Issue |
A&A
Volume 518, July-August 2010
Herschel: the first science highlights
|
|
---|---|---|
Article Number | L18 | |
Number of page(s) | 5 | |
Section | Letters | |
DOI | https://doi.org/10.1051/0004-6361/201014691 | |
Published online | 16 July 2010 |
Herschel: the first science highlights
LETTER TO THE EDITOR
LoCuSS: Probing galaxy transformation physics with
Herschel
,![[*]](/icons/foot_motif.png)
G. P. Smith1 - C. P. Haines1 - M. J. Pereira2 - E. Egami2 - S. M. Moran3 - E. Hardegree-Ullman4 - A. Babul5 - M. Rex2 - T. D. Rawle2 - Y.-Y. Zhang6 - A. Finoguenov7,8 - N. Okabe9 - A. J. R. Sanderson1 - A. C. Edge10 - M. Takada11
1 - School of Physics and Astronomy, University of
Birmingham, Edgbaston B15 2TT, UK
2 - Steward Observatory, University of Arizona, 933 North Cherry
Avenue, Tucson, AZ85721, USA
3 - Department of Physics and Astronomy, The Johns Hopkins
University, 3400 N. Charles Street, Baltimore, MD 21218, USA
4 - Rensselaer Polytechnic Institute (RPI) 110 Eighth Street, Troy,
NY 12180, USA
5 -
Department of Physics and Astronomy, University of Victoria, 3800
Finnerty Road, Victoria, BC, Canada
6 - Argelander-Institut für Astronomie, Universität Bonn, Auf
dem Hügel 71, 53121 Bonn, Germany
7 - Max-Planck-Institut für extraterrestrische Physik,
Giessenbachstraße, 85748 Garching, Germany
8 - Center for Space Science Technology, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
9 - Academia Sinica Institute of Astronomy and Astrophysics,
PO Box 23-141, 10617 Taipei, Taiwan
10 -
Institute of Computational Cosmology, University of Durham, South
Road, Durham, DH1 3LE, UK
11 -
Institute for Physics & Mathematics of the Universe,
University of Tokyo, 5-1-5 Kashiwa-no-Ha, Kashiwa City
277-8582, Japan
Received 31 March 2010 / Accepted 19 May 2010
Abstract
We present an early broad-brush analysis of
Herschel/PACS observations of star-forming galaxies in 8
galaxy clusters drawn from our survey of 30 clusters at
.
We define a complete sample of 192 spectroscopically confirmed cluster members down to
and
.
The
average K-band and bolometric infrared luminosities of these
galaxies both fade by a factor of
2 from clustercentric
radii of
2 r200 to
0.5 r200, indicating that
as galaxies enter the clusters ongoing star-formation stops first
in the most massive galaxies, and that the specific
star-formation rate (SSFR) is conserved. On smaller scales the
average SSFR jumps by
25%, suggesting that in cluster
cores processes including ram pressure stripping may trigger a
final episode of star-formation that presumably exhausts the
remaining gas. This picture is consistent with our comparison of
the Herschel-detected cluster members with the cluster
mass distributions, as measured in our previous weak-lensing
study of these clusters. For example, the spatial distribution
of the Herschel sources is positively correlated with the
structures in the weak-lensing mass maps at
significance, with the strongest signal seen at intermediate
group-like densities. The strong dependence of the total cluster
IR luminosity on cluster mass -
- is also consistent with accretion of galaxies and
groups of galaxies (i.e. the substructure mass function) driving
the cluster IR luminosity. The most surprising result is that
roughly half of the Herschel-detected cluster members have
redder
S100/S24 flux ratios than expected, based on the
Rieke et al. models. On average cluster members are redder than
non-members, and the fraction of red galaxies increases towards
the cluster centers, both of which indicate that these colors are
not attributable to systematic photometric errors. Our future
goals include to intepret physically these red galaxies, and to
exploit this unique large sample of clusters with unprecedented
multi-wavelength observations to measure the cluster-cluster
scatter in S0 progenitor populations, and to intepret that
scatter in the context of the hierarchical assembly of
clusters.
