journal article·2023-02-01Open access

Computationally Efficient Handling of Partially Coherent Electron Sources in (S)TEM Image Simulations via Matrix Diagonalization

Zhongbo Li, Harald Rose, Jacob Madsen, Johannes Biskupek, Toma Susi, Ute Kaiser

Microscopy and Microanalysis· Volume 29· Issue 1

Abstract

Abstract We introduce a novel method to improve the computational efficiency for (S)TEM image simulation by employing matrix diagonalization of the mixed envelope function (MEF). The MEF is derived by taking the finite size and the energy spread of the effective electron source into account, and is a component of the transmission cross-coefficient that accounts for the correlation between partially coherent waves. Since the MEF is a four-dimensional array and its application in image calculations is time-consuming, we reduce the computation time by using its eigenvectors. By incorporating the aperture function into the matrix diagonalization, only a small number of eigenvectors are required to approximate the original matrix with high accuracy. The diagonalization enables for each eigenvector the calculation of the corresponding image by employing the coherent model. The individual images are weighted by the corresponding eigenvalues and then summed up, resulting in the total partially coherent image.
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Research context

OpenAlex topics: Advanced Electron Microscopy Techniques and Applications · Electron and X-Ray Spectroscopy Techniques · Advanced X-ray Imaging Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Electron Microscopy Group of Materials Science, University of Ulm , Ulm 89081 , Germany

Faculty of Physics, University of Vienna , Vienna 1090 , Austria

Funding

H2020 European Research Council · Deutsche Forschungsgemeinschaft

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