Issue |
A&A
Volume 517, July 2010
|
|
---|---|---|
Article Number | A59 | |
Number of page(s) | 15 | |
Section | Galactic structure, stellar clusters, and populations | |
DOI | https://doi.org/10.1051/0004-6361/201014155 | |
Published online | 05 August 2010 |
Chemical abundances for the outer halo
cluster Pal 4 from co-added high-resolution spectroscopy![[*]](/icons/foot_motif.png)
A. Koch1 - P. Côté2
1 - Department of Physics & Astronomy, University of Leicester,
University Road, Leicester LE1 7RH, UK
2 - National Research Council of Canada, Herzberg Institute of
Astrophysics, 5071 West Saanich Road, Victoria, BC V9E 2E7, Canada
Received 29 January 2010 / Accepted 22 April 2010
Abstract
Context. Chemical element abundances for distant
Galactic globular clusters (GCs) hold important clues to the origin of
the Milky Way halo and its substructures.
Aims. We study the chemical composition of red giant
stars in Pal 4 - one of the most remote GCs in the Milky Way -
and compare our abundance measurements to those for both low surface
brightness dwarf galaxies, and GCs in the inner and the outer halo.
Methods. By co-adding high-resolution, low-S/N
Keck/HIRES spectra of 19 stars along the red giant branch, we estimate
chemical abundance ratios of 20 -, iron peak-, and
neutron-capture elements. Our method gives total uncertainties on most
element-to-iron ratios of typically 0.2 dex.
Results. We measure
and
an
-enhancement
of [
/Fe] =
dex, which is
consistent with the canonical value of
+0.4 dex found for Galactic halo field
stars and most halo GCs at this metallicity. Although Pal 4
has higher enhancements in the heavier elements with respect to the
halo, the majority of the element ratios are, within the measurement
errors, consistent with those for local halo field stars. We find,
however, evidence for a lower [Mg/Ca] ratio than in other halo
clusters.
Conclusions. Based on the available evidence, we
conclude that the material from which Pal 4 and the Galactic
halo formed experienced similar enrichment processes, despite the
apparently younger age of this cluster. Within the limitations of our
methodology we find no significant indication of an iron spread, as is
typical of genuine GCs of the Milky Way. However, abundance ratios for
individual stars in Pal 4 and other distant satellites are
urgently needed to understand the relationship, if any, between remote
GCs and other halo substructures (i.e., luminous and ultra-faint dwarf
spheroidal galaxies).
Key words: stars: abundances - Galaxy: abundances - Galaxy: evolution - Galaxy: halo - globular clusters: individual: Pal 4
1 Introduction
As the oldest readily identifiable stellar systems in the universe, globular clusters (GCs) are important tracers of the formation and early evolution of galaxies, the Milky Way (MW) included. Noting the apparent lack of a metallicity gradient among remote Galactic GCs, Searle & Zinn (1978) proposed an accretion origin for the Galactic halo extending over a period of several Gyr. Evidence for this picture of hierarchical halo growth has come from the existence of a second-parameter problem among outer halo GCs (e.g., Catelan 2000; Dotter et al. 2010), which points to a significant age range within this population.
The remote GC Pal 4 is such an example of a second parameter
cluster. At a Galactocentric distance of
kpc
(Stetson et al. 1999),
it is one of only a few halo GCs at distances of
100 kpc or beyond. With a half-light
radius of
pc, it is also one of the most extended Galactic GCs currently known,
being significantly larger than ``typical'' GCs in the Milky Way or
external galaxies (which have
pc;
see, e.g., Jordán et al. 2005). In fact,
with a total luminosity of just
,
it is similar in
several respects to some of the more compact ``ultra-faint'' dwarf
spheroidal (dSph) galaxies (Simon & Geha 2007) that are
being discovered in the outer halo with increasing regularity (e.g.,
Belokurov et al. 2007).
Since almost nothing is known about their proper motions and internal
dynamics, the relationship of faint, extended
GCs like Pal 4 to such low-luminosity galaxies is currently an
open question.
While there is a general consensus that Pal 4 is
likely to be 1-2 Gyr
younger than inner halo GCs of the same metallicity, such as
M 5, age estimates in the literature do not fully agree (e.g.,
Stetson et al. 1999;
vs. Vandenberg 2000).
In particular, Stetson et al. (1999) note that
an age difference with respect to the inner halo GCs could be explained
if ``either [Fe/H] or [
/Fe]
for the outer halo clusters is significantly lower than ...
assumed''. Conversely, Cohen & Meléndez (2005a) found
that the outer halo GC NGC 7492 (
kpc) shows chemical
abundance patterns that are very similar to inner halo GCs like
M 3 or M 13. This similarity in the chemical
enrichment now appears to extend into the outermost halo for at least
some GCs: it has recently been shown that the abundance ratios in the
remote (
kpc) cluster
Pal 3 (Koch et al. 2009, hereafter
Paper I) bear a close resemblance to those of inner halo GCs.
The chemical abundance patterns of remote halo GCs like Pal 3
and Pal 4 are important clues to the formation of the Milky
Way, as they
allow for direct comparisons to those of the dSph galaxies, which are
widely believed to have been accreted into the halo
(e.g., Klypin et al. 1999;
Bullock et al. 2001;
Font et al. 2006;
Li et al. 2009).
In this spirit, Mackey & Gilmore (2004) conclude
that all young halo clusters (i.e., 30) did not originate in the MW but
were donated by at least seven mergers with ``cluster-bearing''
dSph-type galaxies.
There are, however, no high-dispersion abundance data yet published for this remote cluster. Previous low-resolution spectroscopic and photometric studies have established Pal 4 as a mildly metal-poor system, with [Fe/H] estimates ranging from -1.28 to -1.7 dex (Armandroff et al. 1992; Stetson et al. 1999; Kraft & Ivans 2003). In this paper, one of a series, we aim to extend the chemical element information for GCs in the Galactic halo out to the largest possible distances, and to carry out a first analysis of Pal 4's chemical abundance patterns. As we have shown in Paper I, which presented a similar analysis for Pal 3, it is possible to derive reliable abundance measurements for remote Galactic GCs by performing an integrated analysis of stacked, low signal-to-noise (S/N) - but high-resolution - spectra (see also McWilliam & Bernstein 2008). Note, however, that this method presupposes that there is no significant abundance scatter present along the RGB and that all stars have the same mean abundances for all chemical elements. We have therefore no means of distinguishing Pal 4 as a genuine GC with no internal abundance spread from a dSph that may have a very broad abundance range (e.g., Shetrone et al. 2001, 2003; Koch 2009), nor of discerning any intrinsic abundance variations (e.g., Lee et al. 2009). We will return to this question in Sect. 5.2. Neverthess, such studies can provide an important first step towards an overall characterization of the chemical element distribution, and enrichment history, of the outer halo.
