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A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations

dc.contributor.authorPollinger, Theresa
dc.contributor.authorRentrop, Johannes
dc.contributor.authorPflüger, Dirk
dc.contributor.authorKormann, Katharina
dc.date.accessioned2024-05-31T13:18:55Z
dc.date.available2024-05-31T13:18:55Z
dc.date.issued09.2022
dc.identifier.urihttps://hdl.handle.net/20.500.11811/11581
dc.description.abstractThe exact numerical simulation of plasma turbulence is one of the assets and challenges in fusion research. For grid-based solvers, sufficiently fine resolutions are often unattainable due to the curse of dimensionality. The sparse grid combination technique provides the means to alleviate the curse of dimensionality for kinetic simulations. However, the hierarchical representation for the combination step with the state-of-the-art hat functions suffers from poor conservation properties and numerical instability.
The present work introduces two new variants of hierarchical multiscale basis functions for use with the combination technique: the biorthogonal and full weighting bases. The new basis functions conserve the total mass and are shown to significantly increase accuracy for a finite-volume solution of constant advection. Further numerical experiments based on the combination technique applied to a semi-Lagrangian Vlasov–Poisson solver show a stabilizing effect of the new bases on the simulations.
en
dc.format.extent30
dc.language.isoeng
dc.relation.ispartofseriesINS Preprints ; 2209
dc.rightsIn Copyright
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectVlasov–Poisson equations
dc.subjectSparse grid combination technique
dc.subjectMulti-scale functions
dc.subjectNumerical instabilities
dc.subjectKinetic simulations
dc.subject.ddc510 Mathematik
dc.subject.ddc518 Numerische Analysis
dc.titleA mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations
dc.typePreprint
dc.publisher.nameInstitut für Numerische Simulation
dc.publisher.locationBonn
dc.rights.accessRightsopenAccess
dc.relation.doihttps://doi.org/10.48550/arXiv.2209.14064
ulbbn.pubtypeZweitveröffentlichung
dcterms.bibliographicCitation.urlhttps://ins.uni-bonn.de/publication/preprints


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