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Influence of energy loss function to the Monte Carlo simulated electron backscattering coefficient
We report an improved calculation of the electron backscattering coefficients (BSCs) for beryllium, molybdenum and tungsten at electron energies of 0.1–100 keV based on an up-to-date Monte Carlo simulation method with different input of energy loss function (ELF) data. The electron inelastic cross-s...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616831/ https://www.ncbi.nlm.nih.gov/pubmed/36307500 http://dx.doi.org/10.1038/s41598-022-20466-3 |
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author | Chen, Haotian Zou, Yanbo Mao, Shifeng Khan, M. S. S. Tőkési, Károly Ding, Z. J. |
author_facet | Chen, Haotian Zou, Yanbo Mao, Shifeng Khan, M. S. S. Tőkési, Károly Ding, Z. J. |
author_sort | Chen, Haotian |
collection | PubMed |
description | We report an improved calculation of the electron backscattering coefficients (BSCs) for beryllium, molybdenum and tungsten at electron energies of 0.1–100 keV based on an up-to-date Monte Carlo simulation method with different input of energy loss function (ELF) data. The electron inelastic cross-section is derived from the relativistic dielectric functional formalism, where the full Penn’s algorithm is applied for the extension of the ELF from the optical limit of [Formula: see text] into the [Formula: see text] -plane. We have found that the accuracy of energy loss function may affect largely the calculated BSC. We also show that this has close relationship with the f- and ps-sum rules. |
format | Online Article Text |
id | pubmed-9616831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96168312022-10-30 Influence of energy loss function to the Monte Carlo simulated electron backscattering coefficient Chen, Haotian Zou, Yanbo Mao, Shifeng Khan, M. S. S. Tőkési, Károly Ding, Z. J. Sci Rep Article We report an improved calculation of the electron backscattering coefficients (BSCs) for beryllium, molybdenum and tungsten at electron energies of 0.1–100 keV based on an up-to-date Monte Carlo simulation method with different input of energy loss function (ELF) data. The electron inelastic cross-section is derived from the relativistic dielectric functional formalism, where the full Penn’s algorithm is applied for the extension of the ELF from the optical limit of [Formula: see text] into the [Formula: see text] -plane. We have found that the accuracy of energy loss function may affect largely the calculated BSC. We also show that this has close relationship with the f- and ps-sum rules. Nature Publishing Group UK 2022-10-28 /pmc/articles/PMC9616831/ /pubmed/36307500 http://dx.doi.org/10.1038/s41598-022-20466-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chen, Haotian Zou, Yanbo Mao, Shifeng Khan, M. S. S. Tőkési, Károly Ding, Z. J. Influence of energy loss function to the Monte Carlo simulated electron backscattering coefficient |
title | Influence of energy loss function to the Monte Carlo simulated electron backscattering coefficient |
title_full | Influence of energy loss function to the Monte Carlo simulated electron backscattering coefficient |
title_fullStr | Influence of energy loss function to the Monte Carlo simulated electron backscattering coefficient |
title_full_unstemmed | Influence of energy loss function to the Monte Carlo simulated electron backscattering coefficient |
title_short | Influence of energy loss function to the Monte Carlo simulated electron backscattering coefficient |
title_sort | influence of energy loss function to the monte carlo simulated electron backscattering coefficient |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616831/ https://www.ncbi.nlm.nih.gov/pubmed/36307500 http://dx.doi.org/10.1038/s41598-022-20466-3 |
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