2 Data
The spectra for Pal 4 were obtained during the same three nights in February and March 1999 as the spectra used in our analysis of Pal 3 (Paper I). During these observing runs, a total of 24 stars in Pal 4 were observed using the HIRES echelle spectrograph (Vogt et al. 1994) on the Keck I telescope. Our spectroscopic targets were selected from a colour-magnitude diagram (CMD) constructed from BV imaging obtained with the Low-Resolution Imaging Spectrometer (LRIS, Oke et al. 1995) on the night of 13/14 January 1999. A CMD reaching roughly one magnitude below the main-sequence turnoff was constructed using a series of short and long exposures taken in both bandpasses (i.e., five exposures between 60 s and 120 s in V, and four exposures between 60 s and 240 s in B).
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Figure 1: CMD of Pal 4 based on photometry from Saha et al. (2005). The HIRES targets are highlighted as red symbols, with open stars denoting AGB candidates. Also shown is a scaled-solar Dartmouth isochrone (Dotter et al. 2008) with an age of 10 Gyr and a [Fe/H] of -1.4 dex, corrected for E(B-V)=0.01 and a distance modulus of 20.22 mag (Stetson et al. 1999). |
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Spectroscopic targets were identified from this CMD by selecting
probable red giant branch (RGB) stars with
.
These stars all have cross identifications with the more recent work of
Saha et al. (2005). Figure 1 shows the location of
the target stars in the CMD from this latter work. As for
Paper I, we used a spectrograph setting that covers the
wavelength range 4450-6880 Å with spectral gaps between
adjacent orders, a slit width of 1.15
and
a CCD binning of
in the spatial and spectral directions. This gives
a spectral resolution of
.
Each programme star was observed for a total of 300-2400 s,
depending on its apparent magnitude (see Table 1; only
available in electronic form). Table 1 also lists the
photometric properties of the target stars, where the BVI
photometry is taken from Saha et al. (2005) and the K-band
magnitudes are from 2MASS (Skrutskie et al. 2006).
The spectroscopic data were reduced using the MAKEE data reduction package.
Because our spectra were obtained within a program to study the
internal cluster dynamics (Côté et al. 2002; Jordi
et al. 2009;
Baumgardt et al. 2009),
the short exposure times - which were chosen adaptively based on target
magnitude - lead to low signal-to-noise (S/N)
ratios. Hence, the spectra are adequate for the measurement of accurate
radial velocities but not for abundance measurements of individual
stars.
For instance, we typically reach S/N ratios of 4-8
per pixel in the order containing H
.
Radial velocities of the individual targets were measured from
a cross correlation against a synthetic red giant spectrum with stellar
parameters representative of the Pal 4 target stars. The
template covered the entire HIRES wavelength range, but excluded the
spectral gaps. All our targets are consistent with the cluster's mean
radial velocity of
km s-1
(mean error) within the measurement errors
(see also Olszewski et al. 1986). A
detailed account of the dynamics of Pal 4 will be given in a
separate paper.
As in Paper I, we stack the individual spectra to increase their S/N ratio and to be able to perform an integrated abundance analysis (see also McWilliam & Bernstein 2008). In practice, the spectra were Doppler-shifted and average-combined after weighting by their individual S/N ratios to yield a higher S/N spectrum which we can use to place constraints on the chemical element abundances. As the CMD (Fig. 1) shows, five of the stars appear to lie on the AGB (open symbols). We therefore constructed three different co-added spectra: i.e., using only the RGB stars, only the AGB stars, and the entire sample. The overall S/N ratios of the co-added spectra are (12, 25, 28) for the AGB, RGB, and the entire sample, respectively. A sample region of those spectra is shown in Fig. 2. It is obvious from this figure that the pure AGB spectrum still has a too low S/N ratio for meaningful abundance measurements. Moreover, adding the AGB spectra to those of the higher-S/N spectra for the RGB stars may introduce additional noise to some features rather than improving the spectral quality. We therefore choose focus our abundance analysis on the co-added RGB sample only.
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Figure 2: A portion of the co-added spectra in one order with relatively high S/N ratio. A few absorption lines are designated. Also indicated is the subsample of stars that was included in the co-additions. |
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3 Abundance analysis
As in our previous works (e.g., Paper I), we used model
atmospheres interpolated from the updated grid of the Kurucz one-dimensional 72-layer,
plane-parallel, line-blanketed models without convective overshoot and
assuming local thermodynamic equilibrium (LTE) for all species. For
this GC study, we used models that incorporate Castelli &
Kurucz's (2003)
-enhanced opacity distribution
functions, AODFNEW. This choice seems justified, since the majority of
the metal-poor Galactic halo GCs, as well as the outer halo object
Pal 3 (Paper I), are enhanced in the
-elements by
+0.4 dex,
so it seems plausible that Pal 4 will also follow this trend.
Throughout this work, we used the 2002 version of the stellar abundance
code MOOG (Sneden 1973)
for all abundance calculations. We place our measurements on the Solar
scale of Asplund et al. (2009).
3.1 Linelist
We derive chemical element abundances through standard equivalent width (EW) measurements that closely follow the procedures outlined in Paper I. The main difference is that we are only dealing with an analysis of the co-added EWs in the present study, which thus requires an analogous treatment of the synthetic EWs. The linelist for the present study is the same as already used in Paper I and we refer the reader to that work for full details on the origin of the line data. In practice, we measured EWs in the co-added spectra (Sect. 2) by fitting a Gaussian profile to the absorption lines using IRAF task splot; those value are recorded in Table 2 (online only).
Aided by the stellar atmospheres (described in detail in the
next section), we computed theoretical EWs for the
transitions in our line list using MOOG's ewfind
driver and combined them into a mean value,
,
using the same weighting scheme as for the observations,
![]() |
(1) |
where the weights wi are proportional to the S/N ratios as in the case of co-adding the observed spectra. The abundance ratio of each element was then varied until the predicted

We accounted for the effects of hyperfine structure for the stronger lines of the odd-Z elements Mn I, Co I, and Cu I by extracting the predicted EW from MOOG's blends driver and using atomic data for the splitting from McWilliam et al. (1995). The effect on all other elements (such as Ba II or La II) was found to be typically less than 0.03 dex and thus much smaller than the usual systematic errors (Sect. 4) so that we ignored hyperfine splitting for all other elements.
3.2 Stellar parameters
We derived effective temperatures (
)
for each star using its photometry, in particular, from B-V
and V-I colors using the data
from Saha et al. (2005). This information was supplemented
with 2MASS K-band photometry (Skrutskie
et al. 2006)
to obtain V-Kestimates for the
eight brightest stars (see Table 1).
We assumed a reddening of E(B-V)=0.01
(Stetson et al. 1999)
with the extinction law of Winkler (1997). In
practice, the
-color
calibrations of Ramírez & Meléndez (2005) were
applied for V-I and V-K,
and the Alonso et al. (1999)
transformations for B-V. All
three values agree well with offsets of 6 and 20 K for B-V
vs. V-I and V-K,
with an rms scatter of 50 and 80 K, respectively. For all
these calibrations, we adopted the cluster mean metallicity of
-1.43 dex on the Kraft & Ivans (2003) scale. The
resulting temperatures have a formal mean random error due to color and
calibration uncertainties of 136 K on average. In practice, we
adopt an error-weighted mean of all three color indicators as the final
for the
atmospheres. Figure 3
shows the distribution of effective temperatures for our targets.
