Issue |
A&A
Volume 495, Number 1, February III 2009
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Page(s) | 37 - 51 | |
Section | Cosmology (including clusters of galaxies) | |
DOI | https://doi.org/10.1051/0004-6361:200810274 | |
Published online | 14 January 2009 |
Anatomy of luminosity functions: the 2dFGRS example
E. Tempel - J. Einasto - M. Einasto - E. Saar - E. Tago
Tartu Observatory, EE-61602 Tõravere, Estonia
Received 28 May 2008 / Accepted 2008
Abstract
Aims. We use the 2dF Galaxy Redshift Survey to derive the luminosity function (LF) of the first-ranked (brightest) group/cluster galaxies, the LF of second-ranked, satellite, and isolated galaxies, and the LF of groups of galaxies.
Methods. We investigate the LFs of different samples in various environments: in voids, filaments, superclusters, and supercluster cores. We compare the derived LFs with the Schechter and double-power-law analytical expressions. We also analyse the luminosities of isolated galaxies.
Results. We find a strong environmental dependency by the luminosity functions of all populations. The luminosities of first-ranked galaxies have a lower limit, depending on the global environment (higher in supercluster cores and absent in voids). The LF of second-ranked galaxies in high-density regions is similar to the LF of first-ranked galaxies in a lower density environment. The brightest isolated galaxies can be identified with first-ranked galaxies at distances where the remaining galaxies lie outside the observational window used in the survey.
Conclusions. The galaxy and cluster LFs can be approximated by a double-power law. The widely used Schechter function does not describe the bright end and the bend of the LFs well. Properties of the LFs reflect differences in the evolution of galaxies and their groups in different environments.
Key words: cosmology: observations - large-scale structure of Universe - galaxies: clusters: general - galaxies: luminosity function - galaxies: formation
1 Introduction
Groups and clusters of galaxies are the most common environment of galaxies. In particular, groups of galaxies are locations of galaxy formation, and their study yields information on the processes of galaxy formation and evolution. Clusters of galaxies form basically by hierarchical merging of smaller units - galaxies and groups of galaxies. In groups and clusters the evolution of galaxies differs from that in low-density regions.
The presence of satellite galaxies around our Galaxy and the Andromeda galaxy was known long ago. Systematic studies of physical groups of galaxies were pioneered by Holmberg (1969), de Vaucouleurs & de Vaucouleurs (1970), Turner & Sargent (1974), followed by Geller & Huchra (1983), Nolthenius & White (1987), Tully (1987), Maia et al. (1989), Ramella et al. (1989), Gourgoulhon et al. (1992), Garcia (1993), Moore et al. (1993), and many others. First large catalogues of clusters of galaxies were constructed by visual inspection of the Palomar Observatory Sky Survey plates by Abell (1958), Zwicky & Kowal (1968), and Abell et al. (1989). More recently clusters of galaxies were also selected using their X-ray emission by Gioia et al. (1990), Ebeling et al. (1996), and Böhringer et al. (2001). Deeper redshift surveys made it possible to construct group and cluster catalogues for more distant objects: e.g., the Las Campanas Redshift Survey was used by Tucker et al. (2000) to construct a catalogue of loose groups. The ''100k'' public release of the 2 degree Field Galaxy Redshift Survey (2dFGRS), described by Colless et al. (2003), has been used to construct several catalogues of groups. Among them, there are the catalogues by Merchán & Zandivarez (2002), by Yang et al. (2005a), and by Tago et al. (2006, hereafter T06). Eke et al. (2004a) used the complete 2dFGRS to compile a sample of about 25 thousand groups and clusters in the two contiguous northern and southern Galactic patches.
One of the principal description functions for clusters and groups of galaxies is the luminosity function F(L) that describes the average number of galaxies per unit volume as a function of galaxy luminosity. The luminosity function (LF) plays an important role in our understanding how galaxies form and evolve (van den Bosch et al. 2003; Cooray & Milosavljevic 2005a; Milosavljevic et al. 2006; Cooray & Cen 2005; Hansen et al. 2007; Yang et al. 2003; van den Bosch et al. 2007; Tinker et al. 2007; Cooray 2006; Tinker & Conroy 2008; Tinker et al. 2005).
The LF of groups of galaxies was first derived by Holmberg (1969),
followed by Christensen (1975), Kiang (1976),
Abell (1977), and Mottmann & Abell (1977). These studies showed that
the LF of galaxies in groups and clusters can be approximated by a
double-power law, the crossover between two powers occurs at a
characteristic absolute magnitude
.
Our interest in the structure of groups of galaxies began with the discovery of dark matter coronas (haloes) around giant galaxies (Einasto et al. 1974a). We noticed that practically all giant galaxies are surrounded by dwarf companion galaxies and that such systems have a certain structure: elliptical companions are concentrated near the dominating (brightest) galaxy, and spiral and irregular companions lie at the periphery of the system (Einasto et al. 1974b). The LF of these systems has a specific feature: the luminosity of the brightest galaxy of the system exceeds the luminosity of all companion galaxies by a large factor, thus the overall relative LF of the system - the conditional luminosity function - has a gap separating the brightest galaxy from companion galaxies (Einasto et al. 1974c). Dynamically these systems are dominated by dark matter, and clear signatures of mutual interactions between galaxies and intergalactic matter in these systems exist, as shown by Einasto et al. (1974b), Einasto et al. (1975), Chernin et al. (1976), and Einasto et al. (1976) (for a review of dark matter around galaxies see Faber & Gallagher (1979)). The morphology-density relation in clusters was investigated by Oemler (1974), Dressler (1980), and Postman & Geller (1984). We see that it is valid also in ordinary groups. In other words, groups of galaxies are not just random collections of galaxies, they form systems with various mutual interactions. The whole system of companion galaxies lies inside the dark corona (halo) of the brightest galaxy and can be considered as one physical entity. To stress this aspect we called such systems hypergalaxies (Einasto et al. 1974c). Our first catalogue of hypergalaxies (groups with a dominating brightest galaxy) was composed by Einasto et al. (1977). In recent years the study of the connection between dark matter haloes and galaxies has made great progress, in particular using the halo occupation distribution model; for details see, among others, Kauffmann et al. (1997), Tinker et al. (2005), Yang et al. (2005a), Zehavi et al. (2005), Tinker et al. (2006), Zheng et al. (2007), and Yang et al. (2008b).
The dominating role of the brightest (first-ranked) cluster/group galaxies was known long ago, for early studies see Hubble & Humason (1931), Hubble (1936), and Sandage (1976). The nature of physical processes which influence the luminosity and morphology of galaxies in clusters (and groups) is also known: tidal-stripping of gas during close encounters and mergers (Spitzer & Baade 1951), ram-pressure sweeping of gas due to galaxy motion through the intra-cluster medium (Chernin et al. 1976; van den Bosch et al. 2008; Gunn & Gott III 1972), galaxy mergers (Toomre & Toomre 1972).
To understand details of these processes it is important to study properties of galaxies in groups and clusters. Indeed, in last years the number of studies devoted to the study of LFs in groups and clusters has increased. We note here the work by Ferguson & Sandage (1988), Ferguson & Sandage (1991), van den Bergh (1992), Moore et al. (1993), Sulentic & Rabaca (1994), Ribeiro et al. (1994), Zepf et al. (1997), Hunsberger et al. (1998), Muriel et al. (1998), Zabludoff & Mulchaey (2000), Popesso et al. (2005), Miles et al. (2004), Miles et al. (2006), González et al. (2005), González et al. (2006), Berlind et al. (2006), Chiboucas & Mateo (2006), Lin et al. (2006), Zandivarez et al. (2006), Adami et al. (2007), Hansen et al. (2007), Milne et al. (2007), Vale & Ostriker (2006), and Vale & Ostriker (2008).
