Issue |
A&A
Volume 658, February 2022
|
|
---|---|---|
Article Number | A14 | |
Number of page(s) | 26 | |
Section | Catalogs and data | |
DOI | https://doi.org/10.1051/0004-6361/202141832 | |
Published online | 25 January 2022 |
OCCASO
IV. Radial velocities and open cluster kinematics⋆
1
INAF-Osservatorio Astronomico di Padova, Vicolo Osservatorio 5, 35122 Padova, Italy
e-mail: jimenez.carrera@inaf.it
2
Laboratoire d’Astrophysique de Bordeaux, Univ. Bordeaux, CNRS, B18N, Allée Geoffroy Saint-Hilaire, 33615 Pessac, France
3
Institut de Ciències del Cosmos, Universitat de Barcelona (IEEC-UB), Martí i Franquès 1, 08028 Barcelona, Spain
4
Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138, USA
5
Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany
6
Centro de Astrobiología (CAB, CSIC-INTA), Depto. de Astrofísica, ESAC Campus, 28692 Villanueva de la Cañada, Madrid, Spain
7
INAF – Osservatorio Astrofisico di Arcetri, Largo E. Fermi 5, 50125 Florence, Italy
8
Space Science Data Center – ASI, Via del Politecnico SNC, 00133 Roma, Italy
Received:
20
July
2021
Accepted:
30
September
2021
Context. Open clusters (OCs) are widely used as test particles to investigate a variety of astrophysical phenomena, from stellar evolution to Galactic evolution. Gaia and the complementary massive spectroscopic surveys are providing an unprecedented wealth of information about these systems.
Aims. The Open Cluster Chemical Abundances from Spanish Observatories (OCCASO) survey aims to complement all this work by determining OCs’ accurate radial velocities and chemical abundances from high-resolution, R ≥ 60 000, spectra.
Methods. Radial velocities were obtained by cross-correlating the observed spectra with a library of synthetic spectra that covers early M to A spectral types.
Results. We provide radial velocities for 336 stars including several Gaia benchmark stars and objects belonging to 51 open clusters. The internal uncertainties of the derived radial velocities go from 10 m s−1 to 21 m s−1 as a function of the instrumental configuration used. The derived radial velocities, together with the Gaia proper motions, were used to investigate the cluster membership of the observed stars. After this careful membership analysis, we obtained average velocities for 47 open clusters. To our knowledge, this is the first radial velocity determination for five of these clusters. Finally, the radial velocities, proper motions, distances and ages were used to investigate the kinematics of the observed clusters and in the integration of their orbits.
Key words: stars: abundances / stars: evolution / open clusters and associations: general
Table E.1 is only available at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsarc.u-strasbg.fr/viz-bin/cat/J/A+A/658/A14
© ESO 2022
1. Introduction
Open clusters (OCs) are groups from several hundreds to tens of thousands of gravitationally bound stars located in the Galactic disc. Unlike more massive and complex globular clusters, all the stars of a given OC seem to share the same properties such as age, kinematics and initial chemical composition (Friel 2013). Open clusters cover a wide range of masses, luminosities, structural characteristics, and ages. These features have motivated their use as probes of a large variety of astrophysical phenomena. They have been key laboratories to help us understand the stellar interiors, nucleosynthesis, and evolution in issues such as convection and radiation transport. Moreover, because of the wide range of ages covered and their good distribution around the disc, they have been fundamental in the study of the Galactic disc evolution, both chemical and dynamical.
The astrometric Gaia mission (Gaia Collaboration 2016) and the complementary ground-based spectroscopic surveys have led to a revolution in our knowledge of the Milky Way and its companion dwarf galaxies including, of course, open clusters. So far, Gaia has sampled more than 1.8 billion stars (Gaia Collaboration 2020). Its unprecedented accurate positions, α and δ, proper motions, μα and μδ, and parallaxes, ϖ, have allowed us to significantly improve the membership determination facilitating the discovery of new systems (e.g. Cantat-Gaudin et al. 2018; Castro-Ginard et al. 2018, 2019, 2020), and also to investigate their extension further away from their tidal radius (e.g. Carrera et al. 2019a). Additionally, Gaia also measures magnitudes from three photometric bands G, GBP, and GRP, providing an unprecedented homogeneous photometric database (Riello et al. 2021).
Moreover, Gaia measures radial velocities (Gaia Collaboration 2018) for bright objects, 4 ≤ G ≤ 13 mag, and in the future it will determine chemical abundances for a handful of elements. This has motivated the development of several ongoing and forthcoming complementary massive ground-based spectroscopic surveys. These surveys are Gaia-ESO Survey GIRAFFE (GES, Gilmore et al. 2012; Randich et al. 2013), Apache Point Observatory Galactic Evolution Experiment (APOGEE, Majewski et al. 2017), GALactic Archaeology with HERMES (GALAH, Buder et al. 2018), and the forthcoming WHT Enhanced Area Velocity Explorer (WEAVE, Dalton et al. 2012), 4-m Multi-Object Spectroscopic Telescope (4MOST, Guiglion et al. 2019), and Multi Object Optical and Near-infrared Spectrograph for the VLT (MOONS, Gonzalez et al. 2020) Galactic surveys. All together, they are going to measure radial velocities and chemical abundances for more than 1 million stars. However, most of them are sampling with an intermediate-resolution, R ∼ 20 000, specific windows in the visible, such as GES-GIRAFFE, GALAH, WEAVE, and 4MOST, or the H band in the infrared, such as APOGEE or MOONS. In addition, GES-UVES is using the UVES (Ultraviolet and Visual Echelle Spectrograph, Dekker et al. 2000) instrument with a spectral resolution of R ∼ 47 000 covering a wavelength range between 480 and 700 nm.