![]() |
Figure 3: Distribution of stellar parameters for the RBG and AGB stars (open and shaded histograms, respectively). |
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Surface gravities, log g, were derived from
the photometry, an adopted distance modulus of 20.22 mag
(Stetson et al. 1999),
and the above temperature and metallicity estimates. A mass of 0.85
was adopted for the red giants, as indicated by a comparison with the
Dartmouth isochrones (Dotter et al. 2008;
Fig. 1).
Errors on the input parameters (predominantly that on
)
lead to a typical uncertainty in log g of
0.16 dex.
As in Paper I, we derived microturbulent velocities,
,
from a linear fit to the temperatures of halo stars that have similar
parameters to ours (Cayrel et al. 2004). The
scatter around the best-fit relation implies a typical error of
km s-1.
Since we have no prior knowledge of the individual stellar metallicities, we adopt the value of -1.43 dex (Kraft & Ivans 2003) as representative of the cluster mean and as an input metallicity for the atmospheres. This value is then refined iteratively using the Fe I abundance from the previous step as input for the following atmosphere calculations.
In addition, we calculate an independent metallicity estimate
for individual stars from the Mg I line index at 5167, 5173 Å,
which is defined and calibrated on the scale of Carretta &
Gratton (1997)
as in Walker et al. (2007)
and Eq. (2) in Paper I. For this, we assume a
horizontal branch magnitude, ,
of 20.8 mag (Stetson et al. 1999). Although
we list the Mg I indicator in our final abundance in
Table 3,
we emphasize that this value is meant as an initial estimate of the
cluster metallicity, rather than a reliable measurement of its
abundance scale. Table 3
lists the final abundance ratios derived from the co-added red giant
sample. Here, neutral species are given relative to Fe I, while the
ratios of ionized species are listed with respect to the ionized iron
abundance as [X II/Fe II].
Table 3: Abundance results from the co-added red giant spectrum.
4 Abundance errors
As a measure of the random uncertainties on our abundance
ratios, Table 3
also lists the 1-scatter
of the line-by-line measurements together with the number of
transitions, N, used in the analysis. This
contribution is generally small for those species with many suitable
transitions (e.g., Fe I, Ca, Ti I, Ni) yet dominates
for the other, poorly-sampled elements. As in Paper I, we
adopt in what follows a minimum random abundance error of
0.10 dex and assign an uncertainty of 0.15 dex if
only one line could be measured.
In order to investigate the extent to which inaccurate radial
velocity measurements can lead to a broadening of the observed lines
during the co-addition of the individual, Doppler-shifted spectra, we
carried out a series of 1000 Monte Carlo simulations. In each
simulation, we corrected every spectrum by a velocity that accounted
for the velocity error before combining those falsified spectra into a
new spectrum. The EWs for the entire line list were
then re-measured from each of those spectra in an automated manner. As
a result, the EWs changed by ()% on
average, with 1
of the widths changing by less than 15%. We then repeated our abundance
determinations by Monte Carlo varying the EWs by
this amount and deriving new means and dispersions. This revealed that
a 15% uncertainty in the measured EW incurs an
error of 0.04 dex on the mean iron abundance. For this, we
conclude that inaccurate Doppler-shifts
of the spectra are not a major source of uncertainty in an analysis of
this sort. The main contributor to the random errors are instead the EW
measurements at these still-low S/N levels and, to
a lesser extent, the standard uncertainties in the atmosphere models
and atomic parameters themselves.
Although none of our stars is a likely non-member in terms of
our CMD selection, nor indicated by deviating gravity sensitive
features as the Mg b triplet or the Na-D lines, nor by
discrepant radial velocity, we explored the effect of co-adding
undesired foreground dwarfs to the red giant sample on the resulting
abundance ratios. To this end, we computed synthetic spectra for each
star, using the atmospheric parameters determined above and adopting
the element ratios listed in Table 3. We then synthesized a
spectrum of a metal-poor dwarf star (
K,
,
and
km s-1)
and randomly replaced one or two of the RGB stars with a dwarf spectrum
in the co-addition. The EWs of the resulting,
co-added synthetic spectrum were then re-measured as above. As a
consequence, the presence of one (two) underlying dwarf stars in the
co-added spectrum does not change the co-added EWs
by more than 5% (9%), on average. Thus our abundance ratios are
insensitive to any residual foreground contamination, with no expected
effect larger than 0.02 dex.
Systematic uncertainties of the stellar parameters were
evaluated from a standard error analysis (e.g., Koch &
McWilliam 2010).
To this end, each parameter was varied by the typical uncertainty (
K;
dex;
km s-1;
see previous section), from which new atmospheres were interpolated for
each star. This assumes that all stars are systematically affected in
the same manner by the same absolute error. Furthermore, the column
labeled ``ODF'' shows the changes induced by using the Solar-scaled
opacity distributions ODFNEW, which corresponds to an error in the
-enhancement
of 0.4 dex. Using these changed atmospheres, theoretical EWs
were computed for each star and then combined into a new
to
be compared with the observed EW as before. We
list in Table 4
the deviations of the resulting new abundances from the nominal values,
[X/Fe], obtained from the unchanged atmospheres. Overall, the largest
effect is naturally found with regard to
errors,
while changes in log g mostly
affect the ionized species (see also Paper I).
Table 4: Error analysis: deviations from the abundances in Table 3.
Finally, we interpolated the values in Table 4 to the actual
parameter uncertainties estimated in Sect. 3.2 and adopted an
error of the atmosphere -enhancement
of
0.2 (in
accordance with the results for [
/Fe] in Table 3). These contributions
were added in quadrature to the random error to yield the total
abundance error, which we list as
in
the last column of Table 3
and which we will show in the following figures unless noted otherwise.
Since this procedure neglects the covariances between the stellar
parameters, these errors can be regarded as upper limits
on the actual abundance uncertainties. In the end, our measurements
yield element ratios that are typically accurate to within
0.2 dex for the
-elements,
0.15-0.30 dex for the iron peak elements, and
approximately 0.2 dex for the heavy elements. Although these
error estimates may seem relatively large (and dominated by the
systematic uncertainties), we have shown in Paper I that the
results from a co-added abundance analysis of this kind are largely
consistent with those obtained from individual, high-S/N
spectroscopic measurements. Thus, the present data are adequate for
placing useful limits on the chemical abundances in Pal 4 and
characterizing the general trends (see also Shetrone et al. 2009).
5 Abundance results
Our abundance measurements based on the co-added RGB spectrum are plotted in Fig. 4. Note that the values for [Al, Zr, Ce, Dy/Fe] are only upper limits (Sect. 3.1), although we show their formal, total error bars in this figure (cf. Fig. 9).
![]() |
Figure 4:
Abundances ratios from the co-added RGB star spectrum. The dashed error
bars indicate the total uncertainties (Tables 3 in 4), while the solid
symbols represent 1 |
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5.1 Iron
Based on our sample of 19 RGB stars, we find a mean iron abundance of
![\begin{displaymath}{\rm [Fe I/H]} = -1.41\pm0.04~{\rm (statistical)} \pm0.17~{\rm (systematic)}.
