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Non-linear Force-Free Models of the Sun

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Title: Non-linear Force-Free Models of the Sun


1
Non-linear Force-Free Models of the Suns
Magnetic Field
  • Duncan H Mackay
  • Solar Physics Group
  • University of St. Andrews

2
Contents.
  • Part1 Introduction.
  • Overview of Solar
    Atmopshere
  • MHD Equations and
    Force-Free Fields.
  • Part 2 Construction of the New Global Model.
  • Test 1 Hemispheric Pattern of
    Filaments.
  • Test 2 Open Magnetic Flux.
  • (Aad
    van Ballegoijen, Dr Anthony Yeates)?
  • Part 3 Model for a Decaying Active Region
  • . (
    Lucie Green, Aad van Ballegoijen)?


3
Solar Structure
Interior Generation of
Magnetic Fields Solar Dynamo.


Corona T gt 106 K Coronal Loops, CMEs Open Flux
Photosphere T 6000 K
Sunspots. Measure B
Chromosphere 4300 K lt T lt 105 K Transition
Region 105 K lt T lt 106 K
4
MHD Equations.
  • On the Sun material in plasma state B field
    important (Electromagnetism Fluid Mechanics).
  • Corona Force-Free Fields.

5
2. Global Non-Potential Magnetic Field Model for
the Solar Corona
Development and Application van Ballegooijen,
Priest and Mackay2000 Mackay, Gaizauskas and van
Ballegooijen 2000 Mackay and van Ballegooijen
2006a,b Yeates, Mackay and van Ballegooijen
2007, 2008a,b, 2009a,b.
6
Global Model Key Features
  • Long Term simulations (months years).
  • Retain memory of previous magnetic field
    interactions.
  • Build up of coronal currents (free
    magnetic energy)?
  • Transport of energy, magnetic
    helicity across the solar surface.
  • Not possible through single extrapolation
    approach.
  • Coupled evolution of photospheric and coronal
    fields
  • Without resetting the
    photo/coronal field
  • Include flux emergence.
  • Accurately reproduce the large-scale photospheric
    field of the Sun (based on observations).

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8
Coupled 3D Model.
  • Coronal Model Magneto-Frictional Relaxation
    (velocity ? lorentz force.)?

  • Coronal field relaxes to a non-linear

    force-free field, j x B 0.
    Relaxation time scale not physical

9
3D Inserting Bipoles
  • Bipoles are inserted as an isolated field
    containing either zero, ve or ve helicity
    (alpha) both in the photosphere and corona.

Day 250
Day 251
10
3D Non-Potential Coronal Field
  • Initial Condition Potential field
  • Coronal field evolves through a series of nlfff.

11
Test 1 Hemispheric Pattern of Filaments.
  • Solar Limb - Prominence
    Solar Disk - Filament
  • H? Emission
    H? Absorption
  • Indicators of non-potential fields
  • coronal flux
    flux ropes (weakly twisted)?
  • free magnetic
    energy.

12
Filament Chirality
  • Two types of chirality Sinistral and
    Dextral.

  • Northern
    Hemisphere

  • -
    Dextral
    Southern Hemisphere
    - Sinistral
    (Martin et al. 1995, Leroy 1983,1984)
  • Differential rotation produces the opposite
    results.

  • What other global effects could cause
    the hemispheric pattern ?

    As exceptions to hemispheric
    pattern

  • occur model must predict them as

  • well.

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14
Skew Comparison
15
Results with Hemispheric Distribution of Twist
109 filaments
Shapes observed chirality
dextral

sinistral
Colours correct wrong
Up to 96.9 correct
  • Results improve the longer the simulation is
    run.
  • Yeates, Mackay and van Ballegooijen
    2007,2008,2009

16
Test 2 Open Magnetic Flux
  • Part of Suns magnetic field that fills the
    heliosphere surrounds the Earth and directly
    interacts with the magnetosphere.
  • Current potential field models underestimate
    level of open flux particularly true at cycle
    maximum.
  • Four main sources of open flux
  • - Background level
    (location of flux sources).
  • - Enhancement due to 1)
    radial outflow (small)?

  • 2) inflation due to electric currents.

  • 3) sporadic flux rope ejections.

17
3. Model of a Decaying Active Region
  • Use observations of Bn to directly simulate the
    dispersal of an active region

  • - NOAA 8005

  • - evolution over 4 days
    (16th-19th Dec).

  • - use 96 min MDI full disk
    magnetograms.

  • - No strong shear/converging
    flows

  • small scale motions due to
    convection.

