On Nonintrusive Uncertainty Quantification and Surrogate Model Construction in Particle Accelerator Modeling | Zendy

Andreas Adelmann | Zendy

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On Nonintrusive Uncertainty Quantification and Surrogate Model Construction in Particle Accelerator Modeling

Author(s) -

Andreas Adelmann

Publication year - 2019

Publication title -

siam/asa journal on uncertainty quantification

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.094

H-Index - 29

ISSN - 2166-2525

DOI - 10.1137/16m1061928

Subject(s) - sobol sequence , surrogate model , uncertainty quantification , computer science , sensitivity (control systems) , polynomial chaos , propagation of uncertainty , uncertainty analysis , algorithm , mathematical optimization , mathematics , simulation , statistics , machine learning , monte carlo method , electronic engineering , engineering

Using a cyclotron-based model problem, we demonstrate for the first time the applicability and usefulness of an uncertainty quantification (UQ) approach in order to construct surrogate models. The ...

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