\end{displaymath}](/articles/aa/full_html/2010/09/aa14155-10/img45.png)
This value is in excellent agreement with the Fe II based abundance scale of Kraft & Ivans (2003), and slightly more metal-poor than the value of



Ionization equilibrium is not fulfilled in this integrated
analysis to within the random uncertainties,
while both stages agree if one accounts for their total errors; the
mean deviation of the neutral and ionized species is [Fe I/Fe
II] =
dex.
A similar deviation was found in an identical analysis of co-addded RGB
star spectra in Paper I, although in the opposite sense (i.e.,
with Fe I yielding higher abundances). As in Paper I, we
conclude that Fe II lines in general seem ill suited to establishing a
population's iron abundance from a low-S/N spectral
co-addition (cf. Kraft & Ivans 2003; McWilliam
& Bernstein 2008).
Typical EWs of the eight Fe II lines we used in the
analysis fall in the range 20-90 mÅ. As Table 4 indicates, a
systematic increase of 0.24 dex in the surface gravity would
settle the ionization equilibrium at [Fe/H] of -1.39 dex,
which is entirely consistent with the value found above from the
neutral species. Moreover, a change in the temperature scale of just
-54 K (without altering log g)
would re-install the equilibrium at -1.44 dex (see also Koch
& McWilliam 2010).
In what follows, we therefore proceed with our adopted log g
scale and take the imbalance between ionized and neutral species at
face value.
5.2 Tests for abundance spreads
As argued earlier, an integrated abundance analysis works reliably under the ad-hoc assumption of the same chemical abundance for all stars that enter the co-added spectrum. Here we discuss several tests of how realistic this assumption is for our analysis of Pal 4.
As a first test, we consider the spread in colour about the
fiducial isochrone shown in Fig. 1. By interpolating a
finely spaced isochrone grid in metallicity and using the identical
values for age, distance modulus, and reddening as above, we find that
the colour range of the RGB targets translates into a metallicity
spread of 0.036 dex. Accounting for photometric errors, which
propagate to a mean metallicity error of 0.026 dex, we find an
intrinsic spread of 0.025 dex in the photometric
metallicities. Since this procedure did not include errors on the
distance modulus or reddening, and uncertainties in the adopted age and
-enhancement
of the isochrones will lead to even larger uncertainties, we conclude
that there is no evidence of any global abundance spread on the RGB,
based on the photometric metallicities alone. This notion is consistent
with the homogeneity (in iron or overall metallicity) of most genuine
Galactic GCs (e.g., Carretta et al. 2009).
Secondly, we divided the RGB sample in two halves and co-added
spectra for each subsample.
The above procedures to obtain iron abundance constraints from the
co-added EWs were repeated and we find slightly
more metal poor values for either subsample:
and
dex,
respectively,
where the stated uncertainties account for random errors only.
Therefore, there is no evidence of an abundance difference between the
subsets within the measurement errors. Strictly, one would need to
repeat this exercise for all (92378) possible combinations in order to
detect the maximum abundance difference, which could be indicative of
any real spread. The measurement of the 81 Fe lines in this amount of
spectra is, however, computational expensive and beyond our present
scope.
As a last test, we employed a line-coaddition technique within
the spectrum of each individual star, similar to that outlined in
Norris et al. (2007,
and references therein); see also Koch et al. (2008c): for each
star, the useable 81 Fe lines were thus shifted to zero wavelength at
each line center, and then co-added into a composite, ``master line''.
The same was carried out for a synthetic spectrum that matches the
stellar parameters of the stars. This way we find a 1
dispersion of the 19 [Fe/H] values of 0.176 dex. If we account
for the random measurement errors from this procedure and assume the
same systematic uncertainties as in our proper analysis
(Sect. 4), we estimate an intrinsic abundance spread of no
more than 0.05 dex. This is most likely an upper limit, since
radial velocity uncertainties may have a larger impact on this method,
and it is also not self evident that the systematic errors are
identical to those in Table 3.
At this low internal dispersion, however, Pal 4 does not
comply with the broad ranges found in the dSphs (e.g., Table 1
in Koch 2009),
while it is consistent with the upper limit for GC homogeneity found in
Carretta et al. (2009).
We conclude that, within the limitations of our spectral co-addition
techniques, Pal 4 most likely shows little to no abundance
spread, rendering it a genuine (MW) GC and arguing against an origin in
a dSph-like environment.
5.3 Alpha-elements
All -elements
measured in this study are enhanced with respect to Fe. While the
[Ca/Fe] and [Si/Fe] ratios show the canonical value of
0.4 dex
typical for Galactic halo field and GC stars, the abundance ratios of
Mg and Ti are slightly lower, at about 0.25 dex. Because the
latter species have slightly larger errors, the error-weighted mean of
all four elements is
![\begin{displaymath}{\rm {[}}\alpha/{\rm Fe]} = 0.38\pm0.11~{\rm ~dex}.
\end{displaymath}](/articles/aa/full_html/2010/09/aa14155-10/img52.png)
The


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Figure 5:
[ |
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Table 5: Pal 4 abundances relative to comparison clusters.
We note in passing that, although the difference [Ti I/Ti
II] = -0.24 dex is large, ionization equilibrium for
Ti is satisfied considering the large combined total error for both
species. This discrepancy is only significant at the 0.6-level and
is in the opposite sense of the deviation in Fe. In any case, a
detailed interpretation of any imbalances in terms of cumulative
non-LTE effects along the RGB in our integrated abundance analysis
would be beyond the scope of the present work (e.g., Koch &
McWilliam 2010).
At -0.15 dex, the [Mg/Ca] ratio is comparably low. While Mg is produced during the hydrostatic burning phases in the type II supernova (SN) progenitors, Ca nucleosynthesis proceeds during the SN explosion itself (e.g., Woosley & Weaver 1995). Thus, it is not evident that one element should trace the other over a broad metallicity range. In fact, theoretical yields predict a delicate mass dependance of the [Mg/Ca] ratio. In Fig. 6, we show the distributions of this ratio for Galactic halo stars (gray shaded histogram) using the data of Gratton & Sneden (1988, 1994), McWilliam et al. (1995), Ryan et al. (1996), Nissen & Schuster (1997), McWilliam (1998), Hanson et al. (1998), Burris et al. (2000), Fulbright (2000, 2002), Stephens & Boesgaard (2002), Johnson (2002), Ivans et al. (2003) and Cayrel et al. (2004).
Figure 6
also shows the currently available measurements for Local Group dSph
galaxies (black line in Fig. 6)
by Shetrone et al. (2001,
2003, 2009),
Sadakane et al. (2004),
Monaco et al. (2005),
Letarte (2007),
Koch et al. (2008a,b),
Frebel et al. (2010),
Aoki et al. (2009),
Cohen & Huang (2009)
and Feltzing et al. (2009);
see also Koch (2009).
Halo stars scatter around a [Mg/Ca] of zero, with mean and 1
dispersion of 0.05 and 0.15 dex, respectively. Stars
with very low abundance ratios are the exception (e.g., Lai
et al. 2009).
