The effects of spatial sampling on random noise for gyrokinetic PIC simulations in real space

T. P. Kiviniemi*, U. Sauerwein

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)


We study the effects of cloud-in-cell sampling and gyroaveraging on random noise in real space (as opposed to the common Fourier space presentation), and show that together, these can reduce the noise by a factor of 3 compared to nearest grid point sampling without gyroaveraging. Hence an order of magnitude less test particles are needed for the given noise level. We derive equations for noise level as a function of Larmor radius and also investigate the effect of gyroaveraging on noise in local gradients. The effect of number of gyropoints on noise is also discussed. (C) 2016 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)162-167
Number of pages6
JournalComputer Physics Communications
Publication statusPublished - Jun 2016
MoE publication typeA1 Journal article-refereed


  • Particle-in-cell
  • Cloud-in-cell
  • Gyroaveraging
  • Noise

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