A&A 442, 117-124 (2005)
DOI: 10.1051/0004-6361:20041448
B. Kelm1 - P. Focardi1 - G. Sorrentino2
1 - Dipartimento di Astronomia, Università di Bologna, V. Ranzani 1,
40127 Bologna, Italy
2 -
INAF - Osservatorio Astronomico di Capodimonte, V. Moiariello 16, 80131 Napoli, Italy
Received 10 June 2004 / Accepted 19 June 2005
Abstract
We examine the relative fractions of passive
(type 1), quiet-SF (type 2) and active-SF (type 3+4) galaxies as a function of
luminosity and number of neighbours in several volume-limited samples selected from the 2dFGRS.
Neighbours are counted within 1
h75-1 Mpc projected distance
and
1000 km s-1 depth. We apply a maximum magnitude difference
criterion and require neighbours to be fainter than the galaxy itself.
We show that, whatever the environment, passive galaxies dominate in bright samples and active-SF galaxies in faint samples, whereas quiet-SF galaxies
never dominate. We further show that in bright samples (MB - 5
h75
- 19) the fraction of passive galaxies grows steadily
with fainter neighbour density, whereas in faint samples a threshold-like
dependence is observed. This suggests that the spectral-type/density
(
morphology/density) relation extends to the intermediate dense
environment, but only in the surroundings of luminous galaxies and that it
reflects an enhancement of the number of satellites rather than stronger
clustering among galaxies themselves. Our analysis indicates that, in general,
luminosity is a good tracer of galaxy halo mass and that it dominates over
environment (satellite density) in setting the spectral type
mix of a population. However, minority populations exist, such as luminous
SF galaxies and faint passive galaxies, whose luminosity is an inaccurate
tracer of halo mass.
Key words: galaxies: general - galaxies: fundamental parameters - galaxies: stellar content - galaxies: statistics - galaxies: clusters: general
In this paper we investigate the relation linking the galaxy spectral type mix
with both luminosity and local environment.
Specifically we explore 1) how the spectral-type/luminosity
relation varies as a function of environment; and 2) how the
spectral-type/satellite-density relation varies as a function of
luminosity. We use data from the 2dF
to select 10 different volume limited samples, covering a wide luminosity range
(
).
We evaluate for each galaxy the neighbour density on the characteristic scale of galaxy
groups (
1
h75-1 Mpc) which further corresponds to the present day
typical virial radius of halos.
Galaxy properties are expected to correlate most strongly with densities
evaluated on this scale, also from a theoretical standpoint
(Blanton et al. 2005b; Kauffmann et al. 2004; Berlind et al. 2005).
At variance with previous analysis we compute neighbour density applying a
maximum magnitude difference criterion and count neighbours over a 2 mag interval.
The adopted range in magnitude reduces the number of galaxies that have no
neighbours, on a group scale, to
15% and associates
most galaxies (2/3) with a number of neighbours (
)
that
matches the typical observed environment of galaxies in groups.
We also limit neighbour computation to galaxies that
are fainter than (or equally luminous to) the galaxy itself. Usually,
when computing density in volume-limited samples, no distinction is made
between brighter and fainter neighbours.
This implies that, within the same volume-limited sample, the density definition depends on luminosity:
the environment of luminous galaxies is defined by fainter neighbours
whereas the environment of low luminous galaxies is defined
by brighter neighbours.
But, obviously, the impact of a brighter or a fainter companion
on a galaxy is different.
Less massive companions have likely been, or will be, accreted by the galaxy halo,
whereas more massive companions will likely accrete the galaxy and destroy its halo.
Our density definition is luminosity-independent. For luminous galaxies, the environment on the 1 h75-1 Mpc scale is likely to correspond to the density of satellites that have been captured by the galaxy halo. Conversely, for low luminous galaxies, it likely corresponds to the clustering of small halos among themselves, or, in the case of a galaxy swallowed up in the halo of a bigger companion, for the richness of satellites within this large halo.
In Sect. 2 we present the sample, in Sect. 3 we discuss the link
between density distribution and luminosity.
In Sects. 4 and 5 we explore the dependence on density of the
spectral-type/luminosity relation.
In Sect. 6 we investigate the dependence on luminosity of the
spectral-type/density relation.
The summary and conclusions are given in Sect. 7.
We assume
,
,
and
h75 = H0/(75 km s-1 Mpc-1) = 1.
