Selfconsistent Modeling of Accretion with Magnetohydrodynamic Turbulence - PowerPoint PPT Presentation

1 / 1
About This Presentation
Title:

Selfconsistent Modeling of Accretion with Magnetohydrodynamic Turbulence

Description:

Self-consistent Modeling of Accretion. with ... dissipation of magnetic and kinetic energies. return to isotropy (rate about dissipation rate) ... – PowerPoint PPT presentation

Number of Views:103
Avg rating:3.0/5.0
Slides: 2
Provided by: Rom597
Category:

less

Transcript and Presenter's Notes

Title: Selfconsistent Modeling of Accretion with Magnetohydrodynamic Turbulence


1
Self-consistent Modeling of
Accretion with Magnetohydrodynamic
Turbulence
Roman Shcherbakov, Center for Astrophysics,
Cambridge, MA, USA
http//www.cfa.harvard.edu/rshcherb/
rshcherbakov_at_cfa.harvard.edu
Statistical theory of MHD Turbulence
applied to
1-point modeling of radial and - quantities for
spherical geometry
coefficients from numerical simulations of
homogeneous turbulence Sreenivasan, 1995
Biskamp, 2003 Shchekochihin, 2004
  • Then extended and, finally,
  • phenomenologically includes
  • small-scale dynamo action
  • dissipation of magnetic and kinetic energies
  • return to isotropy (rate about dissipation rate)
  • return to magnetic lt-gt kinetic equipartition
  • selective decay at constant magnetic helicity

  • suppression of energy decay rate

Shcherbakov 2008, ApJS accepted
  • Outer boundary
  • homogeneous turbulence
  • source of stirring (equal energies EkEM)
  • balance of energy (dE/dt0)
  • Find outer density, temperature
  • from observations
  • Infer plasma magnetization

No self-similar solution No equipartition between
thermal and turbulent en. No effect of finite
magnetic helicity Agrees with DNS (Igumenshchev
2006)
1-point modeling of 2-nd moments
2 point self-consistent modeling
Better statistical theory?
algebraic modeling
  • Suitable for engineering calculations
  • No general form of the equations
  • Cannot be extrapolated
  • Coefficients from DNS
  • that it tries to explain

Kraichnan, 1959, 1965 etc.
Kraichnan 1976 Yoshizawa 2003
Speziale 1991 Perrot, Chartland, 2005
Martin, Siggia, Rose 1973
1-point model
Non-random large scale
No adjustable parameters
Two-Scale DIA
Nice try (per aspera ad astra)
  • 1-point closure easy to integrate
  • Large scale fields are explicitly treated
    (dynamo)
  • Coefficients are known to good accuracy
  • Demonstrated agreement w/ solar wind turbulence
  • Eulerian DIA is employed
  • Small-scale variable is considered isotropic
  • Sharp cut-off in spectrum of small-scale variable

Agrees with numerical simulations
Anisotropic statistics of small-scale
Volume average distinguished from ensemble
average
Rigorous derivation
Yoshizawa, 1984, 2003 Yokoi et al. 2006, 2007
Polarized radiative transfer diagnostics
of magnetic field
Shcherbakov 2008, ApJ submitted
Write a Comment
User Comments (0)
About PowerShow.com