1
Simulations and understanding
large-scale dynamos
• Issues with global models
• Possibility of smaller scales
• Consequences of this
• Magnetic flux concentrations
• Unusual dynamo effects
Axel Brandenburg
(Nordita, Stockholm CU Boulder)
2
Global models suggest
• Distributed dynamo action
– Difference to flux transport dynamos
– Would require smaller turb. diff.
ht=urms/3kf=urmsl/3
• Surface flux from upper layers
– Difference to deeply rooted tube picture
– Surface flux reamplification needed
– NEMPI: works best for large kfHp
• Mostly cylindrical W-contours
– Anti-solar differential rotation
•
Hanasoge
Do we need to rethink?
• In mixing length theory: l=Hp only hypothesis
– cf. Nick Featherstone’s talk
• Simulations: subgrid scale diffusion, viscosity
• Envisage reasons for (i) smaller scale flows
and/or (ii) deeper parts subadiabatic?
• But depth of convection zone still 200 Mm
Spruit97 A changing paradigm
Entropy rain
Stein & Nordlund (1998) simulations
Filamentary, nonlocal shown: entropy fluctuations pos neg
Tau approximation
upii
sjj
Ncsgu
NSus
/
supijjiiii NcsgSuususu
t
F
/2
i
su
FN
Closure
hypothesis
Deardorff1
Deardorff2
Physical meaning?
lnln/ 1 pcs p
z
S pert coasting…
0 0 , 0 suus zz
Physical meaning?
lnln/ 1 pcs p
z
S
pert
0 0 ,0 suus zz
Why should only the top be unstable
constrad dz
dTKF
const3
16 3
TKe.g. if const
dz
dT
Power law baT 0
nTT ab
13
Polytropic index n
Deeper parts intrinsically stable
nTT ab
13
Polytropic index n
Kramers opacity
(interior): a=1, b=-7/2
n=3.25
Entropy gradient positive (stable) for n > 3/2
Solar opacities
n << -1 n = 3.25
Hydrostatic
reference
solutions
Thickness only
~1Mm
111 KrH
Double Kramers-like
Early work in the 1930s
Original mixing length model
surface interior
unstable
stable
stable
weakly
unstable
Su rms31
conv Fassume
New solutions
with Deardorff flux
)( adconv F
Dadconv )( F
Entropy gradient
old
new
pd
Td
ln
ln
pp HdzcSd /)(/)/( ad
arXiv:1504.03189v2
20
Consequences of small scales
• Larger kf less turb. Diffusion: ht=urms/3kf
• Applications to dynamos: stronger, less turb diffusive
– Helps flux transport dynamos
• Two other important effect:
– Lambda effect differential rotation (Co smaller, Ta larger)
– Baroclinic term stronger?
– Negative effective magnetic pressure spots
21
Flux emergence in global simulations
Nelson, Brown, Brun,
Miesch, Toomre (2014)
22
3 scenarios
• Rising flux tubes?
• Hierachical convection?
• Self-organization as part
of the dynamo
g.B u.B g.W u.w A.B
Sunspot decay
23
Self-assembly of a magnetic spot • Minimalistic model
• 2 ingredients:
– Stratification & turbulence
• Extensions
– Coupled to dynamo
– Compete with rotation
– Radiation/ionization
24
25
A possible mechanism
2
2122
312
212
312
21 BBUBUB
const
ijijijjiji BBUU
Breakdown of quasi-linear theory
ReM here based on forcing k
Here 15 eddies per box scale
ReM=70 means 70x15x2p=7000
based on box scale
Brandenburg et al (2011,ApJ 740, L50)
26
Negative effective magnetic pressure instability
• Gas+turbulent+magnetic pressure; in pressure equil.
• B increases turbulence is suppressed
• turbulent pressure decreases
• Net effect?
Kleeorin, Rogachevskii, Ruzmaikin (1989, 1990)
Sunspot
formation
that sucks
27
Typical
downflow
speeds
Ma=0.2…0.3
Mean-field
simulation:
Neg pressure
parameterized
Brandenbur et al (2014)
Bi-polar regions in simulations with corona
28
Warn
ecke et al. (2
013, A
pJL
777, L
37)
Coronal loops?
Warnecke et al. (2013, ApJL 777, L37)
First dynamo-generated bi-polar regions
30
Mitra et al. (2
01
4, arX
iv)
Still negative effective
magnetic pressure?
Or something new?
31
Mitra et al. (2014, arXiv)
Global models
32
Jabb
ari
et a
l. (
20
15
, ar
Xiv
)
33
New aspects in mean-field concept
buBUEJ
...t JBbu
...... 2
p21
s,,t BqBBqUUuu ijjiijjiji
Ohm’s law
Theory and simulations: a effect and turbulent diffusivity
Turbulent viscosity and other effects in momentum equation
34
Calculate full ij and ij tensors
• Imposed-field method
– Convection (Brandenburg et al. 1990)
• Correlation method
– MRI accretion discs (Brandenburg & Sokoloff 2002)
– Galactic turbulence (Kowal et al. 2005, 2006)
• Test field method
– Stationary geodynamo (Schrinner et al. 2005, 2007)
JBUA ε
tbuε
jijjijj JB *
turbulent emf
effect and turbulent
magnetic diffusivity
35
Calculate full ij and ij tensors
JBUA
t
JbuBUA
t
jbubuBubUa
t
pqpqpqpqpqpq
tjbubuBubU
a
Original equation (uncurled)
Mean-field equation
fluctuations
Response to arbitrary mean fields
36
Test fields
0
sin
0
,
0
cos
0
0
0
sin
,
0
0
cos
2212
2111
kzkz
kzkz
BB
BB
pq
kjijk
pq
jij
pq
j BB ,
kzkkz
kzkkz
cossin
sincos
11311
21
1
11311
11
1
21
1
11
1
113
11
cossin
sincos
kzkz
kzkz
k
213223
113123
*
22
*
21
*
12
*
11
Example:
37
Kinematic and t
independent of Rm (2…200)
1
frms31
0
rms31
0
ku
u
Sur et al. (2008, MNRAS)
1
frms
2
31
0
31
0
ku
u
uω
38
Nonlocality: convolution
• Multiplication convolution
• Babcock-Leighton effect is an example
• Sharp structures in mean-field dynamos artifacts
• Convolution in x-space multiplication in k
39
The 4 Roberts flows
IV flow: negative eddy diffusivity dynamo
But positive diffusion at small scales
Devlen et al. (2013)
40
Time-delay dynamo for
Roberts II and III flows
xzxzxt BBB 2
2kik decay
oscillatory
With time delay
xzxzxt BtBB 2)(
xzxtxzxt BBBB 2
41
Time-delay dynamo for
Roberts II and III flows
Rheinhardt et al. (2014)
Growth when
xzxtxzxt BBBB 2
])(1[
)(Re
2
22
k
kk
2/
31
frms ku
42
Conclusions • Small scale deep convection
• Deep convective flux: Deardorff
• Thus marginally stable (not unstable)
• Such flows yield weaker turb diffusion
• Favor spot formation by NEMPI
• Dynamo effect from time delay