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Comprehensive Recovery of Point Defect Displacement Field Function in Crystals by Computer X-ray Diffraction Microtomography
by
Konarev, Petr V.
, Chukhovskii, Felix N.
, Volkov, Vladimir V.
in
2D diffraction images
/ 3D function of the defect displacement field
/ Accuracy
/ Algorithms
/ Cauchy problems
/ Chi-square test
/ Coulomb-type point defect
/ Crystal defects
/ Crystal lattices
/ Diffraction
/ Diffraction patterns
/ Displacement
/ Figure of merit
/ Image contrast
/ Microtomography
/ Nelder–Mead minimization scheme
/ Noise levels
/ Optimization
/ Point defects
/ Radon
/ Takagi–Taupin equations
/ Wave diffraction
/ Wave propagation
/ X-ray diffraction
/ X-ray diffraction microtomography
/ X-rays
2024
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Comprehensive Recovery of Point Defect Displacement Field Function in Crystals by Computer X-ray Diffraction Microtomography
by
Konarev, Petr V.
, Chukhovskii, Felix N.
, Volkov, Vladimir V.
in
2D diffraction images
/ 3D function of the defect displacement field
/ Accuracy
/ Algorithms
/ Cauchy problems
/ Chi-square test
/ Coulomb-type point defect
/ Crystal defects
/ Crystal lattices
/ Diffraction
/ Diffraction patterns
/ Displacement
/ Figure of merit
/ Image contrast
/ Microtomography
/ Nelder–Mead minimization scheme
/ Noise levels
/ Optimization
/ Point defects
/ Radon
/ Takagi–Taupin equations
/ Wave diffraction
/ Wave propagation
/ X-ray diffraction
/ X-ray diffraction microtomography
/ X-rays
2024
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Comprehensive Recovery of Point Defect Displacement Field Function in Crystals by Computer X-ray Diffraction Microtomography
by
Konarev, Petr V.
, Chukhovskii, Felix N.
, Volkov, Vladimir V.
in
2D diffraction images
/ 3D function of the defect displacement field
/ Accuracy
/ Algorithms
/ Cauchy problems
/ Chi-square test
/ Coulomb-type point defect
/ Crystal defects
/ Crystal lattices
/ Diffraction
/ Diffraction patterns
/ Displacement
/ Figure of merit
/ Image contrast
/ Microtomography
/ Nelder–Mead minimization scheme
/ Noise levels
/ Optimization
/ Point defects
/ Radon
/ Takagi–Taupin equations
/ Wave diffraction
/ Wave propagation
/ X-ray diffraction
/ X-ray diffraction microtomography
/ X-rays
2024
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Comprehensive Recovery of Point Defect Displacement Field Function in Crystals by Computer X-ray Diffraction Microtomography
Journal Article
Comprehensive Recovery of Point Defect Displacement Field Function in Crystals by Computer X-ray Diffraction Microtomography
2024
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Overview
In the case of the point defect in a crystal, the inverse Radon’s problem in X-ray diffraction microtomography has been solved. As is known, the crystal-lattice defect displacement field function f(r) = h·u(r) determines phases − (±h)-structure factors incorporated into the Takagi–Taupin equations and provides the 2D image patterns by diffracted and transmitted waves propagating through a crystal (h is the diffraction vector and u(r) is the displacement field crystal-lattice-defects vector). Beyond the semi-kinematical approach for obtaining the analytical problem solution, the difference-equations-scheme of the Takagi–Taupin equations that, in turn, yield numerically controlled-accuracy problem solutions has been first applied and tested. Addressing the inverse Radon’s problem solution, the χ2-target function optimization method using the Nelder–Mead algorithm has been employed and tested in an example of recovering the Coulomb-type point defect structure in a crystal Si(111). As has been shown in the cases of the 2D noise-free fractional and integrated image patterns, based on the Takagi–Taupin solutions in the semi-kinematical and difference-scheme approaches, both procedures provide the χ2-target function global minimum, even if the starting-values of the point-defect vector P1 is chosen rather far away from the reference up to 40% in relative units. In the cases of the 2D Poisson-noise image patterns with noise levels up to 5%, the figures-of-merit values of the optimization procedures by the Nelder–Mead algorithm turn out to be high enough; the lucky trials number is 85%; and in contrast, for the statistically denoised 2D image patterns, they reach 0.1%.
Publisher
MDPI AG
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