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Title: An iterative reconstruction algorithm for pole figure inversion using total variation regularization

Abstract

This paper describes a new discrete method for inverting X-ray pole figures to estimate the orientation distribution function (ODF). The method employs the equal-volume `cubochoric' representation for uniform discretization of orientation space, SO(3). The forward-projection model is combined with an anisotropic total variation term to iteratively determine the ODF. Here, the efficacy of the new method is evaluated with both model and experimental data and compared with existing discrete and series expansion methods.

Authors:
 [1];  [2];  [3];  [3]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Argonne National Lab. (ANL), Lemont, IL (United States)
  3. Carnegie Mellon Univ., Pittsburgh, PA (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1575870
Report Number(s):
LLNL-JRNL-767546
Journal ID: ISSN 1600-5767; JACGAR; 957917
Grant/Contract Number:  
AC52-07NA27344
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Applied Crystallography (Online)
Additional Journal Information:
Journal Name: Journal of Applied Crystallography (Online); Journal Volume: 52; Journal Issue: 6; Journal ID: ISSN 1600-5767
Publisher:
International Union of Crystallography
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; pole figure inversion; orientation distribution function; total variation regularization; texture

Citation Formats

Singh, Saransh, Kc, Prabhat, Sridhar, Shivram Kashyap, and De Graef, Marc. An iterative reconstruction algorithm for pole figure inversion using total variation regularization. United States: N. p., 2019. Web. doi:10.1107/S1600576719013529.
Singh, Saransh, Kc, Prabhat, Sridhar, Shivram Kashyap, & De Graef, Marc. An iterative reconstruction algorithm for pole figure inversion using total variation regularization. United States. https://doi.org/10.1107/S1600576719013529
Singh, Saransh, Kc, Prabhat, Sridhar, Shivram Kashyap, and De Graef, Marc. Thu . "An iterative reconstruction algorithm for pole figure inversion using total variation regularization". United States. https://doi.org/10.1107/S1600576719013529. https://www.osti.gov/servlets/purl/1575870.
@article{osti_1575870,
title = {An iterative reconstruction algorithm for pole figure inversion using total variation regularization},
author = {Singh, Saransh and Kc, Prabhat and Sridhar, Shivram Kashyap and De Graef, Marc},
abstractNote = {This paper describes a new discrete method for inverting X-ray pole figures to estimate the orientation distribution function (ODF). The method employs the equal-volume `cubochoric' representation for uniform discretization of orientation space, SO(3). The forward-projection model is combined with an anisotropic total variation term to iteratively determine the ODF. Here, the efficacy of the new method is evaluated with both model and experimental data and compared with existing discrete and series expansion methods.},
doi = {10.1107/S1600576719013529},
journal = {Journal of Applied Crystallography (Online)},
number = 6,
volume = 52,
place = {United States},
year = {Thu Oct 31 00:00:00 EDT 2019},
month = {Thu Oct 31 00:00:00 EDT 2019}
}

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