Each 2dF galaxy spectrum is typed on the basis of the relative
strength of its first two principal components
(for details on the PCA see Folkes et al. 1999), which are the emission
and absorption components within the spectrum.
The parameter
(Madgwick et al. 2002)
is the linear combination of these two components.
Qualitatively
is an indicator of the ratio of the present to the past
star-formation activity of each galaxy, but it is
reliable only for
.
Clusters are dominated by galaxies with the lowest
values,
whereas the field contains a much larger proportion of galaxies with higher
(
)
values.
The median
correlates with morphological classes, (low
are
typically early type galaxies, high
late type galaxies)
although there is a large scatter in the
values of spectra that lie
within a given morphological class.
As in Madgwick et al. (2002) we divide the
scale into 4 intervals:
For each 2dF galaxy (random fields excluded) with
we have automatically identified neighbours
within 1
h75-1 Mpc projected distance and
1000 km s-1 depth.
We count as neighbours all galaxies fainter than the galaxy itself
that satisfy a maximum magnitude difference criterion
(
).
We reject from the sample all galaxies
whose 2 magnitude fainter companions would fail the 2dF selection
criteria.
The minimum fiber separation of the 2dF survey (
30
)
tends to
reduce the number of close neighbours of galaxies, a bias that might affect
passive galaxies more severely than SF galaxies.
However, the bias is likely marginal as this separation corresponds to less
than one-tenth of the explored distance even for the highest redshift galaxies.
The final sample includes
14 000 galaxies in the redshift
range
,
and absolute magnitude
range
.
Absolute magnitudes are computed adopting the
k-correction as in Magdwick et al. (2002), which varies with
galaxy spectral-type.
We split the sample into 10 different volume-limited subsamples,
covering a 1 mag range each and overlapping by 0.5 mag.
Since the k-corrections are class
dependent, the
and
values corresponding to a given absolute magnitude range are also class
dependent. Hence, the volumes defining the samples for two different
spectral classes, for the same bin in absolute magnitude, will not exactly
coincide (see also Norberg et al. 2002a).
Table 1 lists the spectral-type composition in each
volume limited sample.
The gap between galaxies in the faintest and the brightest volume limited
samples corresponds to a factor
150 in luminosity.
Table 1: Spectral-type content of the volume limited samples. Each sample spans a one magnitude range, and overlaps by 0.5 mag with the next one. MB corresponds to the central value of the magnitude in each bin.
Table 2: Spectral-type content of the volume-limited samples as a function of neighbour density.
The relation linking luminosity and fainter neighbour density is shown in Fig. 1. Distributions of passive, quiet-SF, active-SF and all-type galaxies, normalized to the total number of galaxies of a given type, are shown, for the 10 volume-limited samples. The last column of Fig. 1 shows that in a composite (all-type) population, the number of fainter neighbours associated with galaxies is a weak function of luminosity. This recalls the result by Zehavi et al. (2002), showing that all-type galaxy subsamples in 3 distinct absolute magnitude ranges have real-space correlation functions that are parallel power-laws.If we assume that for luminous galaxies, the environment on a 1 h75-1 Mpc scale essentially stands for the density of satellites that have been captured by the galaxy halo whereas for faint galaxies, it stands for the number of neighbour galaxies still in their own small halo, then Fig. 1 actually indicates that the distribution of satellites surrounding luminous central galaxies within large halos, and the distribution of fainter companions surrounding low luminous galaxies, are almost self similar. This implies that without information on the luminosity of the galaxies, the neighbour density distribution of galaxies (on 1 h75-1 Mpc scale) cannot be used to discriminate between massive group-size halos and associations of galaxies in distinct small-size halos.
Figure 1 also clearly shows that at all luminosities,
passive and SF galaxies exhibit different distributions
and that the excess of companions surrounding passive
galaxies is not limited to luminous galaxies
(Norberg et al. 2002a; Hogg et al. 2003; Berlind et al. 2005; Blanton et al. 2005a)
but is instead a general characteristic of passive galaxies.
The all-type galaxy distribution reflects
the passive population at the bright end, and the star-forming galaxy
population at the faint end.
Our assumption that luminous galaxies are central galaxies within group-size
halos and faint galaxies are central galaxies within small size halos is
therefore further consistent with
the expectation that the SFR of a galaxy is a decreasing
function of its halo mass.