These surveys need a complementary high-resolution, R ≥ 60 000, spectroscopy with a larger wavelength coverage, for instance 400 to 900 nm, allowing the determination of radial velocities and chemical abundances with higher accuracy and precision, which can be used as references for the massive surveys described above. The large wavelength coverage allows us to measure abundances for elements produced through all nucleosynthesis chains. This includes several elements that are not studied by the massive surveys but provide robust constraints to the stellar evolutionary models and to the Galactic disc chemical history.
With the aim of providing this complementary high-resolution spectroscopic for OCs, we are developing the OCCASO (Open Clusters Chemical Abundances from Spanish Observatories) survey (see Casamiquela et al. 2016, for a detailed description, hereafter referred to as Paper I). OCCASO was designed to investigate the Galactic disc chemical evolution (see Casamiquela et al. 2017, 2019, hereafter referred to as Paper II, III, respectively) from the point of view of OCs. For this reason, we mainly sample stars in the same evolutionary stage, the red clump. These stars are among the brightest objects in these clusters, they can be easily identified even in the sparsely populated colour-magnitude diagrams, and their spectra are relatively less line crowded and therefore easier to analyse. The abundances determined from OCCASO spectra has allowed the robust detection of a genuine α-enhancement in the young OC NGC 6705 with still not clear origin (Casamiquela et al. 2018). The present paper is the fourth of the series directly based on OCCASO spectra, in which we present radial velocity determinations for all the stars observed until now.
This paper is organised as follows. The observational strategy and target selection is revised in Sect. 2. The data reduction is presented in Sect. 3. Section 4 shows the radial velocity determination together with internal and external comparisons. The average clusters’ radial velocities are derived in Sect. 5. The kinematic properties of studied OCs are discussed in Sect. 6, and their orbits are stated in Sect. 6.3. Finally, the main conclusions are presented in Sect. 7.
2. Observational strategy and target selection
The Open Cluster Chemical Abundances from Spanish Observatories survey (OCCASO) is using three of the high-resolution spectroscopic facilities available at the Spanish observatories (see Table 1). These instrumental configurations allow us to obtain high-resolution (R ≥ 60 000) and large wavelength coverage spectra, from optical (400 nm) to near-infrared (900 nm). The obtained spectra have a signal-to-noise ratio (S/N) above 50 pix−1 but typically above 70 pix−1. For this purpose, we took three exposures per star with a minimum S/N of around 30 pix−1. FIES (FIbre-fed Echelle Spectrograph, Telting et al. 2014) installed at the 2.5 m NOT (Nordic Optical Telescope, La Palma, Spain), which was upgraded in 2017 with a new fibre bundle and CCD detector to increase the wavelength coverage of the output spectra. For this reason, we considered the spectra acquired before and after the upgrade as spectra from two different instruments denoted as NOT1, before the upgrade, and NOT2, after the upgrade. Something similar happened with the CAFE (Calar Alto Fiber-fed Echelle spectrograph, Aceituno et al. 2013) at the 2.2 m CAHA (Centro Astronómico Hispano-Alemán, Almería, Spain) telescope, which was upgraded in 2018. In this case, the degradation of the instrument’s performance before the upgrade prevented us from using the spectra observed until that moment1. The third instrument used is HERMES (High-Efficiency and high-Resolution Mercator Echelle Spectrograph, Raskin et al. 2011), which is installed at the 1.2 m Mercator Telescope (La Palma, Spain).
Summary of instrumental configurations used for the OCCASO project.
More than 130 observing nights have been performed in the framework of the OCCASO survey, and the observations will continue in the future. The initial target selection criteria are explained in detail in Paper I. Briefly, Northern Hemisphere OCs older than 0.3 Ga were selected while trying to homogeneously sample the ranges of ages, metallicities, distances above and below the plane, and galactocentric distances. Moreover, these systems must have six or more stars in the expected position of the red clump in order to have reasonable statistics for each cluster. Owing to the limitations of the telescopes and instruments used in OCCASO, our sample is constrained to clusters for which the red clump position is brighter than V ∼ 15 mag. When OCCASO started in 2013, we used all the information available in the literature, such as colour-magnitude diagrams, radial velocities, or proper motions, in order to select the most likely members for each cluster. This initial strategy was revised once the Gaia second data release (DR2, Gaia Collaboration 2018) was made available, which has contributed to significantly improving the membership determination. First, we based our membership selection on the membership probabilities determined from Gaia DR2 proper motions and parallaxes by Cantat-Gaudin et al. (2018). Moreover, we included new systems discovered from Gaia DR2 with at least four stars at the expected position of the red clump: COIN-Gaia 11 (Cantat-Gaudin et al. 2019); UBC 3 and UBC 6 (Castro-Ginard et al. 2018); UBC 44 and UBC 59 (Castro-Ginard et al. 2019); and UBC 106 and UBC 215 (Castro-Ginard et al. 2020). In some cases where the red clump is so sparse, we also observed a few stars in the main sequence in order to better constrain the cluster average radial velocity. Additionally to the cluster targets, we also observed several of the Gaia FGK benchmark stars (GBS, Heiter et al. 2015; Jofré et al. 2014; Blanco-Cuaresma et al. 2014) in order to check our analysis methodology. Finally, we performed observations of several stars with the different instrumental configurations in order to provide internal comparison.
In summary, at the time of writing OCCASO has sampled 312 stars in a total of 51 clusters. The sampled clusters are listed in Table 2. The mean proper motions and parallaxes were obtained from the individual Gaia early third data release (EDR3, Gaia Collaboration 2020) values, but using the cluster membership probabilities determined by Cantat-Gaudin et al. (2020) based on Gaia DR2. The observed stars are listed in Table E.1, and their positions in the colour-magnitude diagram of each cluster are shown in Fig. 1.