In fact, the third moment of the halo distribution, at +0.55, indicates
a higher-[Mg/Ca] tail. The dSph galaxies, on the other hand, have a
formal mean and dispersion of 0.12 and 0.23 dex. It is
important to bear in mind, though, that the abundance ratios in the
dSphs are inevitably unique characteristics of each galaxy and should
be governed by their individual star formation histories and global
properties (e.g., Lanfranchi & Matteucci 2004). In
particular the so-called ultra-faint dSph galaxies, which have very low
masses, show a propensity to reach higher [Mg/Ca] ratios as a result of
a stochastical sampling of the high-mass end of the IMF, which in turn
causes an imbalance between the Mg- and Ca-production (e.g., Koch
et al. 2008a;
Feltzing et al. 2009;
Norris et al. 2010).
In addition, the dSph galaxies show a clear extension towards low
[Mg/Ca] ratios, which reflects in an overall skewness of -0.13 in the
dSph distribution. Notably, all of the ``reference GCs'' considered
here (Table 5)
have positive Mg/Ca values. Given the rather large formal uncertainty
of
0.30 dex
on the [Mg/Ca] ratio (adding the total errors on Mg and Ca/Fe in
quadrature) our measurement
does not serve as an especially strong discriminator between halo field
or dSph origin for Pal 4. Nevertheless, its value is clearly
different from those of the remainder of inner and outer halo GCs, and
may point to different enrichment processes in the environment where
Pal 4 formed.
![]() |
Figure 6: Histograms (top panel) and cumulative distribution (bottom panel) of the [Mg/Ca] abundance ratio in Galactic halo stars (shaded histogram/black solid line) and dSph galaxies (open histogram/dashed line). Also indicated are the measurements for Pal 4 and the Galactic GCs listed in Table 5 (see Sect. 5.4). The error bar on the Pal 4 data point is the squared sum of the total Mg and Ca/Fe errors. |
Open with DEXTER |
![]() |
Figure 7:
Same as Fig. 5,
but for [Sc/Fe], [Mn/Fe], [Ni /Fe] and [Co/Cr]. Black lines denote the
regression lines and 1 |
Open with DEXTER |
5.4 Iron peak elements
Our measured [Sc/Fe], [Mn/Fe] and[ Ni/Fe] ratios are shown in Fig. 7. Owing to the relatively large number of available Ni absorption lines, [Ni/Fe] is the best determined of these ratios, and, at 0.04 dex, has a value that is fully compatible with the Solar value (that is found over a broad range of iron abundances). This is not unexpected, since the iron-peak elements strictly trace the iron production in the long-lived SNe Ia. Cr is underabundant with respect to Fe, but fully compatible with Galactic halo stars, while [Co/Fe] is slightly higher than halo stars at the same metallicity. In Fig. 7, we choose to plot [Co/Cr] as this abundance ratio has proven to be relatively insensitive to systematic effects in the stellar parameters (e.g., McWilliam et al. 1995). The high Co abundance in Pal 4, coupled with a relatively low Cr abundance, leads to the marginally higher [Co/Cr] ratio indicated in this figure. Given its large uncertainty, and because we cannot rule out the possibility that this ratio has been affected by non-LTE effects, we will refrain from drawing any conclusions about the contributions from massive stars yields to these elements' production in Pal 4 (cf. McWilliam et al. 1995; Koch et al. 2008a).
Likewise, the [Mn/Fe] ratio in Pal 4, at
-0.18 dex, is marginally higher than the value of -0.4 dex
found for halo stars in the same [Fe/H] interval (for which we
supplemented the plot with data from Gratton 1989; Feltzing
& Gustafsson 1998;
Prochaska et al. 2000;
Nissen et al. 2000;
Johnson 2002,
and Cayrel et al. 2004;
see also McWilliam et al. 2003).
However, an intercomparison of Mn data usually suffers from zero point
uncertainties (e.g., McWilliam et al. 2003) in that
abundances derived from the
4030 Å
triplet lines are systematically lower by 0.3-0.4 dex on
average relative to the redder, high-excitation lines we employed in
this study (e.g., Roederer et al. 2010). Thus
Pal 4's elevated [Mn/Fe] does not appear unusual and we do not
pursue this ratio any further. Finally, the [Cu/Fe] ratio (shown in
Fig. 8 on
top of the measurements in Galactic disk and halo stars by Prochaska
et al. 2000;
and Mishenina et al. 2002) seem to
agree well with the Galactic trend, suggestive of a common origin,
although zero-point difficulties may also affect conclusions about the
behavior of this element (e.g., McWilliam & Smecker-Hane 2005), as was
the case for Mn.
5.5 Neutron capture elements
We show in Fig. 8 the [Y/Fe] and [Ba/Fe] ratios as representatives of the heavy elements.
![]() |
Figure 8: Same as Fig. 7, but for [Cu/Fe], [Y/Fe], [Ba /Fe] and the s-process abundance ratio [Ba/Y]. |
Open with DEXTER |
All the elements with Z>38 are markedly
enhanced relative to Fe. Unfortunately, our spectra lack information
about the r-process element Eu, which prohibits any
conclusions about the relative contributions of the AGB stars that
produce the s-process elements to the early r-process
production (most likely in massive SNe II). On the other hand,
the [Ba/Y] of 0.06
is fully compatible with the values found in Galactic halo stars, while
it is strongly enhanced in the majority of the dSph stars studied to
date owing to the importance of metal-poor AGB yields in the slow
chemical evolution in these low-mass systems (e.g., Shetrone
et al. 2003;
Lanfranchi et al. 2008).
Figure 9 shows the heavy element abundances for Pal 4 together with the solar r-, s- and total scaled solar abundances from Burris et al. (2000). We have normalized the curves to the same Ba abundance. Unlike Pal 3, which was found to exhibit interesting evidence for a pure r-process origin, Pal 4's abundance data fall between the r-process curve and the solar r+s-mix. However, the majority of these elements provide upper limits at most, so we refrain from a deeper discussion of the heavy element nucleosynthesis in this GC.
![]() |
Figure 9: Neutron capture elements in Pal 4, normalized to Ba. Black lines display the solar r- and s-process contributions from Burris et al. (2000). Triangles indicate upper limits. |
Open with DEXTER |
6 Comparison to Galactic halo tracers
6.1 Halo globular clusters
Figure 10
and Table 5
compare our abundances for Pal 4 to those of a subsample of
Galactic GCs using data taken from the literature. Here we do not aim
for a comprehensive comparison with the entire MWGC population (e.g.,
Pritzl et al. 2005;
Geisler et al. 2007).
Rather, we wish to simply compare Pal 4 to a few clusters that
have been selected as broadly representative of the inner and outer
halo cluster systems.
Specifically, we use data for M 3 and M 13 from Cohen
& Meléndez (2005b),
which are archetypical inner halo GCs at
,
12 kpc (
,
15 kpc) with metallicities similar to those of Pal 4.
We also include NGC 6752 in this comparison as one of the
nearest, inner halo clusters at a comparable metallicity (Yong
et al. 2005).
