Issue |
A&A
Volume 508, Number 2, December III 2009
|
|
---|---|---|
Page(s) | 583 - 591 | |
Section | Cosmology (including clusters of galaxies) | |
DOI | https://doi.org/10.1051/0004-6361/200913099 | |
Published online | 27 October 2009 |
A&A 508, 583-591 (2009)
Multi-wavelength study of XMMU J2235.3-2557: the most massive galaxy
cluster at z > 1
P. Rosati1 - P. Tozzi2,13 - R. Gobat3 - J. S. Santos2 - M. Nonino2 - R. Demarco5 - C. Lidman4,14 - C. R. Mullis7 - V. Strazzullo6 - H. Böhringer9 - R. Fassbender9 - K. Dawson8 - M. Tanaka1 - J. Jee12 - H. Ford11 - G. Lamer10 - A. Schwope10
1 -
European Southern Observatory, Karl Schwarzschild Strasse 2, 85748 Garching bei Muenchen, Germany
2 -
INAF-Osservatorio Astronomico di Trieste, via Tiepolo 11, 34131 Trieste, Italy
3 -
CEA, Laboratoire AIM-CNRS-Université Paris Diderot, Irfu/SAp, Orme des Merisiers, 91191 Gif-sur-Yvette, France
4 -
European Southern Observatory, Alonso de Cordova 3107, Casilla 19001, Santiago, Chile
5 -
Department of Astronomy, Universidad de Concepción. Casilla 160-C, Concepción, Chile
6 -
National Radio Astronomy Observatory, PO box O, Socorro, NM 87801, USA
7 -
Wachovia Corporation, NC6740, 100 N. Main Street, Winston-Salem, NC 27101, USA
8 -
Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA
9 -
Max-Planck-Institut für extraterrestrische Physik,
Giessenbachstraße, 85748 Garching, Germany
10 -
Astrophysikalisches Institut Potsdam (AIP), An der Sternwarte 16, 14482 Potsdam, Germany
11 -
Department of Physics and Astronomy, Johns Hopkins University, Baltimore, MD21218, USA
12 -
Department of Physics, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA
13 -
INFN, National Institute for Nuclear Physics, Trieste, Italy
14 -
The Oskar Klein Centre, Stockholm University, 106 91 Stockholm, Sweden
Received 10 August 2009 / Accepted 12 October 2009
Abstract
Context. The galaxy cluster XMMU J2235.3-2557 (hereafter XMM2235), spectroscopically confirmed at z=1.39,
is one of the most distant X-ray selected galaxy clusters. It has been
at the center of a multi-wavelength observing campaign with ground and
space facilities.
Aims. We characterize the galaxy populations of passive members,
the thermodynamical properties and metal abundance of the hot gas, and
the total mass of the system using imaging data with HST/ACS (i775 and z850 bands) and VLT/ISAAC (J and
bands), extensive spectroscopic data obtained with VLT/FORS2, and deep (196 ks) Chandra observations.
Methods. Chandra data allow temperature and
metallicity to be measured with good accuracy and the X-ray surface
brightness profile to be traced out to 1
(or 500 kpc), thus allowing the mass to be reliably estimated. Out
of a total sample of 34 spectroscopically confirmed cluster
members, we selected 16 passive galaxies (without detectable
[OII]) within the central 2
(or 1 Mpc) with ACS coverage, and inferred star formation
histories for subsamples of galaxies inside and outside the core by
modeling their spectro-photometric data with spectral synthesis models.
Results. Chandra data show a regular elongated
morphology, closely resembling the distribution of core galaxies, with
a significant cool core. We measure a global X-ray temperature of
kT = 8.6-1.2+1.3 keV (68%
confidence), which we find to be robust against several systematics
involved in the X-ray spectral analysis. By detecting the rest frame
6.7 keV Iron K line in the Chandra spectrum, we measure a metallicity
.
In the likely hypothesis of hydrostatic equilibrium, we obtain a total mass of
.
By modeling both the composite spectral energy distributions and
spectra of the passive galaxies in and outside the core, we find a
strong mean age radial gradient. Core galaxies, with stellar masses in
excess of
,
appear to have formed at an earlier epoch with a relatively short star formation phase (z=5-6),
whereas passive galaxies outside the core show spectral signatures
suggesting a prolonged star formation phase to redshifts as low as
.
Conclusions. Overall, our analysis implies that XMM2235 is the hottest and most massive bona-fide cluster discovered to date at z>1,
with a baryonic content, both its galaxy population and intracluster
gas, in a significantly advanced evolutionary stage at 1/3 of the
current age of the Universe.
Key words: galaxies: clusters: individual: XMMU J2235.3-2557 - galaxies: evolution - galaxies: high-redshift - X-rays: galaxies: clusters
1 Introduction
Over the past two decades, considerable effort has been devoted to
discovering ever more distant galaxy clusters using different
observational methods (e.g. Rosati et al. 2002, for a
review). These studies have been traditionally
motivated by cosmological applications of the cluster abundance at
high redshift (e.g. Voit 2005, for a review), and
also by the use of clusters as laboratories to investigate galaxy
evolution. Clusters provide a convenient and efficient way of studying
large populations of early-type galaxies, which provide stringent
tests on galaxy evolution models in the current hierarchical formation
paradigm (Renzini 2006), because they are the most
massive galaxies with the oldest stellar populations (at least out to
). Clearly, the higher the redshift the stronger the
leverage on theoretical models. In addition, galaxy properties in
clusters can be contrasted with those in field surveys, which have
multiplied in recent years, thus extending the baseline over which
environmental effects can be studied.
