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

Alexander Bernthz Jensen; Thorbjørn Erik Køppen Christensen; Clemens Weninger; Henrik Birkedal

doi:10.1107/S1600577522008232

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

Alexander Bernthz Jensen, Thorbjørn Erik Køppen Christensen, Clemens Weninger, Henrik Birkedal^*

^*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

19 Citations (Scopus)

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 performance is investigated on 2D scanning X-ray diffraction/fluorescence data collected at the interface between an implant and forming bone.

Translated title of the contribution	Diffraktionsundersøgelser på en meget stor skala muliggjorte af en matrixmultiplikations faciliteret radiel og azimuthal integrationsalgoritme: MatFRAIA
Original language	English
Journal	Journal of Synchrotron Radiation
Volume	29
Issue	Pt 6
Pages (from-to)	1420-1428
Number of pages	9
ISSN	0909-0495
DOIs	https://doi.org/10.1107/S1600577522008232
Publication status	Published - Nov 2022

Keywords

2D detectors
azimuthal integration algorithms
computer programs
data processing
data reduction
integration
scattering
Radiography
Algorithms
Synchrotrons
X-Ray Diffraction
X-Rays

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10.1107/S1600577522008232

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

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 performance is investigated on 2D scanning X-ray diffraction/fluorescence data collected at the interface between an implant and forming bone.",

keywords = "Diffraktion, Integration, BIG DATA, 2D detectors, azimuthal integration algorithms, computer programs, data processing, data reduction, integration, scattering, Radiography, Algorithms, Synchrotrons, X-Ray Diffraction, X-Rays",

author = "Jensen, {Alexander Bernthz} and Christensen, {Thorbj{\o}rn Erik K{\o}ppen} and Clemens Weninger and Henrik Birkedal",

year = "2022",

month = nov,

doi = "10.1107/S1600577522008232",

language = "English",

volume = "29",

pages = "1420--1428",

journal = "Journal of Synchrotron Radiation",

issn = "0909-0495",

publisher = "International Union of Crystallography",

number = "Pt 6",

}

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 et al.
In: Journal of Synchrotron Radiation, Vol. 29, No. Pt 6, 11.2022, p. 1420-1428.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

TY - JOUR

T1 - Very large-scale diffraction investigations enabled by a matrix-multiplication facilitated radial and azimuthal integration algorithm

T2 - MatFRAIA

AU - Jensen, Alexander Bernthz

AU - Christensen, Thorbjørn Erik Køppen

AU - Weninger, Clemens

AU - Birkedal, Henrik

PY - 2022/11

Y1 - 2022/11

N2 - 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.

AB - 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.

KW - Diffraktion

KW - Integration

KW - BIG DATA

KW - 2D detectors

KW - azimuthal integration algorithms

KW - computer programs

KW - data processing

KW - data reduction

KW - integration

KW - scattering

KW - Radiography

KW - Algorithms

KW - Synchrotrons

KW - X-Ray Diffraction

KW - X-Rays

UR - https://journals.iucr.org/s/issues/2022/06/00/fv5148/fv5148.pdf

U2 - 10.1107/S1600577522008232

DO - 10.1107/S1600577522008232

M3 - Journal article

C2 - 36345750

SN - 0909-0495

VL - 29

SP - 1420

EP - 1428

JO - Journal of Synchrotron Radiation

JF - Journal of Synchrotron Radiation

IS - Pt 6

ER -

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

Abstract

Keywords

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