jan. 27, 2005hmi team meeting the minimum energy fit the slowest motion required by induction dana...
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Jan. 27, 2005 HMI team meeting
The Minimum Energy FitThe Minimum Energy FitThe Minimum Energy FitThe Minimum Energy Fit
The Slowest Motion Required The Slowest Motion Required by Inductionby Induction
Dana LongcopeDana LongcopeMontana State UniversityMontana State University
Work supported by DoD MURI grantWork supported by DoD MURI grant
Jan. 27, 2005 HMI team meeting
The dataThe dataThe dataThe data
slices of MHD simulation slices of MHD simulation (Tetsuya Magara)(Tetsuya Magara)
Time-resolved vector magnetogramsTime-resolved vector magnetograms
00:03:16 00:04:05
Jan. 27, 2005 HMI team meeting
The Induction equationThe Induction equationThe Induction equationThe Induction equation
hzhz Bt
BvB
zvVertical induction Eq.Vertical induction Eq.
Known from dataKnown from data
Jan. 27, 2005 HMI team meeting
The Induction equationThe Induction equationThe Induction equationThe Induction equation
hzhz Bt
BvB
zvVertical induction Eq.Vertical induction Eq.
To be foundTo be found
1 Equation 3 unknowns1 Equation 3 unknowns
Jan. 27, 2005 HMI team meeting
The Induction equationThe Induction equationThe Induction equationThe Induction equation
hzhz Bt
BvB
zv
zzzB
t
zh
hz
hz
hhhhh
vv B
Bv
BvBvB
Vertical induction Eq.Vertical induction Eq.
5 more unkowns5 more unkowns
Horizontal induction Eq.Horizontal induction Eq.
1 Equation 3 unknowns1 Equation 3 unknowns
Jan. 27, 2005 HMI team meeting
Solving Induction for Solving Induction for vvSolving Induction for Solving Induction for vv
2zv hhzhz Bt
B
vB
zvB ˆvz hzh B
Introduce unknown scalar Introduce unknown scalar potentialspotentials
Induction Eq. Induction Eq. Possion Eq. for Possion Eq. for
Jan. 27, 2005 HMI team meeting
Processing dataProcessing dataProcessing dataProcessing data
Region w/ info for velocityRegion w/ info for velocity
+
t2
t1
t3/2
Jan. 27, 2005 HMI team meeting
Processing dataProcessing dataProcessing dataProcessing data
-
12
1,2,
tt
BB
t
B zzz
t2
t1
t3/2
Jan. 27, 2005 HMI team meeting
Solve Poisson Eq.Solve Poisson Eq.Solve Poisson Eq.Solve Poisson Eq.2hz
t
B
(x,y) inside(x,y) insideRegionRegion
00 on bndryon bndry
Induct’n eq.Induct’n eq.is is exactlyexactlysatisfiedsatisfied
Jan. 27, 2005 HMI team meeting
Finding other componentsFinding other componentsFinding other componentsFinding other components
z
hh B
zBv
ˆv)v,( zz
free fieldsfree fields
dydxW zh 22
zz v)v,()v,( v
Define function to optimizeDefine function to optimize
Solution will have smallest Solution will have smallest vv consistent w/ data consistent w/ data
Bonus:Bonus: v .B=0v .B=0
Jan. 27, 2005 HMI team meeting
The MinimizationThe MinimizationThe MinimizationThe Minimization
2||
)ˆ(v
B
zB
hz
2z
2z B
)v(ˆ
B
hzBz
vvzz::
::
known
known
held fixed
held fixed
Elliptic operator
Jan. 27, 2005 HMI team meeting
Magnetogram gridMagnetogram gridMagnetogram gridMagnetogram grid
BzBh BzBh BzBh
BzBh BzBh BzBh
BzBh BzBh BzBh
Jan. 27, 2005 HMI team meeting
Solving for Solving for Solving for Solving for
vy
vy
vx
vx
vz
vz
vz
vz
vz
vz
vz
vz
vz
2z
2z B
)v(ˆ
B
hzBz
