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

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Τίτλος: Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA.
Συγγραφείς: Jensen, Alexander Bernthz, Christensen, Thorbjørn Erik Køppen, Weninger, Clemens, Birkedal, Henrik
Πηγή: Journal of Synchrotron Radiation; Nov2022, Vol. 29 Issue 6, p1420-1428, 9p
Θεματικοί όροι: Algorithms, Image converters, Data reduction, X-ray diffraction
Περίληψη: 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. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Synchrotron Radiation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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PubTypeId: academicJournal
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  Data: Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA.
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  Data: <searchLink fieldCode="AR" term="%22Jensen%2C+Alexander+Bernthz%22">Jensen, Alexander Bernthz</searchLink><br /><searchLink fieldCode="AR" term="%22Christensen%2C+Thorbjørn+Erik+Køppen%22">Christensen, Thorbjørn Erik Køppen</searchLink><br /><searchLink fieldCode="AR" term="%22Weninger%2C+Clemens%22">Weninger, Clemens</searchLink><br /><searchLink fieldCode="AR" term="%22Birkedal%2C+Henrik%22">Birkedal, Henrik</searchLink>
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  Data: Journal of Synchrotron Radiation; Nov2022, Vol. 29 Issue 6, p1420-1428, 9p
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  Data: <searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Image+converters%22">Image converters</searchLink><br /><searchLink fieldCode="DE" term="%22Data+reduction%22">Data reduction</searchLink><br /><searchLink fieldCode="DE" term="%22X-ray+diffraction%22">X-ray diffraction</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Synchrotron Radiation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1107/S1600577522008232
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        Text: English
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      – SubjectFull: Image converters
        Type: general
      – SubjectFull: Data reduction
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      – SubjectFull: X-ray diffraction
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      – TitleFull: Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm: MatFRAIA.
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            – D: 01
              M: 11
              Text: Nov2022
              Type: published
              Y: 2022
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