Advertisement

Multifluid Simulations of the Kelvin-Helmholtz Instability in a Weakly Ionised Plasma

  • Aoife C. JonesEmail author
  • Mohsen Shadmehri
  • Turlough P. Downes
Conference paper
Part of the Astrophysics and Space Science Proceedings book series (ASSSP)

Abstract

Multifluid simulations of the Kelvin-Helmholtz instability were carried out in order to observe the effect of including Hall and ambipolar diffusion. We found that the initial growth of the instability is similar in each case, but the following non-linear regimes differ greatly. In the presence of Hall diffusion, the plasma experiences a magnetic dynamo, and the strength of the magnetic field is seen to grow steadily even after the instability reaches a maximum. In the presence of ambipolar diffusion, the magnetic field quickly decreases, most likely as a result of magnetic reconnection.

Keywords

Magnetic Reconnection Ambipolar Diffusion Magnetic Strength Hall Resistivity Magnetic Dynamo 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    O’Sullivan, S., Downes, T.P.: An explicit scheme for multifluid magnetohydrodynamics. Mon. Not. R. Astron. Soc. 366, 1329–1336 (2006)ADSGoogle Scholar
  2. 2.
    Palotti, M.L., Heitsch, F., Zweibel, E.G., Huang, Y.-M.: Evolution of Unmagnetized and Magnetized Shear Layers. Astrophys. J. 678, 234–244 (2008)CrossRefADSGoogle Scholar
  3. 3.
    Shadmehri, M., Downes, T.P.: The role of Kelvin-Helmholtz instability in dusty and partially ionized outflows. Mon. Not. R. Astron. Soc. 387, 1318–1322 (2008)CrossRefADSGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Aoife C. Jones
    • 1
    Email author
  • Mohsen Shadmehri
    • 1
  • Turlough P. Downes
    • 1
  1. 1.School of Mathematical SciencesDCUIreland

Personalised recommendations