The present analysis has three goals: to determine the LF of group brightest (first-ranked), second-ranked and satellite galaxies; to investigate the nature of satellite and isolated galaxies; and to analyze environmental dependency of galaxy luminosities. As there are no strict differences between groups and clusters of galaxies we shall use the term ``group'' for groups of galaxies as well as for conventional clusters. To derive the LFs we shall use the catalogue of groups and clusters by Tago et al. (T06). This catalogue was prepared using the 2dFGRS northern and southern Galactic patches, similar catalogues have been compiled by Eke et al. (2004a), Yang et al. (2005a), and several other authors. As in all such catalogues, we find a number of isolated galaxies, i.e. galaxies which have no neighbours within the search radius in the flux-limited galaxy survey. We analyse the luminosity distribution of isolated galaxies and show that a large fraction of these galaxies can be considered as brightest galaxies of groups where fainter members of the group lie outside the visibility window of the survey. As a by-product we derive also the LF of groups.
LFs of simulated groups and groups found for the 2dFGRS and the Sloan Digital Sky Survey Data Release 4 have been recently studied, among others, by Mo et al. (2004), Yang et al. (2004), Cooray & Cen (2005), Cooray & Milosavljevic (2005a), Croton et al. (2005), Zheng et al. (2005), Tinker & Conroy (2008), and Yang et al. (2008a). In many of these papers the emphasis has been on explanation of the LF using halo occupation statistics. Our motivation in this paper is mostly observational; we shall study the connection of the observed LF with sub-halo model data in a separate paper (in preparation). Here we shall discuss the nature of second-ranked and satellite galaxies in more detail, and shall search for the dependence of the LFs of the brightest and satellite galaxies on the environment.
The observational data are discussed in the next Section; here we consider also the selection effects and the methods to correct data for selection. In Sect. 3 we calculate the LFs of group brightest, second-ranked, satellite and isolated galaxies. We derive the LFs for different environmental densities. The nature of isolated galaxies is discussed in Sect. 4. The LFs of various galaxy samples and the LF of groups are derived in Sect. 5: here we compare the Schechter and double-power-law expressions. We discuss our results and bring conclusions in Sects. 6 and 7, respectively.
Table 1: Data on the 2dFGRS galaxies and groups used
![]() |
Figure 1: Luminosities of first-ranked galaxies in the 2dFGRS at various distances from the observer. |
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2 Data
2.1 The group catalogue
In the present analysis we shall use the catalogue of groups and
clusters by Tago et al. (T06). This catalogue covers the contiguous
2dFGRS northern and southern Galactic patches (NGP and SGP,
respectively), small fields spread over the southern Galactic cap are
excluded. We extracted data on galaxies from the 2dFGRS web-site
(http://www.mso.anu.edu.au/2dFGRS): the coordinates RA and
DEC, the apparent magnitudes in the photometric system bJ, the
redshifts z, and the spectral energy distribution parameters .
We excluded distant galaxies with redshifts z > 0.2, since weights
to calculate expected total luminosities (see Sect. 5.2)
become too large and uncertain at these redshifts. The apparent
magnitude interval of the 2dFGRS ranges from
m1 = 14.0 to the
survey faint limit
(in the photometric system
bJ, corrected for the Galactic extinction). Actually the faint
limit m2 varies from field to field. In calculation of the
luminosity weights these deviations have been taken into account, as
well as the incompleteness of the survey (the fraction of observed
galaxies among all galaxies up to the fixed magnitude limit; for
details see T06). The number of galaxies selected for the analysis is
given in Table 1. For linear dimensions we use co-moving
distances (see, e.g. Martínez & Saar 2003), computed using a
CDM cosmological model with the following parameters: the
matter density
,
and the dark energy density
.
In the group definition T06 tried to avoid the inclusion of large sections of underlying filaments or surrounding regions of superclusters into groups. To find the appropriate search radius (FoF radius) for group definition T06 investigated the behaviour of roups, if artificially shifted to longer distances from the observer. Using this method T06 found that the search radius to find group members must increase with distance only moderately.
To transform the apparent magnitude mJ into the absolute magnitude
M we use the usual formula
![]() |
(1) |
where the luminosity distance is dL=d(1+z), d is the co-moving distance in the units of h-1Mpc, and z is the observed redshift. The term K is the

2.2 Selection effects: visibility of galaxies at different distances
To calculate the LF of galaxies we need to know the number of galaxies of a given luminosity per unit volume. The principal selection effect in flux-limited surveys is the absence of galaxies fainter than the survey limiting magnitude. This effect is well seen in Fig. 1 that shows the luminosities of the first-ranked galaxies at various distances from the observer.
To take this effect into account in the determination of the LF of
group galaxies we used the standard
weighting
procedure. The differential luminosity function n(L) (the expectation of
the number density of galaxies of the luminosity L) can be found as follows:
where


We select galaxies in the distance interval 70-500h-1Mpc. At small distances, bright galaxies are absent from the survey (see Fig. 1) due to the limiting bright apparent magnitude of the survey. To avoid this selection effect, we set the lower distance limit to 70h-1Mpc. The upper limit is set to 500h-1Mpc since at long distances the weights for restoring group luminosities become too big (see Fig. 14).
2.3 Determination of environmental densities
Already early studies of the distribution of galaxies of different luminosity showed that clustering of galaxies depends on their luminosity (Einasto 1991; Hamilton 1988), and thus the LF of galaxies depends on the environment where the galaxy is located (Croton et al. 2005; Xia et al. 2006; Hoyle et al. 2005; Mo et al. 2004; Cuesta-Bolao & Serna 2003). Recent studies have demonstrated that both the local (group) as well as the global (supercluster) environments play a role in determining properties of galaxies, including their luminosities (Einasto et al. 2007b). To estimate these effects and to investigate the dependence of the galaxy LF on the environment we calculated the luminosity density field.
Table 2: The numbers of first-ranked, satellite and isolated galaxies in different environments
To calculate the density field we need to know the expected total
luminosities of groups and isolated galaxies (a detailed description
of calculating these luminosities is given in Sect. 5.2).
These quantities are given in the group catalogue by T06. The
luminosity density fields were found using kernel smoothing as
described in our 2dFGRS supercluster catalogue (Einasto et al. 2007a):
where K(x;h) is a suitable kernel of a width h with a unit volume integral, and Li is the luminosity of the i-th galaxy. The sum extends formally over all galaxies, but the kernel is usually chosen to differ from zero only in a limited range of the argument; this limits the number of galaxies in the sum. For details see Einasto et al. (2007a).