![]() |
Figure 1: Relative distributions of passive (type 1), quiet-SF (type 2), active-SF (type 3 + 4) and all-type galaxies as a function of number of fainter neighbours (in 4 intervals), for the 10 volume limited samples. Numbers are normalized to the total number of galaxies of a given type: for each spectral type the sum over all environments is 1. The number of neighbour distribution, in the all-type galaxy sample, undergoes no significant modification with luminosity. |
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However SF galaxies are found among bright galaxies and passive galaxies among faint ones. How can we explain their existence? We will assume that luminous SF galaxies are hosted in small mass halos; they may exhibit several neighbours, but, at variance with luminous passive galaxies, neighbours are not embedded within the galaxy halo. As a consequence optically selected passive dominated groups are predicted to be systematically more massive than optically selected SF dominated groups (Kelm & Focardi 2004a,b; Mulchaey et al. 2003). Similarly, we explain the existence of low luminous passive galaxies assuming that they are satellites embedded within the halo of a large (group-size) system. Actually, the large fraction of faint passive galaxies with >8 neighbours among faint galaxies (see Table 2) suggests that this population is tracing a large potential well (Norberg et al. 2002a; Hogg et al. 2003; Berlind et al. 2005; Zehavi et al. 2005; Jing & Borner 2004), with the galaxy and all of its fainter neighbours having been accreted by a massive system.
The stronger clustering of passive galaxies relative to SF galaxies, on the group scale, appears to arise from two distinct contributions. At the luminous end, it is due to an excess of satellites surrounding central galaxies inside large halos. At the faint end it is due to an excess of satellites that are strongly correlated among themselves.
![]() |
Figure 2:
The relative content in passive, quiet-SF and
active-SF galaxies in the 10 volume-limited samples.
Error bars are multinomial.
The 40% fraction line is drawn to reveal "dominant'' populations.
Passive galaxies dominate in bright samples, active-SF
galaxies in faint samples, quiet-SF galaxies are never dominant.
The contribution of the 3 populations is comparable in the
MB - 5 |
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![]() |
Figure 3: Relative content in passive, quiet-SF and active-SF galaxies in the 10 volume-limited samples (symbols as in Fig. 2). Each panel refers to galaxies in a specific neighbour density bin. The absence of satellites (neigh = 0) efficiently reduces the dominance of passive galaxies in luminous samples, raising the contribution of quiet-SF galaxies. Conversely, a high density environment (neigh > 8) significantly enhances the contribution of passive galaxies in faint samples. |
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The horizontal line in Fig. 2 denotes the 40% fraction:
points above this threshold mark dominant populations.
Passive galaxies are "dominant'' in galaxy samples
brighter than
,
active-SF galaxies
are "dominant'' in samples fainter than
.
Contributions from different spectral-type populations are comparable in
the [
]
magnitude bin.
These trends
confirm that star-formation activity in the local universe
definitely is a characteristic of low luminosity galaxies.
In Fig. 3 we break down the contributions of passive and SF galaxies to the Fig. 2 plot into their contributions from systems exhibiting different numbers of fainter neighbours. This allows us to explore how strongly the relative fraction of passive and SF galaxies depends on environment. If the dominance of passive galaxies at high luminosity and the dominance of active-SF galaxies at low luminosity were independent of neighbour density, we would expect all panels in Fig. 3 to be similar. This is not the case, however, differences among panels are modest: whatever the number of satellites, bright samples are dominated by passive galaxies, and faint samples by active-SF ones.
Therefore, in general, luminosity dominates over neighbour
multiplicity in setting the spectral-type mix of a galaxy population.
A luminous galaxy might have few or many satellites, but will
likely trace a deep potential.
A faint galaxy might have few or many neighbours but will likely trace a shallow potential.
It is only in extreme environments that the mix set by luminosity is significantly modified:
galaxies with
have their star-formation level (a typical active-SF one)
suppressed even in faint samples, whereas isolated (neigh = 0) galaxies are
still 40% likely to be star-forming (quiet-SF)
at MB - 5
.
These trends are consistent with result discussed in Sect. 3, namely
that "minority'' population can be identified in very
luminous and very faint samples whose luminosities
are inaccurate tracers of their halo mass:
luminous SF galaxies trace small (sub-group size) halos,
whereas faint passive galaxies trace massive (group/cluster size)
halos.
![]() |
Figure 4:
Relative content in passive ( top-left), quiet-SF ( top-right)
and active-SF ( bottom-left) galaxies in samples of galaxies
in different environments.
