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Statistical studies of the evolution of Statistical studies of the evolution of magnetic fields in the sunmagnetic fields in the sun

Loukas VlahosDepartment of Physics,

University of Thessaloniki, Greece(vlahos@astro.auth.gr)

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Outline Outline

Introductory remarks Key observations Sub-photospheric evolution of magnetic fields Formation and evolution of active regions

(photosphere) Coronal evolution of magnetic fields Summary

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IntroductionIntroduction(a few well accepted facts)(a few well accepted facts)

Active regions are diagnostics of sub-photospheric activity

Active regions reflect (heating and flaring) the dynamic interaction of magnetic fields with the turbulent convection zone

Flux tubes generated initially at the base of the convection zone rise to the surface by buoyant forces.

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IntroductionIntroduction(a few well accepted facts)(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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A working hypothesesA working hypotheses

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Key observations to constrain the Key observations to constrain the modelsmodels

Size distribution of active regions

1.9<k<2.1 (see Howard 1996)

( ) ~ kN A A

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Active regions form fractal structuresActive 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

1.3 1.7FD

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Statistics of the explosive eventsStatistics 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)

( ) ~

1.5 2.5

aN E E

a

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Question?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 Santorini” apply to all solar phenomena.

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Sub-photospheric evolutionSub-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 sphere 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

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Statistics of sub-photospheric Statistics of sub-photospheric evolution of magnetic fieldsevolution of magnetic fields

See Bogdan and Lerche (1985)

There is considerable work published on the filamentary MHD

1[ ( , , ) ] [ ( , , ) ]

N Nru r t N r t N Coll

t r r T

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Vortex attraction and Vortex attraction and formation of active regionsformation 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)

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A model based on transport on fractal support and A model based on transport on fractal support and percolationpercolation

(Model-1)(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.

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A Cellular Automaton Model based on percolationA Cellular Automaton Model based on percolation

(models 2/3)(models 2/3)

See Wentzel and Seiden (1992), Seiden and Wenrzel (1996)

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The basic rules for Model-4The basic rules for Model-4(Vlahos, Frangos,Isliker,Georgoulis)(Vlahos, Frangos,Isliker,Georgoulis)

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

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ResultsResults

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

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A basic portraitA basic portrait

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Size distributionSize distribution

k=2.05

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Fractal correlation dimensionFractal correlation dimension

See also Meunier 1999 for similar results using a variant of Wentzel and Seiden model.

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Energy releaseEnergy release

Cancellation of flux due to collisions of opposite flux releases energy 2~E B

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Peak flux frequency Peak flux frequency distributiondistribution

a=2.24 ( ) ~ aN E E

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WWaiting aiting TTime ime DDistributionistribution

2.14

max

( ) ~ ( ) expD

P t tD

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Is the statistics of the size distribution correlated Is the statistics of the size distribution correlated to the energy release statistics?to the energy release statistics?

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A movie on the active region evolution A movie on the active region evolution and magnetic field cancellationand magnetic field cancellation

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The basic rules for Model-4The basic rules for Model-4(Vlahos, Fragos,Isliker,Georgoulis)(Vlahos, Fragos,Isliker,Georgoulis)

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)]

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Magnetic field evolution in the corona(A 3-D Magnetic field evolution in the corona(A 3-D MHD simulation)MHD simulation)

Ake Nordlund and Klaus Galsgaard (1996)

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Similar results from the SOC Similar results from the SOC theorytheory

Vlahos, Georgoulis, Isliker, Anastasiadis see also review by Charbonneau et al. (2001)

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A movie from the SOC and A movie from the SOC and TRACETRACE

..\..\..\movie_flare.mpg

A TRACE movie

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Fractal properties of the unstable current Fractal properties of the unstable current regionsregions

McIntosh et al (2002) (DF1.8-2.0)

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Wave propagation in a structured active region Wave propagation in a structured active region

((filled with intermittent current sheets sitting on a fractal in 3-D space)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

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The new paradigmThe 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/photospheric

evolution are imprinted on the evolving and changing current sheet in all levels of the corona

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““Old” paradigmOld” paradigm

Let us leave behind these nice historic cartoons and search for a new one to replace them…

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Photos from Skylab/SMM/Yohkoh seem to agree so well with this Photos from Skylab/SMM/Yohkoh seem to agree so well with this cartoon?cartoon?PPictures some times may lead you to the wrong conclusions so be careful ictures some times may lead you to the wrong conclusions so be careful how far you push the connection of the visual impression with the energy how far you push the connection of the visual impression with the energy release when you form cartoonsrelease when you form cartoons

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My favorite cartoonMy favorite cartoon(it is time for change of paradigm) although here we must be (it is time for change of paradigm) although here we must be careful on the same problems I have just mention.careful on the same problems I have just mention.

Vlahos(1992/1993), Vlahos and Anastasiadis (1991-92)

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SummarySummary

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 dynamic evolution

There is strong correlation between the evolution of photosphere patterns and chromospheric/coronal effects (this is indicated by my k-a dependence)

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SummarySummary

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…