Issue |
A&A
Volume 511, February 2010
|
|
---|---|---|
Article Number | L10 | |
Number of page(s) | 9 | |
Section | Letters | |
DOI | https://doi.org/10.1051/0004-6361/200913877 | |
Published online | 16 March 2010 |
LETTER TO THE EDITOR
Two distinct halo populations in the solar neighborhood
,
,![[*]](/icons/foot_motif.png)
Evidence from stellar abundance ratios and kinematics
P. E. Nissen1 - W. J. Schuster2
1 - Department of Physics and Astronomy, University of Aarhus, 8000
Aarhus C, Denmark
2 - Observatorio Astronómico Nacional, Universidad Nacional Autónoma
de México, Apartado Postal 877, CP 22800 Ensenada, B.C., México
Received 15 December 2009 / Accepted 18 February 2010
Abstract
Aims. Precise abundance ratios are determined for 94 dwarf stars with
K, -1.6 < [Fe/H] < -0.4, and distances
pc. Most of them have halo kinematics, but 16 thick-disk stars are included.
Methods. Equivalent widths of atomic lines are measured from VLT/UVES and NOT/FIES spectra with resolutions
and
,
respectively. An LTE abundance analysis based on MARCS models is
applied to derive precise differential abundance ratios of Na, Mg, Si,
Ca, Ti, Cr, and Ni with respect to Fe.
Results. The halo stars fall into two populations, clearly separated in [/Fe], where
refers to the average abundance of Mg, Si, Ca, and Ti. Differences in
[Na/Fe] and [Ni/Fe] are also present with a remarkably clear
correlation between these two abundance ratios.
Conclusions. The ``high-''
stars may be ancient disk or bulge stars ``heated'' to halo kinematics
by merging satellite galaxies or they could have formed as the first
stars during the collapse of a proto-Galactic gas cloud. The kinematics
of the ``low-
'' stars suggest that they have been accreted from dwarf galaxies, and that some of them may originate from the
Cen progenitor galaxy.
Key words: stars: abundances - stars: kinematics and dynamics - Galaxy: halo - Galaxy: formation
1 Introduction
Studies of stellar populations are of high importance for understanding the formation and evolution of the Milky Way. In this context, it has been discussed whether the Galactic halo consists of more than one population. The monolithic collapse model of Eggen et al. (1962) corresponds to a single population, but from a study of globular clusters, Searle & Zinn (1978) suggested that the halo contains two populations: i) an inner, old, flattened population with a slight prograde rotation formed during a dissipative collapse; and ii) an outer, younger, spherical population accreted from dwarf galaxies. The presence of this dichotomy was supported by a study of
Elemental abundances of stars in the solar neighborhood may provide
additional information about the halo populations.
In this context, the ratio [/Fe], where
refers to the
average abundance of Mg, Si, Ca, and Ti, is of particular
interest. The
-elements are produced mainly
during type II supernovae (SNe) explosions on a short timescale
(
107 years), whereas iron is also produced by type Ia SNe on a
much longer timescale (
109 years). Hence, [
/Fe] can be
used as a ``clock'' to probe the star formation history of
a Galactic component.
Several previous studies have focused on the possible differences in
[/Fe] for stars in the solar neighborhood.
Fulbright (2002), Stephens & Boesgaard (2002),
and Gratton et al. (2003) all find evidence that stars
associated with the outer halo have lower
[
/Fe] than stars connected to the inner halo.
The differences in [
/Fe] found in these studies are, however,
not larger than 0.1 dex, and it is unclear whether the distribution of [
/Fe] is continuous or bimodal. Nissen & Schuster (1997)
achieved a higher precision measurement of [
/Fe] and
found evidence of a bimodal distribution of
[
/Fe] for 13 halo stars with
,
but
a larger sample of these ``metal-rich'' halo stars needs to be
observed to confirm these findings and study possible correlations with kinematics.
In this Letter, we present the first results of such a study.
2 Sample selection and observed spectra
Stars were selected from the Schuster et al. (2006) uvby-





![$\mbox{\rm [Fe/H]}\ga -1.6$](/articles/aa/full_html/2010/03/aa13877-09/img42.png)

The UVES spectra cover the spectral region 4800-6800 Å and
have resolutions
and signal-to-noise ratios
(S/N) from 250 to 500.
