The GCA X-ray source analysis returns two source quality parameters,
the spectral hardness ratio and the source extent. These two parameters
are not used for the selection of the candidate sample. We have
only used this information in conjunction with optical data
as a justification to remove a number of obviously contaminating
sources. Therefore the distribution of these source properties
gives a practically independent information on the nature of the REFLEX cluster
sample and it is interesting to study them in comparison to
the properties of the non-cluster sources. (The results for the
spectral hardness ratios are used here in comparison to the expected
values that can be well calculated for cluster type spectra (5 keV)
and given interstellar HI column density in the light of sight.
The parameter quoted is the difference between the measurement
and the prediction in units of
of the measurement uncertainty).
In Fig. 27 we show
the distribution of the two X-ray parameters for the 452
REFLEX clusters. The figure also shows the boundaries used
for the decision as dotted lines: a source is considered to
be very likely extended if it has a Kolmogorov-Smirnov probability
of less than 0.01 (
); and a deviation from the expected
hardness ratio of more than 3
(to the soft side)
is considered as an
argument against a cluster identification. Based on these cuts
we find that 81% of the REFLEX clusters feature an X-ray
source extent. (This sample fraction of course depends on the
threshold value used in the KS-test. For a less stringent threshold
value of 0.05 for the probability of a source to be point-like
we could characterize more than 90% of the sources as extended.
The merits of relaxing the threshold condition are currently tested
with Monto Carlo simulations and will be described in a following paper.)
How the non-extended sources and their
fraction as compared to the REFLEX total are distributed
in redshift is shown in Fig. 26. While among nearby
objects only for a very small number of groups no significant
extent was found, the extent fraction is increasing clearly
with redshift. At high redshifts, where only the most
luminous clusters are found, still more than half of the
clusters feature a measurable extent.
Only 6% of all the sources have an observed
spectral parameter which appears too soft (Fig. 27).
This is a small
failure rate which is partly due to statistical fluctuations,
possibily due to an inaccurate acount of the interstellar
absorption for some of the sources, and also partly due to
the contamination of an AGN in the cluster for some of these
few sources. But since the overall deviation is only significant
for 6% of the sources the contamination by AGN which might
be indicated here is not a problem for the statistical use
of the overall sample.
It is interesting to compare these source parameters with
those for non-cluster sources. In Fig. 28 we show the distribution
of the hardness ratio deviations and the source extent probabilities
for the sample of 221 cluster candidates flagged by the galaxy counts
but excluded from the sample in the subsequent identification
process. (Note that this sample has some bias in comparison
to a random non-cluster sample since e.g. (i) in some cases the optical
selection may be due an extended object falsely split up into galaxies
(ii) contaminating sources may be preferentially recognized if
they have a soft spectrum).
There is a large fraction of much softer sources.
About 13% percent feature an apparent extent, however
(after a few spurious sources located at exposure edges were
removed).
This is more than the failure rate typically found in the
analysis of a test sample of already identified AGN
which are known point sources and the statistics of the falsely
flagged extended sources shown in Sect. 8 (<6%).
The higher rate of detection
of extended sources among these non-cluster sources as compared
to the false classification rate found in Sect. 8 is partly
due to really extended
X-ray emission from nearby galaxies and due to close, blended
double sources. The latter two source types are easily
recognized by inspection and therefore the actual false
classification rate of point sources as extended including
the inspection is at most about half of these 13%.
![]() |
Figure 28: Hardness ratio deviation and extent probability distribution of stars and AGN excluded from the REFLEX sample clusters |
We can use the difference in the spectral hardness ratio distribution of the two samples of cluster and non-cluster sources to test for the possible contamination of the REFLEX cluster sample by AGN which are producing the dominant X-ray emission in a cluster. First of all the high fraction of extended sources guarantees that the emission of most of these 81% of the X-ray sources is extended emission from the intracluster medium of a cluster. The question is more critical for the non-extended sources. One way of checking the AGN contamination among them is to make a statistical comparison between the spectral parameters of the extended and non-extended cluster sources in REFLEX. This is done in the form of histograms for the deviation of the measured and expected hardness ratio for the two REFLEX subsamples in Fig. 29. We note that the two distributions are very similar, quite in contrast to the very different distribution of the non-cluster sources shown in the same figure. Thus there is no indication that the point-like REFLEX clusters are spectrally significantly different from the extended ones.
This can be more critically tested with cumulative and normalized plots of
these same distributions as shown in Fig. 30. Here we note again the
similarity of the distributions for the two REFLEX subsamples. They have
the same median and the only difference is a slightly broader distribution
for the extended cluster sources. We noted this behaviour already for the
NORAS cluster sample (Böhringer 2000) and it is most probably due to
the fact that the extended sources contain many more photons on average
and therefore systematic deviations play an increasing role compared
to the pure photon statistics which is the only aspect included in the
error calculation. The non-cluster sources labeled c have a completely
different distribution. To test the sensitivity of this comparison
we have artificially contaminated the point-like X-ray source cluster
sample by 20 randomly selected non-cluster sources. The resulting
distribution function is labeled with an asterisk in Fig. 30. This
sample is significantly different from the cluster distribution
and such a deviation would easily be recognized. Thus the contamination
in the total sample as introduced by the false identification
of non-extended REFLEX sources is less than 4%.
To this we have to add the possible contamination in the sample
of extended sources which could in principle be due to non-cluster
sources falsely flagged as extended. Making the following very extreme
assumptions: (i) there are as many non-cluster sources as cluster sources
in the candidate sample, (ii) the false classification rate is as high
as 6% as found in Sect. 8, (iii) all these falsely classified objects
have escaped our careful inspection in the sample cleaning process,
we find an upper limit for the possible contamination of this
part of the sample of less than 5%. Therefore
the overall contamination cannot be larger than
9% and is probably much less.
Copyright ESO 2001