18
The Model
  • Coronal evolving non-linear force-free field.
  • Photospheric direct input of observational
    data.
  • ?
    ?
  • Bz(t) ? Ax(t), Ay(t) Bz(t1) ? Ax(t1),
    Ay(t1)?
  • Time evolution of Bz ? Interpolate between Ax,
    Ay at different time

- OBS
19
  • Observations
    Simulation
  • Technique produces an accurate representation
    of observed magnetograms.

20
Coronal Field
  • Initial Potential Field
    NLFFF 4 days

  • Potential Field
  • 4
    days.
  • Non-potential fields are seen to develop
  • along some locations.

21
Magnetic Energy
  • Left Total Mag Energy
  • (solid Pot, dotted NLFFF)
  • Free Mag Energy
  • 4 days 81030 ergs
  • (10 that of pot. field)?
  • Rate of input 2.31025 ergs/s.
  • Location of free energy (white) low corona.

22
Conclusions
  • First long term continuous simulation of coronal
    field (rather a independent extrapolations).
  • - Convincing explanation for the
    hemispheric pattern of filaments
  • through flux emergence, surface
    transport and reconnection of
  • large scale active region fields.
  • - Predicts IMF strength better than PFSS
    Models.
  • - Transport of helicity from low to high
    latitudes over many months
  • is a fundamental element of the
    coronal evolution agreement
  • gets better the longer the
    simulations are run (Sun has long term
  • memory).
  • Used observations to directly model the dispersal
    of an active region
  • (new technique) see large amount of free
    magnetic energy built up due to small scale
    random motions.

23
Future Applications/Improvements
  • Immediate improvements
  • Better description
    of flux emergence.
  • Include observed
    active region twist.
  • Applications.
  • Open Flux
    Variation.
  • Relationship to
    CMEs
  • Helicity
    Transport

24
Formation of flux rope along a PIL
  • Day 3 Day
    22 Day 35
  • Day 40
    Day 42
  • Mackay and van Ballegooijen 2006 (a,b) - APJ

25
Magnetic Helicity
  • Left Mag Helicity
  • (solid Pot, dotted NLFFF)
  • Right - Relative Mag Energy ve
  • PDF for a on base.
  • solid day 0, symmetrical
  • dashed day 2, skewed
  • dotted day 4, skewed

26
Two Component Model
  • Evolve, Suns large-scale field, B, through the
    induction equation.
  • Photospheric BC Flux Transport Model
  • Differential Rotation
  • Meridional Flow
  • Surface Diffusion

  • Shears the surface fields coronal

  • field diverges from equilibrium.


  • Physical time scale.

27
Test 3 Coronal Mass Ejections
  • Many models have been proposed to explain CMEs
    flux rope ejection (Lin 2003).
  • Global simulations contain these effects applied
    to observations.
  • Yeates and Mackay 2009 (ApJ)?
  • Comparison
  • 1) Rate of ejections to rate of
    CMEs model produces 50.
  • 2) One-to-one comparison between
    ejections and EIT coronal dimmings
  • good match with dimmings
    outside active regions.
  • (Yeates et al. 2010).

28
Emerging flux
  • Use a semi-automated procedure
  • compare successive magnetograms
  • find new bipolar regions
  • measure key properties
  • insert as ideal bipoles into simulation.

CR1948
CR1948 rotated
CR1949
Total 118 bipolar regions
29
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30
Coronal Evolution
31
Flux Transport Model(2).
  • Form of Coronal Diffusion.
  • Outflow Velocity.
  • Resolution nx 361, ny293,nz53
  • Bipole Description.

32
Statistical Test for Filament Chirality
  • T-test used to classifify chirality from
    individual barbs.
  • n no. of
    barbs (x1, x2, x3, .., xn)?
  • xi 1
    (dextral) -1 (sinistral)?
  • The number of dextral barbs is
    ????????????????????????ns n nd
  • Now assume nd following a binomial
    distribution with parameters (n,p) and assume p
    0.5
  • is 0 if neither chirality is significant. The
    classification scheme is then
  • where we choose T 1.5
  • (For large n, t should approximate a normal
    distribution with mean n and variance 1)?

33
Modelling Coronal Magnetic Fields
  • Observations generally only supply Bn at
    photosphere.
  • Deduce coronal field magnetic extrapolations
    (static).
  • Potential
    Non-linear fff
  • Aim Construct a global nlfff model
  • Based on observed
    magnetograms
  • Field evolves through
    related sequences of equilibria
  • Model coronal field for
    years.

34
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35
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