text
stringlengths 0
44.4k
|
---|
horizontal and vertical components of the
|
ows was implemented by Jackiewicz,
|
Gizon & Birch (2008), in which the Born kernels and the noise covariance matrix
|
are both consistent with the denition of the observed travel times. We note
|
that the vertical component of velocity has been indirectly estimated from ring-
|
diagram inversion by requiring mass conservation (e.g. Komm et al. 2004).Local Helioseismology 21
|
4.2 Strong Perturbation Regime
|
The solar atmosphere is permeated by concentrations of magnetic eld with
|
strengthB > 1 kG. This magnetic eld profoundly aects the solar atmosphere
|
as well as the solar oscillations in the upper layers (Bogdan & Cally 1995, and
|
references therein). The eects on the waves are not small and it is formally
|
not justied to employ a single-scattering approximation to describe them. For
|
example, the rst Born approximation is not expected to capture the interaction
|
of f and p modes with the near-surface layers of sunspots (e.g. Gizon, Hanasoge
|
& Birch 2006).
|
The Lorentz force is an additional restoring force that permits the existence of
|
new oscillation modes. In the case of a spatially uniform model with no gravity,
|
it is possible to identify three types of magneto-hydrodynamics (MHD) waves:
|
the fast, slow, and Alfv en waves. In gravitationally stratied magnetized atmo-
|
spheres, this classication can only be applied locally. The waves couple near the
|
layer where the sound speed and the Alfv en speed, a=B=p4, are equal (e.g.
|
Schunker & Cally 2006). In a typical sunspot, the a=csurface is only a few
|
hundred km below the quiet-Sun photosphere.
|
The ray approximation can be extended in order to study wave propagation in
|
MHD problems (e.g. Schunker & Cally 2006). The magnetic eld aects travel
|
times, mode frequencies, and amplitudes. These eects depend sensitively on
|
the geometry, in particular the angle between the incident wave vector and the
|
magnetic eld vector at the a=clayer. Figure 10 shows two example ray
|
calculations for the case of an incoming acoustic wave approaching the solar
|
surface from below (the magnetic eld, wave vector, and gravity are in the same
|
plane). In these two calculations all of the parameters are the same except that
|
the angle of the magnetic eld has been changed. In Figure 10a, the wavevector
|
of the acoustic wave is nearly aligned with the magnetic eld at the a=clayer.
|
In this case, most of the energy is transmitted to the acoustic (slow) mode of the
|
a > c region. This acoustic mode escapes along the magnetic eld lines (ramp
|
eect). Some energy is, however, converted to the fast (magnetic) mode which is
|
then refracted by the increase of the Alfv en speed with height. In Figure 10b,
|
the incident wavevector makes a large angle with the magnetic eld. At the
|
a=clevel, the acoustic wave converts mostly into a magnetic (fast) mode that
|
is refracted back into the Sun and then mostly becomes a downward propagating
|
magnetic (slow) mode, while a small fraction of energy continues as a fast mode.
|
The slow mode is not seen again at the surface, and thus removes energy from
|
the surface waveeld. Supplemental Movies 3 { 6 illustrate generalized ray
|
theory for various values of the attack angle between the wave vector and the
|
magnetic eld. We note that in three dimensions, where the magnetic eld, wave
|
vector, and gravity are not all co-planar, strong coupling to the A
|
v en wave also
|
occurs (Cally & Goossens 2008).22 Gizon, Birch & Spruit
|
Numerical simulations are an important tool to study waves in magnetized
|
regions and sunspots. Two dierent approaches are employed. The rst ap-
|
proach is numerical simulations of wave propagation through prescribed back-
|
ground models (e.g. Cally & Bogdan 1997; Cameron, Gizon & Daiallah 2007;
|
Hanasoge 2008; Khomenko & Collados 2006; Parchevsky & Kosovichev 2009).
|
This approach permits the study of wave propagation without the complications
|
of solving for convection and it gives the freedom to choose various background
|
models. Typically, these codes solve the equations of motion for small-amplitude
|
waves. The second approach is realistic numerical simulations of magnetoconvec-
|
tion (e.g. Rempel et al. 2009). Such simulations include self-excited waves and
|
aim at simulating realistic solar active regions. This approach is very promising,
|
but computer intensive.
|
Figure 11 shows an example calculation of the propagation of a p 1wave packet
|
through a simple sunspot model using the three-dimensional code of Cameron,
|
Gizon & Daiallah (2007). This example shows that the transmitted wave packet
|
is phase-shifted by the sunspot (increased eective wave speed) and has a reduced
|
amplitude compared to the quiet-Sun value. Also seen is the partial conversion
|
of incoming p modes into downgoing slow modes. This process is responsible for
|
absorption of acoustic energy by sunspots (Cally & Bogdan 1997, Crouch & Cally
|
2005, Spruit & Bogdan 1992, and Section 6). An f mode wave packet is aected
|
in a similar fashion (Cally & Bogdan 1997; Cameron, Gizon & Duvall 2008).
|
The problem of inferring the subsurface structure and dynamics of solar active
|
regions is a dicult one. In principle, standard linear inversions cannot be used
|
because surface magnetic perturbations are not small with respect to a quiet Sun
|
reference model. No non-linear inversion has been implemented yet. Instead
|
there have been attempts to construct simple parametric models of magnetic re-
|
gions, which have a helioseismic signature that is consistent with the observations.
|
This approach does not require that perturbations be small. Forward models of
|
sunspots have been proposed by, e.g., Crouch et al. (2005) and Cameron, Gizon
|
& Duvall (2008); they will be discussed in more detail in Section 6.4.
|
Now that we have some understanding of the methods of local helioseismology
|
and their diagnostic potential, we turn to a description of the main observational
|
results: near-surface convection (Section 5), sunspots (Section 6), extended
|
ows
|
around active regions (Section 7), global scales (Section 8), farside imaging (Sec-
|
tion 9), and
|
are-excited waves (Section 10).
|
5 NEAR-SURFACE CONVECTION
|
5.1 Supergranulation and Magnetic Network
|
Solar supergranules are horizontal out
|
ows with a typical size of 30 Mm, outlined
|
by the chromospheric network (e.g. Leighton, Noyes & Simon 1962). They haveLocal Helioseismology 23
|
horizontal velocities of order 200 m s 1and lifetimes of one to two days.
|
Duvall et al. (1997) found that p-mode travel times contain information at
|
supergranular length scales ( Figure 7 ). As a demonstration of this, the line-
|
of-sight component of velocity, estimated from the travel times assuming that
|
vertical motions are negligible, was found to be highly correlated with the time
|
averaged Dopplergram, thus conrming that local helioseismology is capable of
|
probing convective
|
ows at supergranulation length scales. Duvall & Gizon (2000)
|
extended the analysis to f modes to infer horizontal
|
ows within 2 Mm below the
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.