Radio galaxies have now been found out to redshifts of z=5.19 (van Breugel et al. 1999b)
and radio-loud quasars out to z=4.72 (Hook & McMahon 1998). Although new optical
selection techniques such as color-dropouts, deep spectroscopy of blank fields, and narrow-band Ly
imaging have now found galaxies at similar (Steidel et al. 1999) and even higher redshifts
(up to
;
Dey et al. 1998; Weymann et al. 1998; Spinrad
et al. 1998, Hu et al. 1999), radio sources are still the only objects that can be
selected uniformly over all redshift ranges, and in a way that does not suffer from optical biases such as
dust extinction, which is known to be important at these high redshifts (e.g. Hughes et al.
1997; Ivison et al. 1998; Dickinson 1998).
At low to moderate redshift (
), powerful radio sources are uniquely identified with massive
ellipticals (Lilly & Longair 1984; Owen & Laing 1989; Best et al.
1998; McLure & Dunlop 2000). The strongest indications that this is also true at
higher redshifts comes from the near-IR Hubble K-z diagram of radio galaxies which shows a remarkably
close correlation from the present out to z=5.19 (Lilly 1989; Eales et al.
1997; van Breugel et al. 1998; van Breugel et al. 1999b). This
suggests that we can use radio galaxies to study the
formation and evolution of the most
massive galaxies, which, by their implied star-formation history, can put important constraints on galaxy
formation models, and even on cosmological parameters (e.g. Dunlop et al. 1996;
Spinrad et al. 1997). Although the unification model for radio galaxies and quasars (e.g.
Barthel 1989) suggests we could also use quasars as tracers, a detailed stellar population
study of quasar host galaxies is almost impossible due to the extreme luminosity of the AGN. Furthermore,
samples of radio sources designed to find large quantities of quasars require additional optical
selections (e.g. Gregg et al. 1996; Hook & McMahon 1998; White et al.
2000).
![]() |
Figure 1:
![]() ![]() |
Considerable effort has been spent over the last decade to find these high redshift radio galaxies
(HzRGs), which has lead to the discovery of more than 140 radio galaxies at redshifts z>2 (see e.g.
De Breuck et al. 1998a for a recent summary). However by z>3, their numbers become
increasingly sparse, and using flux limited radio surveys such as the 3CR (
S178 > 10 Jy; Laing
et al. 1983), or the MRC strip (
S408 > 0.95 Jy; McCarthy et al. 1996), the
highest redshift radio galaxy found so far is at
(Fig. 1; Rawlings et al.
1990; McCarthy et al. 1996). This redshift limit arises because radio power is
correlated with redshift in bright flux limited samples, and an upper limit exists in the radio
luminosity. Lowering the flux limit would not only substantially increase the number of sources in these
samples, but at the same time the fraction of luminous very high redshift radio galaxies would decrease
(Blundell et al. 1998; Jarvis et al. 1999). This fractional decrease would
arise even if there is no decrease in co-moving space density at
.
Such a redshift cutoff has
been suggested by
Bremer et al. (1998), but recently
Jarvis et al. (1999)
rule out a break at
.
To efficiently find large numbers of HzRGs in acceptable observing times, it is therefore necessary
to apply additional selection criteria, at the expense of completeness.
By far the most successful selection criterion has been the ultra steep spectrum criterion (e.g.
Röttgering et al. 1994; Chambers et al. 1996a; Blundell et al.
1998). Selecting sources with very steep radio spectra increases dramatically the chance of
finding z>2 radio galaxies (Fig. 1). This technique is based on the results of
Tielens et al. (1979)
and
Blumenthal & Miley (1979), who found that the identification fraction on the POSS
(
)
decreases with steepening spectral index, consistent with the steeper sources being at
higher redshifts. It is now getting clear that this correlation can be explained by a combination of a
K-correction of a concave radio spectrum and an increasing spectral curvature with redshift (Krolik
& Chen 1991; Carilli et al. 1998; van Breugel et al. 1999a). To
further investigate the
correlation, we have calculated spectral indices using the flux
densities from the WENSS (Rengelink et al. 1997) and NVSS (Condon et al. 1998)
catalogs for four different samples: the flux density limited 3CR (Spinrad et al. 1985) and
MRC (McCarthy et al. 1996) surveys, and the USS samples from the 4C (Chambers et al.
1996a) and the one presented in this paper. The results (Fig. 1) show a trend for
steeper spectral index sources to have higher redshifts in flux limited, spectrally unbiased samples,
confirming the empirical relation out to the highest redshifts. The efficiency of the USS criterion is
clearly illustrated by the fact that the 4C USS sample (Chambers et al. 1996a) contains
50% z>2 sources, and by the early spectroscopic results on the USS samples presented in this paper,
which indicate that
2/3 of our sources have z>2. It is even more impressive to note that 13 of the
14 radio galaxies at z>3.5 we know of have been found from samples with a steep spectral index
selection
!
The limitation of this technique is that the steepest spectrum sources are rare, comprising typically only
0.5% (at
)
of a complete low frequency sample; therefore, large and deep all sky surveys
are needed to obtain a significant sample of USS sources.
With the advent of several new deep all-sky surveys (Sect. 2), it is now possible for the first time to
construct a well defined all-sky USS sample with optimized selection criteria to find large numbers of
z>3 radio galaxies. In this paper, we describe the construction of such a sample, and present high
resolution radio observations needed to determine accurate positions and morphologies. This information is
essential for the optical and near-IR identifications, and subsequent optical spectroscopy of a
significant sub-set of our sample, which will be described in future papers. The organization of the
paper is as follows: we describe the radio surveys we used in Sect. 2 and define our samples in Sect. 3.
We present and discuss our radio observations in Sect. 4, and present our conclusions in Sect. 5.
WENSS | TEXAS | MRC | |
Frequency (MHz) | 325 | 365 | 408 |
Sky region (J2000) | ![]() ![]() |
-35
![]() ![]() ![]() |
-85
![]() ![]() ![]() |
# of sources | 229576 | 67551 | 12141 |
Resolution |
![]() ![]() ![]() |
10
![]() |
![]() |
Position uncertainty | 1
![]() |
0
![]() ![]() |
8
![]() |
(strong sources) | |||
RMS noise | ![]() |
20 mJy | 70 mJy |
Flux density limit | 18 mJy | 150 mJy | 670 mJy |
Reference | Rengelink et al. 1997 | Douglas et al. 1996 | Large et al. 1981 |
NVSS | FIRST | PMN | |
Frequency (MHz) | 1400 | 1400 | 4850 |
Sky region (J2000) |
![]() ![]() |
![]() ![]() ![]() ![]() |
-87
![]() ![]() ![]() |
![]() ![]() ![]() ![]() |
|||
# of sources | 1689515 | 437429 | 50814 |
Resolution | 45
![]() ![]() ![]() |
5
![]() ![]() ![]() |
4
![]() |
Position uncertainty | 1
![]() |
0
![]() |
![]() ![]() |
(strong sources) | |||
RMS noise | 0.5 mJy | 0.15 mJy | ![]() |
Flux density limit | 2.5 mJy | 1 mJy | 20 mJy |
Reference | Condon et al. 1998 | Becker et al. 1995 | Griffith & Wright 1993 |
a The Texas interferometer has a complicated beam. However, sources with separations
between 10
and 2
can be successfully modeled as doubles, and will have a single entry in
the catalog. See Douglas et al. (1996) for details.
b Some small gaps are not covered. They are listed on the NVSS homepage (1998 January 19 version).
Copyright The European Southern Observatory (ESO)