The FIES spectra range from 4000 to 7000 Å,
but only the 4700-6400 Å region was employed,
with a resolution
and
-200.
The majority of the UVES stars had reduced spectra
available in the archive, but for stars
observed with an image slicer, the raw data were reduced
using the echelle package in IRAF.
The FIES data were handled by FIEStool, a data
reduction package developed by E. Stempels.
Equivalent widths (EWs) of 130 to 180 atomic lines were measured for each star. The large majority of the lines have EWs between 2 and 90 mÅ. For six stars, both UVES and FIES spectra are available. The average EW difference (FIES - UVES) is 0.6 mÅ with a rms deviation of 1.3 mÅ.
3 Stellar parameters and abundances
Element abundances are derived from EWs using the Uppsala EQWIDH program together with model atmospheres interpolated from the new MARCS grid (Gustafsson et al. 2008). Two sets of models are available with different values of [


The abundance analysis
is performed differentially with respect to two bright thick-disk stars,
HD 22879 and HD 76932. Their effective temperatures
are determined from (
and (
using the calibrations of
Ramírez & Meléndez (2005).
Surface gravities are derived from Hipparcos
parallaxes as described by Nissen et al. (2004),
and chemical abundances
from a differential analysis with respect to the Sun,
using a subset of
80 lines, which
are relatively unblended in the solar flux spectrum
of Kurucz et al. (1984).
In an ``inverted'' abundance analysis, the data
from the star-Sun analysis are then used to determine
gf-values for the whole set of
180 lines.
These gf-values are applied for the abundance analysis
of all program stars.
We then determine
so that the
[Fe/H] derived from the Fe I lines is independent of
excitation potential. As the Fe I lines are also
used to determine
by minimizing the dependence of [Fe/H]
on EW, iteration is needed
to obtain consistent values of
and
.
We estimate a differential error of
K
by comparing
values derived from the Fe I excitation balance
with those inferred from (
and (
colors
for a subset of 44 nearby stars that appear to be
unreddened according to the absence of interstellar NaD lines.
The surface gravity is estimated by ensuring that
Fe I and Fe II lines provide consistent Fe abundances.
Comparison of these spectroscopic gravities
with values determined from Hipparcos parallaxes
for the nearby stars shows that log g is determined differentially
to a precision of 0.05 dex.
The derived abundance ratios of Na, Mg, Si, Ca, Ti, Cr, and Ni with respect to Fe are given in Tables 3 and 4. All abundance ratios are based on neutral lines. The numbers of the lines applied are Na I 2-5, Mg I 1-2, Si I 5-10, Ca I 6-9, Ti I 9-14, Cr I 4-7, Fe I 70-92, Fe II 14-16, and Ni I 20-27, where the first number refers to the most metal-poor stars, and the last to the most metal-rich.
The errors in the abundance
ratios were estimated by comparing results obtained from
UVES and FIES spectra for the six stars observed with
both instruments (see Tables 3 and 4).
The spectra of these stars have typical S/N,
except HD 189558 that has an unusually high quality FIES spectrum
(
).
This comparison shows that differential values of [Fe/H], [Na/Fe], [Mg/Fe], and [Si/Fe] are determined to a 1-
precision of 0.03 to 0.04 dex, whereas
the precision of [Ca/Fe], [Ti/Fe], [Cr/Fe], and [
/Fe] is about 0.02 dex.
The error in [Ni/Fe] is as small as 0.01 dex, because of the many
Fe I and Ni I lines available. We note that errors in
the abundance ratios caused by errors in
and log g are
small compared to errors induced by the EW measurements, because all ratios
are derived from neutral atomic lines with similar sensitivity to
and log g.
![]() |
Figure 1:
[Mg/Fe] and [ |
Open with DEXTER |
Figure 1 shows [Mg/Fe] and [/Fe] as a function of [Fe/H]. We note that there are no systematic offsets
between the UVES and the FIES data. The corresponding figure for
[Si/Fe], [Ca/Fe], and [Ti/Fe] is shown in the Online Section.
