A fundamental imaging problem in microstructural analysis of metals is the reconstruction of local crystallographic orientations from X-ray diffraction measurements. This work deals
with the computation of the 3D orientation distribution function for individual grains of the material
in consideration. We present an iterative large-scale algorithm that uses preconditioned regularizing
CGLS iterations with a stopping criterion based on the information available in the residual vectors.
|Series||D T U Compute. Technical Report|
Hansen, P. C., Sørensen, H. O.
, Sükösd, Z., & Poulsen, H. F.
(2008). Reconstruction of Single-Grain Orientation Distribution Functions for Crystalline Materials
. Techincal University of Denmark, Informatics, Building 321. D T U Compute. Technical Report, No. 2008-05