X-ray selection of clusters has been central in these studies, as it
naturally provides gravitationally bound systems (as opposed to simple
overdensities of galaxies) with a relatively simple selection
function. Using ROSAT serendipitous surveys, supported by near
IR imaging and spectroscopy with 8-10 m class telescopes, the redshift
envelope was pushed to z=1.3, with only 5 clusters discovered at
z>1, approximately one per square degree
(Rosati et al. 2002). The extension of the same technique to
XMM-Newton serendipitous surveys has led to the discovery of two clusters
at z>1.3 to date, XMMU J2235.3-2557 at z=1.39(Mullis et al. 2005) (hereafter M05) and XMMXCS J2215.9-1738
at z=1.46 (Stanford et al. 2006). See also
Lamer et al. (2008) for a newly discovered, high X-ray
luminosity massive cluster at .
With the advent of the Spitzer observatory, an alternative and efficient way to unveil distant clusters over large areas (as red galaxy overdensities in the IRAC and optical bands) has been developed. This technique has given notable results, with three clusters spectroscopically confirmed at z>1.3 in the IRAC Shallow Survey (ISCS, Eisenhardt et al. 2008) and one in the SpARCS survey (Wilson et al. 2009).
Detailed investigations of galaxy populations in the X-ray
luminous clusters at z>1 have been conducted with HST/ACS in
combination with the VLT and the Keck telescopes. The study of clusters at
z=1.10, 1.24, 1.26, 1.27 (Mei et al. 2009,2006; Demarco et al. 2007) and the aforementioned
systems at z=1.39 (Lidman et al. 2008) and z=1.46(Hilton et al. 2009), have revealed tight red sequences for the
early-type galaxies, with scatters only marginally larger than those
in local clusters, implying that most of their stellar mass was
assembled at z>3 with passive evolution thereafter. While a change
in the morphology-density relation of early type galaxies (E+S0
galaxies) has been observed at ,
elliptical galaxies
still dominate the cluster galaxy population up to
(Postman et al. 2005; Holden et al. 2007).
A comparison of cluster and field early-types of similar stellar mass
has revealed a mild but significant difference between the star
formation histories in the two environments
(e.g. van Dokkum & van der Marel 2007; Gobat et al. 2008; Rettura et al. 2008),
a result which is predicted by current hierarchical galaxy formation
models (e.g. Menci et al. 2008). To date, such comparative
studies can only be carried out at ,
whereas the
existence of a substantial population of old, massive, passively
evolving early-type galaxies in the field is now well established up
to
(Kriek et al. 2006; Cimatti et al. 2008).
By pushing cluster studies to higher redshifts, where evolutionary time scales become comparable to the age of the Universe at these redshifts, one would expect to detect significant evolutionary effects. However, as discussed in this paper, this has not been the case so far, even after probing two-thirds of the look-back time, not only for the galaxy populations but also for the thermodynamical properties and chemical enrichment of the hot gas measured with follow-up Chandra observations in z>1 clusters.
Our current understanding is that relations, such as the red sequence
in the color-magnitude diagram, the morphology-density relation, the
relation for the intracluster gas, emerge at
.
For example, the study of a proto-cluster at z=2.16 identified
around a powerful radio galaxy provided evidence of a forming red
sequence (Zirm et al. 2008; Kodama et al. 2007), which likely
takes 1-2 Gyr to form (Gobat et al. 2008). It is unfortunate
that such a transition in the assembly process of galaxy clusters
seems to occur in a redshift range where spectroscopic observation are
particularly difficult.
In this spirit, we have carried out a multi-wavelength study of one
the most distant clusters known, XMMU J2235.3-2557 (hereafter
XMM2235) at z=1,39, which was the first distant cluster confirmed
(M05) as part of the on-going XMM-Newton Distant Cluster Project
(XDCP, Fassbender 2007; Boehringer et al. 2005). In this
paper, we use spectro-photometric observations of XMM2235 in the
optical/near-IR and X-ray bands to characterize its galaxy population
(particularly the passive spectroscopic members) and the thermodynamic
status of the hot intracluster gas and to measure its total mass. In
Sect. 2, we present the VLT and HST data used in this
paper, including an extensive spectroscopic campaign which yielded 34
confirmed cluster members. In Sect. 3, we model the
underlying stellar populations of passive galaxies and constrain their
star formation histories. In Sect. 4, we present deep
Chandra observations of XMM2235, the methods of analysis and the
resulting measurements of its temperature, metallicity and mass. In
Sect. 5, we discuss the results.
are adopted throughout this paper. In this
cosmology, 1
on the sky corresponds to 0.5 Mpc at z=1.39
2 VLT and HST observations
![]() |
Figure 1:
Color image of XMM2235 obtained from the combination of i,
z (HST/ACS) and |
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2.1 Optical and near IR data
Following the relatively shallow discovery imaging data obtained with
the VLT/FORS2 in the R and z bands (M05), XMM2235 was
observed in the J and
bands with ISAAC on the VLT in January
2006 and August 2007. More recently, deeper and wider-field near IR
observations of XMM2235 were obtained with the HAWK-I instrument on
the VLT and presented in Lidman et al. (2008).