![]() |
Fig. 1. Gaia DR2 colour-magnitude diagrams of the observed clusters using member stars from Cantat-Gaudin et al. (2020, black points). Blue, purple, and cyan points are the OCCASO spectroscopic targets considered as members, non-members, doubtful members, respectively (see text for details). Red points are spectroscopic binaries. We note that the clusters are sorted by distance from the Sun to improve understanding of the figure. |
Properties of the observed clusters.
3. Data reduction
The data reduction strategy presented in Papers I and II has been fully revisited in order to make it completely automatic and to implement the radial velocity determination by cross-correlation. As explained in Paper I, the bias subtraction, flat-field correction, order tracing and extraction, and wavelength calibration is performed by dedicated pipelines specifically developed for each instrument: HERMESDRS for HERMES (Raskin et al. 2011); FIEStool for FIES (Telting et al. 2014); and CAFExtractor for CAFE (Lillo-Box et al. 2020).
These pipelines also provide final spectra with all the orders merged. These 1D spectra were used in Paper I. Some wiggles were detected in these spectra, particularly in the overlapping regions between orders. These features do not affect the radial velocity determination, but they have a strong impact on the abundance analysis because the continuum shape is distorted, and it is difficult to correct a posteriori with the normalisation algorithm (see Paper II for details). For this reason, we now begin our data reduction procedure from the extracted and wavelength calibrated spectra, which are still separated by orders. From here, our analysis is performed by three modules. We describe the first two in Appendix A, and the third one, which is devoted to determining radial velocities, is detailed in Sect 4. The entire code was written in Interactive Data Language (IDL) software (Exelis Visual Information Solutions, Boulder, Colorado).
4. Radial velocity determination
The radial velocities from the 1D averaged and order merged spectra were obtained by measuring the Doppler velocity shifts of the spectral lines using the classical cross-correlation method (e.g. Tonry & Davis 1979). To do that, the observed spectrum is cross-correlated against a template spectrum. The templates were obtained from three coarse grids, hnsc1, hnsc2, and hnsc3 described by Allende Prieto et al. (2018). Globally, we covered from early M (Teff = 3500 K), to A (Teff = 12 000 K) spectral types, although most of our targets are GK-type. All these grids have three dimensions: metallicity, [M/H]; effective temperature, Teff; and surface gravity, log g. We refer the reader to Allende Prieto et al. (2018) for details about the ranges of the parameters covered by each grid. These grids have a resolution of 100 000, although they were originally computed with an infinity resolution and 0.45 km s−1 sampling equivalent to a resolution of 300 000. These grids were smoothed to match the nominal resolution of each instrument listed in Table 1.
The procedure followed to determine the radial velocity of each target is the following. (i) We performed an initial cross-correlation with a reference synthetic spectrum to obtain an initial shift for every star. In our case, we used a spectrum with [M/H] = 0.0 dex, Teff = 4500 K, and log g = 2.0 dex. (ii) After applying this initial shift, each averaged and order-merged spectrum is compared with all the grids in order to identify the model parameters that best reproduce it. This step is performed with FERRE2 (Allende Prieto et al. 2006). FERRE selects the synthetic spectrum that better matches each target from an χ2 minimisation. (iii) The best-fitting synthetic spectrum is cross-correlated again with the observed spectrum in order to refine the shift between the two. Steps (ii) and (iii) are repeated twice in order to refine the radial velocity determination. The derived radial velocities for each observed star and instrumental configuration are listed in Table E.1. This table includes a few objects with fewer than three individual exposures, which was one of our initial requirements. In most of the cases, this simply implies that the observations of these objects were not concluded. We provide radial velocities because in most of the cases these are the first radial velocity determination from high-resolution spectra for these objects, although they are not used in our analysis.
4.1. Radial velocity uncertainties
Traditionally, the uncertainties of the radial velocities have been determined from the height of the cross-correlation peak (see Tonry & Davis 1979 for details), here named as verr. This depends mainly on how well the template reproduces the averaged and order-merged spectra. The top panel of Fig. 2 shows the run of verr as a function of S/N for each telescope. There is no clear correlation with S/N, but it seems to be a dependence with the instrumental configuration. The lowest verr values are obtained for NOT1, which has the lowest wavelength range coverage: 500−750 nm. MERC and NOT2, which cover almost the same wavelength range, display a similar behaviour. CAH2, with a similar wavelength range to the previous two, has slightly larger verr. There is a group of objects observed with MERC that have large verr values. This group is composed of early A-type stars in our sample, which typically have larger rotational velocities than the bulk of our sample formed by GK-type stars.
![]() |
Fig. 2. Variation of verr (top) and vscatter (bottom) as a function of S/N for the different telescopes and instruments used in our analysis. Closed and open symbols are single and spectroscopic binaries, respectively. |
The verr tends to underestimate the real uncertainties involved in the radial velocity determination. Owing to the observational strategy of OCCASO (see Sect. 2), at least three individual exposures are acquired for each object. Therefore, the radial velocity uncertainty can be determined in a more realistic way through the radial velocity scatter of the individual measurements for each star: vscatter. To derive vscatter, each order of each individual exposure is cross-correlated with the averaged one for every star. The shift between each individual exposure and the averaged one is obtained as the median of the shift found for each order. For a given exposure, the shift found for each order does not show a significant dispersion. The bottom panel of Fig. 2 shows the run of vscatter as a function of S/N for each telescope. Unlike verr, vscatter does show a clear correlation with S/N and no relation to the instrumental configuration. Although our observations are not designed to detect spectroscopic binaries (because typically all the exposures of a given star are acquired one after the other), a few well-known spectroscopic binaries (open symbols) tend to have larger vscatter values than single stars. Therefore, large vscatter may be related to binarity. The group of stars with vscatter ∼ 1 km s−1 observed with NOT1 (red symbols) are related to problems in one of our runs: Apr13. This problem was already reported in Paper I and is due to a poor wavelength calibration, which may be related to the use of inappropriate calibration images when running the pipeline. This run could not be reduced with the FIEStool at the telescope, and it was run a posteriori using a version built to be used outside the NOT facilities. We tried to mitigate this by improving the wavelength calibration of this run. As a consequence, the initial offset of ∼5 km s−1 reported in Paper I was reduced to ∼1 km s−1.