We used the
Epanechnikov kernel:
of a radius

After that, we divided all groups (galaxies) into classes, according
to the value of the global environmental density D at their location
as follows: low density regions with
,
medium density
regions with
,
high density regions with
,
and very high density regions with D > 7 (all densities are
in units of the mean luminosity density for the sample volume); we
denote these regions as D1, D2, D3, D4, respectively. The threshold
density 4.6 was used in our supercluster catalogue (Einasto et al. 2007a)
to separate superclusters from field objects. We define superclusters
as non-percolating high-density regions of the cosmic web using the
global density to distinguish between objects belonging to
superclusters or to the field (see Fig. 16 below for
illustration). Einasto et al. (2007b) showed that the densities D > 7are characteristic to supercluster cores. High density cores are
present in rich superclusters only. The supercluster environment
represents poor superclusters and the outskirt regions of rich
superclusters. As seen from Fig. 16, supercluster cores may
have a complex internal structure, consisting of clusters and groups
and even isolated galaxies. The threshold density 1.5 that separates
the low and medium density regions corresponds approximately to the
division between galaxies in voids and those in filaments. These
divisions are not directly related to the shape or other properties of
galaxy systems (for a recent discussion of the properties of DM haloes
in different environments see Hahn et al. (2007)).
We use these four density classes to study the environmental dependences of the LFs. In Table 2 we show the number of galaxies in different environments for different populations (first-ranked galaxies, group satellite galaxies and isolated galaxies). Everywhere in this paper the supercluster class usually does not include galaxies in supercluster cores; if we lump these classes together, we tell that.
3 Luminosity functions in different environments
3.1 Brightest group galaxies
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Figure 2: The differential LFs of first-ranked galaxies. The functions have been calculated for four classes of global environmental density: D1, D2, D3, D4 (voids, filaments, superclusters, cores of superclusters), with limiting densities 1.5, 4.6 and 7 in units of the mean density. Solid line - void galaxies; dashed line - filament galaxies; short dashed line - supercluster galaxies; dotted line - supercluster core galaxies. |
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We use our galaxy samples and the catalogue of groups of galaxies (T06) to calculate the LF for first-ranked (brightest group) galaxies. The catalogue by T06 gives for each group the luminosity of the first-ranked galaxy (most luminous in the bJ-filter). In the present study we shall made no effort to use for the first-ranked galaxy identification other galaxy properties, such as spectral type, colour index or possible activity. These morphological aspects deserve a more detailed study which is outside the scope of the present investigation.
We calculated the differential LF of first-ranked galaxies in various environments for different samples. The numbers of galaxies used are given in Table 2.
The differential LFs of first-ranked galaxies are shown in Fig. 2 for different environmental densities. In order not to overcrowd the figures, we do not show error bars. As there are many galaxies, errors are small; typical errors are illustrated in Fig. 4.
Figure 2 shows that there exist large differences between LFs in different environmental regions. The brightest first-ranked galaxies in void regions have a factor of 3-4 lower luminosity than the brightest first-ranked galaxies in regions of higher environmental densities. For this reason the whole LF of void first-ranked galaxies is shifted toward lower luminosities. At the same time, there are no significant differences between the luminosities of the brightest first-ranked galaxies in the filament, supercluster, and supercluster core environments. Later we shall see that the same is valid for satellite galaxies.
The second large difference between the first-ranked galaxy
luminosities in various environments is the presence of a well-defined
lower limit of first-ranked galaxy luminosities in the
superclusters and cores of superclusters. In supercluster cores the
lower first-ranked galaxy luminosity limit is about mag. When
we move to lower environmental densities, the lower first-ranked
galaxy luminosity limit gets smaller (see Fig. 2). The
supercluster core environment forces lower limits also for other
galaxies (satellites and isolated galaxies). The void and filament
first-ranked galaxies do not have any lower luminosity limit.
3.2 Group second-ranked galaxies
We define the group second-ranked galaxy as the most luminous satellite galaxy in the group: it is the second luminous galaxy in the group.
![]() |
Figure 3: The differential LFs of group second-ranked galaxies. Labels are the same as in Fig. 2. |
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Figure 4:
The differential LFs of two populations: filled squares -
second-ranked galaxies in the supercluster (including the
supercluster core) environment (D>4.6); open circles -
first-ranked galaxies in the void environment (D<1.5). Upper
(black) points are for all galaxies; middle (red) points are for the
red population (shifted down by one unit in the
|
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In Fig. 3 we plot the differential LFs of group second-ranked galaxies in different environments. The overall picture is similar to the LFs of first-ranked galaxies. The primary difference is that the bright end of the LF is shifted to lower luminosities. The faint-end limits are approximately the same as for first-ranked galaxies.
Another difference (compared with first-ranked galaxies) is that the brightest second-ranked galaxies in the supercluster core environment are more luminous than the brightest galaxies in the supercluster and filament environments; for first-ranked galaxies the bright end of the LFs was the same for these three environments.
This effect is expected if second-ranked galaxies in high density environments had been first-ranked galaxies before they were drawn into a larger cluster via merging of groups into larger systems. Thus the LF of second-ranked galaxies in high density regions is more close to the LF of first-ranked galaxies than to the LF of second-ranked galaxies in low density regions.
To test this last assumption, we plotted in Fig. 4 the
differential LFs of two populations: the first population consists of
the second-ranked galaxies in the supercluster environment (including
the supercluster core environment); the second sample includes the
first-ranked galaxies in the void region. The error-bars in this plot
are Poisson 1-
errors; in other figures (where only lines are
shown) the errors have the same order of magnitude. We see that these
two distributions are pretty similar. There are differences at the
faint end, but these are caused by the environment; there are only a
few faint first- and second-ranked galaxies in high-density
regions. Thus we see that the second-ranked galaxy LF in high-density
regions is similar to the first-ranked galaxy LF in the low-density
environment.
To show that this similiarity is not accidental, we divided these galaxies into two samples (red and blue galaxies), using information about the colours of galaxies (the rest-frame colour index, col=(B-R)0, Cole et al. (2005)). We used the limit col=1.07 to separate the populations of red (passive) and blue (actively star-forming) galaxies. For these two samples the LFs are still similar (see Fig. 4), only the supercluster galaxies are in average 0.15mag redder than the void galaxies. This shift was also seen in Einasto et al. (2007b) where we showed that not only the brightest galaxies, but all galaxies in superclusters are redder than those in voids.
The first-ranked galaxy population is different from that of the satellite galaxy population, but the changeover from one population to the other is smooth.
3.3 Other satellite galaxies
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Figure 5: The differential LFs of satellite galaxies. Labels are the same as in Fig. 2. |
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Group satellite galaxies are all galaxies in groups (excluding first-ranked galaxies). The satellite galaxy population includes also the second-ranked galaxies.
In Fig. 5 we show differential LFs of group satellite galaxies. The LFs are similar to the LFs of second-ranked galaxies. The primary difference is that the faint satellites in the supercluster and supercluster core environments have lower luminosities, and there are more faint satellites than faint second-ranked galaxies. In supercluster cores, the brightest satellites are more luminous than those in lower density environments. In addition, in the highest density environment there exists a sharp lower satellite luminosity limit.
3.4 Isolated galaxies
![]() |
Figure 6: The differential LFs of isolated galaxies. Labels are the same as in Fig. 2. |
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We define all galaxies that do not belong to groups/clusters in the T06 group catalogue, as isolated galaxies. In this section we present the LFs of isolated galaxies; we shall discuss the nature of isolated galaxies later, in a separate section.
In Fig. 6 we show the differential LFs of isolated galaxies in different environments. Isolated galaxies in the supercluster core environment have a faint luminosity limit (similar to other populations). The differences in the LFs of bright isolated galaxies between various environments are much smaller than for other populations. The brightest isolated galaxies occur in the filament environment (for other populations the brightest galaxies can be found in the supercluster core environment). This means that in the supercluster and supercluster core environments the brightest galaxies lie in groups/clusters, contrary to the void and filament environments, where many bright galaxies are identified as isolated galaxies.
