Up: Inversion of polarimetric data
In this section we derive the kernels for the case when one star is
partially eclipsed by another (a future
paper (Coleman et al. in preparation) will discuss the case of a gravitational lens). The
geometry of this situation is as shown in Fig. 1.
![\begin{figure}
\centering
\includegraphics[width=7cm]{ds6149f1.eps}\end{figure}](/articles/aas/full/1998/13/ds6149/Timg49.gif) |
Figure 1:
The eclipsed star has radius 1, and the
occultor radius . are polar coordinates in the
projected plane of the source, and are the
coordinates of the centre of the occultor; both and are
taken from the radius which touches the point of closest approach.
When the centres of the two stars are a
distance s apart, the occultor cuts off an angle of an
annulus of radius r, centred on the eclipsed star |
We can take the occultor to be opaque, so
that its "transfer function'' A0(r0), where r0 is the
(projected) radius from the centre of the occultor , is
|  |
(14) |
This makes
, the kernel in terms of r, a function of
. In terms of i(r), the intensity of the star as a
function of (projected) radius, the total flux from the eclipsed
star is
|  |
(15) |
Thus define
, so
that
|  |
(16) |
putting Eq. (15) into the form of Eq. (4).
It is easy to see that
. Writing
we find that
|  |
(17) |
We can now write
|  |
(18) |
defined for
.
The calculation is a little more intricate for the Stokes parameters.
The light from each point on the star's disk must be linearly
polarized in the tangential direction. Using the angle
defined
in Fig. 1, the Stokes
parameters must therefore be
and
, for some function
P(r) which we wish to recover (note that we use the unnormalised
Stokes parameters, since the normalised ones have contributions to the
noise from the intensity as well as the polarization measurements). Defining
|  |
(19) |
we therefore find that the total polarized flux in the Q direction,
measured when the centres are a distance s apart, is
|  |
(20) |
and similarly for
and
. This is now in the form of Eq. (4).
Setting
,
we can thus see that
|  |
|
| (21) |
| |
| (22) |
These kernels are broad and smooth, hence the ill-conditioning of the
inverse problem.
Up: Inversion of polarimetric data
Copyright The European Southern Observatory (ESO)