Figure 3 shows the distributions of the vscatter for each instrumental configuration. The distributions peak at 21.2 m s−1 for CAH2, 10.0 m s−1 for MERC, 10.3 m s−1 for NOT1, and 15.4 m s−1 for NOT2, respectively. This implies a significant improvement, of about a factor 50, in the radial velocity uncertainty determination with respect to Papers I and II.
![]() |
Fig. 3. Histograms of radial velocity scatter distribution for stars with three or more visits for the different telescopes and instruments used. The distributions peak at 21.2 m s−1 for CAH2 (purple), 10.0 m s−1 for MERC (blue), 10.3 m s−1 for NOT1 (red), and 15.4 m s−1 for NOT2 (green), respectively. |
4.2. Internal comparison
4.2.1. Comparison between telescopes
Several stars have been observed with the different instrumental configurations to evaluate the internal systematic errors. The comparison between the values obtained in different instrumental configurations are shown in Fig. 4, and their statistics are summarised in Table 3. In general, there is good agreement, within the uncertainties, between the radial velocities derived from spectra acquired with MERC, NOT1, and NOT2 (in spite of the small number of stars observed in common between NOT2 and MERC, which was 6, and NOT1, which was 5). For this reason, we consider that the radial velocities derived from the three instrumental configurations are on the same scale.
![]() |
Fig. 4. Differences in vrad obtained for stars in common between MERC and NOT1 (top panel), MERC and CAH2 (top central panel), NOT1 and CAH2 (bottom central panel), NOT2 and MERC (blue), and CAH2 (red), respectively (bottom panel). The error bars are the sum of the square of the uncertainties. In most of the cases, error bars are smaller than symbol sizes. |
Differences of radial velocities measured with different instrumental configurations.
In the case of CAH2, the derived radial velocities show significant differences when they are compared with the values obtained from the other instrumental configurations. We have no explanation for these differences. Lillo-Box et al. (2020) reported a dependence of the derived radial velocity with the S/N of the individual exposures. We tried to take into account this effect using the relation provided by Lillo-Box et al. (2020), but this does not significantly reduce the differences. There is no clear systematic between the radial velocities derived from CAH2 and from the other telescopes, as is shown in Fig. 4, so we did not try to put all of them on the same scale. Therefore, we used the CAH2 radial velocities in our analysis with care.
4.2.2. Comparison with previous OCCASO radial velocities
Radial velocities in Papers I and II were derived using DAOSPEC (Stetson & Pancino 2008), which was designed to determine equivalent widths of spectral lines. DAOSPEC also provides a rough determination of the radial velocity by cross-matching the line centres with their reference rest wavelengths (see Paper I for details). Moreover, the final averaged and order-merged spectra used in those publications were obtained for a slightly different procedure (see Sect. 3). In spite of the larger uncertainties involved in the radial velocities derived in Papers I and II, there is a very good agreement between both determinations for the 147 stars in common, as shown in Fig. 5 with a median of the differences of −0.05 km s−1, a standard deviation of 0.09 km s−1, and a median absolute deviation of 0.05 km s−1.
![]() |
Fig. 5. Distribution of differences between vrad derived here and in Papers I and II. |
There is only one star with a significant difference between both radial velocities determinations, the star Gaia EDR3 2194819856960726912. This star was flagged in Paper II as a non-member of NGC 6939 since its radial velocity, vrad = −29 ± 2 km s−1, was significantly different from the values derived for other stars in this cluster. However, the value obtained here from cross-correlation is vrad = −18.09 ± 0.06 km s−1, in good agreement with the other NGC 6939 member stars. As we used the same observations but a different reduction procedure, the observed discrepancy are due to problems in the previous reduction pipeline that were not detected. Moreover, the observed spectrum has a relatively low S/N of 39.2 pix−1 in comparison with the other stars observed in this cluster. The cross-correlation is less sensitive to low S/N spectra than the cross-match of line centres performed by DAOSPEC.
4.3. Comparison with external catalogues
In Paper I, we performed a comparison with different literature sources. In most of the cases, these sources were focused on a single cluster. The differences changed significantly depending on the literature source. We refer the reader to Paper I for details. In recent years, thanks to the Gaia mission and the ground-based spectroscopic surveys, there are a wealth of large samples with radial velocities determined homogeneously. These samples include OC stars in common with OCCASO. In this section, we perform a comparison with all these surveys. We also include the radial velocities determined in the framework of the WIYN Open Cluster Study (WOCS, e.g. Geller et al. 2015) in this comparison, which has systematically sampled radial velocities for stars in several OCs in common with OCCASO. We also compare our radial velocities with the studies of Nordström et al. (2004) and Soubiran et al. (2018a). The first one is the Geneva-Copenhagen survey, which has measured radial velocities for about 13 500 FG-type stars in the solar neighbourhood. The former is the catalogue of radial velocity standard stars used to establish the radial velocity zero point in Gaia DR2. In all these comparisons, we excluded the radial velocities determined for CAH2, which, as discussed above, are more uncertain. Moreover, we only used stars with three or more individual exposures in our sample, and we excluded the previously known spectroscopic binaries. The differences of radial velocities compared with others surveys is given in Table 4 and also shown in Fig. 6. A detailed discussion about the comparison with each sample can be found in Appendix B. There is a good agreement between the OCCASO and Gaia DR2 radial velocities in spite of the larger uncertainties involved in the Gaia measurements. For APOGEE DR16, WOCS, Gaia RVS standards (Soubiran et al. 2018a), and Mermilliod et al. (2008), there is small systematics between each of these samples and OCCASO, but it is smaller than the involved uncertainties. For the remaining samples, the agreement is not particularly significant. What is noticeable is the bimodal distribution found in the case of GES DR4 without a clear explanation (panel h of Fig. 6). The distribution of the differences with LAMOST DR5, RAVE DR6, and to a lesser degree for GALAH DR3, are unusual without a clear peak (panels e, i, and g of Fig. 6, respectively). The average radial velocity uncertainties involved in each sample range from ∼5 km s−1 in the case of LAMOST to ∼0.1 km s−1 for GALAH. They could explain the differences found in the case of LAMOST, but certainly not in the case of GALAH. Unfortunately, the small number of objects in common between OCCASO and these samples (the best case is the 32 stars in common with LAMOST) prevents us from drawing further conclusions.