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Figure 7: Differential LFs in different environments and for different galaxy populations. Top-left panel - void environment; top-right panel - filament environment; bottom-left panel - supercluster environment; bottom-right panel - supercluster core environment. Solid line shows first-ranked galaxies; dashed line - second-ranked galaxies; short-dashed line - satellite galaxies; dotted line - isolated galaxies. |
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3.5 Comparison of LFs in different environments
Differential LFs of galaxy populations in various environments are shown in Fig. 7. Each panel represents a different environment, and in each panel we show the LFs of different populations (first-ranked, second-ranked, satellite and isolated galaxies).
Figure 7 (upper-left panel) shows that in voids, the bright end of LFs of all galaxy populations is shifted toward lower luminosities - in the void environment first-ranked galaxies of groups are fainter than those in higher density environments. We noticed this effect also in Einasto et al. (2007b). Interestingly, the bright end of the LF for isolated galaxies in voids is comparable to that of first-ranked galaxies. We discuss the possible reasons for that in the next section. The LFs of second-ranked galaxies and of all satellites are comparable, although there is a slight increase of the LF of satellite galaxies at the lowest luminosities. The LF of first-ranked galaxies, in contrary, has a plateau at the faint end, without signs of increase.
In the filament environment (Fig. 7, upper-right panel) the bright ends of the LFs for first-ranked galaxies and for isolated galaxies are similar, while the brightest second-ranked galaxies and satellite galaxies are fainter. For a wide range of luminosities, the LF for first-ranked galaxies is slowly decreasing toward fainter luminosities, while LFs for other galaxy populations have a plateau.
The LFs for the supercluster environment (excluding supercluster
cores) are shown in the lower-left panel of Fig. 7. As we
mentioned, the supercluster environment represents poor superclusters
and the outskirt regions of rich superclusters. This Figure shows
that the first-ranked galaxies in the supercluster environment have
luminosities comparable to those of the first-ranked galaxies in
filaments, but the LFs for faint galaxies differ. Instead of a
plateau, there the LFs show a decrease toward the faint end. The LF
for first-ranked galaxies in this region has a well-defined faint
luminosity limit (approximately mag), while the LFs for other
galaxy populations extend to fainter luminosities.
The LFs for supercluster cores are shown in Fig. 7,
lower-right panel. We notice the striking difference between the LFs
in supercluster cores and the LFs in other environments: here all LFs
have a well-defined lower luminosity limit, about mag, which
for first-ranked galaxies was seen already in supercluster
environment. Also, in supercluster cores the brightest first-ranked
galaxies are more luminous than the brightest first-ranked galaxies in
other environments.
Our earlier studies have shown that the most luminous groups are located in superclusters (Einasto et al. 2003a,b). Here we see the same trend for the brightest first-ranked galaxies.
In summary, the most dense environment (supercluster cores) is different from other environments: there are no very faint galaxies, and the brightest first-ranked galaxies are brighter than the first-ranked galaxies in lower density environments. The lower luminosity limit is shifted to fainter luminosities, if we move to less dense environments. The transition between different environments is smooth.
4 Nature of isolated galaxies
We assume that some fraction of isolated galaxies are first-ranked galaxies of groups/clusters, which have all its fainter members outside the visibility window of the survey. The best way to verify this assumption is actual observation of fainter galaxies around isolated galaxies; this would need a dedicated observational programme. However, we can check if the presence of fainter companions is compatible with other data on the distribution of magnitudes of galaxies in groups. First, we analyse the LF of isolated galaxies and examine how many isolated galaxies could actually be first-ranked galaxies and how this ratio depends on the environment.
4.1 The luminosity function for isolated galaxies
The overall shape of the LFs in Fig. 7 suggests that isolated galaxies may be a superposition of two populations: the bright end of their LF is close to that of the first-ranked galaxy LF, and the faint end of the LF is similar to the LF of satellite galaxies. This is compatible with the assumption that the brightest isolated galaxies in a sample are actually the brightest galaxies of invisible groups.
In the supercluster core environment the brightest isolated galaxies are fainter than the brightest first-ranked galaxy, but they are almost as bright as the second-ranked galaxies in this environment. Earlier we showed that the second-ranked galaxies in high-density regions are similar to first-ranked galaxies in lower-density regions. In other words, second-ranked galaxies in supercluster core clusters can be considered as first-ranked galaxies of clusters before the last merger event.
In the void environment, the faintest isolated galaxies are brighter than the faintest galaxies of other populations. This suggests that some isolated galaxies in voids are truly isolated; they do not belong (or have belonged) to any groups. Truly isolated galaxies are rare in denser environments.
4.2 Magnitude differences between the first-ranked and the second-ranked group galaxies
The simplest test to examine the assumption that isolated galaxies can
be first-ranked galaxies, is the following. A group has only one
galaxy in the visibility window, if its second-ranked galaxy (and all
fainter group galaxies) are fainter than the faint limit of the
luminosity window at the distance of the galaxy. Thus we calculated
for each isolated galaxy the magnitude difference
,
where Ml is the absolute magnitude corresponding
to the faint limit of the apparent magnitude window
ml = 19.45, and
MbJ is the absolute magnitude of the galaxy in the
bJ-filter. These magnitudes should also be corrected for the
-effect, but as the correction is the same for both, it does
not influence their difference.
The distribution of magnitude differences should be compared with the
distribution of the actual magnitude differences between the
first-ranked and second-ranked group galaxies,
.
The differential distributions of magnitude differences
between the first-ranked and second-ranked group galaxies
,
and the difference
of isolated galaxies, are shown in Fig. 8. The
distributions look rather similar. The main difference is that there
are less very small magnitude differences
for
isolated galaxies. In the case of very small magnitude differences
between the first-ranked and second-ranked galaxies the second-ranked
galaxy is also observed for redshifts, and the galaxies are not
isolated.
![]() |
Figure 8: The differential distributions of magnitude differences for group first-ranked and second-ranked galaxies (open circles) and of magnitude differences between isolated galaxies and the faint limit of the visibility window (filled squares). |
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The overall similarity of both distributions suggests that our assumption (that isolated galaxies are actually the first-ranked galaxies with fainter companions located outside the observational window) passes the magnitude difference test. Of course, this test does not exclude the possibility of existence of truly isolated galaxies.
4.3 Group visibility at different distances
As a further test to check our hypothesis concerning the nature of
isolated galaxies we check how well actual nearby groups are visible,
if shifted to longer distances. For this purpose we selected two
subsamples of groups at different true distances from the observer
(and with different mean absolute magnitude of the first-ranked group
galaxy, M1). The first subsample was chosen in a nearby region
with distances
h-1Mpc, and the number of visible
galaxies
.
The other group sample was chosen
in the distance interval
h-1Mpc, and
.
