Label | Explanation |
Seq | Sequential number |
RA | Right ascension (J2000), internal accuracy
![]() |
DE | Declination (J2000), internal accuracy
![]() |
![]() |
Aperture magnitude, scaled to total flux for stars |
![]() |
Mean error (sigma) of
![]() |
![]() |
Aperture magnitude, scaled to total flux for stars |
![]() |
Mean error (sigma) of
![]() |
![]() |
Aperture magnitude, scaled to total flux for stars |
![]() |
Mean error (sigma) of
![]() |
![]() |
Estimated correction from aperture to total mag. |
The object catalogue derived from the observations presented contains
positions and BVR photometry of 63501 objects selected in R
within a field of
size. The depth and the seeing
quality of our R-band imaging makes this catalogue potentially very
useful for the scientific community. Therefore, the catalogue (format see
Table 2) is available to the public at Centre de Données astronomiques de
Strasbourg (CDS, http://cdsweb.u-strasbg.fr/ cgi-bin/qcat?J/A+A/377/442) and
on the COMBO-17 survey
homepage at MPIA (http://www.mpia.de/ COMBO/). In the following we discuss
data quality issues and present a first sample of variable objects identified from
the two epochs of R-band observations.
The quality of our photometry differs for point sources and extended sources. Essentially, it is a seeing-adaptive central surface brightness measurement giving accurate fluxes for point sources while underestimating the total flux of extended sources. But since it is performed on the individual frames in an optimal seeing-adaptive fashion, it yields more accurate colors and estimates the errors more realistically than measurements on a single co-added frame.
![]() |
Figure 4:
R-band histogram of objects with errors of ![]() ![]() ![]() |
Figure 3 shows the photometric errors versus magnitudes of
all objects we measured at less than
error. The photon noise limit
can be seen as a sharp parabolic edge to the right of the object clouds.
We use magnitude histograms of objects with errors of
10% to assess
a representative 10-
magnitude limit for point-source photometry. In Fig. 4 we
can see that all R-band images combined reach
which is
.
![]() |
Figure 5: Distribution of aperture correction magnitudes versus R magnitude. Stars are at zero level while extended objects reach down to negative values. |
However, the fluxes of extended objects are approximated by an aperture correction.
The median correction among extended objects amounts to
(see Fig. 5).
Figure 6 shows a number counts histogram for the aperture magnitude
as well as for the corrected total magnitude excluding point sources at R<23.
The counts in aperture magnitude suggest that our object list is at least complete
to R>25 in terms of point-source photometry. The counts of total magnitude suggest
completeness among galaxies provided to at least
.
With a slope of
0.39 the counts are consistent with galaxy counts from the literature.
However, a detailed discussion of the counts is beyond the scope of this paper.
We checked our flux calibration by comparing measured colors of stellar
objects with those predicted by synthetic photometry. We convolved the
Pickles (1998) library of stellar spectra with the total efficiency curves
of our filters and plotted their B-V and V-R colors as black dots in
Fig. 7. Our own point sources are overplotted as grey dots and
agree with the expected colors without any further correction. Shown are
photon count color indices in units of
defined by Wolf et al. (2001b).
As a physical magnitude definition besides
and
the
is
![]() |
![]() |
(1) | |
![]() |
We note that most stars observed in our field belong to the halo
population, while most stars in the Pickles library are nearby stars
from the disk population. The populations form two arms that are
separated for G/K stars (
)
and have
quite different relative population densities in the data and the library.
We also note a few blue objects off the main sequence, which
are most likely quasars passing the purely morphological selection used here.
Copyright ESO 2001