![]() |
Fig. 6. Comparison of the OCCASO radial velocities with different samples available in the literature. |
Differences between the OCCASO and other surveys radial velocities, where N is the number of objects in common.
5. Open clusters’ average radial velocities: Membership
In order to determine the average radial velocity for each cluster, we followed the same procedure described by Soubiran et al. (2018b). The average radial velocity is obtained using the following:
where vrad, i is the individual radial velocity for each star in the cluster and the weight wi is defined as wi = 1/(vscatter, i)2.
In the same way, the internal velocity dispersion is derived as follows:
Finally, the uncertainty in the average radial velocity, evrad, OC is obtained as the maximum of the standard error and
(Jasniewicz & Mayor 1988), where N is the number of star members and I is the internal error of vrad, OC defined as follows:
In order to discard stars with discrepant radial velocities, with respect to vrad, OC, we applied an iterative κ − σ clipping algorithm removing objects with velocities outside the vrad, OC ± 3 × σvrad, OC range. In this analysis, we also discarded objects previously reported as spectroscopic binaries or with large vscatter values, which may be a sign of binarity. For stars observed with more than one telescope, excluding CAH2, we used the weighted mean and standard deviation obtained using Eqs. (1) and (2), respectively. The objects observed with CAH2 were excluded from the analysis except for clusters where the stars have only been observed with this instrument: NGC 2126, NGC 6755, and UBC 106.
Figures 7 and C.1 show the determination of the average radial velocities for each cluster. The obtained values are listed in Table 5. Notes about each particular cluster and star can be found in Appendix C. For four of the clusters, ASCC 108, COIN-Gaia 11, NGC 6603, and UPK 55, we were not able to constrain their average radial velocities in spite of having two or more stars observed in each of them but with significantly different radial velocities (see Appendix C for details and Fig. C.2). A single star was sampled in two clusters: Alessi 1 and Melotte 72. Therefore, we provide radial velocities for a total of 47 clusters. To our knowledge, this is the first3 radial velocity determination from high-resolution spectroscopy, R ≥ 20 000 for 20 clusters: Alessi 1, FSR 0278, FSR 0850, Melotte 72, NGC 559, NGC 609, NGC 2126, NGC 2266, NGC 6645, NGC 6728, NGC 6939, NGC 6997, NGC 7245, Ruprecht 171, Skiff J1942+38.6, UBC 3, UBC 6, UBC 44, UBC 59, and UBC 215. In fact, for the last five, this is the first ever radial velocity determination. For the remaining clusters, the derived radial velocities are in agreement with the average radial velocities for these clusters available in the literature.
![]() |
Fig. 7. Determination of average radial velocity for each cluster. Filled symbols mark those stars used to determine the average value, while open symbols are the excluded objects. Black circles represent those stars observed with MERC, NOT1, and NOT2, while green diamonds are the stars observed with CAH2. Red pentagons are the known spectroscopic binaries. Arrows denote objects outside the panels. Dot-dashed lines correspond to the average radial velocity for each cluster. Dotted lines show the 3 × σvrad level. We note that in most of the cases, error bars are smaller than the symbol size. All source identifications are from Gaia EDR3. |
Average radial velocities derived here for the OCs in our sample, together with other radial velocity determinations available in the literature.
We compared the average radial velocities obtained for each cluster with the values available in the literature. Several catalogues based on homogeneous measurements have been released in the last years. These are the works performed by Conrad et al. (2014), Soubiran et al. (2018b), and Donor et al. (2020) based on the RAVE, Gaia DR2, and APOGEE DR16 radial velocities, respectively. In the case of APOGEE, we added two clusters, King 1 and NGC 1817, from Carrera et al. (2019b) that are not included in the Donor et al. (2020) sample, although these determinations are based on a single object in each case. We also compared our results with the values recently published by Tarricq et al. (2021), who compiled radial velocities from nearly 25 000 OC members. This sample includes some OCCASO data presented in this paper, although without the detailed membership selection discussed in Appendix C. Finally, we achieved a compilation of other values available in the literature. To do that, we used the Kharchenko et al. (2013) compilation as a starting point. We updated this compilation with the values obtained in the framework of WOCS: NGC 188, NGC 2682, NGC 6791, NGC 6819, and NGC 7789. We did the same with the three clusters of which average radial velocities were obtained by Jackson et al. (2020) from GES data: NGC 2420, NGC 6633, and NGC 6705. Recently, Spina et al. (2021) compiled an OC sample based on APOGEE and GALAH surveys. However, they did not publish average radial velocities for the studied clusters.
Figure 8 shows the comparison of the average radial velocities of the OCCASO clusters with the samples available in the literature described above. In general, there is a good agreement within the uncertainties, as listed in Table 6. The average median differences are in the range of ±0.2 km s−1 and, therefore, within the expected uncertainties with median absolute deviation between ∼0.3 and ∼0.5 km s−1. The largest values are found in the comparison with Conrad et al. (2014), but that can be explained by the large uncertainties of RAVE radial velocities obtained with a lower spectral resolution.
