tackling the coronal heating problem using 3d mhd models with spectral synthesis solar eclipse,...
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Tackling the coronal heating problemusing 3D MHD models with spectral
synthesis
Sol
ar e
clip
se, 1
1.8.
1999
, Wen
dy C
arlo
s &
Joh
n K
ern
observational constraints
3D MHD model
spectral synthesis
results: structures Doppler shifts DEM
Hardi Peter, Kiepenheuer-Institut für Sonnenphysik, Freiburg
Boris Gudiksen, Institute for Theoretical Astrophysics, Oslo
Åke Nordlund, Astronomical Observatory, NBIfAFG, Copenhagen
Doppler shifts in the solar transition region
0
10
10
5
5
D
oppl
er
shift
[ km
/s ]
Pet
e r
(19 9
9)
Ap J
516
, 4 9
0
SUMER
105 K 6.5105 K
Hardi PeterKIS
Doppler shifts in the low corona & TR
Peter & Judge (1999) ApJ 522, 1148SUMER
Hardi PeterKIS
mean quiet SunDoppler shiftsat disk center
similar for active region line shifts but higher amplitude
qualitatively similar in solar-like stars – smaller for small activity
Net Doppler shifts in 1D models
Doppler shiftas a function of temperature
line formation temperature log (T [K])
line formation temperature T [K]
(blu
e)
D
oppl
er s
hift
[km
/s]
(
red
)Hardi Peter
KIS
4·105 K
105 K
106 K
104 Kphotosphere
corona
e.g.: asymmetric heating flows or waves
asymmetricheating
shock
higherdensity
A by far incomplete list of suggestionsto understand the red / blueshiftsby using loop models:
Antiochos (1984) ApJ 280, 416 McClymont & Craig (1987) ApJ 312, 402Mariska (1988) ApJ 334, 489Klimchuk & Mariska (1988) ApJ 328, 334Hansteen (1993) ApJ 402, 741Peter & Judge (1999) ApJ 522, 1148Teriaca et. al. (1999) A&A 349, 636
no satisfactory model yet
reproducing the vD vs. T curve
qualitatively and quantitatively!!
Emission measure in the (low) coronaHardi Peter
KIS
EM h =Z
n2e dh
Fline / hºZG(T) n2e dh
atomic physics:– excitation– ionisation ...emission measure:
The problem:
below 105 K T is very steep ( q T5/2 T )
in stratified models:
T is so steep
that EM decreases below 105K !
possible scenarios:
– additional dense cool structures – increased heat-conduction below 105 K – heat transport across the field...
Gab
riel (
1976
)P
hil.
Tra
ns.
R.
Soc
. Lo
n.A
281,
339
A multi–structured low corona
Dowdy et al. (1986)Solar Phys., 105, 35
do we have to dealwith a multitudeof individual structures?
Hardi PeterKIS
only 3D models can helpto understand this!
line formation temperature log (T [K])
line formation temperature T [K]
(blu
e)
D
oppl
er s
hift
[km
/s]
(
red
)
Gudiksen & Nordlund (2002) ApJ 572, L113 2x (2004) ApJ, in press
3D coronal modellingHardi Peter
KIS
horizontal x [ Mm]
ho
rizo
nta
l
y [
Mm
]
MDI magnetogram
vert
ical
z
[ M
m]
synthetic TRACE 171 Å emission measure
vertical z [ Mm]cu
rren
t
log 10
J2
mean B2
mean J2
histogram of currents
3D MHD model for the corona: 50 x 50 x 30 Mm Box (now 1503) – fully compressible; high order – non-uniform staggered mesh
full energy equation (heat conduction, rad. losses)
starting with scaled-down MDI magnetogram – no emerging flux
photospheric driver: foot-point shuffled by convection
braiding of magnetic fields (Galsgaard, Nordlund 1995; JGR 101, 13445)
heating: DC current dissipation (Parker 1972; ApJ 174, 499)
heating rate J2 ~ exp(- z/H )
loop-structured 106K corona
21e ),( AhnTG ione
2
nn
n
el
ion
n
n
e
H
n
n
H
el
n
n
),(),( e2
e212 nTGnAnht x
3m
W
total ionization 0.8
abundance = const.
ionizationexcitation
Assumptions:– equilibrium excitation and ionisation (not too bad...)