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Figure 9:
Upper panel: the mean number of galaxies in shifted groups
as a function of distance. Lower panel: restored mean total
luminosities of shifted groups. The solid line shows the results
for groups located initially at distances
|
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Figure 10: The restored luminosities of shifted groups, in units of the actual luminosity at the true distance. |
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Next groups were shifted to progressively longer distances, galaxy
apparent magnitudes were calculated, and galaxies inside the
visibility window were selected. Details of this procedure were
described by T06. The number of galaxies inside the visibility window
for shifted groups decreases; the mean number of galaxies in shifted
groups is shown in the upper panel of Fig. 9. We see that
the mean number decreases almost linearly in the
- ddiagram; at the far side of our survey the mean number of remaining
galaxies in groups is between 1 and 2.
The expected total luminosity of groups, calculated on the basis of galaxies inside the visibility window and using the procedure outlined in Sect. 5.2 below, is shown on the lower panel of Fig. 9. We see that the mean values of restored total luminosity of groups are almost identical with the true luminosity at the initial distance. At the very far end, the expected total luminosities of groups are a little higher than the initial luminosity, i.e. the expected luminosities are slightly over-corrected. Lower mean luminosities at low distances are caused by the lower number of groups in this region. The restored luminosities of individual groups have a scatter that increases with distance, as seen from Fig. 10. Luminosities in Fig. 10 are in units of the actual luminosity at the true distance. We plotted in this Figure the expected total luminosities for 30 groups, selected in the region 100-200h-1Mpc, as a function of shifted distance. This scatter can be used to estimate errors of estimated total luminosities of groups as a function of the number of remaining galaxies in groups.
4.4 Luminosity functions of brightest+isolated galaxies
![]() |
Figure 11: The LFs of the first-ranked and first-ranked+isolated galaxies in different distance intervals (distances are in units of h-1Mpc). The LFs of first-ranked galaxies are shifted to left by 1mag. |
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![]() |
Figure 12:
The differential LFs of first-ranked (upper panel),
isolated (middle panel) and first-raked+isolated (lower panel)
galaxies for samples of different maximum distances
(
|
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To test the assumption that isolated galaxies are first-ranked galaxies, we can also examine how distance-dependent selection effects influence the LFs of first-ranked galaxies and isolated galaxies.
Table 3: Numbers of galaxies in distance-dependent samples
Figure 11 shows the LFs of first-ranked and first-ranked+isolated galaxies in different distance intervals. The numbers of first-ranked and isolated galaxies in each distance interval are given in Table 3. The LFs of first-ranked galaxies are distance-dependent: with increasing distance the number of faint galaxies decreases. If we add the isolated galaxy sample (we assume that isolated galaxies are first-ranked galaxies) to the first-ranked sample, then the combined LFs are almost independent of distance. The remaining differences are only in the lowest luminosity ranges where data are incomplete; the differences are much smaller than for the first-ranked samples.
In the second test, we calculated the LFs of first-ranked galaxy,
isolated and first-ranked+isolated galaxies for a number of limiting
distances from the observer:
, 300, 400 and
500h-1Mpc. The minimum distance is the same for all samples
(70h-1Mpc). The total number of first-ranked galaxies in these
subsamples is 5184, 12115, 19565 and 23453, respectively.
The calculated LFs are shown in Fig. 12. If we look only at the first-ranked or the isolated galaxy samples, then the LFs depend on distance. If we combine these two samples, then the combined LFs are independent of distance. This supports our assumption that most of isolated galaxies are actually the first-ranked galaxies with satellite galaxies outside the visibility window. With increasing distance, the fraction of (visible) brightest galaxies decreases (see Table 3). With increasing environmental density, the fraction of first-ranked galaxies increases (see Table 2).
Our tests show that all (or almost all) bright isolated galaxies are actually first-ranked galaxies. We cannot say that for fainter galaxies: there might be some fainter galaxies that are truly isolated.
![]() |
Figure 13:
Differential LFs for various galaxy populations:
first-ranked, satellite, first-ranked+satellite (group),
first-ranked+isolated, isolated and all galaxies. The points are
LFs, using 2dF galaxy catalogue. Error-bars are Poisson 1- |
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5 Full luminosity functions
5.1 Comparison of the Schechter and the double-power-law luminosity functions
A double-power-law form of the group LF was found already by
Christensen (1975), Kiang (1976), Abell (1977), and
Mottmann & Abell (1977). In these papers a sharp transition between two
power indices at a characteristic luminosity L* was applied. We
shall use a smooth transition:
where





We shall compare the double-power-law function with the
popular Schechter (1976) function:
where

Table 4: Schechter and double-power law parameters
Figure 13 presents the LFs for various galaxy populations:
first-ranked , satellite, first-ranked+satellite (group),
first-ranked+isolated, isolated and all galaxies. When calculating
LFs, we have selected galaxies from all density regions. The LFs have
a well-defined bend around
(
), and an
almost constant level for luminosities
:
the LFs
slightly increase by moving toward lower luminosities, except for the
first-ranked galaxy sample, where the LF is decreasing.
For all galaxy populations we fitted the Schechter and double-power-law functions for these LFs. The Schechter and double-power-law parameters with error estimates for each sample are given in Table 4. In general, both functions give a pretty good fit. Since the double-power law has more free parameters, the fit is slightly better. There is still one big difference between the Schechter and the double-power law: for most populations, the Schechter law predicts too few bright galaxies; the double-power law gives a much better fit for the bright end of the LF and a better fit in the bend region.
5.2 Determination of expected total luminosities of groups
The main problem in the calculation of the group LF is the reduction of observed group luminosities to expected total luminosities which take into account galaxies outside the visibility window. The 2dFGRS is a flux-limited survey, since very bright as well as faint galaxies cannot be observed for redshifts using the multifibre technique. The estimated total luminosity by T06 was found using the Schechter (1976) LF of galaxies, as done also by Moore et al. (1993) and Tucker et al. (2000).
In calculating the luminosities of groups we regard every galaxy as a visible member of a density enhancement within the visible range of absolute magnitudes, M1 and M2, corresponding to the observational window of apparent magnitudes, m1 and m2, at the distance of the galaxy. This assumption is based on observations of nearby galaxies, which indicate that practically all galaxies are located in systems of galaxies of various size and richness. In this paper we came to similar conclusions that truly isolated galaxies are rare, and most observed isolated galaxies are actually the first-ranked galaxies.
To estimate the expected total luminosity of groups we assume that
the LFs derived for a representative volume can be applied also for
individual groups and galaxies. Under this assumption the estimated
total luminosity per one visible galaxy is
where


is the luminous-density weight (the ratio of the expected total luminosity to the expected luminosity in the visibility window). L1and L2 are lower and upper limit of the luminosity window, respectively. In our calculations we adopted the absolute magnitude of the Sun in the bJ filter


In T06 paper we used the Schechter function for calculating the weights.
In this paper we use the double-power law instead of the Schechter one,
as the double-power law represents better the bright end of the LFs. For
weights, we use the double-power law derived from the full galaxy
sample. The weights assigned to galaxies as a function of distance from
the observer are shown in Fig. 14. At a distance
h-1Mpc weights are close to unity; here the observational
window of apparent magnitudes covers the absolute magnitude range of
the majority of galaxies. Weights rise toward very small distances
due to the influence of bright galaxies outside the observational
window, which are not numerous but are very luminous. At longer
distances the weight WL rises again due to the influence of faint
galaxies outside the observational window. The fairly large scatter
of weights at any given distance is due to differences of the
-correction for galaxies of various energy distribution
parameter
,
and the scatter of the incompleteness correction.