The ISAAC observations used here consist of a mosaic of pointings, covering
,
with exposure times of 30
and 20 min each in the J and
filters, respectively (program
ID 274.A-5024(B)), with the exception of the central pointing which
was observed for 60 and 45 min, respectively (ID
077.A-0177(A)). The ISAAC data were reduced with the ESO/MVM
software
. Photometric
zero points (ZP) were derived by observing one or two standards each
night from the photometric catalogue of
Persson et al. (1998). All images were laid on an astrometric
grid with a pixel scale of 0.15
that was based on VLT/FORS2
images. In order to derive a uniform ZP across the mosaic, we used
independent observations obtained with the SofI camera on the ESO-NTT,
also reduced with ESO/MVM, for which accurate ZPs were derived with
several photometric standards observed before and after the
observations. These stars yielded rms scatters of <0.02 mag in both
J and
.
The
SofI field includes the central
ISAAC field and covers partially the other eight tiles, thus allowing
the photometric uniformity across the mosaic to be controlled and
independently quantified. The FWHM of all stars in each field was
measured, ranging from 0.4 to 0.7
.
Gaussian smoothing was used
to obtain a uniform PSF in J and
mosaiced images (with a FWHM of
=
in
and
in J). A sample of 62 stars across the mosaic were selected, using size information from the
ACS images and their
color, which was restricted to
,
from the SofI images. These stars were used to to
compare photometry across all fields, using SofI ZPs as fiducial
ones. As a result, the ZPs in three ISAAC tiles were adjusted by a
few % to match the SofI photometry, so as to produce mosaics with
a
uniform ZP, whose accuracy was estimated to be 0.03 mag in K and 0.04 mag in J as based on the rms scatter from stellar photometry with
respect to SofI photometry. We also checked that these ZPs are
consistent with 2MASS photometry using a small number of unsaturated
stars in the 2MASS catalog.
XMM2235 was observed with the ACS Wide Field Camera on the Hubble Space Telescope on June 27 2005 in the F7755W and F850LP passbands (program ID 10698), as part of the ACS Intermediate Redshift Cluster Survey (Ford et al. 2004). Subsequent ACS visits of XMM2235 took place in 2006 as part of the HST Cluster Supernova Survey (Dawson et al. 2009). This work, however, is based on the first visit only, amounting to an integration of 5060 s in i775 and 6240 s in z850. Analysis of the full HST data set are presented in accompanying papers (Jee et al. 2009, Strazzullo et al. in prep.). The ACS data were processed with the latest version of the ``Apsis'' pipeline described by Blakeslee et al. (2003). We used the AB photometric system calibrated with the ACS/WFC zero points from Sirianni et al. (2005).
The ISAAC mosaic images were aligned with the ACS images and a four
band (i775, z850, J and )
photometric catalog was
constructed using SExtractor. Magnitudes were first measured in
apertures of 0.75
radius in the ACS images and 1
in
the ISAAC images, then corrected to 2 and 4
,
respectively, to
take into account the PSF difference between ACS and ISAAC. Such
aperture corrections were derived from the median growth curve of
unsaturated stars in the field. Magnitudes were also corrected for
galactic extinction according to Schlegel (1998). The adopted
corrections are 0.043 mag in i775, 0.032 in z850, 0.019 in Jand 0.008 in
.
A color-composite image of XMMU J2235.3-2257 is
shown in Fig. 1, with the Chandra X-ray contours overlaid
in green (see Sect. 4). The peak of the X-ray emission is
within 2
of the brightest cluster galaxy (BCG) and is
elongated, from the southwest to the northeast, following the
distribution of the red cluster galaxies in the core and the major
axis of the BCG.
2.2 VLT spectroscopy
Three separate observing runs were originally devoted to the spectroscopic follow-up study of XMM2235 using FORS2 on the VLT. Two runs were carried out using the MXU mode, programme ID 074.A-0023(A) in October 2004 (see M05) and ID 077.A-0177(B) in July 2006, using two slit masks each. More spectroscopic observations were carried out in July 2006, as part of a program to search for distant type Ia supernovae hosted by early type galaxies in galaxy clusters at z>1(Dawson et al. 2009). For the latter, the MOS mode of FORS2, which consists of 19 movable slits that can be moved into the focal plane, was used. This allowed rapid follow-up of transient events, such as Type Ia Supernova. In the assignment of slits, transients were given highest priority, likely cluster members were given second priority and other galaxies were given third priority. Two masks were used to follow three transients. Total integration times varied from 2800 s in the first mask to 5400 s in the second. The number of slits that were used in MXU mode was typically more than double the number that were used in MOS mode, with greater flexibility in placing targets on slits. All observations were carried out with the 300I grism which has a dispersion of






Targets were selected using colors and magnitudes, however not
homogeneously throughout the whole observing campaign. Galaxies lying
on the R-z red sequence, with
,
were selected
first (M05). Then fainter objects with colors consistent with late and
early type galaxies at the cluster redshift were targeted in
subsequent masks. As more photometric information (ACS-i,z,
ISAAC-
)
became available after the first run, we adopted new
criteria, using
and
,
colors ranging from
the bluest confirmed star-forming member to the reddest member of the
red sequence (with a 0.3 mag conservative margin). This corresponded
to
.
Spectra were reduced with standard techniques using IRAF tasks (see
e.g. Demarco et al. 2007). The RVSAO/XCSAO routine was used to
measure redshifts via cross-correlations with a range of template
spectra. Redshifts for faint late type galaxies were often derived
from the [OII] line alone. Based on signal-to-noise and
cross-correlation coefficients (R), spectra were finally assigned
quality flags of A, B, C depending on whether the redshifts was
considered secure (R>4), acceptable (
), and unknown
respectively. The first three observing runs yielded 129 redshifts of
quality A or B, from 168 extracted spectra, in a field covering
(or
Mpc). From this sample,
28 redshifts (24 A's + 4 B's) lying within
2000 km s-1 of the
median redshift
were selected as cluster members,
twelve of which (11 A's+1 B's) are star forming galaxies with a
detectable [OII]
3727 Å line (EW([OII]) <
). Magnitudes of cluster members range from
(the
BCG) to the spectroscopic limit of
.
