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COMPLEXITY IN SOLAR ACTIVE REGIONS

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Title: COMPLEXITY IN SOLAR ACTIVE REGIONS


1
COMPLEXITY IN SOLAR ACTIVE REGIONS
  • Loukas Vlahos
  • Department of Physics
  • University of Thessaloniki, Greece

2
Active regions are open, non-linear dynamical
systems
  • Energy enters and escape from all boundaries but
    the most important boundary is the photosphere...
  • The statistical properties of the formation and
    evolution of active regions at the photosphere
    are of importance for the flare energy release

3
SMALL SCALE VS LARGE SCALE ORGANIZATION
  • AR are formed and developed gradually till they
    disappear
  • Follow well defined statistical laws
  • Size distribution of AR, fractal dimension have
    been studied
  • AR made by N-mutually interacting loops, which
    are never stable and represent the eddy patterns
    of turbulence in the convection zone

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5
Introduction(a few well accepted facts)
  • The flux tubes during their buoyant rise to the
    surface are influenced by several physical
    effects e.g. Coriolis force, magnetic tension,
    drag and most importantly the convection motion.

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THE CORONAL PART OF ACTIVE REGIONS RESPOND TO
THE EVOLUTION OF THEIR PHOTOSPHERIC BOUNDARY
9
Active region formation
10
Key observations to constrain the models
  • Size distribution of active regions
  • 1.9ltklt2.1 (see Howard 1996)

11
Active regions form fractal structures
  • The geometrical characteristics of the active
    regions can be represented with a single
    characteristic correlation dimension
  • See Meunier 1999 and references sited in this
    article

12
Statistics of the explosive events
  • Peak intensity distribution of explosive events
    in the low chromosphere follow also a power law
    with index (see for example Ellerman bombs,
    Georgoulis et al. 2002)

13
Question?
  • Are the sub-photospheric / photospheric /
    chromospheric/coronal characteristics of the
    magnetic field evolution independent?
  • Basic working assumption The Complexity of the
    magnetic field in active region suggest that all
    solar phenomena are interdependent and the well
    known say for the evolution of non-linear systems
    (attributed to Lorentz) the sensitivity to the
    initial conditions in non-liner systems is such
    that the flopping of the winds of a butterfly in
    Brazil will influence the weather in New York
    apply to all solar phenomena.

14
Sub-photospheric evolution
  • Let us assume that the convection zone is
    penetrated with flux tubes (fibrils) with
    different size and magnetic strength all moving
    with different speeds towards the surface.
  • Can we cut the 3-D box with a surface and
    consider that each magnetic tube is represented
    with a circle with diameter R.
  • Almost 20 years ago Tom Bogdan in his Ph.D pose
    this question and try to develop the statistical
    evolution of the dilute gas consisted of 2-D
    fibrils

15
Statistics of sub-photospheric evolution of
magnetic fields
  • See Bogdan and Lerche (1985)
  • There is considerable
  • work published on the
  • filamentary MHD

16
Vortex attraction and formation of active regions
  • The magnetic field emerging through the surface
    of the sun are individually encircled by one or
    more subsurface vortex rings, providing an
    important part of the observed clustering of
    magnetic fibrils.. Parker (1992)

17
A model based on transport on fractal support and
percolation(Model-1)
  • Carl Schrijver and collaborators (1992/1997)
    presented a model were magnetic field robes are
    filling a point in this lattice with probability
    p and then executing random walks on a
    structured lattice. The flux robe diffuse on a
    network already structured.

