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Automated Reconstruction of Spherical Kikuchi Maps

Published online by Cambridge University Press:  31 May 2019

Chaoyi Zhu
Affiliation:
Materials Science and Engineering Program, University of CA San Diego, La Jolla, CA 92093, USA
Kevin Kaufmann
Affiliation:
Department of NanoEngineering, University of California San Diego, La Jolla, CA 92093, USA
Kenneth Vecchio*
Affiliation:
Materials Science and Engineering Program, University of CA San Diego, La Jolla, CA 92093, USA Department of NanoEngineering, University of California San Diego, La Jolla, CA 92093, USA
*
*Author for correspondence: Kenneth Vecchio, E-mail: [email protected]
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Abstract

An automated approach to fully reconstruct spherical Kikuchi maps from experimentally collected electron backscatter diffraction patterns and overlay each pattern onto its corresponding position on a simulated Kikuchi sphere is presented in this study. This work demonstrates the feasibility of warping any Kikuchi pattern onto its corresponding location of a simulated Kikuchi sphere and reconstructing a spherical Kikuchi map of a known phase based on any set of experimental patterns. This method consists of the following steps after pattern collection: (1) pattern selection based on multiple threshold values; (2) extraction of multiple scan parameters and phase information; (3) generation of a kinematically simulated Kikuchi sphere as the “skeleton” of the spherical Kikuchi map; and (4) overlaying the inverse gnomonic projection of multiple selected patterns after appropriate pattern center calibration and refinement. The proposed method is the first automated approach to reconstructing spherical Kikuchi maps from experimental Kikuchi patterns. It potentially enables more accurate orientation calculation, new pattern center refinement methods, improved dictionary-based pattern matching, and phase identification in the future.

Type
Software and Instrumentation
Copyright
Copyright © Microscopy Society of America 2019 

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