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

Bidragets oversatte titel: Diffraktionsundersøgelser på en meget stor skala muliggjorte af en matrixmultiplikations faciliteret radiel og azimuthal integrationsalgoritme: MatFRAIA

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

^*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

18 Citationer (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.

Bidragets oversatte titel	Diffraktionsundersøgelser på en meget stor skala muliggjorte af en matrixmultiplikations faciliteret radiel og azimuthal integrationsalgoritme: MatFRAIA
Originalsprog	Engelsk
Tidsskrift	Journal of Synchrotron Radiation
Vol/bind	29
Nummer	Pt 6
Sider (fra-til)	1420-1428
Antal sider	9
ISSN	0909-0495
DOI	https://doi.org/10.1107/S1600577522008232
Status	Udgivet - nov. 2022

Emneord

Diffraktion
Integration
BIG DATA

Adgang til dokumentet

10.1107/S1600577522008232

Andre filer og links

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

18 Citationer
1 Ph.d.-afhandling
1 Tidsskriftartikel

Flexible design in the stomatopod dactyl club
Bidragets oversatte titel: Designvariation i KnælerrejekøllenChristensen, T. E. K., Chua, J. Q. I., Wittig, N. K., Jørgensen, M. R. V., Kantor, I., Thomsen, J. S., Miserez, A. & Birkedal, H., maj 2023, I: IUCrJ. 10, 3, s. 288-296 9 s.
Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

Åben adgang
3 Citationer (Scopus)
Imaging Insights on Club Crystallites and Osteoorientations
Christensen, T. E. K., 31 jan. 2023, (Afsendt) 362 s.
Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling

Citationsformater

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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",

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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.
I: Journal of Synchrotron Radiation, Bind 29, Nr. Pt 6, 11.2022, s. 1420-1428.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

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AU - Christensen, Thorbjørn Erik Køppen

AU - Weninger, Clemens

AU - Birkedal, Henrik

PY - 2022/11

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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

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ER -

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

Abstract

Emneord

Adgang til dokumentet

Andre filer og links

Fingeraftryk

Publikation

Flexible design in the stomatopod dactyl club

Imaging Insights on Club Crystallites and Osteoorientations

Citationsformater