![]() |
Figure 14: The weights used to correct for invisible galaxies outside the observational luminosity window. |
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![]() |
Figure 15: The differential LF of groups (shown by points). The red solid line is the double-power-law fit and the green dashed line is the Schechter function. |
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As we have the total luminosities of groups, we are able to calculate the group LF. It is plotted in Fig. 15. Compared with the galaxy LF, the turn-off is shifted toward brighter luminosities and the LF is shallower. Here again, the Schechter function predicts too few bright groups. The Schechter and double-power-law parameters for the group LF are given in Table 4.
6 Discussion
6.1 Distribution of groups in various environments
![]() |
Figure 16: The projected luminosity density distribution of the central area of the 2dFGRS northern sample. The green long-dashed line surrounds the supercluster core region, the blue dashed line - the supercluster region, and the dotted violet line - the filament region, the rest is the void region. The luminous supercluster near the centre of the Figure is SCL126, according to the catalogue by Einasto et al. (1997). |
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To visualise the environmental dependence of the LFs we show in Fig. 16 a 2-D luminosity density distribution in different regions of the global density. We show a slice of the 2dFGRS with a thickness of 100h-1Mpc at a distance d=250h-1Mpc, perpendicular to the line-of-sight, with suitably chosen Cartesian coordinates within the plane of the slice. We see that in supercluster and their core regions there are numerous dense knots - rich clusters of galaxies. Knots (clusters/groups) in filament regions form elongated clouds around superclusters; often these clouds continue filaments inside superclusters. The most luminous supercluster seen in this Figure is SCL126, according to the catalogue by Einasto et al. (1997).. It is connected with neighbouring superclusters by numerous filaments.
6.2 Evolution of groups in various environments
To understand the differences between group LFs we performed an
analysis of evolution of haloes (simulated groups) in different global
environments. For this purpose we simulated the evolution of a model
universe with standard cosmological parameters
,
,
,
,
in a box of size
L = 256h-1Mpc. Particle positions and velocities were stored for
epochs z = 100, 50, 20, 10, 5, 2, 1, 0.5 and 0. The density field
was calculated for all epochs using two smoothing kernels, the
Epanechnikov kernel of the radius of 8h-1Mpc, and the Gaussian kernel
of the rms width of 0.8h-1Mpc. These fields define the global and
local environment, respectively. For the present epoch the
high-resolution density field was used to find compact haloes. The
haloes were defined as all particles within a box
cells around
the cell of the peak local density. All together 41060 haloes were
found. For each halo its position, peak local density, global
environmental density at its location, and mass were stored; the mass
was found by counting the number of particles in groups (the mass of
each particle is
). For all
haloes particle identification numbers were stored, so it was easy to
find positions of particles of present-epoch haloes at earlier epochs.
![]() |
Figure 17: The evolution of the size of samples of particles, collected in haloes at the present epoch, as a function of redshift z. Present time haloes have been selected in regions of different global density at the present epoch, corresponding to supercluster cores, superclusters, filaments of various global density, and in voids. |
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To follow changes of the size of the clouds of particles in present-day haloes we calculated the mean sizes of particle clouds for earlier epochs. In the present study we are not interested in the changes of positions of groups during their evolution, thus we found the mean position of each halo and its sizes along three coordinate directions; the mean of these sizes was taken as the size of the halo. Halo samples for this study were collected in 5 global density regions at the present epoch, which correspond to cores of superclusters, superclusters, rich and poor filaments, and voids. This division corresponds approximately to observed group populations located in various global density environments, studied above.
The changes of mean sizes of model haloes located in various global environment are presented in Fig. 17. The Figure shows dramatic differences in the evolution of halo sizes. Haloes in void regions have almost identical sizes over the whole time interval used in this study. In contrast, the sizes of haloes in present core regions of superclusters were much larger at earlier epochs: the sizes have decreased by a factor of about 5. In regions of intermediate global density the changes are the smaller, the lower is the environmental density.
These differences in the evolution of halo mean sizes are mainly due to differences in the merger history of haloes in various environments. In high-density regions the present-day haloes are collected from numerous smaller haloes formed independently around the present brightest group. During this process the mass of the halo increases. The merger rate is a function of the environmental density, thus we observe gradual changes of the LFs of first-ranked galaxies.
The masses of haloes at the present epoch as a function of the global environmental density are shown in Fig. 18. For a given environmental density the masses have a well-defined upper limit, which increases over two orders of magnitude when we move from the void environment to the supercluster core environment. The conditional mass function of haloes, given the environmental density, has been a topic of the extended Press-Schechter theory (EPS) for more than a decade. The specific applications include the seminal paper of Sheth & Tormen (2002), study of the conditional mass function in voids (Gottlöber et al. 2003) and modelling of this function for different environmental densities by Hamana et al. (2003) (see the review in Martínez & Saar (2003) and a recent review by Zentner (2007)). These theories have all been tested on numerical models, as halo masses are hard to determine from observations; thus, an interesting future project would be to find a way to compare the EPS mass functions with observations.
![]() |
Figure 18: The masses of haloes in regions of different global density at the present epoch. Haloes have been found by the FoF method using the same model as in Fig. 17. |
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Halo evolution histories in various environments were recently constructed by Romeo et al. (2008), using detailed hydrodynamical simulations. Empirical evidence for differences in galaxy evolution comes among other sources also from the millennium galaxy catalogue, see Driver et al. (2006).
6.3 Comparison with earlier studies
The LF of group brightest and satellite galaxies was investigated recently by a number of authors. Yang et al. (2008a) used the Data Release 4 of the Sloan Digital Sky Survey to study the LF in the framework of a long series of papers devoted to the halo occupation distribution (van den Bosch et al. 2003; Yang et al. 2004; Zheng et al. 2005; van den Bosch et al. 2008; Yang et al. 2003; van den Bosch et al. 2004,2005; Yang et al. 2005b, and references in Yang et al. (2008a)). Similar studies were made also by Tinker et al. (2005), Cooray & Cen (2005), Cooray & Milosavljevic (2005a), Milosavljevic et al. (2006), Tinker et al. (2006), Vale & Ostriker (2006), Tinker et al. (2007), Hansen et al. (2007), Tinker & Conroy (2008), and Vale & Ostriker (2008).
Hansen et al. (2007) and Yang et al. (2008a) found that luminosities of first-ranked galaxies of rich groups have a relatively small dispersion (see Fig. 5 of Hansen et al. (2007) and Fig. 2 of Yang et al. (2008a)). In their halo occupation model Cooray & Milosavljevic (2005a) use for central galaxies a double-power law model with a sharp decline at low luminosities, depending on the mass of the halo. Thus new data confirm the earlier results by Hubble & Humason (1931), Hubble (1936), Sandage (1976), Postman & Lauer (1995), and many others. In most of these studies only very rich groups were considered. In our study also poorer groups were investigated, and we found that they have a lower low-luminosity limit in dense environments than rich groups do. Cooray & Milosavljevic (2005a) and Yang et al. (2008a) showed that the median luminosity of first-ranked galaxies depends strongly on the mass of the halo (group). To compare with their results we plot in the lower panel of Fig. 19 the luminosities of first-ranked galaxies as a function of the estimated group total luminosity. The median luminosity of first-ranked galaxies is shown by a red line. Our results are very close to those by Yang et al., see their Fig. 6 (left panel). Yang et al. use as argument the estimated group (halo) mass, which is closely related to the estimated total luminosity. Our study shows also that the median luminosity and the width of the luminosity distribution of first-ranked galaxies depend on the density of the environment.
