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Conference paper

Sparse data structures in 3DXRD

From

Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark1

Department of Applied Mathematics and Computer Science, Technical University of Denmark2

Neutrons and X-rays for Materials Physics, Department of Physics, Technical University of Denmark3

Department of Physics, Technical University of Denmark4

In 3D X-ray diffraction tomography (3DXRD) of polycrystals, the spatial and the orientational distribution of crystal grains are numerically reconstructed from the observed diffraction spots and rings. The high dimensionality of the solution space poses a significant computational challenge. In this talk I will present a sparsity-promoting mathematical framework for the 3DXRD and show supporting numerical results.

Language: English
Year: 2014
Proceedings: Sparse Tomo Days
Types: Conference paper
ORCIDs: Karamehmedović, Mirza

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