Finally, we include the outer halo clusters
NGC 7492 (Cohen & Meléndez 2005a) and
Pal 3 (Paper I) as rare examples of remote
clusters with published abundances, as well as NGC 5694, a GC
that has been claimed to show abundance patterns more typical of dSph
stars than GCs (Lee et al. 2006).
![]() |
Figure 10:
Abundance differences for Pal 4, in the sense [X/Fe]
|
Open with DEXTER |
Table 5
shows the mean deviation [X/Fe]
of Pal 4's abundance ratios from the literature values for the GCs
chosen for reference. The fourth column lists the number of chemical
elements, N, that the different studies have in
common. Since Figs. 8
and 9
indicate that Pal 4 exhibits relatively high heavy element
ratios with regard to the reference sample, we also computed the
statistics for elements with Z<39 (Y) only.
This comparison suggests that Pal 4 is, on average, enhanced
with respect to each GC considered here if we account for all elements.
On the other hand, the differences are statistically insignificant if
we restrict the comparison to elements lighter than Y.
Two of the comparison GCs in Table 5 show interesting
discrepancies. The first, NGC 6752, is the innermost object in
the comparison sample and only slightly more metal-poor than
Pal 4. Although its abundance patterns are similar to the
comparison GCs and field stars at this metallicity, Yong
et al. (2005,
and references therein) found significant variations in the light and
heavy elements, which supports the view that AGB stars alone cannot
have carried the enrichment in the proto-cluster medium, although they
likely played a significant role as indicated by the observed [Ba/Eu]
ratios. While the observed differences for
would seem to suggest that the respective processes differed between
the inner (NGC 6752-like) and outer (Pal 4-like)
halo, it is clear that more measurements - particularly Eu abundances -
are needed.
The second noteworthy example, NGC 5694, exhibits
heavy element abundance ratios that are incompatible with those of
Pal 4. On the other hand, while its [Ca/Fe] is also
significantly lower, we find an identical [Mg/Fe] ratio in
Pal 4 (which, in turn, reflects in the different [Mg/Ca]
ratios; see Fig. 6).
The low values of the -element
ratios with respect to the Galactic halo have prompted Lee
et al. (2006)
to conclude that this GC is likely of an extragalactic origin. We shall
return to this issue below.
6.2 Halo field stars
Is it safe to conclude that Pal 4 is typical of the
Galactic halo population? In view of the relatively large errors that
arise from the integrated nature of our analysis, we follow Norris
et al. (2010)
in first considering the mean halo abundance
distribution. To this end, we computed the mean and dispersion for the
Galactic halo and disk stars (shown as small black dots in
Figs. 5, 7 and 8) as a function of
[Fe/H] and fitted these relations with straight lines. Although this is
an obvious oversimplification,
the halo data is adequately represented with these linear relations.
The resulting range in the Galactic abundance ratios is shown by the
black lines in Fig. 5.
We emphasize that no efforts have been taken to homogenize the various
data with respect to different approaches used in the analyses (i.e.,
regarding log gf values and atmospheres), although
we did correct for differences in the adopted Solar abundance scales
when necessary. Note that Cayrel et al. (2004) also
provide regression lines for [X/Fe] versus [Fe/H] based on their 35
metal-poor halo stars, but those stars have
[Fe/H]<-2.1 dex and an extrapolation to metallicities
of Pal 4 yields slopes that are too high to describe the -element
abundances shown here.
Pal 4 falls squarely on the regression lines for all -elements,
except for Ca, although it is still consistent within the errors even
in this case. Indeed, Pal 4 is generally in good agreement
with the GCs shown in this comparison, with the exceptions noted above.
In this picture, the proto-GC cloud from which Pal 4 formed
was considerably enriched by the short-lived SNe II that
produced the
-elements
on rapid time scales - a generic characteristic of the halo field stars
and its genuine GC system.
For the even- and odd-Z iron-peak element ratios shown in
Fig. 7, an
extrapolation of the regression lines of Cayrel et al. (2004) provide
good representations of the overall halo trends up to the metallicity
regime around Pal 4 and higher. As argued above, the [Ni/Fe]
ratio is well determined in Pal 4 and is fully compatible with
the Solar value that is observed in halo field and GC stars, bolstering
the ubiquity of iron-peak nucleosynthesis in the SNe Ia at
[Fe/H] above -2 dex.
The [Sc/Fe] ratio in Pal 4 falls towards the upper limit of
the halo distribution, which holds for all the reference GCs in our
sample, except NGC 6752. Likewise, the slight Mn enhancement
is not atypical and agrees well with, for instance, M 3. This
may indicate that the metallicity dependence of the SNe II
yields was less pronounced in the Pal 4 proto-GC cloud (cf.
McWilliam et al. 2003).
Finally, we note that the [Co/Cr] ratio is significantly larger that
those observed for the three GCs in this metallicity range. These GCs
show roughly solar values, as would be expected as both elements fall
close together on the iron peak. McWilliam et al. (1995) first
detected a strong rise of this ratio in metal-poor halo stars below
-2.4 dex.
In fact, the observed [Co/Cr] of
dex
is reminiscent of NGC 7492, albeit at a metallicity that is
higher by roughly 0.5 dex.
In the case of Cu, and the n-capture
elements Y and Ba, the scatter in the halo abundance ratios is more
difficult to evaluate due to a much sparser sampling of those elements
and a notably increased (and real) abundance scatter among the
metal-poor stars below -2 dex.
We therefore restrict the following brief discussion of Fig. 8 to the scatter plots
without quantifying any linear trends.
While the [Y/Fe] ratio lies above the bulk of the halo data, and is also higher than our comparison clusters by more than 0.3 dex, Ba seems only mildy enhanced with respect to these populations. Overall, the s-process ratio [Ba/Y] is in full agreement with the halo fields stars within the scatter. However, Pritzl et al. (2005) have shown that, in comparison with (thick) disk GCs, the halo clusters tend to be offset more towards higher [Ba/Y] ratios, and so are the dSphs. The latter is usually interpreted in terms of the low star formation efficiencies of the dSph galaxies, which leaves room for a much stronger contribution from metal-poor AGB stars that are the main sites of the s-process (e.g., Busso et al. 2001; Lanfranchi et al. 2008). The three GCs with the very high [Ba/Y] ratios in Fig. 10 are M 3, M 13 and NGC 7492 and therefore representatives of the inner and outer halo. Following this line of reasoning, the slow star forming rates and metallicity dependent AGB-yields that cause enhancements in this ratio appear to be unrelated to location within the halo. In Paper I we found that Pal 3's heavy elements are largely governed by r-process nucleosynthesis. From the sparse data for Z>38 in NGC 5496, it cannot be excluded that this cluster also follows this trend, so that the above arguments regarding bimodal s-process ratios may not apply to these remote halo clusters. In any case, we emphasize that detailed r- and s-process abundance measurements for individual stars are vital for resolving these questions.