More recently, a fourth spectroscopic programme (ID 081.A-0759D, PI:
Tanaka), mostly aimed at the outskirts of the cluster, was carried
out in July-August 2008 with the same 300I grism using two MXU
masks.
colors were used to target galaxies at the cluster
redshift over an area of 3 Mpc radius. These observations yielded
6 extra passive members, two of which are within the central
and
are therefore included in the sample used in this paper.
In Fig. 2, we show the redshift distribution 30 cluster
members, 18 passive and 12 star-forming galaxies. The latter all lie
at projected distances larger than 250 kpc. We estimated the
velocity dispersion using the ROSTAT algorithm of
Beers et al. (1990), which yields
km s-1 with formal boostrap errors. A detailed dynamical analysis of the
entire redshift sample will be presented in a forthcoming paper. From
the redshift catalog, we defined a sample of 16 passive galaxies,
which are covered by the ACS and ISAAC data, and whose
spectrophotometric properties are modeled in the following section to
age-date their underlying stellar populations. A complete catalog with
redshifts from the whole spectroscopic campaign, as well as
photometric and morphological measurements using the enhanced HST/ACS
observations, HST/NICMOS and VLT/HAWK-I data, will be presented in a
forthcoming paper (Strazzullo et al., Nunez et al. in prep.). We have
verified that the
photometry used in this paper is in very
good agreement with the one in the final augmented imaging data set.
![]() |
Figure 2:
Measured redshifts of galaxies in a field of 3 |
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3 Star-formation histories of passive members
The spectro-photometric data described in the previous section were
used to constrain ages and star formation histories (SFHs) of the
16 passive galaxies (i.e., those with no detectable
[OII] emission)
covered by the ACS and ISAAC data. To this end, we used the technique
described in Gobat et al. (2008), which combines both the
spectral energy distributions (SED) and spectra of galaxies to
characterize the underlying stellar populations with spectral
synthesis models. This generally allows stronger constraints to be
obtained, by mitigating inherent degeneracies among stellar population
parameters. The same technique was used in
Santos et al. (2009) to age date early-type galaxies in a
cluster at .
ACS imaging shows that all the galaxies have
early-type morphologies, however we defer the morphological analysis
to another paper (Strazzullo et al. in prep.).
We used a grid of Bruzual & Charlot (2003,
BC03) -models, characterized by a delayed exponential
star-formation rate (SFR)
,
where t is the time since the onset of star formation and
a
characteristic time scale (corresponding to the time of the SFR
peak). Solar metallicity and a Salpeter initial mass function were
adopted. Since spectra extend to rest-frame wavelengths shorter than
3200 Å, we used BC03 templates which include the
Pickles (1998) stellar library in the mid-UV. SEDs are
constrained by the four photometric bands described in
Sect. 2.1: J,
,
i775, z850. Stellar
masses for the 16 passive galaxies are obtained, together with ages,
T, and characteristic times,
,
by fitting the SEDs with the
constraint that T is bound to be less than 4.22 Gyr, which limits
the star formation epoch to z<15. Stellar masses range between
and
apart from the
BCG. The four red galaxies in the core (within 100 kpc radius) all
exceed
with the BCG being by far the most
massive of the four, with
.
![]() |
Figure 3:
Composite spectra of the four brightest galaxies in the
core (
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![]() |
Figure 4: Top: composite spectrum of the 16 confirmed passive galaxies of XMM2235 with the best fit BC03 model overplotted in red. Bottom: an average spectrum of early-type galaxies at a similar redshift from the GDDS and GMASS spectroscopic surveys in the field. |
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![]() |
Figure 5:
Star formation histories (in arbitrary units)
derived from the fit of the composite spectro-photometric
data with BC03 |
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In order to have a more robust estimate of the SFHs of massive passive
galaxies in XMM2235, we stacked the SEDs and spectra of all 16 members
and then separately the four in the core and the 12 lying in the
outskirts at cluster-centric distances
kpc
(Figs. 3 and 4). Note that these coadded
spectra have a similar S/N ratio, despite the difference in the number
of galaxies in each sample. This is due to the higher luminosities of
the core members. The composite spectra have a
,
making
the fit with BC03 models meaningful. As described in
Gobat et al. (2008), we reconstruct the SFH for a given
subsample by first fitting their average SED, which yields a
confidence region in the (
)
space. The subgrid of models
within this region is then used to find the best fit solution to the
average spectrum. Finally, the SFH which best fits the
spectro-photometric data is obtained by computing the mean, at each
epoch, of all models
lying within the 3
confidence region of the
fit to the average composite
spectrum and average SED (22 models for the outskirts sample and 13
for the core sample). The result is shown in Fig. 5. A stark
difference in the derived SFHs of galaxies in the core and the cluster
outskirts is apparent. Galaxies in the core have formed their stars at
early epochs, with star-formation weighted ages of
Gyr, consistent with a single burst of
star formation at
zF=5.3+1.4-0.8. Those lying outside the
core have
Gyr, corresponding to
zF=2.7+0.6-0.5, and a final formation redshift (when 99% of
the stellar is assembled) of
.