As can be seen, the halo stars consist of two distinct populations,
the ``high-
'' stars with a nearly constant [
/Fe] and the ``low-
'' stars with a declining
[
/Fe] as a function of increasing metallicity. A
classification into these two populations was performed
on the basis of [Mg/Fe]. In the range
,
the two populations tend to merge, and the classification
is less clear. The high-
and low-
halo populations
also separate well in [Na/Fe] and [Ni/Fe] with the exceptions of two Na-rich stars.
The abundance differences can be seen directly from the observed
spectra as shown in the Online section.
The scatter in the abundance ratios for the high-and thick-disk stars relative to the best-fit linear relations
is 0.032 dex for [Mg/Fe] and 0.030 dex for [
/Fe].
This is similar to the estimated errors of the analysis.
For the low-
stars, there are, however, abundance differences
from the trends that cannot be explained by the errors alone,
especially in the case of [Na/Fe] and [Ni/Fe]. The clear correlation
between these ratios (Fig. 2) confirms that
cosmic variations in these ratios are present at a given [Fe/H].
![]() |
Figure 2: [Ni/Fe] versus [Na/Fe] with the same symbols as in Fig. 1. The linear fit does not include the two Na-rich stars. |
Open with DEXTER |
4 Kinematics
To calculate the stellar space velocities, we acquired proper motions from the Tycho-2 catalogue (Høg et al. 2000, 88 stars), the new reduction of the Hipparcos data (van Leeuwen 2007, 4 stars), and the revised NLTT (Salim & Gould 2003, 2 stars). Distances of stars were calculated from the parallaxes of van Leeuwen (2007), when the errors in these are less than 10%, and if not, from the photometric absolute magnitude calibration by Schuster et al. (2004, 2006). The radial velocities of the stars were derived from our own spectra and have errors of
With these data as input, the formulae and matrix equations of
Johnson & Soderblom (1987) were used to calculate
the Galactic velocity components (U, V, W) and their errors.
Correction for a solar motion of (+7.5, +13.5, +6.8) km s-1
with respect to the LSR was adopted from
Francis & Anderson (2009). The resulting values of
,
and
are given in
Tables 3 and 4.
The average errors of these velocities for the halo stars
are
km s-1 with a major contribution
from the error in the distances.
Figure 3 shows the Toomre diagram for the thick-disk and
halo stars that could be clearly classified as belonging to
either the high-
or the low-
population.
Assuming Gaussian velocity
distributions with canonical dispersions and asymmetric drifts
for the thin-disk, thick-disk, and halo populations, stars with
km s-1 generally have a high probability of belonging
to the halo population (Venn et al. 2004).
If, on the other hand, the velocity distribution of the thick disk is
non-Gaussian with an extended tail toward high velocities, as in
the model of the Galactic disks by Schönrich & Binney
(2009), then the high-
stars with
km s-1 might belong to the thick-disk population.
Nevertheless, the remaining high-
halo stars exhibit a
well-defined trend that is clearly separated from that of
the low-
stars.
![]() |
Figure 3:
Toomre diagram for stars with
|
Open with DEXTER |
5 Discussion
As discussed in detail by Gilmore & Wyse
(1998), the near-constancy of [/Fe]
for the high-
and thick-disk stars suggests that they
formed in regions with such a high star formation rate that only
type II SNe contributed to their chemical enrichment up to
.
On the other hand, the low-
stars originate in
regions with a relatively slow chemical evolution so that
type Ia SNe have started to contribute iron at
causing [
/Fe] to decrease toward higher
metallicities.
The distinction between the two halo populations is greater for [Mg/Fe] than for both [Ca/Fe] and [Ti/Fe], probably because of different SNe Ia yields. According to Tsujimoto et al. (1995), the relative contributions of SNe Ia to the solar abundances are negligible for Mg, 17% for Si, 25% for Ca, and 57% for Fe.
As discussed by Venn et al. (2004), the yields of the
neutron-rich isotopes 23Na and 58Ni from massive stars
is controlled by the neutron excess, which depends on the initial
heavy-element abundance (Arnett 1971).
It would be interesting to investigate
in more detail whether these dependences could explain
the underabundances of Na and Ni in low-
stars
and the correlation seen in Fig. 2.