6.3 Comparison with other substructures in the outer halo
In this section, we compare our abundances for Pal 3 (Paper I) and Pal 4 to published values for other ``substructures'' or ``overdensities'' in the outer halo of the Milky Way, regardless of their morphological classification. Our comparison therefore focuses on a sample of 13 halo GCs, seven dSph galaxies (Sagittarius, Fornax, Draco, Sextans, Carina, Ursa Minor and Leo II) with abundance data from Shetrone et al. (2001, 2003, 2009); Sadakane et al. (2004); Monaco et al. (2005); Letarte (2007); Koch et al. (2008b); Cohen & Huang (2009); Aoki et al. (2009); and the five so-called ``ultra-faint'' dSph galaxies (hereafter UF-dSphs; Hercules, Coma Berenices, Ursa Major II, Bootes I and Leo IV) with published abundance information (Koch et al. 2008a; Frebel et al. 2010; Feltzing et al. 2009; Simon et al. 2010).
All GCs shown here were selected to have Galactocentric
distances kpc;
including Pal 3 and Pal 4 gives us a total of five
GCs beyond
kpc,
and three of these GCs (Pal 3, Pal 4 and
NGC 2419) are at
kpc.
Note that only two other GCs in the catalog of Harris (1996) lie at or
beyond this distance (Eridanus and AM 1). Thus, while the
available abundance measurements are certainly still sparse (i.e.,
being based on just a single RGB star in NGC 2419, four RGB
stars in Pal 3, and co-added spectra for 19 RGB stars in
Pal 4; Shetrone et al. 2001;
Paper I), it is now possible to have first glimpse into the
abundance patterns of the most remote Galactic GCs, and their
relationship, if any, to the dSph and UF-dSph galaxies residing in the
outer halo.
Because the number of element abundance measurements is generally
limited (and differs amongst the various studies), we restrict our
comparison to [Fe/H] and [
/Fe],
where we take [
/Fe]
([Mg/Fe] +
[Ca/Fe] + [Ti/Fe])/3.
![]() |
Figure 11:
Dependence of [Fe/H] and [ |
Open with DEXTER |
In Fig. 11,
we show the behaviour of [Fe/H] and [/Fe] for stars belonging to
halo GCs (blue squares), the more luminous dSph galaxies (orange
circles) and UF-dSph galaxies (brown circles). Note that we plot GCs in
the range
kpc
as open blue squares, while GCs in the range
kpc
are shown as filled blue squares. Abundances are plotted against total V-band
magnitude, MV,
central V-band surface brightness,
,
and effective (or half-light) radius,
(Harris 1996;
Irwin & Hatzidimitriou 1995;
Mateo 1998;
McLaughlin & van der Marel 2005; Martin
et al. 2008).
Pal 3 and 4 are highlighted as the large red square and star,
respectively, while the third GC at
kpc,
NGC 2419, is labelled in each panel.
There are several interesting conclusions to be drawn from
this figure. First, Pal 3 and 4 appear as near ``twins'' in
this comparison, having similar Galactocentric distances, structural
parameters (notably large radii), V-band
luminosities, metallicities and -element enhancements.
NGC 2419, although much more luminous than either
Pal 3 or Pal 4, appears similar in terms of its
-enhancement.
For these three GCs, which lie in the range
kpc,
we find a mean of
![\begin{displaymath}\langle{\rm {[}}\alpha/{\rm Fe]}\rangle = +0.31\pm0.09~{\rm ~dex}.
\end{displaymath}](/articles/aa/full_html/2010/09/aa14155-10/img80.png)
Adding NGC 5694 and NGC 7006, we find
![\begin{displaymath}\langle{\rm {[}}\alpha/{\rm Fe]}\rangle = +0.24\pm0.13~{\rm ~dex}
\end{displaymath}](/articles/aa/full_html/2010/09/aa14155-10/img81.png)
for the five GCs with





In absolute terms, the mean [/Fe] for the
most remote GCs is indistinguishable from that found in the UF-dSph
galaxies shown in Fig. 11,
which have
dex
and a full range of +0.03 to +0.65 dex (based on measurements
for nine stars in Her, UMa II, Com, and Leo IV). Note
that Pal 3 and 4 are atypical of Galactic GCs in terms of
their structural parameters, being unusually extended (
pc,
or roughly fives times as large as ``typical'' GCs; Jordán
et al. 2005)
and having low surface brightness (with
mag arcsec-2).
Thus, at least superficially, these remote GCs may have more in common
with some UF-dSph galaxies than their apparent counterparts in the
inner halo.
There are, at present, two characteristics of the UF-dSph population that suggest they are indeed low-luminosity galaxies rather than faint, extended GCs (e.g., Larsen & Brodie 2002; Mackey et al. 2006; Peng et al. 2006). The first such characteristic is their very large mass-to-light ratios, which point to the presence of significant dark matter halos (Simon & Geha 2007; Strigari et al. 2008). Secondly, the UF-dSphs seem to have abundances that fall along the extrapolation of the dwarf galaxy metallicity-luminosity relation, with significant intrinsic dispersions in metallicity (Kirby et al. 2008). Using these criteria, what can we conclude about the origin of the most remote halo GCs?
Unfortunately, it is difficult to draw firm conclusions on
possible metallicity spreads in these systems since there are
measurements for just a single RGB star in NGC 2419 (Shetrone
et al. 2001),
and our analysis of co-added spectra in Pal 4 presupposes that
there is no abundance spread (see Sects. 1, 5.2). In
the case of Pal 3, where high-quality MIKE spectra are
available for four RGB stars, we can confidently rule out an abundance
spread larger than 0.1 dex
(Paper I). Regarding the dark matter content of these systems,
Baumgardt et al. (2009)
have recently carried out a dynamical analysis of NGC 2419,
finding
in solar units. This value is typical of GCs (McLaughlin & van
der Marel 2005)
and much smaller than the extreme values reported
for UF-dSphs (e.g., Simon & Geha 2007; Strigari
et al. 2008).
Detailed dynamical modeling of Pal 3 and 4 will be the subject
of a future paper in this series, but it is clear that the extreme M/LV
values for UF-dSph galaxies can be ruled out at a very high confidence
(i.e., for a system like Pal 4, with
,
known UF-dSphs have mass-to-light ratios of
to
104; Strigari et al. 2008; Geha
et al. 2009).
In short, the available evidence suggests that Pal 4 (and Pal 3) formed in a manner resembling that of typical halo GCs, although it is clear that additional abundance measurements for stars in these and other remote GCs is needed urgently. Indeed, each contains many RGB stars that are well within the reach of high-resolution spectrographs on 8 m-class telescopes. Such observations would allow a direct measurement of the intrinsic abundance spread within these systems - an important clue to their origin and relationship to other halo substructures such as dSph and UF-dSph galaxies.
7 Summary
Motivated by the good agreement between the abundance ratios measured from high-S/N spectra of individual stars in Pal 3 and those found using co-added, low-S/N spectra (Paper I), we have used the same technique to measure chemical abundance ratios in the remote halo GC Pal 4. Although systematic uncertainties and the low S/N ratios complicate such studies, an accuracy of 0.2 dex is possible for most abundance ratios, sufficient to place such faint and remote systems into a context with both the inner and outer halo GCs, as well as dSph and UF-dSph galaxies. In the future, this technique may enable the global abundance patterns to be characterized in additional remote systems, allowing a first reconnaissance of the chemical enrichment histories of remote Galactic satellites.