We note
that the areas of the SFH curves in Fig. 5 are arbitrarily
normalized to one, since we are only interested in the difference of
the SF time scale between the two samples. It is clear that the
inferred SFH is model dependent and is generally not a unique
solution. The difference in the underlying stellar populations of the
two samples is significant, however, and is evident from the
inspection of their composite spectra and best fit BC03 models
(Fig. 3). When compared with galaxies in the core,
galaxies in the outskirts show significant post-starforming features
(deep balmer lines) as well as a smaller 4000 Å break in addition to
having a bluer average SED. Galaxies in the outskirts show residual
star forming activity about
1 Gyr before the epoch of
observation. Note that the [OII] line is not detected even in the
stacked spectrum of all the passive galaxies, consistent with no
significant star formation at z=1.4.
These findings are in very good agreement with those of
Lidman et al. (2008), who used the mean color and scatter of a
high-quality
color-magnitude diagram of XMM2235, based on
VLT/HAWK-I measurements, to infer a formation redshift of zF=4-5for galaxies in the cluster core (
kpc), in contrast with
those outside the core which instead exhibit a larger scatter and
bluer colors. The SFHs in Fig. 5, which was derived from
independent spectro-photometric data, elucidate the difference between
these two populations. This result is consistent with a scenario
where the central galaxies formed rapidly at high redshift and ceased
forming stars early while galaxies outside the immediate core
continued star formation for at least 1 Gyr longer, or alternatively
formed most of their stars
1 Gyr later.
The average spectrum of the 16 passive galaxies and the best fit BC03 model to the spectro-photometric data are shown in Fig. 4. For comparison, we also show the composite spectrum of field early-type galaxies at a similar redshift and covering are similar range of stellar masses, which was obtained by combining 11 GDSS (Abraham et al. 2004) and 3 GMASS (Cimatti et al. 2008) spectra in the range 1.3<z<1.5. It is interesting to note that, similar to what was found by Gobat et al. (2008) (see also Rettura et al. 2008), who compared the SFHs of early-type galaxies in a massive cluster at z=1.24 with those in the field, the 4000 Å break in cluster early-type galaxies appears to be larger than those in field galaxies, suggesting a higher formation redshift or a shorter duration of the star forming phase for early-type galaxies in massive clusters. Menci et al. (2008) found this observational scenario to be in good agreement with expectations from semi-analytic models of galaxy formation in which SFHs of cluster galaxies of a given mass are modulated by environmental effects.
4 Chandra observations
XMM2235 was observed with the Chandra ACIS-S detector in VFAINT mode in five exposures of 44 ks (Obs ID 6975), 24 ks (Obs ID 6976), 80 ks (Obs ID 7367), 33 ks (Obs ID 7368) and 15 ks (Obs ID 7404). The data were reduced using the Chandra CIAO software V4.1 (December 08 release) and related calibration files, starting from the level 1 event file as described in Rosati et al. (2004). The total effective exposure time is 196 ks after the application of this reduction procedure.
In Fig. 1, we show a color composite image combining the
HST/ACS and VLT/ISAAC observations with overlaid Chandra X-ray
contours in the soft band. The diffuse X-ray emission from the
cluster can be traced out to
(
above the
background), corresponding to 0.5 Mpc. The Chandra image immediately
shows that point sources do not significantly contaminate the cluster
emission, as it is sometimes the case in distant clusters
(e.g. Bignamini et al. 2008; Stanford et al. 2001).
4.1 X-ray spectral analysis
We performed a global spectral analysis in an elliptical region with semi-major and semi-minor axes


![]() |
Figure 6:
Folded X-ray spectra (data points) and best fit MEKAL
model (solid line) from Chandra observations (196 ks) of
XMM2235 at
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The spectra were analyzed with XSPEC v12.3.1 (Arnaud 1996) and fitted with a single temperature MEKAL model (Liedahl et al. 1995), where the ratio between the elements are fixed to the solar value as in Anders & Grevesse (1989, hereafter angr). These values for the solar metallicity have recently been superseded by the new values of Grevesse & Sauval (1998), who used a 0.676 times lower Fe solar abundance (see also Asplund et al. 2005). However, we prefer to report Iron abundance in units of angr since most of the literature still refers to these old values. Since our metallicity depends only on the Fe abundance, updated metallicities can be obtained simply by rescaling by 1/0.676 the values reported here. We modeled the Galactic absorption with the tool tbabs (see Wilms et al. 2000).
Spectral fits were performed over the energy range 0.5-7 keV. We
exclude photons with energy below 0.5 keV in order to avoid systematic
biases in the temperature determination due to uncertainties in the
ACIS calibration at low energies. We checked that the measured
temperature does not depend significantly on the lower bound, E1,
of the energy range (by changing E1 in the range 0.3-1.2 keV, T
changes by ). We also exclude energies above 7 keV where
the signal is dominated by noise. We used three free parameters in
our spectral fits: temperature, metallicity and normalization. The
local absorption was frozen to the Galactic neutral hydrogen column
density
cm-2, as obtained from radio
data (Dickey & Lockman 1990), and the redshift was set to
z=1.39, as measured from the optical spectroscopy. Spectral fits
were performed using Cash statistics (as implemented in XSPEC) of
source plus background photons, which is preferable for low
signal-to-noise spectra. We also performed the same fits with
statistics (with a standard binning with a minimum of 20
photons per energy channel in the source plus background spectrum) and
verified that our best-fit model gives a reduced
for 107 degrees of freedom. All quoted errors below correspond to
,
or the 68% confidence level for one interesting parameter.
