High Resolution Orientation Distribution Function

Søren Schmidt; Nicolai Fog Gade-Nielsen; Martin Høstergaard; Bernd Dammann; Ivan G. Kazantsev

doi:10.4028/www.scientific.net/MSF.702-703.536

High Resolution Orientation Distribution Function

Søren Schmidt, Nicolai Fog Gade-Nielsen, Martin Høstergaard, Bernd Dammann, Ivan G. Kazantsev

RAS - Institute of Computational Mathematics and Mathematical Geophysics

Research output: Contribution to journal › Conference article › Research › peer-review

Abstract

A new method for reconstructing a High Resolution Orientation Distribution Function (HRODF) from X-ray diffraction data is presented. It is shown that the method is capable of accommodating very localized features, e.g. sharp peaks from recrystallized grains on a background of a texture component from the deformed material. The underlying mathematical formalism supports all crystallographic space groups and reduces the problem to solving a (large) set of linear equations. An implementation on multi-core CPUs and Graphical Processing Units (GPUs) is discussed along with an example on simulated data.

Original language	English
Journal	Materials Science Forum
Volume	702-703
Pages (from-to)	536-539
ISSN	0255-5476
DOIs	https://doi.org/10.4028/www.scientific.net/MSF.702-703.536
Publication status	Published - 2012
Event	16th International Conference on Textures of Materials - Mumbai, India Duration: 12 Dec 2011 → 17 Dec 2011 Conference number: 16

Conference

Conference	16th International Conference on Textures of Materials
Number	16
Country/Territory	India
City	Mumbai
Period	12/12/2011 → 17/12/2011

Keywords

ODF
inverse problems
High resolution
x-ray

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10.4028/www.scientific.net/MSF.702-703.536

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title = "High Resolution Orientation Distribution Function",

abstract = "A new method for reconstructing a High Resolution Orientation Distribution Function (HRODF) from X-ray diffraction data is presented. It is shown that the method is capable of accommodating very localized features, e.g. sharp peaks from recrystallized grains on a background of a texture component from the deformed material. The underlying mathematical formalism supports all crystallographic space groups and reduces the problem to solving a (large) set of linear equations. An implementation on multi-core CPUs and Graphical Processing Units (GPUs) is discussed along with an example on simulated data.",

keywords = "ODF, inverse problems, High resolution, x-ray",

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TY - GEN

T1 - High Resolution Orientation Distribution Function

AU - Schmidt, Søren

AU - Gade-Nielsen, Nicolai Fog

AU - Høstergaard, Martin

AU - Dammann, Bernd

AU - Kazantsev, Ivan G.

N1 - Conference code: 16

PY - 2012

Y1 - 2012

N2 - A new method for reconstructing a High Resolution Orientation Distribution Function (HRODF) from X-ray diffraction data is presented. It is shown that the method is capable of accommodating very localized features, e.g. sharp peaks from recrystallized grains on a background of a texture component from the deformed material. The underlying mathematical formalism supports all crystallographic space groups and reduces the problem to solving a (large) set of linear equations. An implementation on multi-core CPUs and Graphical Processing Units (GPUs) is discussed along with an example on simulated data.

AB - A new method for reconstructing a High Resolution Orientation Distribution Function (HRODF) from X-ray diffraction data is presented. It is shown that the method is capable of accommodating very localized features, e.g. sharp peaks from recrystallized grains on a background of a texture component from the deformed material. The underlying mathematical formalism supports all crystallographic space groups and reduces the problem to solving a (large) set of linear equations. An implementation on multi-core CPUs and Graphical Processing Units (GPUs) is discussed along with an example on simulated data.

KW - ODF

KW - inverse problems

KW - High resolution

KW - x-ray

U2 - 10.4028/www.scientific.net/MSF.702-703.536

DO - 10.4028/www.scientific.net/MSF.702-703.536

M3 - Conference article

SN - 0255-5476

VL - 702-703

SP - 536

EP - 539

JO - Materials Science Forum

JF - Materials Science Forum

T2 - 16th International Conference on Textures of Materials

Y2 - 12 December 2011 through 17 December 2011

ER -

High Resolution Orientation Distribution Function

Abstract

Conference

Keywords

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