Perhaps the most striking finding in Pal 4 is the subsolar [Mg/Ca] ratio, which is not observed in the sample of reference GCs that span a broad range of Galactocentric distances. Despite an overlap of our observed ratio with the halo field population, its low value may rather resemble the low-[Mg/Ca] tail of the distribution for dSph stars. In contrast, we see tentative evidence for a solar [Ba/Y] ratio, which militates against a slow chemical evolution and accompanying AGB enrichment as suggested by enhanced [Ba/Y] values in about two thirds of the dSph stars studied to date. Overall, most of the element ratios determined in this study overlap with the corresponding measurements for halo field stars, although a few ratios seem to fall above the halo star trends (see Sect. 5). This favors a scenario in which the material from which both Pal 4 and the Galactic halo formed underwent rather similar enrichment processes.
In their analysis of the CMD of Pal 4, Stetson
et al. (1999)
state that the cluster is younger than the inner halo GC M5 by about
1.5 Gyr (at [Fe/H] = -1.33 dex; Ivans et al. 2003; Koch
& McWilliam 2010)
if they ``all have the same composition - and
[...] this means both [Fe/H] and [/Fe]''. Our work has shown
that Pal 4 is enhanced by
dex
in the
-elements,
which is consistent with the value of 0.3 dex assumed in the
above CMD modeling. On the other hand, the CMD analysis suggested an
[Fe/H] of -1.28 dex, which is slightly more metal rich than
what we found in the present spectroscopic study:
[Fe/H]
dex. As noted in
Vandenberg (2000),
``an increase in [Fe/H] or [
/Fe] would result in slightly
younger [...] ages'' for Pal 4 (as determined via the
magnitude offset between the horizontal branch and main-sequence
turnoff). This would imply that Pal 4 is slightly older than
found in Stetson et al. (1999) and hence
more similar in age to the older halo population. This, however, is in
contradiction to the younger age suggested by its peculiar (i.e., red)
horizontal branch morphology, unless further parameters, such as red
giant mass loss, are invoked (Catelan 2000).
Based on the evidence at hand, Pal 4 seems to have an abundance pattern that is typical of other remote GCs in the outer halo. An open question, given the nature of our analysis which relies on co-adding individual RGB star spectra, is whether Pal 4 is monometallic or, like dSph and UF-dSph galaxies, shows an internal spread in metallicity. We argued in Sect. 5.2. judging from our limited quality spectra, however, that it is unlikely that this object exhibits any significant intrinsic iron scatter. It is clear that high-quality abundance ratio measurements for individual stars in Pal 4 and other remote substructures are urgently needed to understand the relationship, if any, between remote GCs and other substructures in the outer halo.
AcknowledgementsWe thank I. U. Roederer for discussions and an anonymous referee for a very helpful report. A.K. acknowledges support by an STFC postdoctoral fellowship. This work was based on observations obtained at the W. M. Keck Observatory, which is operated jointly by the California Institute of Technology and the University of California. We are grateful to the W. M. Keck Foundation for their vision and generosity. We recognize the great importance of Mauna Kea to both the native Hawaiian and astronomical communities, and we are grateful for the opportunity to observe from this special place.
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Online Material
Table 1: Observation log and properties of the target stars.
Table 2: Linelist. ``HFS'' indicates that hyperfine splitting was taken into account for these transitions.
Footnotes
- ... spectroscopy
- Tables 1 and 2 are only available in electronic form at http://www.aanda.org
- ... MAKEE
- MAKEE was developed by T. A. Barlow specifically for reduction of Keck HIRES data. It is freely available on the World Wide Web at the Keck Observatory home page, http://www2.keck.hawaii.edu/inst/hires/makeewww
- ...
Kurucz
- http://cfaku5.cfa.harvard.edu/grids.html
- ...2003)
- http://wwwuser.oat.ts.astro.it/castelli
- ... subsample
- In practice stars were chosen to alternate in magnitude so that sample #1 includes Pal4-1,3,6,8,10,19,23,25,28,31, and the remainder constitutes sample #2.
All Tables
Table 3: Abundance results from the co-added red giant spectrum.
Table 4: Error analysis: deviations from the abundances in Table 3.
Table 5: Pal 4 abundances relative to comparison clusters.
Table 1: Observation log and properties of the target stars.
Table 2: Linelist. ``HFS'' indicates that hyperfine splitting was taken into account for these transitions.
All Figures
![]() |
Figure 1: CMD of Pal 4 based on photometry from Saha et al. (2005). The HIRES targets are highlighted as red symbols, with open stars denoting AGB candidates. Also shown is a scaled-solar Dartmouth isochrone (Dotter et al. 2008) with an age of 10 Gyr and a [Fe/H] of -1.4 dex, corrected for E(B-V)=0.01 and a distance modulus of 20.22 mag (Stetson et al. 1999). |
Open with DEXTER | |
In the text |
![]() |
Figure 2: A portion of the co-added spectra in one order with relatively high S/N ratio. A few absorption lines are designated. Also indicated is the subsample of stars that was included in the co-additions. |
Open with DEXTER | |
In the text |
![]() |
Figure 3: Distribution of stellar parameters for the RBG and AGB stars (open and shaded histograms, respectively). |
Open with DEXTER | |
In the text |
![]() |
Figure 4:
Abundances ratios from the co-added RGB star spectrum. The dashed error
bars indicate the total uncertainties (Tables 3 in 4), while the solid
symbols represent 1 |
Open with DEXTER | |
In the text |
![]() |
Figure 5:
[ |
Open with DEXTER | |
In the text |
![]() |
Figure 6: Histograms (top panel) and cumulative distribution (bottom panel) of the [Mg/Ca] abundance ratio in Galactic halo stars (shaded histogram/black solid line) and dSph galaxies (open histogram/dashed line). Also indicated are the measurements for Pal 4 and the Galactic GCs listed in Table 5 (see Sect. 5.4). The error bar on the Pal 4 data point is the squared sum of the total Mg and Ca/Fe errors. |
Open with DEXTER | |
In the text |
![]() |
Figure 7:
Same as Fig. 5,
but for [Sc/Fe], [Mn/Fe], [Ni /Fe] and [Co/Cr]. Black lines denote the
regression lines and 1 |
Open with DEXTER | |
In the text |
![]() |
Figure 8: Same as Fig. 7, but for [Cu/Fe], [Y/Fe], [Ba /Fe] and the s-process abundance ratio [Ba/Y]. |
Open with DEXTER | |
In the text |
![]() |
Figure 9: Neutron capture elements in Pal 4, normalized to Ba. Black lines display the solar r- and s-process contributions from Burris et al. (2000). Triangles indicate upper limits. |
Open with DEXTER | |
In the text |
![]() |
Figure 10:
Abundance differences for Pal 4, in the sense [X/Fe]
|
Open with DEXTER | |
In the text |
![]() |
Figure 11:
Dependence of [Fe/H] and [ |
Open with DEXTER | |
In the text |
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