The cluster finding method we adopted is based on optical counts of galaxies in cells, followed by a smoothing of these counts with a Gaussian function and by the definition of a detection threshold for the selection of significative excesses in the surface galaxy density. The density peaks that are found near an optically identified NVSS radio source are included in the cluster sample.
Both to keep in evidence any possible inhomogeneities in optical counts and to
make the data handling easier, we divided the EDSGC galaxies brighter than
in 21 adjacent sky maps corresponding to the
central regions of the UKST plates that cover the radio
source catalogue area.
The detection threshold is built in terms of the mode and rms of galaxy counts over each of these sky regions. Despite the possibility of small intra-plate variations in the photometric accuracy of the optical data, we considered the choice of a "local'' threshold for each plate preferable to a "global'' one, over the whole sky region, as the latter choice would introduce in the cluster sample incompleteness effects that depend on the cluster location in the sky.
The optical count matrix for each
sky region has been
built by defining a regular grid of
cells and by counting
galaxies in these cells.
The size of each cell has been chosen to be
,
to
optimize the statistics of galaxy counts as well as to point out the presence
of structure in the spatial distribution of galaxies.
Since radiogalaxies tend to reside in different environments - from groups of
galaxies to rich clusters - depending on their Faranoff-Riley morphological
classification (Zirbel 1997), a careful choice of the size for the
smoothing function is needed to avoid selection effects in favour of a
particular environment.
Too large a size could translate into a lack of detections of distant clusters,
whose angular sizes are small. A small size could resolve a nearby cluster in
many substructures, thus leading to the spurious detection of many candidates
relative to the actual cluster, or, if the optical surface density
excess in each substructure is less than the selected threshold (see below),
could lead to a lack of detections. This last case is the most likely for
clusters at moderate z having irregular morphologies, like the Abell I types
(Abell 1958), where subclumps in the galaxy distribution are seen.
Given the redshift range we expect to cover with our cluster sample, we decided
to adopt, for the smoothing of the optical counts, a circular Gaussian function
of
,
which is about half an Abell radius at z=0.4.
![]() |
Figure 1:
Smoothed matrix of the optical counts corresponding to the
![]() ![]() ![]() |
We then looked for significative excesses in the optical surface galaxy
density: for each smoothed matrix, we determined the mode
and
rms
of the optical surface density.
The threshold we adopted for the detection of density excesses is defined on
each smoothed plate in terms of
and
as
,
that is we
consider significative only those peaks where the galaxy surface density
exceeds by at least
the value of the mode determined
over the whole plate.
This choice can introduce selection effects in favour of "core-dominated'',
regular clusters, and against irregular ones, where galaxies are less
concentrated in the cluster core itself.
Finally, from this list of significant peaks we selected only those for which a
radiogalaxy belonging to the considered smoothed matrix is found at a maximum
distance of
from the density peak position.
To determine the list of density peaks, no constraint has been set on the
number of connected cells above the threshold. Radiogalaxies themselves are not
required to belong to pixels whose optical surface density is above
.
Given the definition of the Abell radius,
,
this search distance corresponds to the
Abell radius of a cluster at
.
In the case of nearer clusters, this choice will favour the selection of those candidates where the radiogalaxy is located in the central region of the cluster. A larger value of the search distance would however increase the probability of detecting spurious associations between density peaks and radiogalaxies.
In Fig. 1 we show as an example the smoothed matrix relative to
the UKST plate 412: regions with higher surface galaxy density are represented
by increasing grey levels; the superimposed contours are given as
above
.
The 44 radiogalaxies having
and
present in this sky region are shown as well,
marked with diamonds, except for the two associated with a known candidate
cluster (see Sect. 4), that are marked with an asterisk.
The 13 radio-optically selected cluster candidates are marked as small
circles around the position of the associated radiogalaxy.
For clarity, only the ACO/Abell and EDCC clusters found in this sky region
are plotted in Fig. 1: they are marked with big circles, whose
radius is equal to the cluster Abell radius.
The fact that the clusters A2878, 2904 and E536 do not seem very conspicuous in
this galaxy density map can be explained in terms of the different optical data
set and the different scale used by Abell et al. (1989) and Lumsden et al. (1992) to look for overdensities in the galaxy distribution.
Copyright ESO 2001