Finite DifferenceFinite DifferenceElliptic operatorElliptic operator
Variables on Variables on staggered meshstaggered mesh
Jan. 27, 2005 HMI team meeting
Solving for Solving for Solving for Solving for
2z
2z B
)v(ˆ
B
hzBz
Solve elliptic equationSolve elliptic equationWithin strong-fieldWithin strong-field
boundaryboundary
Current implementation:Current implementation:Relaxation methodRelaxation method
Jan. 27, 2005 HMI team meeting
Minimizing the EnergyMinimizing the EnergyMinimizing the EnergyMinimizing the Energy
Relaxation steps
Actual flow
dydxW zh 22
zz v)v,()v,( v
Alternate & vz minimization
Jan. 27, 2005 HMI team meeting
Comparison of ResultsComparison of ResultsComparison of ResultsComparison of Results
MHD MEF
Jan. 27, 2005 HMI team meeting
Comparison of ResultsComparison of ResultsComparison of ResultsComparison of Results
MHD MEF
Fup = 3.3 X 1022 cm3/s Fup = 1.5 X 1022 cm3/s
Jan. 27, 2005 HMI team meeting
Real data: AR8210Real data: AR8210Real data: AR8210Real data: AR8210
• IVM (U.Hawaii)IVM (U.Hawaii) 3 min cadence3 min cadence 1.1” resolution1.1” resolution• Ambig’ty res.Ambig’ty res. Canfield et al. 1993Canfield et al. 1993• avg. 5 ‘gramsavg. 5 ‘grams• t = 30 min.t = 30 min.
(Courtesy KD Leka)(Courtesy KD Leka)
Boundary |Bz|=60 G
Jan. 27, 2005 HMI team meeting
Real data: AR8210Real data: AR8210Real data: AR8210Real data: AR8210
dBdBzz/dt /dt (grey)(grey)
(x,y) (x,y) (contours)(contours)
Jan. 27, 2005 HMI team meeting
Doppler FlowsDoppler FlowsDoppler FlowsDoppler Flows
dydxuW zzh 22
zz v)v,()v,( v
• Find Find uuzz(x,y)(x,y) by other means by other means (e.g. Doppler measurments)(e.g. Doppler measurments)• Incorporate using new functionalIncorporate using new functional
i.e. find consistent flow with small i.e. find consistent flow with small horizontal velocities which best horizontal velocities which best matchesmatches observations observations
Mismatch w/ DopplerMismatch w/ Doppler
Jan. 27, 2005 HMI team meeting
Doppler FlowsDoppler FlowsDoppler FlowsDoppler Flows
Use vUse vzz(x,y) from solution as Doppler signal(x,y) from solution as Doppler signal
Jan. 27, 2005 HMI team meeting
Data ConsiderationsData ConsiderationsData ConsiderationsData Considerations• Cadence:Cadence:
– Large Large t t problems problems ((t ~ 15-30 min)t ~ 15-30 min)
• Co-alignmentCo-alignment• Seeing produces spurious Seeing produces spurious vv((xx))• Ambiguity resolutionAmbiguity resolution
– ttn n t tn+1n+1 consistency - consistency - importantimportant
• Doppler measurements Doppler measurements (easily used)(easily used)– Best: Best: vv for magnetized plasma for magnetized plasma
Jan. 27, 2005 HMI team meeting
Implementing the Implementing the AlgorithmAlgorithm
Implementing the Implementing the AlgorithmAlgorithm
• Define outer boundary Define outer boundary (necessary?)(necessary?)
(trickiest step at present)(trickiest step at present)
• Solve elliptic equation(s) Solve elliptic equation(s) – relaxation?– relaxation?
(could be made much faster)(could be made much faster)
• Artifacts near PILArtifacts near PIL
(smoothing, lotsa relaxin’)(smoothing, lotsa relaxin’)
• Use Use vv((xx)) from previous step(s) as from previous step(s) as additional constraintadditional constraint