Continuum lines are used to connect galaxy fractions
with 0 and >8 neighbours, dotted and hatched lines to connect galaxy
fractions in intermediate dense environments (1 |
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Figures 2 and 3 also provide evidence that fractions of active-SF and quiet-SF galaxies exhibit distinct trends with luminosity: the fraction of active-SF galaxies decreases towards increasing luminosity, while the fraction of quiet-SF galaxies is nearly independent of luminosity, except for the most luminous samples. While Fig. 1 indicates that the dependence on density is the same for quiet-SF and active-SF galaxies (Madgwick et al. 2003), Figs. 2 and 3 indicate that the dependence on luminosity is different. The data thus suggest a bimodal behaviour for galaxies with satellite-density and a "trimodal'' behaviour (passive, quiet-SF, and active-SF) with luminosity. Bimodality in the distribution of galaxies properties has been addressed in many recent papers (Strateva et al. 2001; Hogg et al. 2002; Balogh et al. 2004b; Berlind et al. 2005; Blanton et al. 2005a).
Figure 4 shows that in luminous samples the fraction of isolated passive galaxies (neigh = 0) is always below the fraction of passive galaxies with neigh > 8, and that the gap does not depend on luminosity. A similar specular large gap is observed for quiet-SF galaxies, whereas the gap is smaller for active-SF galaxies. A smaller, but still significant, gap is observed between the neigh = 0 and the neigh = 3-8 lines, in passive and quiet-SF galaxy samples. The size of the gap is, again, nearly luminosity independent. Conversely, no gap is associated with active-SF galaxies.
In faint samples (
), passive and active-SF
galaxies exhibit a large gap between the neigh = 0 and the neigh > 8
lines, whereas no gap is associated with the neigh = 0 and neigh = 3-8 transition.
Again, a distinct behaviour is observed for active-SF and quiet-SF galaxies,
the latter being equally frequent in all environments.
In summary, Fig. 4 indicates that a continuous parameterization of neighbour multiplicity (from 0 to 1-2 to 3-8 to >8) is indeed meaningful for bright samples, where neighbours are mainly satellites, as it relates to different fractions of passive and quiet-SF galaxies. In faint samples, however, a threshold-like density parameterization appears to describe the galaxy behaviour better than a continuous one. This suggests that a continuous relation linking spectral-type with density only occurs when computing the density of satellites surrounding very luminous galaxies and implies that the spectral-type/density relation traces an enhanced correlation inside massive halos rather than an enhanced correlation between distinct halos.
The
magnitude is a critical one:
it corresponds to the luminosity at which the dependence on
satellite-density moves from continuous to threshold-like, and also
to the luminosity
where fractions of active-SF galaxies become larger than the fractions of quiet-SF
galaxies (see Fig. 2). Therefore it corresponds to the luminosity above
which samples of passive galaxies exhibit a dependence on
fainter neighbour
density that is specular relative to that of quiet-SF galaxies,
and below which passive galaxies are specular to active-SF galaxies.
This is consistent with the
finding (Norberg et al. 2002a; Balogh et al. 2004a) that, for low luminosity galaxies,
clustering is a strong function of color, while for luminous galaxies
clustering is a strong function of luminosity.
![]() |
Figure 5: The spectral-type/satellite-density relation for passive, quiet-SF and active-SF galaxies in the 9 brightest samples. Symbols are as in Fig. 2, small dots indicate the cumulative contribution of active and quiet-SF galaxies. Fractions have been computed using values listed in Table 2, normalized to the total number of galaxies in a given density bin so that, in each environment, the sum over all spectral types is 1. |
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Figures 5 provides evidence that
the fractional increase of passive galaxies between extreme densities is a
universal characteristic of galaxies that does not depend on luminosity.
What depends on luminosity is the fractional increase (decrease) of passive
(SF) galaxies between neigh = 0 and a group-like density (neigh = 3-8).
The increase (decrease) is not observed in samples fainter than
-19.
This supports our claim that the spectral-type/density relation is actually a
process linked to the accretion of satellites by large massive halos,
and not to enhanced correlation between distinct halos.
Figures 4 and 5 also indicate that the efficient formation of faint passive galaxies is a threshold process that only occurs in systems where a galaxy has a very large number of neighbours; it does not proceed gradually with neighbour density. Clearly this suggest that mechanisms acting only in clusters (ram pressure and stripping) are more efficient than those acting also in groups (galaxy interactions) in generating faint passive galaxies.
