Starting from the colour-magnitude diagram Fig. 6 we selected
the population of extremely red objects or EROs. To give a very
conservative estimate of the surface density of those objects,
we applied additional selection criteria to candidates from
Fig. 6. With
we avoid any kind of false or
spurious detection in the K-band. Only matches with a separation less than
1 arcsec from K- and R-band objects are accepted for EROs (as compared
to 2'' for Fig. 6). This criterion rejects matches between
one object from close, but resolved, object pairs in R and their combined,
unresolved counterparts in K. Such constellations are caused by the
large pixel size and resolution in K and redden the objects systematically.
Since the merged K-object has a different position with respect to
both single objects in R, the stronger criterion concerning separation
efficiently removes such mismatches. In R we accepted for the EROs
every object as counterpart, in contrast to Fig. 6
where only sources with
were considered.
While this might result in matches with non-existing sources in R,
no false EROs are produced since the R-K colour of a solid detection
in K can only become bluer. Finally, both authors individually
checked the ERO candidates for signs of errors in detection, photometry
and matching of the counterparts in R and K. Only objects confirmed
by both authors are considered as EROs.
As R-dropouts, objects which only have a lower limit in their R-K-colour
we considered only objects with
.
To test for errors the
objects were individually checked on the K-images.
Figure 8 shows the colour-magnitude diagram of the EROs in
our survey. Unfortunately the threshold for EROs in R-K is not
very well defined, and the values vary from R-K > 5.0(Cimatti et al. 1999) to R-K > 6.0 (Thompson et al. 1999).
Therefore all objects with R-K > 5.0 are included in Fig. 8.
ERO objects without detection in R (R-dropouts) are included with their
lower limit in
(computed via
)
in
Fig. 8.
In Table 9 we give the surface density of the our EROs
for different limits in K-magnitude as well as colour R-K.
Only EROs in sub-surveys complete down to the K-limit specified in
the first column of Table 9 are taken to compute the surface
densities. The area of those sub-surveys is given in the last column
of Table 9 (see also Paper I).
The R-dropouts were taken with their respective
to compute the
surface densities in Table 9. The number of R-dropouts
is given in Table 9 within parentheses.
Only 11 EROs out of the 146 from Fig. 8 are bright enough to allow a reliable morphological classification in R. While the only extended object is marked with a filled square, the point-like sources are given as filled triangles.
The two main contributors to our EROs-population are late type stars and
galaxies at high redshift (z>0.8). As the available information on
morphology suggests, the bright end is dominated by stellar objects.
According to Leggett (1992) a colour
is expected for stellar types M 6 and later. With typical absolute magnitudes
of
and
for M 6-dwarfs and
L-dwarfs, respectively (see Leggett 1992; Reid 1999)
and we detect these objects out to a distance of
and
.
The surface density of extragalactic EROs at the depth of our
survey is completely unknown. Thompson et al. (1999) give a surface
density of
down to
.
This is more than 5 times higher than our value at R-K>6.0 for
the total population at our limit
.
The high surface density of
as given by
Eisenhardt et al. (1999) in their sample down to
gives clues to a fast decline of the density
towards brighter magnitudes. Therefore only a few out of the 16 objects
in the reddest and deepest interval of Table 9 might be of
extragalactic origin. Deeper studies of the red population would require data
with both better spatial resolution and wavelength coverage.
mag |
![]() |
![]() |
![]() |
area [deg]2 |
K<15.0 | 0.09 | 0.06 | 0.03 | 0.93 |
K<16.0 | 0.21 | 0.09 | 0.03 | 0.93 |
K<17.0 | 1.43(1) | 0.43(1) | 0.21(1) | 0.91 |
K<17.5 | 5.46(7) | 1.91(4) | 0.91(3) | 0.61 |
Copyright ESO 2001