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Secondary Fluorescence of 3D Heterogeneous Materials Using a Hybrid Model

Published online by Cambridge University Press:  27 May 2020

Yu Yuan Open the ORCID record for Yu Yuan [Opens in a new window] ,
Hendrix Demers ,
Xianglong Wang  and
Raynald Gauvin
Yu Yuan
Affiliation:
Department of Mining and Materials Engineering, McGill University, M.H. Wong Building, 3610 Rue University, Montreal, Quebec, CanadaH3A 0C5
Hendrix Demers
Affiliation:
Centre d'excellence en électrification des transports et stockage d’énergie, IREQ, 1800 Boulevard Lionel-Boulet, Varennes, Québec, CanadaJ3X 1S1
Xianglong Wang
Affiliation:
Department of Mining and Materials Engineering, McGill University, M.H. Wong Building, 3610 Rue University, Montreal, Quebec, CanadaH3A 0C5
Raynald Gauvin*
Affiliation:
Department of Mining and Materials Engineering, McGill University, M.H. Wong Building, 3610 Rue University, Montreal, Quebec, CanadaH3A 0C5
*
*Author for correspondence: Raynald Gauvin, E-mail: raynald.gauvin@mcgill.ca
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Abstract

In electron probe microanalysis or scanning electron microscopy, the Monte Carlo method is widely used for modeling electron transport within specimens and calculating X-ray spectra. For an accurate simulation, the calculation of secondary fluorescence (SF) is necessary, especially for samples with complex geometries. In this study, we developed a program, using a hybrid model that combines the Monte Carlo simulation with an analytical model, to perform SF correction for three-dimensional (3D) heterogeneous materials. The Monte Carlo simulation is performed using MC X-ray, a Monte Carlo program, to obtain the 3D primary X-ray distribution, which becomes the input of the analytical model. The voxel-based calculation of MC X-ray enables the model to be applicable to arbitrary samples. We demonstrate the derivation of the analytical model in detail and present the 3D X-ray distributions for both primary and secondary fluorescence to illustrate the capability of our program. Examples for non-diffusion couples and spherical inclusions inside matrices are shown. The results of our program are compared with experimental data from references and with results from other Monte Carlo codes. They are found to be in good agreement.

Keywords

3D heterogeneous materials3D X-ray distributionMonte Carlosecondary fluorescence
Type
Software and Instrumentation
Information
Microscopy and Microanalysis , Volume 26 , Issue 3 , June 2020 , pp. 484 - 496
Copyright
Copyright © Microscopy Society of America 2020

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