Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm : MatFRAIA
(2022) In Journal of Synchrotron Radiation 29. p.1420-1428- Abstract
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... (More)
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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- author
- Jensen, Alexander Bernthz ; Christensen, Thorbjørn Erik Køppen ; Weninger, Clemens LU and Birkedal, Henrik
- organization
- publishing date
- 2022-11-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- 2D detectors, azimuthal integration algorithms, computer programs, data processing, data reduction, integration, scattering
- in
- Journal of Synchrotron Radiation
- volume
- 29
- pages
- 9 pages
- publisher
- International Union of Crystallography
- external identifiers
-
- pmid:36345750
- scopus:85141893866
- ISSN
- 1600-5775
- DOI
- 10.1107/S1600577522008232
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: open access.
- id
- 96a48763-af4e-4e11-b3ab-5f8c33632ebd
- date added to LUP
- 2022-12-29 12:55:55
- date last changed
- 2024-04-18 17:24:07
@article{96a48763-af4e-4e11-b3ab-5f8c33632ebd,
abstract = {{<p>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.</p>}},
author = {{Jensen, Alexander Bernthz and Christensen, Thorbjørn Erik Køppen and Weninger, Clemens and Birkedal, Henrik}},
issn = {{1600-5775}},
keywords = {{2D detectors; azimuthal integration algorithms; computer programs; data processing; data reduction; integration; scattering}},
language = {{eng}},
month = {{11}},
pages = {{1420--1428}},
publisher = {{International Union of Crystallography}},
series = {{Journal of Synchrotron Radiation}},
title = {{Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm : MatFRAIA}},
url = {{http://dx.doi.org/10.1107/S1600577522008232}},
doi = {{10.1107/S1600577522008232}},
volume = {{29}},
year = {{2022}},
}