05 Jul 2022
05 Jul 2022
Status: this preprint is open for discussion.

Spatial filtering in a 6D hybrid-Vlasov scheme for alleviating AMR artifacts: a case study with Vlasiator, versions 5.0, 5.1, 5.2.1

Konstantinos Papadakis1, Yann Pfau-Kempf1, Urs Ganse1, Markus Battarbee1, Markku Alho1, Maxime Grandin1, Maxime Dubart1, Lucile Turc1, Hongyang Zhou1, Konstantinos Horaites1, Ivan Zaitsev1, Giulia Cozzani1, Maarja Bussov1, Evgeny Gordeev1, Fasil Tesema1, Harriet George1, Jonas Suni1, Vertti Tarvus1, and Minna Palmroth1,2 Konstantinos Papadakis et al.
  • 1University of Helsinki, Department of Physics, Helsinki, Finland
  • 2Finnish Meteorological Institute, Space and Earth Observation Centre, Helsinki, Finland

Abstract. Numerical simulation models that are used to investigate the near-Earth space plasma environment require sophisticated methods and algorithms together with high computational power. Vlasiator is a hybrid-Vlasov plasma simulation code that, as of recent technological developments, has been able to perform 6D (3D in ordinary space and 3D in velocity space) simulations using Adaptive Mesh Refinement (AMR). In this work we describe a side effect of using AMR in Vlasiator where the heterologous grid approach creates resolution induced discontinuities due to the different grid resolution levels. The discontinuities cause spurious oscillations in the electromagnetic fields that alter the global results. We present and test a spatial filtering operator for alleviating this artifact without significantly increasing the computational overhead. We demonstrate the operator's use case in large 6D AMR simulations and evaluate its performance with different implementations.

Konstantinos Papadakis et al.

Status: open (until 04 Sep 2022)

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  • RC1: 'Comment on egusphere-2022-420', Anonymous Referee #1, 12 Jul 2022 reply

Konstantinos Papadakis et al.

Konstantinos Papadakis et al.


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Short summary
Vlasiator is a plasma simulation code that simulates the entire near-Earth space at a global scale. Six-dimensional simulations require enormous amounts of computational resources, and Vlasiator uses Adaptive-Mesh-Refinement (AMR) to lighten the computational burden. However, due to Vlasiator’s grid topology, AMR simulations suffer from grid aliasing artifacts that affect the global results. In this work, we present and evaluate the performance of a mechanism for alleviating those artifacts.