![]() |
Fig. 8. Comparison of average cluster radial velocities with different values available in the literature for each cluster. Arrows denote that the value is outside the panel range. Dashed and dotted lines show the median and the MAD of the differences as listed in Table 6, respectively. |
Statistics concerning the differences between OCCASO and others.
For some surveys, the average differences found here differ from the values found in the star-by-star comparison performed in the previous section, although they are within the sampling errors. The largest differences can be explained by the different membership selection performed in each case, and, therefore, the average value is obtained from different stars and/or a different number of stars.
The Praesepe cluster, NGC 2632, is the one that shows discrepancies with all the values available in the literature. We observed seven stars in this system and five of them were reported as spectroscopic binaries in the literature, as discussed in Appendix C. As a consequence, the average value for the cluster is based only on two stars. At least one of them, Gaia EDR3 661311443306610688, has a large verr value, which could be a sign of rotation.
NGC 2266 has discrepant values in comparison with those of Tarricq et al. (2021) and Soubiran et al. (2018b). The Tarricq et al. (2021) and Soubiran et al. (2018b) radial velocity of NGC 2266 was obtained from only one star. This star is the same one used in both cases. Our radial velocity determination for this cluster is based on five stars whose radial velocities show a good agreement within the uncertainties (see Fig. 7).
Two clusters, FSR 278 and UBC 106, show significant differences with the values reported by Tarricq et al. (2021). Although the six stars studied in FSR 278 show a significant radial velocity dispersion, this does not explain the ∼3.6 km s−1 difference with Tarricq et al. (2021) based on seven stars. The other radial velocity available in the literature for this cluster comes from Soubiran et al. (2018b) via Gaia DR2 and is based on five stars. It shows a good agreement, well within the uncertainties, with the value obtained here. Our UBC 106 radial velocity is based on only two stars observed with CAH2, which, as already mentioned, implies larger uncertainties. On the contrary, the Tarricq et al. (2021) determination is based on nine stars.
For NGC 6991, we found discrepant values with RAVE and the literature radial velocities, but not with the Gaia DR2 one. Because our value is in very good agreement with Gaia DR2, which is based on 78 stars, we consider that our determination is reliable.
Finally, Alessi 1 and NGC 7789 RAVE radial velocities differ significantly from ours and other measurements for these clusters. In the case of Alessi 1, we sampled only one star, and its radial velocity is in good agreement with other determinations available in the literature. NGC 7789 is a well-studied cluster, so the RAVE determination for this cluster is suspicious.
6. Open clusters’ kinematics
In order to investigate the kinematics of the observed clusters, we studied the line-of-sight velocity of the OCs within the context of the Galactic disc and also coupled with the proper motions, distances, and ages listed in Table 2. As explained above, we computed average proper motions from Gaia EDR3, but we used the membership probabilities compiled by Cantat-Gaudin et al. (2020). Distances and ages are also taken from the same authors (Cantat-Gaudin et al. 2020) from Gaia DR2 through a machine-learning method using both photometry and parallaxes. For the farthest clusters, the addition of photometry allows a better estimation of the distances.
6.1. Radial velocities with respect to the GSR and RSR
We computed the line-of-sight velocity with respect to the galactocentric standard of rest (GSR) and with respect to the regional standard of rest (RSR), as was done in Paper I using the following:
where vrad, OC is the average OC heliocentric radial velocity derived in the previous section, (U⊙, V⊙, W⊙) are the components of the motion of the Sun with respect to the Local Standard of Rest (LSR), and Θ0 and ΘR are the circular velocities at the galactocentric distances of the Sun R0 and the cluster R, respectively. For the Sun, we adopted (U⊙, V⊙, W⊙) = (11.1, 12.24, 7.25) km s−1 from Schönrich et al. (2010) and R0 = 8.34 kpc from Reid et al. (2014). For the circular velocity around the Galactic centre, Θ0 is adopted as 240 km s−1 from Reid et al. (2014), and ΘR is computed according to the Galactic potential described in Sect. 6.3.
The results are listed in Table 7. The uncertainties were estimated with 100 000 realisations taking into account the errors in radial velocities and distances of the clusters. All clusters show vRSR values typical of the thin-disc kinematics, with a median value of −1.3 ± 13.5 km s−1. Berkeley 17, the oldest and farthest OC in our sample, is the only cluster showing a large vRSR value of −78.5 ± 0.4 km s−1.
Line-of-sight velocity vGSR with respect to the galactocentric standard of rest and vRSR with respect to the regional standard of rest.
6.2. Spatial velocity with respect to GSR and RSR
Our radial velocities were combined with the mean proper motions of the clusters using Gaia EDR3 to derive full spatial velocities with respect to the GSR (VR, Vϕ, Vz) and RSR (Us, Vs, Ws) being Us = −VR, Vs = Vϕ − ΘR and Ws = Vz. These values are also included in Table 7. Uncertainties have decreased significantly with respect to Paper I because of the huge improvement of proper motions compared to the pre-Gaia era. Median and MAD values of (Us, Vs, Ws) are (2.9 ± 16.7, −2.6 ± 8.3, −0.9 ± 6.1) km s−1. The clusters with the largest vRSR values are Berkeley 17, NGC 6791, and Ruprecht 171, but these are still in the −63 to +75 km s−1 range. Figure 9 shows the projection on the Galactic plane of the position and velocity with respect to the RSR of the clusters in our sample.