The Chandra folded spectra of XMM2235, extracted from the whole
elliptical area and the inner core, are shown in
Fig. 6. The corresponding extraction regions are indicated
on the inset image. A significant Fe K line is visible at
keV. Confidence contours from the spectral fit in the Z-kTplane are shown in Fig. 7. The fit to the global
spectrum gives a best fit temperature of
kT = 8.6-1.2+1.3 keV,
and a best fit metallicity of
(
error bars). By leaving Galactic absorption as a free
parameter, we obtained
cm-2, thus consistent with the Galactic value. In this case, the
best fit temperature is consistent (within
)
with the
aforementioned best fit value. Interestingly, leaving the redshift
free, a four parameter fit yields
z = 1.37-0.06+0.04, which
shows how accurately the redshift can be determined from the X-ray
data alone due to the detection of the iron line.
![]() |
Figure 7:
Confidence contours and best fit temperature and iron
abundance (crosses) of XMM2235 obtained from the spectral fit of
the Chandra data (Fig. 6). Solid contours (
|
Open with DEXTER |
The best fit model corresponds to an unabsorbed flux within the
elliptical aperture of
in the 0.5-2 keV
band. This corresponds to a luminosity of
in the rest frame 0.5-2 keV band, and a bolometric
luminosity of
.
One can use the
best fit double
-model of the surface brightness profile
described below to extrapolate these luminosities at larger radii. For
example, values need to be multiplied by a factor 1.3 to encircle the
flux within
r=1 h70-1 Mpc. Thus, the bolometric luminosity is
erg s-1 . We note that the X-ray
luminosity and temperature of XMM2235 are consistent with the
relation determined for hot clusters at z<1(e.g. Rosati et al. 2002).
We performed several checks in order to assess the robustness of our
results against systematics. By changing background regions,
e.g. choosing different external circular regions as opposed to the
annulus above, the best fit temperature varies by only a few %. More
recently, a possible calibration problem of ACIS-S at high energies
has been under discussion, which has supposedly been alleviated by the
latest calibration files used here. It has been claimed that it biases the
temperature of hot low-z clusters to higher values, an effect that
is limited to 5% when the energy range is restricted to 5 keV
(David, private communication). We note that by using Chandra
calibrations of 2007 shortly after the observations, we obtain a
temperature of 9.2 keV (still consistent with the current value at
the level), whereas the best fit value remains stable over the
last two CIAO software releases. We also note that the bias is
reduced, because, at z=1.4, the exponential Bremsstrahlung cut off
is observed at significantly lower energies. By repeating our fit in
the energy range 0.5-5 keV, we find that the best fit temperature
decreases by only 0.04 keV.
As shown below, the Chandra data reveal a significant excess in the
center of the X-ray surface brightness (SB) profile of XMM2235, which
is usually interpreted as the presence of a cool core. A spectral
analysis of the inner 8
(67 kpc) radius, containing only 400 net counts, yields a best-fit temperature
kT = 6.7+1.3-1.0 keV, and an Iron abundance of
(dashed contours in Fig. 7). This suggests the presence
of a cool core with higher Iron abundance, a result that needs
significantly more statistics to be confirmed. We also repeated the
spectral analysis removing this cool core region of 8.0
radius
(the dotted 1-
contour in Fig. 7) from the
total elliptical region and find
kT = 9.3+2.0-1.5 keV.
![]() |
Figure 8:
Surface brightness profile from the Chandra soft X-ray
emission of XMM2235 and best fit beta models. The dotted curves
indicate the two components of double- |
Open with DEXTER |
4.2 X-ray spatial analysis and mass determination
The distribution of the soft X-ray emission is clearly elongated in
the NE direction, resembling the distribution of cluster galaxies in
the core (see Fig. 1 and also
Lidman et al. 2008).
Inspection of the surface brightness (SB) profile readily shows the
presence of excess emission in the central 40 kpc,
which indicates the presence of a cool core, a clear signature of the
dynamically relaxed state of the cluster (see
Santos et al. (2008) for a discussion of cool cores in this as
well as in other high-z clusters). Here, we report on the modeling of
the SB profile, enabled by the angular resolution and depth of the
Chandra observations, which is then used to estimate the mass
of XMM2235.
The presence of a cool core is generally revealed by a gas density
excess in the central regions of clusters, compared to a single
-model profile, so as to guarantee hydrostatic equilibrium. This
is clearly illustrated in Fig. 8. By using a projected
single
-model plus background,
,
we obtain a poor fit in the
inner region with
kpc,
with a
reduced
of 2.05. A much better fit is obtained with a double
-model fit,
,
which yields
kpc,
(fixed),
kpc,
,
.
This information, assuming hydrostatic equilibrium and isothermality
of the gas, leads to a deprojected gas density profile and to an estimate of
the total mass. We defer to a forthcoming paper (Rosati et al. in
prep.) a detailed discussion of the X-ray mass profile of XMM2235,
with a full deprojection analysis down to the core and a measurement
of the gas fraction, as well as independent measurements of the total
mass at different radii from a dynamical analysis of all cluster
members and the modeling of a strong lensing system.
We note here that the total gravitating mass profile at large radii
()
is very well approximated by a single
- model for
the gas density profile which leads to the well-known expression:
,
where
,
is the
mean molecular weight in atomic mass unit (=0.59), G is the
gravitational constant, and
is the proton mass. Hence,
.
