collected area detector images to more workable 1D diffractograms becomes of increasing importance. This work reports an integration algorithm that can integrate d...

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Detalles Bibliográficos
Autores principales: Jensen, Alexander Bernthz, Christensen, Thorbjørn Erik Køppen, Weninger, Clemens, Birkedal, Henrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641557/
https://www.ncbi.nlm.nih.gov/pubmed/36345750
http://dx.doi.org/10.1107/S1600577522008232
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author Jensen, Alexander Bernthz
Christensen, Thorbjørn Erik Køppen
Weninger, Clemens
Birkedal, Henrik
author_facet Jensen, Alexander Bernthz
Christensen, Thorbjørn Erik Køppen
Weninger, Clemens
Birkedal, Henrik
author_sort Jensen, Alexander Bernthz
collection PubMed
description As synchrotron facilities continue to generate increasingly brilliant X-rays and detector speeds increase, swift data reduction from the collected area detector images to more workable 1D diffractograms becomes of increasing importance. This work reports an integration algorithm that can integrate diffractograms in real time on modern laptops and can reach 10 kHz integration speeds on modern workstations using an efficient pixel-splitting and parallelization scheme. This algorithm is limited not by the computation of the integration itself but is rather bottlenecked by the speed of the data transfer to the processor, the data decompression and/or the saving of results. The algorithm and its implementation is described while the performance is investigated on 2D scanning X-ray diffraction/fluorescence data collected at the interface between an implant and forming bone.
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spelling pubmed-96415572022-11-14 Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA Jensen, Alexander Bernthz Christensen, Thorbjørn Erik Køppen Weninger, Clemens Birkedal, Henrik J Synchrotron Radiat Research Papers As synchrotron facilities continue to generate increasingly brilliant X-rays and detector speeds increase, swift data reduction from the collected area detector images to more workable 1D diffractograms becomes of increasing importance. This work reports an integration algorithm that can integrate diffractograms in real time on modern laptops and can reach 10 kHz integration speeds on modern workstations using an efficient pixel-splitting and parallelization scheme. This algorithm is limited not by the computation of the integration itself but is rather bottlenecked by the speed of the data transfer to the processor, the data decompression and/or the saving of results. The algorithm and its implementation is described while the performance is investigated on 2D scanning X-ray diffraction/fluorescence data collected at the interface between an implant and forming bone. International Union of Crystallography 2022-10-04 /pmc/articles/PMC9641557/ /pubmed/36345750 http://dx.doi.org/10.1107/S1600577522008232 Text en © Alexander Bernthz Jensen et al. 2022 https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.
spellingShingle Research Papers
Jensen, Alexander Bernthz
Christensen, Thorbjørn Erik Køppen
Weninger, Clemens
Birkedal, Henrik
Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA
title Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA
title_full Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA
title_fullStr Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA
title_full_unstemmed Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA
title_short Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA
title_sort very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: matfraia
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641557/
https://www.ncbi.nlm.nih.gov/pubmed/36345750
http://dx.doi.org/10.1107/S1600577522008232
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