– photospheric abundances
use CHIANTI to evaluate ratios (Dere et al. 1997) G depends mainly on T (and weakly on ne) log T [K]
norm
aliz
ed c
ontr
ibut
ion
emissivity in the computational box as a function of T
From the MHD model: – density (fully ionized) ne at each
– temperature T grid point and time
Emissivity from the 3D modelHardi Peter
KIS
Emissivity at each grid point and time step:
Synthetic spectraHardi Peter
KIS
2
2los
0 exp),(th
ItIw
vvx
1) emissivity at each grid point (x,t)
2) velocity along the line-of-sight from the MHD calculation vlos
3) temperature at each grid point T
line profile at each grid point:ion
B ),(2m
tTkth
xwline width correspondingto thermal width
total intensity correspondingto emissivity I0 wth (x,t)
integrate along line-of-sight
maps of spectraas would be obtained by a scanwith an EUV spectrograph, e.g. SUMER
analyse these spectra likeobservations
– calculate moments: line intensity, shift & width– emission measure (DEM) – etc. ...
side views
Coronal evolution
top view
Hardi PeterKIS
large coronal loops connecting active regions
gradual evolution in line intensity (“wriggling tail”)
higher spatial structure and dynamics in Doppler shift signal
it is important to have full spectral information!
Mg X (625 Å)
~106 K
side views
TR evolution: C IV (1548 Å)
top view
Hardi PeterKIS
very fine structured loops – highly dynamic
also small loops connecting to “quiet regions”
cool plasma flows – locks like “plasma injection”
dynamics quite different from coronal material !
C IV (1548 Å)
~105 K
Doppler shiftsHardi Peter
KIS
spatial and temporal averages
– very good match in TR – overall trend vD vs. T quite good
– still no match in low corona boundary conditions? missing physics?
temporal variability
– high variability as observed – for some times almost net blueshifts in low corona!
no “fine-tuning” applied !
best over-all match of models so far
DEM inversion using CHIANTI:
1 – using synthetic spectra derived from MHD model
2 – using solar observations (SUMER, same lines, quiet Sun)
good match to observations!!
DEM increases towards low T in the model !
Emission measureHardi Peter
KIS
T
hnDEM
d
d2e
Si II Mg X
Supporting suggestions thatnumerous cool structures
cause increase of DEM to low T
ConclusionsHardi Peter
KIS
Synthetic spectra from a 3D MHD model of a small active region on the Sun
Smooth evolution in corona, but variable Doppler shifts
highly structured in TR lines
For the first time we get a – reasonable good match to TR and coronal Doppler shifts
– very good match to Emission Measure (especially < 105 K)
good arguments for flux braiding as (the) heating mechanism in moderately active regions
Outlook
Boundary conditions – open field regions
Quiet Sun structures
better chromosphere
non-equilibrium ionisation
additional material:
ioneion
1Cn
||)log(
ˆ)(log1
ionflow
vv
T
T
A note on ionization equilibriumHardi Peter
KIS
ionization equilibrium is a severe assumption for a dynamic environment
flow time:
how long does it take to flow across a temperature difference logT with a velocity v?
(logT)ion= 0.1 according to ion.equilibrium
(log T) and v from MHD calculation
ionization time:
what is the ionisation rate?
ne from MHD calculation
Cion(T) from Arnaud & Rothenflug (1985)
but it is not too bad for the present problem...
Non-thermal line widthsHardi Peter
KIS
roughly right order of magnitude
not right trend
... not really surprising thinking of resolution...
more material:
• ref to DEM curve (Raymond ?)
• ref to stellar TR doppler shifts as fct of T
• title of Gudiksen & Nordlund poster
check the posterGudiksen & Nordlund:
“title”
and some plans…
further diagnostics: – temporal and spatial variability – correlation of emission from different lines – line-of-sight effects / stellar spectra
3D models of coronal structures / Pencil code implementation [Sven Bingert] – quiet Sun structures / network – more/emerging magnetic flux / stellar activity
advanced diagnostics: inclusion of non-equilibrium ionisation [Pia Zacharias]
Long term plans
Photospheric observations as boundary conditions use of evolution of observed maps of velocity and magnetic fields [TESOS / polarimetry]
what to do with the chromosphere ? / “toy” radiative transfer ?
local helioseismology: sub-surface flows for slow evolution of active regions / flare initiation
non-MHD-effects ?