Figure 2 shows the observed spectral lines. The "+''-symbol corresponds to the mean
spectrum of normal granulation in the data set. The spectrum represented
by the "''-symbol is based on the atlas profile, adapted to
the spectral resolution of TESOS. The distance between two
"
''-symbols corresponds to the selected step size used for
the observations.
The comparison between the observed and the "simulated'' profile
demonstrates the high spectroscopic quality of our G-band data.
TESOS obtains 2D-spectra by scanning through the spectral line. Since the
images are not taken simultaneously the line profiles are influenced by seeing
effects. As described by Schlichenmaier & Schmidt (2000), the variable seeing
conditions can induce shifts of the line profiles. This is a potential
error source when calculating e.g. velocity maps from the
data.
Figure 3 shows the rms-intensity contrast for the broadband
channel during the scan as a function of time. The rms-intensity contrast
is calculated in each frame in a region of normal granulation, located
in the upper right corner of the field of view, as indicated in
Fig. 1.
The contrast is varying between 5 and 6.8% (rms). On average the seeing
conditions during the Fe II-line scan are better than for the CH-line
scan.
![]() |
Figure 3: The solid curve represents the course of rms-intensity contrast of normal granulation (see Fig. 1) in the broadband channel during the scan. The dashed line shows the mean intensity in normal granulation of the filtergram channel. The given wavelength range corresponds to the 34 steps of the scan. |
In a next step we calculate maps (line core intensity, velocity, etc.)
from this synthetic scan.
An example of a resulting error map is shown in Fig. 4 to the
right. The image visualizes the error due to seeing for the
velocity map (Fe II-line, Fourier method).
In the example the rms-value of the map is 26 m s-1 and the maximum
deviation amounts to 215 m s-1 (peak-to-peak).
The spatial error is not distributed homogeneously. However, the
rms-value of these maps provides a good estimation of the
error due to seeing variation. Compared to the seeing error, numerical
errors - as they occur e.g. at line shift determination - are
negligible. In the following analysis we give the
-level based on this rms-calculation.
Copyright ESO 2002