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Very large-scale di...
Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm : MatFRAIA
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- Jensen, Alexander Bernthz (författare)
- Aarhus University
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- Christensen, Thorbjørn Erik Køppen (författare)
- Aarhus University,University of the Chinese Academy of Sciences
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- Weninger, Clemens (författare)
- Lund University,Lunds universitet,MAX IV-laboratoriet,MAX IV Laboratory
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- Birkedal, Henrik (författare)
- Aarhus University
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(creator_code:org_t)
- 2022
- 2022
- Engelska 9 s.
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Ingår i: Journal of Synchrotron Radiation. - 1600-5775. ; 29, s. 1420-1428
- Relaterad länk:
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http://dx.doi.org/10... (free)
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Engineering (hsv//eng)
Nyckelord
- 2D detectors
- azimuthal integration algorithms
- computer programs
- data processing
- data reduction
- integration
- scattering
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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