Key words: galaxies: clusters: general - galaxies: star formation - Galaxy: evolution - infrared: galaxies
1 Introduction
Lenticular galaxies (hereafter S0s) are mainly found in the cores of galaxy clusters at low redshift (e.g. Dressler et al. 1997; Smith et al. 2005; Postman et al. 2005). There is a broad consensus that they are the descendants of gas rich spiral galaxies that have been accreted from the surrounding filamentary structure. However the physics of how spirals are transformed into S0s remains largely unconstrained, with numerous ``S0 progenitor'' populations (e.g. Moran et al. 2006; Poggianti et al. 2000; Geach et al. 2006; Haines et al. 2009a - hereafter H09a) and physical processes (e.g. Gunn & Gott 1972; Moore et al. 1999) discussed in the literature.
The broad range of cluster-centric radii at which various S0 progenitors are found reflects the fact that different physical processes act in different environments, for example ram pressure stripping is more effective closer to cluster centers where the intracluster medium (ICM) is denser, and galaxy-galaxy merging is more effective in galaxy groups that are falling into the cluster than in the cluster cores. Moreover, the observational signatures of S0 progenitors are diverse, ranging in wavelength from ultraviolet (UV) emission from A stars in galaxies whose star-formation (SF) has been recently quenched, through optical spectral features including Balmer absorption lines, to mid/far-infrared (IR) emission from dust heated by SF (e.g. Moran et al. 2007; Poggianti et al. 2000; Haines et al. 2009b).
Mid- and far-IR properties of cluster galaxies have been studied
previously with IRAS (e.g. Leggett et al. 1987; Doyon & Joseph 1989), ISO (see Metcalfe et al. 2005 for a review), and
Spitzer (e.g. Geach et al. 2006; Fadda et al. 2008; Haines et al. 2009a,b; Bai et al. 2009). A key result from these IR
studies is that a significant fraction of the total SF in galaxy
clusters is obscured by dust. The inferred levels of SF naturally fit
the hypothesis that bulge dominated S0s are descended from late-type
spirals. It has also been suggested that dusty S0 progenitors are
more common in dynamically active, i.e. merging, galaxy clusters than
in so-called ``relaxed'' clusters (e.g. Metcalfe et al. 2005; Geach et al. 2006; Miller et al. 2006). However it has thus far been
difficult to test this idea robustly because the intrinsic scatter in
levels of SF in clusters appears to be large, (as noted by Kodama et al. 2004), and the sample sizes observed to date are small (i.e.
2) within any given redshift bin - although see H09a for a
recent counter-example.
We are therefore conducting a systematic wide-field survey of a large
statistically well-defined sample of galaxy clusters in a narrow
redshift slice at
,
as part of the Local Cluster
Substructure Survey
(LoCuSS
). Our goals are to compile a complete inventory of S0 progenitors using data from the
far-UV to far-IR, and to relate these populations to the underlying
gas physics and hierarchical structure of the host galaxy clusters.
We aim to delineate the different physical processes responsible for
galaxy transformation in clusters and their surrounding large scale
structure, and thus constrain the amplitude of the different physical
pathways from spiral to S0 morphology, and how these relate to the
dynamical state of the clusters. Our open time key programme
observations with Herschel (Pilbratt et al. 2010),
supplemented by existing Spitzer mid-IR observations provide
the all-important measurements of the bolometric IR luminosity and
mid/far-IR colors of dust-reddened/obscured S0 progenitors.
We assume
,
,
.
In this
cosmology
at z = 0.2, subtends 0.3''. All cluster
masses and radii relative to an over-density are derived from the
weak-lensing analysis of Okabe et al. (2010, hereafter Ok10).
2 Survey design
Our survey goals include understanding the physical reasons for the
large cluster-cluster variations in SF rate (SFR), and the full range
of physical processes responsible for transforming spiral galaxies
into S0s. We therefore require a large sample of clusters in order to
sample thoroughly the underlying cluster population and the various S0
progenitor populations that they host. Our sample of 30 clusters
therefore will allow us to study, for example, how total integrated
cluster SFRs depend on global cluster properties such as cool core
strength, and substructure fraction, in 3-6 cluster bins with
5-10 clusters per bin. Based on previous IR and UV studies
of S0 progenitors, we expect
30-50 such objects per cluster.
Our sample of 30 clusters should therefore deliver a sample of
1000 S0 progenitors.
With current observing facilities and observed cluster samples, this
study is prohibitvely expensive at high redshift because of the
requirement for wide-field and moderately deep data on a large sample.
We therefore concentrate on clusters at
;
at this
redshift gravitational lensing is an efficient probe of the dark
matter distribution in the cluster in-fall regions using Suprime-CAM
on the Subaru telescope, and yet follow-up Herschel
observations of a sample of 30 clusters are feasible.