Using the best fit temperature and the
single
-model parameters above, one obtains a total mass of
.
Cluster masses are conveniently measured within
R500, the radius of the sphere within which the cluster
overdensity is 500 times the critical density of the Universe at the
cluster redshift. Using the scaling relation among R500,
temperature and redshift derived in Ettori et al. (2004) one
obtains for XMM2235
Mpc and
therefore
.
To estimate the cluster virial mass, we have to extrapolate
our mass measurement to larger radii assuming for example a
Navarro, Frenk, & White (1996) profile with concentration c = 5. This
yields
.
Note that assuming a lower concentration,
e.g. c=3, the virial mass would only be a few % lower. These
values for the total mass indicate that XMM2235 is the most massive
cluster at z>1 discovered to date (see
Ettori et al. 2004 for a
compilation of the masses of distant clusters derived from Chandra data).
As discussed in Jee et al. (2009), the X-ray mass profile,
which is based on the assumptions of hydrostatic equilibrium and an
isothermal gas, is found to be in very good agreement with the mass
density profile derived from the weak lensing analysis of XMM2235 from
deep HST/ACS data, which reveals a significant shear well beyond the
X-ray SB limit of 1
(or 500 kpc). Specifically, using the
projection formula for the
-profile in
Jee et al. (2005), a projected X-ray mass within 1 Mpc of
is found, in excellent agreement with the one
derived from the shear lensing map. We refer to the
Jee et al. (2009) paper for a discussion on how rare the
observation of such a massive cluster is, based on the survey volume
from which the cluster was discovered and the cluster mass function in
CDM cosmology.
5 Discussion and conclusions
We presented a combination of spectro-photometric data from VLT and HST, as well as deep Chandra observations of the X-ray selected cluster XMMU J2235.3-2557 at z=1.39 and used them to characterize the galaxy populations of passive members, the thermodynamical properties of the hot gas and the total mass of the system.
Despite surface brightness dimming, due to the high redshift of the
cluster, the Chandra data show extended X-ray emission out to
0.5 Mpc. The X-ray emission has a regular morphology and is clearly
elongated in the same way as the distribution of red passive galaxies
in the core as well as the major axis of the BCG. An excess of
emission in the inner 50 kpc is clearly detected and naturally
interpreted as a cool core. The spectral analysis of the Chandra data
reveals that XMM2235 has a global temperature of
kT =
8.6-1.2+1.3 keV (68% confidence), which we find robust against
several systematics involved in the X-ray spectral analysis. If we
assume hydrostatic equilibrium, a well justified condition given the
relaxed appearance and the canonical
ratio of the cluster,
and an isothermal gas distribution, the X-ray surface brightness
profile yields a total mass at large radii (
kpc) of
.
Overall, our analysis implies that XMM2235 is the hottest and most massive bona-fide cluster discovered to date at z>1. These findings are corroborated by the weak lensing analysis from deep HST/ACS data (Jee et al. 2009) which provides a mass profile in very good agreement with the X-ray measurement. The presence of a significant cool core is additional evidence of the advanced dynamical state of the cluster (e.g. Fabian 1994).
In characterizing the passive galaxy population of XMM2235, we have
extended the analysis of the ACS Intermediate Redshift Cluster Survey
at 0.8<z<1.3 (Demarco et al. 2007; Mei et al. 2009) to
higher redshifts. Using a large sample of spectroscopically
identified cluster members, we inferred the SFHs of passive galaxies
in the core (
kpc) and in the outskirts by modeling their
spectro-photometric data with spectral synthesis models. We find a
clear contrast in the underlying stellar populations of the two
samples. Core galaxies, all with photometric stellar masses in excess
of
,
appear to have formed at an earlier epoch with a
relatively short star formation phase (zF=6-4), whereas passive
galaxies outside the core show spectral signatures that suggest a
star formation phase that is prolonged to later epochs, to redshifts as
low as
.
The latter are presumably the infalling
population of galaxies that are in the process of populating the red
sequence. These results are also consistent with their mean color and
scatter of the
red sequence (Lidman et al. 2008).
The on-going star formation is confined to the outskirts of XMM2235, as galaxy members with a detectable [OII] emission line avoid the inner 250 kpc region. Also in this respect, XMM2235 has already reached an advanced evolutionary stage, as star formation is suppressed in galaxies well before they reach the center, similarly to low redshift massive clusters.
We note that the environmental age gradient we find in XMM2235, as
well as in other clusters
(e.g. Mei et al. 2009), is significantly steeper than the
relatively mild difference found between field and cluster
early-type galaxies of similar stellar masses
(Gobat et al. 2008). This shows the importance of
environmental effects in driving galaxy evolution, in keeping with
expectations from hierarchical galaxy formation models
(e.g. Menci et al. 2008). It would be interesting to study
whether the radial age gradient of galaxy populations becomes larger
with increasing redshifts. This would require homogeneous galaxy
selection criteria in large samples of distant clusters with
homogeneous photometric measurements, a task which might be
challenging with current data.
At increasing redshifts, the observational effects of different
evolutionary histories of galaxies from cluster to cluster should
become apparent. Mild differences have been detected so far in the
most distant X-ray luminous clusters (e.g. Mei et al. 2009, in the mean color of
the color sequence) of otherwise very homogeneous
populations. Hilton et al. (2009) carried out a detailed
photometric and morphological study of XMMXCS J2215.9-1738 at
z=1.46, currently the most distant spectroscopically confirmed X-ray
luminous cluster. Based on its X-ray temperature and luminosity, as
well its velocity dispersion, this cluster is less massive than
XMM2235 and appears to be in a younger dynamical state based on its
velocity distribution (Hilton et al. 2007). Another striking
difference between the two clusters is the lack of a dominant BCG in
XMM2215. However, as in XMM2235, the galaxy population of XMM2215 is
dominated by early-type galaxies with ages of 3 Gyr, based on
the scatter of its red sequence, implying a major episode of star
formation at epochs
.