![]() |
Fig. 9. Projection on Galactic plane of the position and velocity with respect to the regional standard of rest of the clusters in our sample. |
In Paper I, we pointed out the similarity of ages and non-circular velocities of IC 4756 and NGC 6633 both in the Local Arm and close together. This similarity in velocity is confirmed with the new proper motions of Gaia and our new radial velocities. In the pre-Gaia era, the log-age determination of both clusters was in the 8.6 − 8.7 dex range. However, according to Cantat-Gaudin et al. (2020), IC 4756 and NGC 6633 have log ages of 9.1 and 8.8 dex, respectively. Dias et al. (2021) also gives log ages of IC 4756 and NGC 6633 of 9.0 and 8.8 dex, respectively. Both papers indicate a 0.2 − 0.3 dex difference in log age between both clusters. The study of their birthplace (see Sect. 6.3) does not indicate a common origin. Most likely, a common origin can be discarded due to the age difference.
6.3. Open clusters’ orbits
To complete our analysis, we integrated the orbits of the OCs in our sample. Due to the uncertainty in the determination of the real Galactic potential, we considered three different Galactic models proposed in the literature. The first one, proposed by Bovy (2015) and named MW2014, is an axisymmetric potential composed of a spherical bulge, a Miyamoto-Nagai disc, and a halo with a Navarro-Frenk-White profile (NFW, Navarro et al. 1997). The second and third models are based on the previous one, but they also include two non-axisymmetric components. For the second model, we added a bar characterised as a Ferrers potential (Ferrers 1877) with n = 2. The semi-major, middle, and minor axes are fixed to 3 kpc, 0.35 kpc, and 0.2375 kpc, respectively. The bar mass is 1010 M⊙ (Romero-Gómez et al. 2015), and a constant pattern speed was fixed to Ω = 42 km s−1 kpc−1 (Bovy et al. 2019), which puts co-rotation at R = 5.6 kpc and the outer Lindblad resonance at R = 9. kpc. The angular orientation of the bar with respect to the Sun-Galactic centre line is 20° (Romero-Gómez et al. 2011, and references therein). The third model adds a sinusoidal spiral arms potential from Cox & Gómez (2002). We modelled two spiral arms with an amplitude of 0.4 and a pattern speed of Ω = 21 km s−1 kpc−1 (e.g. Antoja et al. 2011), which puts the co-rotation at R = 10.6 kpc.
Using the python galpy package (Bovy 2015), we integrated the orbit backwards in time during the age of the cluster with a step of 2 Ma. The components of the motion of the Sun with respect to the LSR, the galactocentric distance of the Sun, the circular velocity at this distance, and the distances and ages of the OCs are the ones described in Sect. 6.1. It is important to bear in mind that for the older clusters (therefore larger integrated times), the derived orbits are more uncertain because of the temporal evolution of the potential and the lack of knowledge about the interactions of the clusters with the disc structures such as molecular clouds or spiral arms along the time.
We also verified that using the distances and ages provided by Dias et al. (2021) does not significantly change our results. In order to calculate the uncertainties of the parameters, we carried out a Monte Carlo sampling of the radial velocities, proper motions, distances, and their uncertainties, which we assume as Gaussian. We took 100 realisations of values from the Monte Carlo sampling and integrated the orbits, considering the standard deviation of the calculated parameters as uncertainties. As an example, the orbits derived using the three potentials in different planes for two of the clusters in our sample is shown in Fig. 10.
![]() |
Fig. 10. Example of orbits for IC 4756 with an age of 1.29 Ga (left) and Berkeley 17 with 7.24 Ga (right). |
In Fig. 11, we study the effect of the bar and spiral models on the eccentricity, e (top left), and the maximum height with respect to the Galactic plane, zmax (top right). Regarding zmax, it barely varies among the three potentials, the median being zmax 0.22 kpc for all Galactic models, except in the case of Berkeley 17, where the addition of spiral arms causes the orbit to increase its vertical excursion up to 3.23 kpc (see bottom right panel of Fig. 10).
![]() |
Fig. 11. Comparison of results obtained by integrating the orbits with the MW2014 potential and adding the arms (in orange) and bar (in blue) potentials for the eccentricity (top left), the maximum height with respect to the Galactic plane (top right), and the birth radius (bottom left). Comparison between the current galactocentric radius and the calculated birth radius for MW2014 adding the bar and the spiral potential together (bottom right). |
The addition of either a bar or spiral arms yields an increase in eccentricity in most cases. The median value of the eccentricity calculated with the MW2014 potential is 0.08, while when adding the bar the median becomes 0.11, and with the spiral arms the median increases to 0.14, which means an increase of 37.5% and 75%, respectively.
The birth radius is also modified as a function of the potential used (see Fig. 11, bottom left). The birth radius of clusters with ages greater than 1 Ga is more uncertain, and those older clusters also give the greater differences depending on the choice of potential. The exception is the NGC 609 cluster at 220 Ma old. In the bottom right panel of Fig. 11, we represent the birth radius with respect to its current position. The potential used in this case is the sum of the axisymmetric MW2014, bar, and spiral potentials. About 70% of the OCs of our sample were formed in the innermost regions and migrated outward. We find that the outward-migrated systems are the ones with current RGC below 11 kpc. The clusters UBC 59 and NGC 6791 stand out with a migration of 3.05 and 1.67 kpc, respectively. The outer clusters NGC 609, NGC 559, and UBC 44 show the opposite trend. They appear to have been born in outer regions of the galaxy compared to their current radii.
Figure 12 shows the run of zmax (top) and eccentricity (bottom) as a function of age for the studied clusters. The orbits were computed with the potential MW2014, adding bar and spiral components. Similar results are obtained using only the potential MW2014 and including the spiral and bar potential separately (see Appendix D). Regardless of the chosen potential, there is a clear dependency of zmax with age, as was also reported by Tarricq et al. (2021). This may be explained by the survival bias of OCs and the dynamical heating of the thin disc. Open clusters are destroyed due to the interaction with the spiral arms, the bar, and the giant molecular clouds that the disc contains (Spitzer & Schwarzschild 1951; Jenkins & Binney 1990). Therefore, the clusters that have larger zmax values spend more time away from the destructive influence of the disc. Hence, surviving old clusters may be the ones with the highest zmax. On the other hand, the dynamical heating of the disc implies an increase of zmax with time. It is worth mentioning the case of King 1, a 3.9 Ga old cluster whose orbit is very close to the Galactic plane, with a zmax of 80 pc. A possible explanation for the survival of this cluster is that it was much more massive at birth. Our sample does not contain other examples of OCs older than 2 Ga with low zmax, but larger samples point towards the existence of other systems with these features (e.g. Tarricq et al. 2021).
