Astron. Astrophys. 324, 298-310 (1997)
3. The inversion method
The problem of inverting Eq. (2) is intrinsically an ill-posed
problem because of its global (or integral) nature (e.g. Craig &
Brown 1986). Furthermore this is strengthened in the helioseismic case
because of the lack of modes able to sound the deepest and shallowest
layers of the Sun: only a small percentage of the observed p-modes
have their corresponding rotational kernels Eq. (3) with
significant amplitude below or with their lower
turning point between and the surface (see
Fig. 1). Then the solution is not well constrained at these
depths and the global nature of the problem implies that this leads to
difficulties in the whole domain and that there is no unique solution
for the problem.
![[FIGURE]](img44.gif) |
Fig. 1. diagram showing the modes included in the LOWL 2 year dataset. Solid lines indicate the values of that correspond to modes with turning points =0.4, 0.85, 0.95 from the left to the right.
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In order to discretize Eq. (2), we project the unknown
rotation rate on a tensorial product of B-splines (see
Appendix A):
![[EQUATION]](img46.gif)
Then, we apply a regularized least-squares method on values of both
observed splittings and observed surface rotation in order to find the
set of coefficients . The aim of regularization
is to stabilize the inversion process by ruling out rapidly
oscillating solutions which are physically unacceptable.
In our inversion we adopt a Tikhonov regularization method
(Tikhonov & Arsenin 1977) by solving:
![[EQUATION]](img48.gif)
where is the least-squares term (see
Appendix B for details) and is of the
form:
![[EQUATION]](img51.gif)
with:
![[EQUATION]](img52.gif)
This can be regarded as a measure of smoothness of the rotation
. The functions and
are used to assign different weights to the
smoothing terms for different positions r and µ.
It should be noticed, however, that well chosen functions together
with first derivatives ( ) can lead to the
definition of flatness given by Sekii (1991): .
The choice of the so-called trade-off parameters
and depends on the data
from which we perform the inversion and is discussed in the next
section.
Finally, let us define the which
characterizes how the observed splittings are approached by the
solution :
![[EQUATION]](img61.gif)
This value corresponds to the first term in the sum that defines
Eq. (B2).
© European Southern Observatory (ESO) 1997
Online publication: May 26, 1998
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