18
A Cellular Automaton Model based on
percolation(models 2/3)
  • See Wentzel and Seiden (1992), Seiden and Wenrzel
    (1996)

19
The basic rules for Model-4(Vlahos, et al, ApJ
Letters, 2002)
  • We use a 200x1000 square grid with no magnetic
    flux (0)
  • We star by filling 0.5 (1)positive magnetic
    flux a 0.5 (-1) negative.
  • Stimulation probability P Any active point for
    one time step stimulate the emergence of new flux
    in the neighborhood. Newly emerged flux appear in
    dipoles.
  • Diffusion due to unrestricted random walk
    Dm(mobility) free motion on the grid.
  • Diffusion due to submergence Dd (submergence of
    flux) Fast disappearance if the neighboring
    points are non-active.
  • Spontaneous generation of new flux E (its value
    is not important) To keep the process going

20
The basic rules for Model-4(Vlahos, et al., ApJ
Letters, 2002)
  • Comment These models are based on two universal
    principals on the development of complex systems.
    (A) The continuous fight tendencies Emergence
    vs diffusion and (B) Percolation
  • The results are generic and independent on the
    exact values of the free parameters but the
    observations constrain their values to a subset
    of the available 3-D space (PxDmxDd
    (0-1)X(0-1)x(0-1)

21
Results
  • The evolution of active points
  • Are the values of P,D,E unique?

22
A basic portrait
23
Size distribution
  • k2.05

24
Fractal correlation dimension
  • See also Meunier 1999 for similar results using a
    variant of Wentzel and Seiden model.

25
Energy release
  • Cancellation of flux due to collisions of
    opposite flux releases energy

26
Peak flux frequency distribution
  • a2.24

27
Waiting Time Distribution
28
Is the statistics of the size distribution
correlated to the energy release statistics?
29
A movie on the active region evolution and
magnetic field cancellation
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31
The standard SOC model for flares
  • Loading phase-very important
  • Rule-1 Instability threshold (criticality)
  • Rule-2 Redistribution and energy release
  • Reloading - Either continuous or after relaxation

32
Magnetic field evolution in the corona(A 3-D MHD
simulation)
  • Ake Nordlund and Klaus Galsgaard (1996)

33
Similar results from the SOC theory
  • Vlahos, Georgoulis, Isliker, Anastasiadis see
    also review by Charbonneau et al. (2001)

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35
Connection of CA to MHD
  • Equations used

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40
A movie from the SOC and TRACE
  • ..\..\..\movie_flare.mpg
  • A TRACE movie

41
Fractal properties of the unstable current regions
  • McIntosh et al (2002) (DF?1.8-2.0)

42
Wave propagation in a structured active region
(filled with intermittent current sheets sitting
on a fractal in 3-D space)
  • Wave propagation reinforces the current sheet and
    the absorption coefficient of the waves is
    enhanced by several orders of magnitude

43
Old paradigm
  • Let us leave behind these nice historic cartoons
    and search for a new one to replace them

44
The new paradigm
  • A new model for the energy release seems to be
    suggested
  • This model has different characteristics from the
    old cartoons
  • The current sheets are driven from the evolution
    of magnetic fields at the convection
    zone/photosphere level.
  • Many characteristics of this sub-photospheric/phot
    ospheric evolution are imprinted on the evolving
    and changing current sheet in all levels of the
    corona

45
My favorite cartoon(it is time for change of
paradigm) although here we must be careful on the
same problems I have just mention.
  • Vlahos(1992/1993), Vlahos and Anastasiadis
    (1991-92)

46
Levy flights in velocityan anomalous diffusion
in velocity space
47
Combine magnetic turbulence and E-field
  • Magnetic turbulence are trapping the particles
    for Energies EltEc
  • Electric fields heat the particles up to Ec and
    freely accelerate them above Ec

48
Velocity Distribution above cut off
49
Summary
  • The turbulent convection zone, through the
    magnetic fields drives the entire solar
    atmosphere.
  • The complexity of our system (convection
    zone/photosphere/chromosphere/corona) is such
    that only statistical analysis and statistical
    models can capture its dynamical evolution
  • There is strong correlation between the evolution
    of photosphere patterns and chromospheric/coronal
    effects (this is indicated by my k-a dependence)

50
Summary
  • We need a series of 3-D MHD studies to understand
    deeper the physical meaning of the free
    parameters of our CA models and restrict the
    rules further
  • I believe that we need to start building global
    solar models using more techniques borrowed from
    complexity theory.
  • We will make considerable progress only if we
    understand deeper the interconnection of the
    elements of our system, this new global
    understanding has to be reflected even on the
    drawing of new cartoons
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