As seen in the Toomre diagram, the high-
stars show
evidence of being more bound to the Galaxy and
favoring prograde Galactic orbits, while the low-
stars are less bound with two-thirds of them being on
retrograde orbits. This suggests that the high-
population is connected to a dissipative component of the Galaxy
that experienced rapid chemical evolution similar to that of the thick disk,
whereas the low-
stars were accreted
from dwarf galaxies that had lower star formation rates.
Present-day dwarf spheroidal galaxies tend to have even
lower values of [/Fe], [Na/Fe], and [Ni/Fe]
than the low-
halo stars for the range
(Tolstoy et al. 2009). This offset agrees with
the predictions of the simulations of
a hierarchically formed stellar halo in a
CDM Universe by Font et al. (2006).
The bulk of halo stars originate from early accreted,
massive dwarf galaxies with efficient star formation, whereas
surviving satellite galaxies in the outer halo are on average
of lower mass and experience slower chemical evolution with a greater
contribution from type Ia SNe at a given metallicity.
The predicted [Mg/Fe] versus [Fe/H] relation for the accreted halo stars agrees
remarkably well with the trend for the low-
halo stars. However,
Font et al. do not explain the existence of high-
halo stars.
Two
CDM simulations suggest a dual origin
of stars in the inner Galactic halo. Purcell et al. (2010)
propose that ancient stars formed in the Galactic disk may be ejected
into the halo by the merging of satellite galaxies, and
Zolotov et al. (2009) find that stars formed out of accreted
gas in the inner 1 kpc of the Galaxy can be displaced into the halo through
a succession of mergers. Alternatively, the high-
population
might have formed as the first stars in a dissipative collapse
of a proto-Galactic gas cloud (Gilmore et al. 1989;
Schuster et al. 2006, Sect. 8.2).
![]() |
Figure 4:
[Na/Fe] versus
|
Open with DEXTER |
The retrograde low-
stars in Fig. 3
have an average Galactic rotation velocity of
km s-1, which is close to that of the
Cen globular cluster (Dinescu et al. 1999).
As often discussed (e.g., Bekki & Freeman 2003),
Cen is
probably the nucleus of a captured satellite galaxy with its
own chemical enrichment history. Meza et al. (2005)
simulated the orbital characteristics of the tidal debris of
such a satellite dragged into the
Galactic plane by dynamical friction. The captured stars
have rather small W-velocities but a wide, double-peaked
U-distribution, similar to the W-U distribution
observed for the low-
halo (see Online section).
As shown in Fig. 4, stars with
extreme U velocities tend to have the lowest [Na/Fe] values,
which corroborates their having a special origin.
In support of a connection between low-
stars and
Cen, we note that stars in this globular cluster
exhibit a wide range of [Fe/H] values and a decline in [
/Fe] for metallicities above
(Origlia et al. 2003).
Johnson et al. (2009), on the other hand,
find that [Na/Fe] in
Cen red giants increases from about -0.2 dex
at
to +0.8 dex at
.
A similar increase is not seen for the low-
halo stars.
Enhancements of Na and a
Na-O anticorrelation are present in all well-studied globular clusters
(Carretta et al. 2009) and may be caused by the
chemical enrichment from intermediate-mass AGB stars undergoing
hot-bottom hydrogen burning. According to the hydrodynamical
simulations of D'Ercole et al. (2008), the gas ejected
from these AGB stars collects in the cluster core via cooling flows,
which may explain the difference in [Na/Fe] between stars remaining in
Cen itself and those originating in the progenitor galaxy.
We conclude that the derived abundance ratios provide clear evidence
of two distinct populations of stars that are among the most
metal-rich in the Galactic halo. The reason that previous studies
have failed to detect this dichotomy may be ascribed to the lower precision
of the abundances for less homogeneous
samples of stars,
and greater focus on metal-poor stars.
The high-stars may be ancient disk or bulge stars ``heated'' to halo kinematics
by merging satellite galaxies or they could be the first stars
formed in a dissipative
collapse of a proto-Galactic gas cloud. The low-
stars are probably
accreted from dwarf galaxies, and some are likely
to be associated with the
Cen progenitor galaxy.
Further studies of possible
correlations between the abundance ratios and orbital parameters of
the stars may help us to clarify the origin of the two populations.
