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Bayesian Determination of Parameters for Plasma-Wall Interactions

Within the Bayesian framework a non-intrusive uncertainty quantification is performed to assess the uncertainty of ion–solid interaction simulations. For this we employ a reduced-order spectral expansion approach which is capable of confining the number of model runs to a feasible size. Moreover, th...

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Detalles Bibliográficos
Autores principales: Preuss, Roland, Arredondo, Rodrigo, von Toussaint, Udo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514520/
http://dx.doi.org/10.3390/e21121175
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author Preuss, Roland
Arredondo, Rodrigo
von Toussaint, Udo
author_facet Preuss, Roland
Arredondo, Rodrigo
von Toussaint, Udo
author_sort Preuss, Roland
collection PubMed
description Within the Bayesian framework a non-intrusive uncertainty quantification is performed to assess the uncertainty of ion–solid interaction simulations. For this we employ a reduced-order spectral expansion approach which is capable of confining the number of model runs to a feasible size. Moreover, the method facilitates sensitivity examinations regarding to input parameters of the model. It is applied to the ion–solid simulation program SDTrimSP with several uncertain but normally distributed input parameters, i.e., impact angle [Formula: see text] , projectile energy [Formula: see text] , and surface binding energy [Formula: see text]. Consequently, the otherwise hardly accessible model parameter [Formula: see text] can be estimated in combination with recently acquired experimental data.
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spelling pubmed-75145202020-11-09 Bayesian Determination of Parameters for Plasma-Wall Interactions Preuss, Roland Arredondo, Rodrigo von Toussaint, Udo Entropy (Basel) Article Within the Bayesian framework a non-intrusive uncertainty quantification is performed to assess the uncertainty of ion–solid interaction simulations. For this we employ a reduced-order spectral expansion approach which is capable of confining the number of model runs to a feasible size. Moreover, the method facilitates sensitivity examinations regarding to input parameters of the model. It is applied to the ion–solid simulation program SDTrimSP with several uncertain but normally distributed input parameters, i.e., impact angle [Formula: see text] , projectile energy [Formula: see text] , and surface binding energy [Formula: see text]. Consequently, the otherwise hardly accessible model parameter [Formula: see text] can be estimated in combination with recently acquired experimental data. MDPI 2019-11-29 /pmc/articles/PMC7514520/ http://dx.doi.org/10.3390/e21121175 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Preuss, Roland
Arredondo, Rodrigo
von Toussaint, Udo
Bayesian Determination of Parameters for Plasma-Wall Interactions
title Bayesian Determination of Parameters for Plasma-Wall Interactions
title_full Bayesian Determination of Parameters for Plasma-Wall Interactions
title_fullStr Bayesian Determination of Parameters for Plasma-Wall Interactions
title_full_unstemmed Bayesian Determination of Parameters for Plasma-Wall Interactions
title_short Bayesian Determination of Parameters for Plasma-Wall Interactions
title_sort bayesian determination of parameters for plasma-wall interactions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514520/
http://dx.doi.org/10.3390/e21121175
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