The cluster sample is a subset of those in the ROSAT All-sky
Survey catalogs (Ebeling et al. 1998, 2000; Böhringer et al. 2004)
that satisfy the following criteria:
0.15 < z < 0.3,
,
and
,
and that were observable with
Subaru/Suprime-CAM on the nights assigned to us (Ok10). The sample is
therefore blind to the thermodynamic, and hierarchical assembly
history of the clusters, other than the use of X-ray luminosity as a
proxy for mass-selection. The distribution of the X-ray luminosities
of clusters in our sample is statistically indistinguishable from that
of a volume-limited sample satisfying
,
where the scaling of
LX with
approximates mass-selection following Popesso et al. (2005) - see Ok10 for more details.
Our multi-wavelength observations of this sample (Sect. 3) span at
least a clustercentric radius of
on the sky, equating
to
1.5 r200 for a typical cluster in our sample. This
physical field of view is sufficiently large to probe all of the
physical processes expected to play a role in galaxy transformation within the cluster infall regions
(Fig. 1).
![]() |
Figure 1:
This figure shows simple physically well-motivated models for the relative strength of ram pressure stripping, harassment,
and galaxy-galaxy merging in the eight clusters discussed in this
letter. The vertical black dotted lines show the stripping radius
for each cluster - the radius within which ram pressure is able
to strip a disk galaxy with rotation speed of
|
Open with DEXTER |
3 Observations and data analysis
The 8 clusters discussed in this letter were observed with the
Photodetector Array Camera and Spectrometer (PACS; Poglitsch et al. 2010) across a
field of view at 100 and
in scan map mode at
in November and
December 2009. Each cross scan was repeated 7 times, giving a total
exposure time of
.
We first processed the data using
standard HIPE routines (Ott 2010). Then all sources detected
at
2.5
in the first pass reduced frames were masked using
15'' circular apertures, and the data were high pass filtered with a
filter 25 and 30 frames wide at
and
respectively. The final maps were then constructed using the
PHOTPROJECT routine. The angular resolution of the final maps
is 6.8'' at
and 11.4'' at
.
Sources were extracted using SExtractor, employing circular apertures
of 12'' and 16'' diameter at 100 and
.
The point
spread function in the
frame is slightly de-graded from
that derived from the PACs calibration maps of Vesta, due to imperfect
spatial calibration within scans where bright sources cannot be used
to register the individual exposures. We therefore applied an
empirical aperture correction of
,
based on brightest
isolated sources in the
maps. The standard Vesta aperture
correction of 1.675 was applied at
.
The 90% completeness limits are
at
and
at
.
Calculation of the total IR luminosities
(
)
discussed in Sect. 4 are described by
Haines et al. (2010).
We also use our wide-field data from Spitzer/MIPS (24
;
H09a), UKIRT/WFCAM (J/K-bands; H09a), Chandra (Sanderson et al., 2009), and Subaru/Suprime-CAM (V/i'-bands; Okabe & Umetsu
2008; Ok10). We have spectroscopically identified 92% of the
sources down to the 100
detection threshold using MMT/Hectospec
(Fabricant et al. 2005), in addition to securing
200-300 cluster galaxy redshifts per cluster (Hardegree-Ullman et al., in prep.).
4 Results
![]() |
Figure 2:
K-band luminosity ( |
Open with DEXTER |
We identify 192 Herschel sources down to
and
(Fig. 2)
within a clustercentric radius of
R < 1.5 r200 and lying inside
the caustics in the velocity-radius plane (see Haines et al. 2010 for
an example). Just
% (46/192) of these galaxies are LIRGs
(
)
and none are ultra-luminous IR
galaxies (ULIRGs;
). The most luminous
galaxy is the brightest cluster galaxy (BCG) in A 1835; we also
detect the BCG in A 2390 (Edge et al. 1999; Egami et al. 2006).
The typical galaxy has
and
.
On average, the most
IR-luminous galaxies are found at projected cluster-centric radii of
;
at larger and smaller radii the average
IR-luminosity declines. This trend is mirrored by a decline in the
average K-band luminosity such that
is conserved down to
,
interior
to which the average IR-luminous galaxy jumps from
to
(Fig. 2).