We thank the anonymous referee for comments and suggestions, which helped to improve this Letter significantly.
References
- Arnett, W. D. 1971, ApJ, 166, 153 [NASA ADS] [CrossRef] [Google Scholar]
- Bekki, K., & Freeman, K. C. 2003, MNRAS, 346, L11 [NASA ADS] [CrossRef] [Google Scholar]
- Carollo, D., Beers, T. C., Lee, Y. S., et al. 2007, Nature, 450, 1020 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Carretta, E., Bragaglia, A., Gratton, R., & Lucatello, S. 2009, A&A, 505, 139 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- D'Ercole, A, Vesperini, E., D'Antona, F., McMillan, S. L. W., & Recchi, S. 2008, MNRAS, 391, 825 [NASA ADS] [CrossRef] [Google Scholar]
- Dinescu, D. I., Girard, T. M., & van Altena, W. F. 1999, AJ, 117, 1792 [NASA ADS] [CrossRef] [Google Scholar]
- Eggen, O. J., Lynden-Bell, D., & Sandage, A. R. 1962, ApJ, 136, 748 [NASA ADS] [CrossRef] [Google Scholar]
- Font, A. S., Johnston, K. V., Bullock, J. S., & Robertson, B. E. 2006, ApJ, 638, 585 [Google Scholar]
- Francis, C., & Anderson, E. 2009, New Astron., 14, 615 [NASA ADS] [CrossRef] [Google Scholar]
- Fulbright, J. P. 2002, AJ, 123, 404 [NASA ADS] [CrossRef] [Google Scholar]
- Gilmore, G., & Wyse, R. F. G. 1998, AJ, 116, 748 [NASA ADS] [CrossRef] [Google Scholar]
- Gilmore, G., Wyse, R. F. G., & Kuijken, K. 1989, ARA&A, 27, 555 [NASA ADS] [CrossRef] [Google Scholar]
- Gratton, R. G., Caretta, E., Desidera, S., et al. 2003, A&A, 406, 131 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gustafsson, B., Edvardsson, B., Eriksson, K., et al. 2008, A&A, 486, 951 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Høg, E., Fabricius, C., Makarov, V. V., et al. 2000, A&A, 335, L27 [Google Scholar]
- Johnson, C. I., Pilachowski, C. A., Rich, R. M., & Fulbright, J. P. 2009, ApJ, 698, 2048 [NASA ADS] [CrossRef] [Google Scholar]
- Johnson, D. R. H., & Soderblom, D. R. 1987, AJ, 93, 864 [NASA ADS] [CrossRef] [Google Scholar]
- Kurucz, R. L., Furenlid, I., Brault, J., & Testerman, L. 1984, Solar Flux Atlas from 296 to 1300 nm, National Solar Observatory, Sunspot, New Mexico [Google Scholar]
- Meza, A., Navarro, J. F., Abadi, M. G., & Steinmetz, M. 2005, MNRAS, 359, 93 [NASA ADS] [CrossRef] [Google Scholar]
- Nissen, P. E., & Schuster, W. J. 1997, A&A, 326, 751 [NASA ADS] [Google Scholar]
- Nissen, P. E., Chen, Y. Q., Asplund, M., & Pettini, M. 2004, A&A, 415, 993 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Origlia, L., Ferraro, F. R., Bellazzini, M., & Pancino, E. 2003, ApJ, 591, 916 [NASA ADS] [CrossRef] [Google Scholar]
- Purcell, C. W., Bullock, J. S., & Kazantzidis S. 2010, MNRAS, accepted, [arXiv:0910.5481] [Google Scholar]
- Ramírez, I., & Meléndez, J. 2005, ApJ, 626, 465 [Google Scholar]
- Salim, S., & Gould, A. 2003, ApJ, 582, 1011 [NASA ADS] [CrossRef] [Google Scholar]
- Schönrich, R., & Binney, J. 2009, MNRAS, 399, 1145 [NASA ADS] [CrossRef] [Google Scholar]
- Schuster, W. J., Beers, T. C., Michel, R., Nissen, P. E., & Garía, G. 2004, A&A, 422, 527 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Schuster, W. J., Moitinho, A., Márquez, A., Parrao, L., & Covarrubias, E. 2006, A&A, 445, 939 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Searle, L., & Zinn, R. 1978, ApJ, 225, 357 [NASA ADS] [CrossRef] [Google Scholar]