Unfortunately, it is difficult
to directly compare these results with those we obtained for XMM2235
as the mean ages of the early-type galaxies were estimated with
different methods. A similar comparative study with optically selected
clusters would be very interesting but is still lacking. In general,
the study of cluster-to-cluster variance in distant clusters, leading
to different evolutionary histories of cluster galaxies, could provide
further tests for galaxy evolution models. A robust comparison among
different clusters however would require a homogeneous observing
campaign with the same set of instruments and filters so as to minimize
systematics in photometric measurements and model dependent
K-corrections.
Another notable result of our study is the measured metal abundance
of the intracluster medium (ICM)
from the detection of the Fe-K line in the Chandra spectrum,
essentially coming from the cluster core (
kpc
where most of the Chandra counts are contained). This extends to even
larger look-back times the evidence that the ICM was already
significantly enriched in distant clusters, as found in a systematic
study of clusters at z<1.3
(Balestra et al. 2007; Maughan et al. 2008),
and therefore that metal enrichment of the ICM was mostly complete at early
epochs. In light of the derived SFH of the core red galaxies this is
not unexpected. Chemical evolution models of elliptical galaxies
(e.g. Pipino & Matteucci 2004) predict that chemical enrichment
of massive elliptical galaxies, which experience a short burst of star
formation at early epochs, occurs on a time scale of 1 Gyr. Galactic
winds distribute metals in the cluster core region on a crossing time
scale (
1 Gyr). As a result, one would expect the metal
enrichment of the ICM to be completed by
(2 Gyr earlier
than the cluster look-back time of 9 Gyr), consistently with the
derived SFH of the core galaxies.
It remains somewhat surprising that such a massive cluster, which was discovered from a relatively small survey area (11 deg2), is found with a baryonic content in such an advanced evolutionary stage at an epoch corresponding to 1/3 of the current age of the Universe, both in terms of its galaxy population and of the hot intracluster gas. Further results on the galaxy populations of XMM2235 as well as its mass distribution, taking advantage of an augmented multi-wavelength data set, will be presented in forthcoming papers.
Given its large mass, XMM2235 will also likely be an ideal target for a new array of Sunayev-Zeldovich (SZ) experiments which are already operational (e.g. Staniszewski et al. 2009) or are becoming available. These observations will add independent, important information on the physics of the ICM and the total mass of XMM2235 and will be useful to calibrate the expectations of a new era of SZ cluster surveys.
AcknowledgementsWe acknowledge the excellent support provided by the VLT staff at the Paranal observatory. We thank S. Ettori and S. Borgani for useful discussions. P.T. acknowledges financial support from contract ASI-INAF I/088/06/0 and from the PD51 INFN grant. J.S.S. acknowledges support by the Deutsche Forschungsgemeinschaft under contract BO702/16-2. R.G. acknowledges partial support by the DFG cluster of excellence Origin and Structure of the Universe (http://www.universe-cluster.de). G.L. was supported by the DLR under contract numbers 50OX0201 and 50QR0802.
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Footnotes
- ...z > 1
- Based on observations carried out using the Advanced Camera for Surveys at the Hubble Space Telescope under Program ID 10698; the Very Large Telescope at the ESO Paranal Observatory under Program IDs 274.A-5024(B), 077.A-0177(A, B), 074.A-0023(A), 077.A-0110(A, B).
- ...
software
- http://archive.eso.org/cms/eso-data/data-packages/eso-mvm-software-package
All Figures
![]() |
Figure 1:
Color image of XMM2235 obtained from the combination of i,
z (HST/ACS) and |
Open with DEXTER | |
In the text |
![]() |
Figure 2:
Measured redshifts of galaxies in a field of 3 |
Open with DEXTER | |
In the text |
![]() |
Figure 3:
Composite spectra of the four brightest galaxies in the
core (
|
Open with DEXTER | |
In the text |
![]() |
Figure 4: Top: composite spectrum of the 16 confirmed passive galaxies of XMM2235 with the best fit BC03 model overplotted in red. Bottom: an average spectrum of early-type galaxies at a similar redshift from the GDDS and GMASS spectroscopic surveys in the field. |
Open with DEXTER | |
In the text |
![]() |
Figure 5:
Star formation histories (in arbitrary units)
derived from the fit of the composite spectro-photometric
data with BC03 |
Open with DEXTER | |
In the text |
![]() |
Figure 6:
Folded X-ray spectra (data points) and best fit MEKAL
model (solid line) from Chandra observations (196 ks) of
XMM2235 at
|
Open with DEXTER | |
In the text |
![]() |
Figure 7:
Confidence contours and best fit temperature and iron
abundance (crosses) of XMM2235 obtained from the spectral fit of
the Chandra data (Fig. 6). Solid contours (
|
Open with DEXTER | |
In the text |
![]() |
Figure 8:
Surface brightness profile from the Chandra soft X-ray
emission of XMM2235 and best fit beta models. The dotted curves
indicate the two components of double- |
Open with DEXTER | |
In the text |
Copyright ESO 2009
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