Finally Fig. 5 indicates that the neighbour density range corresponding to the
intersection between early-type and late-type galaxies moves towards richer
regions as the luminosity of the samples decreases.
At
passive galaxies
appear more numerous than SF galaxies even at the lowest densities (neigh = 0).
At
equipartition is
reached at group-like densities (neigh = 3-8). At
equipartition is never reached; passive
galaxies are no more than one-third of the population even in the densest
environment (neigh > 8).
This confirms that, on the group scale, luminosity generally dominates over
environment in setting the spectral type mix of a population.
The result is complementary to the finding (Norberg et al. 2002a)
that luminosity, and not type, is the dominant factor in determining how
the clustering strength of the whole galaxy population varies with
luminosity. However, because in luminous (faint) samples galaxies are
mainly passive (active-SF), the correlation with type is strong at both the
high and low luminosity end.
Given the correlation between spectral-type and morphology (Madgwick et al. 2002), Fig. 5 also likely illustrates a strong dependence of the morphology/density relation (Davis & Geller 1976; Dressler 1980; Postman & Geller 1984; Maia & da Costa 1990; Helsdon & Ponman 2003) on luminosity. Nevertheless, to prove this dependence for the morphology/density relation might be difficult as the correlation between environment and stellar age (color and spectral-type) appears stronger than the correlation between environment and morphology (Willmer et al. 1998; Kauffmann et al. 2004; Blanton et al. 2005a).
We have shown that the local density distribution for the all-type galaxy sample is approximately luminosity-independent over the whole explored luminosity range. This indicates that, at least on a 1 h75-1 Mpc scale, the number of neighbours associated with a galaxy is very similar, whether it reflects the number of satellites accreted by a luminous galaxy halo or the number of neighbours of low luminosity galaxies still in their original small halos.
We have also found that that the excess of fainter companions surrounding passive galaxies is not limited to luminous galaxies (Norberg et al. 2002a; Hogg et al. 2003; Berlind et al. 2005; Blanton et al. 2005a) but is instead a general characteristic of passive galaxies. The stronger clustering of passive galaxies relative to SF galaxies, on the group scale, appears to arise from two distinct contributions. At the luminous end, it is due to an excess of satellites surrounding central galaxies inside large halos. At the faint end it is due to an excess of satellites that are strongly correlated among themselves.
We have shown that the global spectral-type/luminosity relation (Fig. 2) is not significantly altered in subsamples exhibiting different satellite densities. Whatever the environment, passive galaxies (type 1) numerically dominate in luminous samples, and active-SF galaxies (type 3 + 4) numerically dominate in faint ones. In contrast, the relative content in quiet-SF galaxies shows a weak dependence on luminosity. Only galaxies in extreme environments exhibit significant departures from these general trends: in dense environments (neigh > 8) a significant fraction of passive galaxies is observed even among faint galaxies, whereas among isolated galaxies (neigh = 0), quiet-SF (type 2) galaxies still represent a 40% fraction of the luminous population. We suggest that these "minority'' populations, identified in very luminous and very faint samples, are poor tracers of halo mass: luminous SF galaxies are actually tracers of small (sub-group scale) halos, whereas faint passive galaxies are tracer of massive (group/cluster scale) halos.
Our analysis provides evidence for the existence of a global spectral-type/satellite-density relation, with the fraction of passive galaxies steadily growing (and the fraction of quiet-SF galaxies steadily decreasing) when moving from an isolated galaxy sample to galaxies with cluster-like neighbour density. But we have also shown that this relation only holds in luminous samples; in faint samples the variation in the fractional content of passive (SF) between the neigh = 0 and the intermediate dense (neigh = 3-8) environments is not observed: the dependence on environment becomes threshold-like, and very dense environments are required to observe a variation in the spectral-type mix. This suggests that the morphology/density relation is likely a morphology/satellite-density relation, that traces enhanced correlation inside single massive halos rather than enhanced correlation between distinct halos.
Acknowledgements
We thank A. Berlind, A. Biviano, R. De Propris, T. Goto and C.N.A. Willmer for comments and suggestions. We are also indebted to the anonymous referee whose comments and criticism greatly improved the scientific content of this paper. This work was supported by MIUR, B.K. acknowledges a fellowship from Bologna University.