- Stephens, A., & Boesgaard, A. M. 2002, AJ, 123, 1647 [NASA ADS] [CrossRef] [Google Scholar]
- Tolstoy, E., Hill, V., & Tosi, M. 2009, ARA&A, 47, 371 [NASA ADS] [CrossRef] [Google Scholar]
- Tsujimoto, T., Nomoto, K., Yoshii, Y., et al. 1995, MNRAS, 277, 945 [NASA ADS] [CrossRef] [Google Scholar]
- van Leeuwen, F. 2007, Hipparcos, the New Reduction of the Raw Data, Astrophys. Space Sci. Library, 350 (Springer) [Google Scholar]
- Venn, K. A., Irwin, M., Shetrone, M. D., et al. 2004, AJ, 128, 1177 [NASA ADS] [CrossRef] [Google Scholar]
- Zolotov, A., Willman, B., Brooks, A. M., et al. 2009, ApJ, 702, 1058 [NASA ADS] [CrossRef] [Google Scholar]
Online Material
![]() |
Figure 5: [Si/Fe], [Ca/Fe], and [Ti/Fe] as a function of [Fe/H]. The same symbols as in Fig. 1 are used. |
Open with DEXTER |
![]() |
Figure 6: [Na/Fe], [Cr/Fe], and [Ni/Fe] as a function of [Fe/H]. The same symbols as in Fig. 1 are used. |
Open with DEXTER |
![]() |
Figure 7:
UVES spectra of two stars with nearly the same atmospheric parameters
|
Open with DEXTER |
![]() |
Figure 8:
|
Open with DEXTER |
Table 1: UVES spectra acquired from the ESO/ST-ECF Science Archive.
Table 2: Stars observed with the NOT/FIES spectrograph.
Table 3: Atmospheric parameters, abundance ratios, and space velocities for stars with VLT/UVES spectra.
Table 4: Atmospheric parameters, abundance ratios, and space velocities for stars with NOT/FIES spectra.
Footnotes
- ... neighborhood
- Based on observations made with the Nordic Optical Telescope on La Palma, and on data from the European Southern Observatory ESO/ST-ECF Science Archive Facility.
- ...
- Tables 3 and 4 are also available in electronic form at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsweb.u-strasbg.fr/cgi-bin/qcat?J/A+A/511/L10
- ...
- Figures 5-8 and Tables 1-4 are only available in electronic form at http://www.aanda.org
All Tables
Table 1: UVES spectra acquired from the ESO/ST-ECF Science Archive.
Table 2: Stars observed with the NOT/FIES spectrograph.
Table 3: Atmospheric parameters, abundance ratios, and space velocities for stars with VLT/UVES spectra.
Table 4: Atmospheric parameters, abundance ratios, and space velocities for stars with NOT/FIES spectra.
All Figures
![]() |
Figure 1:
[Mg/Fe] and [ |
Open with DEXTER | |
In the text |
![]() |
Figure 2: [Ni/Fe] versus [Na/Fe] with the same symbols as in Fig. 1. The linear fit does not include the two Na-rich stars. |
Open with DEXTER | |
In the text |
![]() |
Figure 3:
Toomre diagram for stars with
|
Open with DEXTER | |
In the text |
![]() |
Figure 4:
[Na/Fe] versus
|
Open with DEXTER | |
In the text |
![]() |
Figure 5: [Si/Fe], [Ca/Fe], and [Ti/Fe] as a function of [Fe/H]. The same symbols as in Fig. 1 are used. |
Open with DEXTER | |
In the text |
![]() |
Figure 6: [Na/Fe], [Cr/Fe], and [Ni/Fe] as a function of [Fe/H]. The same symbols as in Fig. 1 are used. |
Open with DEXTER | |
In the text |
![]() |
Figure 7:
UVES spectra of two stars with nearly the same atmospheric parameters
|
Open with DEXTER | |
In the text |
![]() |
Figure 8:
|
Open with DEXTER | |
In the text |
Copyright ESO 2010
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.