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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
Descripción
Sumario: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.