2. The sample
The present work is based on a redshift catalogue involving the
central regions of 15 clusters of different richnesses in the redshift
range 0.01 z 0.06 (Paper I). Note that several of the clusters are well studied, nearby objects
like Centaurus and Abell 400 or have been extensively observed for
specific purposes (e.g. Abell 3558: Bardelli et al. 1994). Inside
these regions nearly complete (80%) redshift information down to
could be obtained, as well as raw morphological types for most of the
galaxies. The present sample differs from those of previous
investigations because it concentrates onto the very cores of the
clusters (R 0.5 h-1 Mpc), and because
of the homogeneity of kinematical information.
A common selection radius of 0.5 h-1 Mpc around each cluster centre was therefore chosen, using approximate mean cluster velocities and assuming all clusters to be located in the Hubble flow. For Hydra and Centaurus (z 0.01) two adjacent fields had been taken, and for the other very nearby clusters data from the literature was available to help fill the region.
Table 1 lists the fields and also gives the name of each cluster around whose centre the selection has been done (2), kind of center determination (3), where X: X-rays, cd: cd-galaxy position, A: Abell center, O: center of Optopus field, as well as centre coordinates (4), and selection radius in arcminutes (5).
Table 1. Cluster sample
2.1. Membership selection
As a first step towards meaningful cluster definitions, we then looked at velocity histograms in the direction of all 15 fields, eliminating obvious (5 ) fore- or background galaxies. In one case (field 12) two distinct structures could be identified: the main cluster at v = 4500 km s-1 and a smaller group at v = 11000 km s-1. Moreover, some non-gaussian velocity histograms with indication of bimodality could be recognized. A statistical test was thus applied which returns the likelihood that the biggest gap in the dataset could occur in a normal distribution (adapted from the ROSTAT package, Beers et al. 1990). Only in the case of field 9 a gap was found whose size was inconsistent at the 5% level with an underlying gaussian distribution. Field 9 was thus considered bimodal and subdivided at v = 11500 km s-1, the big gap location. To assess final cluster membership, a 3- clipping technique (Yahil & Vidal 1977) was then applied to each of the 17 galaxy units recognized so far. Table 2 lists the number of member galaxies after 3- clipping (column 3), as well as the resulting limits in redshift space (4).
Table 2. Redshift ranges and kinematical parameters
Mean cluster velocities and velocity dispersions were then determined for each cluster in the sample, using biweight estimators (Beers et al. 1990). These estimators have the advantage of being robust against outliers and are particularly useful when working with small datasets. Cosmological effects are taken into consideration following Danese et al. (1980). The resulting values and their uncertainties are listed in Table 2, columns 5 and 6.
Our cluster mean velocities and velocity dispersions do agree quite well with those quoted by Struble & Rood (1991) and Girardi et al. (1993). Nevertheless, there are some cases where a discrepancy is found. The reason herefore must be related to the effect of substructures in the central cluster regions, which tend to inflate velocity dispersions, and to the presence of luminous galaxies of low dispersion in the cluster cores (as shown in the next sections). Nevertheless, given that our results are virtually free from larger scale contamination, we consider them good estimators of central mean velocity and velocity dispersion. With the present data it was not possible to discern the bimodal structure of Centaurus using a gapper test. For this reason we give a global value for the mean cluster velocity and for the velocity dispersion. Nevertheless, substructure is detected in this and in some of the other clusters, as we will see below. It may be, therefore, that the kinematic parameters given in Table 2 do not reflect the true dynamical state in 50% of the cases. They should be treated as first estimations and were calculated because a measure for the cluster dispersion is needed for the Lee-test simulations (see below).
Some of the galaxy samples are clearly too poor to be used for the substructure analysis and have to be discarded. Computation of the Dressler & Shectman (1988) substructure test requires the evaluation of velocity dispersions from samples of neighbours around each galaxy, where N is the total number of galaxies (Bird 1994). Given that 5 is a lower limit for the determination of standard deviations, we chose a number of galaxies as the minimum richness.
2.2. Photometric data
As we wanted to look at dynamical friction effects, luminosity
information was necessary. For three of the clusters detailed
photometrical studies could already be found in the literature: A 3526
= Centaurus by Dickens et al. (1986), A S 805 by Millington &
Peach (1989) and A 4038 by Green et al. (1990). In addition,
magnitudes from the COSMOS catalogue were
kindly provided by H. MacGillivray (1993) for ten clusters of
high galactic latitude. Given the selection of high latitude clusters
no correction for reddening or extinction was applied.
2.3. Morphological data
Galaxy types were searched for in the literature, mainly resulting in a sample from Dressler's (1980) and UGC (Nilson 1973) catalogues, as well as from Huchra's (1991) collection, as implemented in the DIRA2 database (Astronet Data Base Group Italy, Bologna). All galaxies were then divided into three classes: E, S0 and S. In addition, many of the remaining galaxies were classified by the author into one of the above classes, after visual inspection of ESO-Schmidt plates. Because careful classification is difficult on this kind of plates, a check was made involving 105 galaxies with independently known types. Of these, 15 were classified by the author with an "earlier" type and 13 with a "later" type than literature values, corresponding to an agreement of around 75%.
© European Southern Observatory (ESO) 1997
Online publication: July 8, 1998