These results mean that first-ranked galaxies of groups located in a dense environment have a rather well fixed lower luminosity limit. The decrease of the LF at low luminosities was noticed in the NGC901/902 supercluster by Wolf et al. (2005) for dust-free old galaxies (their Fig. 11).
One of important results of the present study is the finding about the nature of isolated galaxies in a flux-limited sample: most isolated galaxies are actually the first-ranked galaxies, where the fainter members of groups lie outside the visibility window. A similar result was obtained by Yang et al. (2008a) using the halo occupation model. Arguments used in our study and by Yang et al. are very different, so both studies complement each other.
![]() |
Figure 19:
Upper panel: The luminosity gap between the first-ranked and
second-ranked galaxies in groups,
|
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Yang et al. (2008a) also studied the gap between the first-ranked and
second-ranked galaxies. Their results show that the width for the gap
lies in range
-0.6. For our groups, the width of
the gap is even larger (see the upper panel of Fig. 19).
This Figure shows that the gap has the highest values for medium rich
groups of a total expected luminosity about
,
i.e. for groups of the type
of the Local Group. Milosavljevic et al. (2006) used the luminosity gap
statistic to investigate the cluster merger rate and to define
``fossil'' groups.
Cross et al. (2001) determined a bivariate brightness distribution of a subsample of 2dFGRS, i.e. the joint surface brightness-luminosity distribution. Their analysis shows that if the surface brightness is taken into account, then more exact extrapolation of the expected total galaxy luminosity is possible. This results in a shift of the characteristic magnitude M* brightwards by 0.33mag, and in an increase of the total estimated number density of galaxies by a factor of about 1.2. The normalization of the LF for the millennium galaxy catalogue was discussed by Liske et al. (2003), Cross et al. (2004), and Driver et al. (2005), where normalization parameters for various previous determinations of the LF were found. In this paper we are comparing the LFs of first-ranked galaxies, second-rank, and isolated galaxies. As the shifts found by Cross et al. and Liske et al. influence these populations approximately in the same manner, we expect that our results are insensitive to the surface brightness effect.
An extensive study of LFs in various environments using the 2dFGRS was made by Croton et al. (2005). Their main results are the same that we found. Using the halo occupation model Mo et al. (2004) and Tinker & Conroy (2008) argue that the dependence of the LF on the large-scale environment is determined by differences in the masses of DM haloes. Our simple model shows that in different global environments the masses of DM haloes may differ by orders of magnitude, see Fig. 18, in agreement with Mo et al. and Tinker & Conroy results. Semi-analytic models also predict that void galaxies should be fainter than galaxies in dense regions (Tinker & Conroy 2008; Benson et al. 2003, see also Einasto et al. (2005)).
In general, all studies show that as we move from high density regions to low density regions (voids), galaxies become fainter. Interestingly, our study shows that in high density environments (supercluster core regions), all LFs are different from those in other environments. This result is new, although the decrease of the LF at low luminosities was noticed in the NGC901/902 supercluster by Wolf et al. (2005) for dust-free old galaxies. It is difficult to explain this effect with selection effects since, as seen also in Fig. 16, the galaxies in supercluster core regions in the area plotted here are located at the same distances as galaxies in the nearby lower density regions where also low luminosity galaxies are seen. We believe that in cores of rich superclusters the faintest galaxies have been swallowed by the brightest galaxies/groups, since in high density environments merger events are much more common. The reason why this has not been found in other studies, is probably a different definition of the high density environment. Cores of rich superclusters are specific regions that contain clusters and groups of galaxies, as well as isolated galaxies, and may contain X-ray clusters of galaxies. The morphology of supercluster cores differ from the morphology of supercluster outskirts (Einasto et al. 2008). Thus supercluster cores are not just an environment that contains groups of galaxies (groups may be located also in poor superclusters), and the LFs of galaxies in supercluster cores are not the same as the LFs of galaxy clusters (see, for example, Hansen et al. (2007)). The supercluster environment (excluding cores) can also be considered as a high density environment but here the galaxy and group content differs from that in core regions. Thus here the definition of the environment is crucial.
Our study does not include very faint galaxies, as, for example, the study of the core region of the Shapley supercluster (Mercurio et al. 2006). Thus future work is needed to understand the difference between the faint ends of the LFs in our and Mercurio et al. study.
One difference between the earlier studies and our work lies in the use of the analytical LFs. Most earlier authors have used the Schechter function, but our results show that this function is not good to describe the bright end of the LF. This difficulty was noticed already by Blanton et al. (2005) using the SDSS data. They also showed that the Schechter function does not fit the LF of extremely low luminosity galaxies. In a Shapley Supercluster region Mercurio et al. (2006) conclude that the bright end of the Schechter function is not sufficient to fit the data. Yang et al. (2008a) also use different analytical expressions of LFs for different populations: a log-normal distribution for first-ranked galaxies, and a modified Schechter function for satellite galaxies. The difficulty of the use of the standard Schechter function for satellite galaxies lies in the fact that the slope of the LF at high luminosities is much steeper than in the standard case where the slope is fixed by the exponential law. The double-power-law LF overcomes both difficulties and can be used for brightest as well as for satellite galaxies. This difference is crucial in cases where only very bright galaxies are visible, at the far end of flux-limited samples. Here small differences in the accepted analytical LF can lead to large differences in the expected total luminosities of groups.
Hoyle et al. (2005) studied the SDSS void galaxies. Their faint end slope
of the LF is comparable to our results (
--1.3). They
also conclude that the faint-end slope is not strongly dependent on
the environment, at least up to group densities. This is in agreement
with our results, where the faint-end slope is almost the same for all
populations, except for the first-ranked galaxy. However, in our
samples there are still small changes when moving from voids to
superclusters: the faint-end slope is steeper for void galaxies, and
becomes flatter when moving toward higher densities. Our faint-end
slope
for the galaxy LF is in range -1.0--1.3 (except
for the first-ranked galaxy), that is in good agreement with
observations and models (see
e.g. Xia et al. 2006; Baldry et al. 2005; Khochfar et al. 2007; Liu et al. 2008).
6.4 Interpretation of the luminosity function
By definition, the transition of the power laws from low luminosities to high luminosities occurs at a luminosity approximately equal to the characteristic luminosity L*, see Fig. 13 and Table 4. The luminosity L* corresponds also to the median luminosity of first-ranked galaxies when averaged over various environments (except the void environment), see Fig. 7. Fig. 6 and Table 1 of Yang et al. (2008a) show similar coincidences for groups (haloes) of various masses.
Cooray & Milosavljevic (2005b) demonstrated that the LF of galaxies can be calculated in the halo model using two premises: 1) the luminosities of central galaxies have a lognormal distribution, L* being the mean luminosity of central galaxies in massive haloes; and 2) the luminosities of satellite galaxies are distributed as a power law. These assumptions mean that the high-luminosity section of the LF is determined by the first-ranked galaxies, and the low-luminosity section - by the conditional LF of luminosity differences of satellite galaxies from the luminosity of the brightest galaxy.
Properties of the LF of various types of galaxies in different environments can be interpreted by differences of galaxy and group evolution. In supercluster cores rich groups form through many mergers, thus the second-ranked galaxies have been brightest galaxies of poorer groups before they have been absorbed into a larger group. In lower-density environment the merger rate is lower and groups of galaxies have been collected only from nearby regions through minor mergers and continuous infall of matter to galaxies as suggested by White & Rees (1978). Gas infall to galaxies (haloes) is very different in various environments, as shown by hydrodynamical simulations by Keres et al. (2005). The satellite LF contains also information on the galaxy formation feedback, see Cooray & Cen (2005).