![]() |
Figure 3: Left - Far-IR color-luminosity relation; the color-luminosity relation predicted by the Rieke et al. (2009) SED templates is shown as the black solid line. The vertical and horizontal dashed lines mark the definition of LIRGs, and the nominal color cut discussed in Sect. 4, respectively. Cluster members are shown as filled black circles, and non-members as open purple circles. Center - Cluster virial mass versus bolometric infrared luminosity within the virial radius; the best-fit relation is shown as a solid line. Right - Total IR luminosity density profile relative to total mass density profile (Sect. 4). Strong-lensing clusters (Richard et al. 2010) are plotted as solid curves and non-strong-lensing clusters as dashed curves. The legend lists clusters from most (A 1835) to least (Z 7160) massive. |
Open with DEXTER |
The
S100/S24 colors of the IR-detected galaxies have a
prominent excess of flux at
relative to that expected from
the commonly used Rieke et al. (2009) SED templates (Fig. 3).
Adopting
S100/S24 > 25 as defining this unexpected red
population, we find that
(121/192) of the
spectroscopically confirmed members are ``red'', with
(36/46) of LIRG members, and
(85/146) of sub-LIRG members being ``red'' respectively. The
predominance of red LIRGs is partly expected given the predicted
relationship between luminosity and color, however the observed LIRGs
lie almost exclusively red-ward of the Rieke et al. models. The
fraction of galaxies with red colors also shows a gentle increase
towards the cluster centers:
.
The mean color of the complete sample of 192 Herschel-detected
cluster members,
,
is
also slightly redder than the mean color of 148
Herschel-detected non-members (defined as lying at
from the respective cluster redshifts, but within
0.15 < z < 0.3),
.
Both of these trends suggest a physical origin for the red colors,
rather than systematic photometric errors. Indeed, Rawle et al.
(2010, see also Pereira et al. 2010) find a similar population in the
core of the Bullet cluster. However the small difference between the
color distributions of members and non-members suggest that unraveling
the physical origin of the red colors will require careful analysis of
the environments, and multi-wavelength properties of these galaxies.
The IR luminous population traces the structure of the mass
distribution of the clusters and the surrounding filamentary
structure, as traced by Ok10's weak-lensing mass maps (Fig. 4). This
is quantified using the number density of galaxies (normalized to the
mean galaxy number density in each case) as a function of projected
cluster mass density obtained from the mass maps (Fig. 4). A
spatially random distribution of galaxies is consistent with unity;
positive correlation between galaxies and mass is greater than unity,
and anti-correlation is less than unity. We detect correlation
between the spatial distribution of the IR luminous cluster members
and the cluster mass distributions at
significance.
We also combine the Herschel data with Ok10's weak-lensing
analysis to construct the first ever mass-
relation for
galaxy clusters (Fig. 3), obtaining
,
with
.
The fit was done taking into account
errors in both variables, and was repeated 104 times, each time
drawing 8 clusters at random with replacement; the error quoted on the
slope is dominated by the scatter between these bootstrap samples.
The mass-to-light ratio of a
cluster is
,
however the scaling of mass with far-IR
luminosity is inconsistent with a constant mass-to-light ratio at
.
Cluster IR luminosity density profiles, normalized to the underlying
dark matter density profile from Ok10, are generally increasing
functions of clustercentric radius out to at least r200 (Fig. 3).
IR luminosity in excess of that expected from a flat mass-to-light
ratio profile is therefore found at large clustercentric radii,
particularly at
,
where some of the
profiles show a pronounced peak. We also note that strong-lensing
clusters (A 1835, A 1689, A 2219, A 2390) tend to have steeper
mass-normalized luminosity density profiles than non-strong-lensing
clusters, three of which are well-known merging clusters (A 1763,
A 1758, A 1914) in which the merger axis is likely close to the
plane of the sky. Cluster geometry, e.g. prolate shape and/or merger
aligned with the line of sight (strong-lensing clusters) versus
aligned in the plane of the sky, therefore may complicate the
detailed interpretation of the luminosity density profile shapes.