7 Conclusions
We used the 2dF Galaxy Redshift Survey to derive the LF of different samples: the brightest (first-ranked ), second-ranked, satellite and isolated galaxies and the LF of groups. We studied the LFs for various environments. The principal results of our study are the following:
- The LFs of galaxies (for all samples) are strongly dependent on the
environment, in agreement with earlier studies.
- In the highest density regions (supercluster cores) the LFs
for all galaxy populations have a well-defined lower luminosity
limit, about
. Here the first-ranked galaxies have larger luminosities than the first-ranked galaxies in other regions, in concordance with several earlier studies.
- In the lowest density regions (voids) the LFs are shifted in
respect to the LFs of all other regions, toward lower
luminosities. Here, and in filament regions, the LFs of first-ranked
galaxies have a plateau at the faint end.
- The LF of second-ranked galaxies in high-density regions is
similar to the LF of first-ranked galaxies in lower-density regions.
The bright end of the LF of satellite galaxies is almost identical
with the bright end of the LF of second-ranked galaxies. At lower
luminosities the LF of satellite galaxies lies higher than the LF of
second-ranked galaxies.
- Almost all bright isolated galaxies can be identified with
first-ranked galaxies where the remaining galaxies lie outside the
observational window used in the selection of galaxies for the
survey. Truly isolated galaxies are rare; they are faint and are
located mainly in voids.
- The LF of galaxies and groups can be expressed by a
double-power law more accurately than by the Schechter function.
The biggest differences are in the bright end of the LF, where the
Schechter function predicts too few bright galaxies. The advantage
of double-power law is clearly visible for the LF of groups.
Acknowledgements
We are pleased to thank the 2dFGRS Team for the publicly available final data release. We thank the referee for stimulating suggestions. The present study was supported by Estonian Science Foundation grants No. 6104, 6106, 7146 and Estonian Ministry for Education and Science by grant SF0060067s08. This work has also been supported by the University of Valencia through a visiting professorship for E. Saar and by the Spanish MCyT project AYA2003-08739-C02-01. J. Einasto thanks Astrophysikalisches Institut Potsdam (using DFG-grant 436 EST 17/2/06), and the Aspen Center for Physics for hospitality, where part of this study was performed.
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All Tables
Table 1: Data on the 2dFGRS galaxies and groups used
Table 2: The numbers of first-ranked, satellite and isolated galaxies in different environments
Table 3: Numbers of galaxies in distance-dependent samples
Table 4: Schechter and double-power law parameters
All Figures
![]() |
Figure 1: Luminosities of first-ranked galaxies in the 2dFGRS at various distances from the observer. |
Open with DEXTER | |
In the text |
![]() |
Figure 2: The differential LFs of first-ranked galaxies. The functions have been calculated for four classes of global environmental density: D1, D2, D3, D4 (voids, filaments, superclusters, cores of superclusters), with limiting densities 1.5, 4.6 and 7 in units of the mean density. Solid line - void galaxies; dashed line - filament galaxies; short dashed line - supercluster galaxies; dotted line - supercluster core galaxies. |
Open with DEXTER | |
In the text |
![]() |
Figure 3: The differential LFs of group second-ranked galaxies. Labels are the same as in Fig. 2. |
Open with DEXTER | |
In the text |
![]() |
Figure 4:
The differential LFs of two populations: filled squares -
second-ranked galaxies in the supercluster (including the
supercluster core) environment (D>4.6); open circles -
first-ranked galaxies in the void environment (D<1.5). Upper
(black) points are for all galaxies; middle (red) points are for the
red population (shifted down by one unit in the
|
Open with DEXTER | |
In the text |
![]() |
Figure 5: The differential LFs of satellite galaxies. Labels are the same as in Fig. 2. |
Open with DEXTER | |
In the text |
![]() |
Figure 6: The differential LFs of isolated galaxies. Labels are the same as in Fig. 2. |
Open with DEXTER | |
In the text |
![]() |
Figure 7: Differential LFs in different environments and for different galaxy populations. Top-left panel - void environment; top-right panel - filament environment; bottom-left panel - supercluster environment; bottom-right panel - supercluster core environment. Solid line shows first-ranked galaxies; dashed line - second-ranked galaxies; short-dashed line - satellite galaxies; dotted line - isolated galaxies. |
Open with DEXTER | |
In the text |
![]() |
Figure 8: The differential distributions of magnitude differences for group first-ranked and second-ranked galaxies (open circles) and of magnitude differences between isolated galaxies and the faint limit of the visibility window (filled squares). |
Open with DEXTER | |
In the text |
![]() |
Figure 9:
Upper panel: the mean number of galaxies in shifted groups
as a function of distance. Lower panel: restored mean total
luminosities of shifted groups. The solid line shows the results
for groups located initially at distances
|
Open with DEXTER | |
In the text |
![]() |
Figure 10: The restored luminosities of shifted groups, in units of the actual luminosity at the true distance. |
Open with DEXTER | |
In the text |
![]() |
Figure 11: The LFs of the first-ranked and first-ranked+isolated galaxies in different distance intervals (distances are in units of h-1Mpc). The LFs of first-ranked galaxies are shifted to left by 1mag. |
Open with DEXTER | |
In the text |
![]() |
Figure 12:
The differential LFs of first-ranked (upper panel),
isolated (middle panel) and first-raked+isolated (lower panel)
galaxies for samples of different maximum distances
(
|
Open with DEXTER | |
In the text |
![]() |
Figure 13:
Differential LFs for various galaxy populations:
first-ranked, satellite, first-ranked+satellite (group),
first-ranked+isolated, isolated and all galaxies. The points are
LFs, using 2dF galaxy catalogue. Error-bars are Poisson 1- |
Open with DEXTER | |
In the text |
![]() |
Figure 14: The weights used to correct for invisible galaxies outside the observational luminosity window. |
Open with DEXTER | |
In the text |
![]() |
Figure 15: The differential LF of groups (shown by points). The red solid line is the double-power-law fit and the green dashed line is the Schechter function. |
Open with DEXTER | |
In the text |
![]() |
Figure 16: The projected luminosity density distribution of the central area of the 2dFGRS northern sample. The green long-dashed line surrounds the supercluster core region, the blue dashed line - the supercluster region, and the dotted violet line - the filament region, the rest is the void region. The luminous supercluster near the centre of the Figure is SCL126, according to the catalogue by Einasto et al. (1997). |
Open with DEXTER | |
In the text |
![]() |
Figure 17: The evolution of the size of samples of particles, collected in haloes at the present epoch, as a function of redshift z. Present time haloes have been selected in regions of different global density at the present epoch, corresponding to supercluster cores, superclusters, filaments of various global density, and in voids. |
Open with DEXTER | |
In the text |
![]() |
Figure 18: The masses of haloes in regions of different global density at the present epoch. Haloes have been found by the FoF method using the same model as in Fig. 17. |
Open with DEXTER | |
In the text |
![]() |
Figure 19:
Upper panel: The luminosity gap between the first-ranked and
second-ranked galaxies in groups,
|
Open with DEXTER | |
In the text |
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