5 Summary and discussion
We have presented an initial broad-brush analysis of
Herschel/PACS observations of 25% of our sample of 30 galaxy
clusters at
,
and combined these data with our existing
Spitzer, Subaru, Chandra, UKIRT, and MMT data. The main
analysis concentrates on a sample of 192 spectroscopically confirmed
cluster members with
,
,
R < 1.5 r200. The average K-band
luminosity of these galaxies fades by a factor of almost 2 from the
cluster outskirts (
)
to the cluster cores
(
), although the average specific star-formation
rate, as probed by
,
is constant across most of
this radial range (
), before jumping by 25% on
smaller scales. This suggests that as gas rich galaxies fall into the
clusters (typically in groups - Fig. 1) ongoing star-formation stops
first in the most massive galaxies. As galaxies reach the cluster
cores physical processes that operate in high density environments,
for example ram pressure stripping and harrassment, then appear to
trigger a final episode of star-formation that presumably exhausts the
remaining gas supply.
This picture is consistent with our comparison of the
Herschel-detected cluster members with the cluster mass
distributions, as probed by Okabe et al.'s (2010) weak-lensing
analysis. First, the spatial distribution of the Herschel
sources is positively correlated with the structures in the
weak-lensing mass maps at
significance, with the
strongest signal seen at intermediate, group-like densities. Second,
the strong dependence of the total cluster IR luminosity on cluster
mass (
)
is consistent with
accretion of galaxies and groups of galaxies driving the cluster IR
luminosity. This is because, assuming that IR galaxy mass-to-light
ratios are independent of the cluster mass, the scaling relation can
be understood as stemming from the M2 dependence of the
substructure mass function seen in theoretical models (e.g. Taylor &
Babul 2005). Third, the IR luminosity density profiles of the
clusters generally increase to large radii, with some clusters showing
a peak at
.
This is qualitatively consistent with the
enhanced star-formation rates seen in in-falling galaxy populations by
Moran et al. (2005).
The most surprising result is that roughly half of the
Herschel-detected cluster galaxies have excess flux at
over that predicted from current SED models. Cluster
members are redder than non-members, and we find a shallow trend of
increasing fraction of red IR galaxies towards the cluster centers,
both of which suggest that this is a physical effect and not caused by
systematic photometric uncertainties. This result will be the focus
of more detailed future investigation.
Finally, we note that, contrary to previous speculation in the literature, we do not find a strong relationship between cluster IR luminosity and cluster dynamical state. Observations of the full sample will allow us to investigate this issue in more detail.
AcknowledgementsWe acknowledge the anonymous referee for helping us to clarify various aspects of this letter. We thank our colleagues within the LoCuSS collaboration for many stimulating discussions, and their enthusiastic support. G.P.S. is supported by the Royal Society. C.P.H. and A.J.R.S. thank STFC for some support. Support for this work was provided by NASA through an award issued by JPL/Caltech. Y.Y.Z. is supported by the German BMBF through the Verbundforschung under grant 50 OR 1005.
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Online Material
![]() |
Figure 4:
Left - Weak lensing mass maps (contours, spaced at 1 |
Open with DEXTER |
Footnotes
- ...Herschel
- Herschel is an ESA space observatory with science instruments provided by European-led Principal Investigator consortia and with important participation from NASA.
- ...
- Figure 4 is only available in electronic form at http://www.aanda.org
- ...
(LoCuSS
- http://www.sr.bham.ac.uk/locuss/
All Figures
![]() |
Figure 1:
This figure shows simple physically well-motivated models for the relative strength of ram pressure stripping, harassment,
and galaxy-galaxy merging in the eight clusters discussed in this
letter. The vertical black dotted lines show the stripping radius
for each cluster - the radius within which ram pressure is able
to strip a disk galaxy with rotation speed of
|
Open with DEXTER | |
In the text |
![]() |
Figure 2:
K-band luminosity ( |
Open with DEXTER | |
In the text |
![]() |
Figure 3: Left - Far-IR color-luminosity relation; the color-luminosity relation predicted by the Rieke et al. (2009) SED templates is shown as the black solid line. The vertical and horizontal dashed lines mark the definition of LIRGs, and the nominal color cut discussed in Sect. 4, respectively. Cluster members are shown as filled black circles, and non-members as open purple circles. Center - Cluster virial mass versus bolometric infrared luminosity within the virial radius; the best-fit relation is shown as a solid line. Right - Total IR luminosity density profile relative to total mass density profile (Sect. 4). Strong-lensing clusters (Richard et al. 2010) are plotted as solid curves and non-strong-lensing clusters as dashed curves. The legend lists clusters from most (A 1835) to least (Z 7160) massive. |
Open with DEXTER | |
In the text |
![]() |
Figure 4:
Left - Weak lensing mass maps (contours, spaced at 1 |
Open with DEXTER | |
In the text |
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