![]() |
Fig. 12. Run of zmax (top) and eccentricity (bottom) as a function of age for the OCs in our sample using MW2014 and adding bar and spiral components. |
Regarding the eccentricity, we see that the dispersion of the eccentricity increases as a function of age, which is in line with the results obtained by Tarricq et al. (2021). This is due to the previously mentioned effects; the older clusters are more likely to have interacted with non-axisymmetric components of the Galactic potential and giant molecular clouds, increasing the eccentricity of their orbits.
7. Summary
The OCCASO survey aims to complement the massive Galactic spectroscopic surveys by obtaining high-resolution spectra of open clusters. OCCASO has so far completed more than 130 observing nights, from which spectra for a total of 336 stars have been acquired: 312 objects belonging to 51 clusters and 24 Gaia benchmark stars. In this paper, we revised the observational strategy now mainly based on Gaia data. A new, completely automatic, data-reduction pipeline is presented, yielding a significant improvement in the quality of the output spectra.
Radial velocities were obtained for the sample stars using cross-correlation with a library of synthetic spectra that covers early M to A spectral types. The typical internal uncertainties, determined from the scatter of the individual measurements of each star vscatter, go from 10 m s−1 for MERC and NOT1 to 21.2 m s−1 for CAH2. Radial velocities derived from MERC, NOT1, and NOT2 instrumental configurations are compatible within the uncertainties. Velocities derived by CAH2 show a larger scatter, but this is always below 0.5 km s−1.
The derived radial velocities, together with the Gaia proper motions and parallaxes, were used to investigate the membership of the observed stars and to derive the average radial velocities for a total of 47 clusters. This is the first radial velocity determination from high-resolution spectra for about 20 systems, and the first-ever determination for five of them: UBC 3, UBC 6, UBC 44, UBC 59, and UBC 215. With the information already available, we cannot be sure that we sampled a real cluster member for four systems: ASCC 108, COIN-Gaia 11, NGC 6603, and UPK 55.
The obtained radial velocities, together with average Gaia proper motions, distances, and ages were used to investigate the kinematics of the sampled clusters. They mainly follow the Galactic thin disc kinematics. With the new precision of our results, we can see that the clusters IC 4756 and NGC 6633 indeed have similar non-circular velocities, as pointed out in Paper I, although their ages are not compatible, so their common origin can be discarded.
Finally, we integrated the OCs orbits using three different Galactic potential models. The effect of including the bar and spiral arms is not important regarding the height above the plane, except for the oldest cluster, Berkeley 17, but it does increase the eccentricity in most cases: a median of 37.5% when adding the bar and 75% with the spiral arms. About 70% of the OCs of our sample were formed in the innermost regions and migrated outward, while the three outer clusters (NGC 609, NGC 559, and UBC 44) were born in outer regions compared to their current radii. In all the models, the height above the plane and the dispersion of the eccentricity increases in accordance with age.
Available at https://github.com/callendeprieto
Radial velocities for these clusters were already published by Tarricq et al. (2021), but they used our determinations, as cited in that paper.
This is the angular distance that provides the best cross-match between Gaia DR2, the main coordinates source for our targets, and 2MASS, the APOGEE coordinates source (see Marrese et al. 2019, for details).
Acknowledgments
We acknowledge the anonymous referee for his/her help in making the paper more readable. We also acknowledge C. Allende-Prieto for useful discussions and comments about this work. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. Based on observations made with the Nordic Optical Telescope, owned in collaboration by the University of Turku and Aarhus University, and operated jointly by Aarhus University, the University of Turku and the University of Oslo, representing Denmark, Finland and Norway, the University of Iceland and Stockholm University at the Observatorio del Roque de los Muchachos, La Palma, Spain, of the Instituto de Astrofísica de Canarias. Based on observations made with the Mercator Telescope, operated on the island of La Palma by the Flemish Community, at the Spanish Observatorio del Roque de los Muchachos of the Instituto de Astrofísica de Canarias. Based on observations obtained with the HERMES spectrograph, which is supported by the Research Foundation – Flanders (FWO), Belgium, the Research Council of KU Leuven, Belgium, the Fonds National de la Recherche Scientifique (F.R.S.-FNRS), Belgium, the Royal Observatory of Belgium, the Observatoire de Genève, Switzerland and the Thüringer Landessternwarte Tautenburg, Germany. Based on observations collected at Centro Astronómico Hispano en Andalucía (CAHA) at Calar Alto, operated jointly by Instituto de Astrofísica de Andalucía (CSIC) and Junta de Andalucía. This research has made use of NASA’s Astrophysics Data System Bibliographic Services. This research made use of Astropy (http://www.astropy.org) (Astropy Collaboration 2013, 2018), Matplotlib (Hunter 2007), Sk-learn (Pedregosa et al. 2011) python packages, TopCat (Taylor 2005) and galpy (http://github.com/jobovy/galpy) (Bovy 2015) the IDL software. This work was partially supported by the Spanish Ministry of Science, Innovation and University (MICIU/FEDER, UE) through grant RTI2018-095076-B-C21, and the Institute of Cosmos Sciences University of Barcelona (ICCUB, Unidad de Excelencia ‘María de Maeztu’) through grant CEX2019-000918-M. J.L.-B. acknowledges financial support received from “la Caixa” Foundation (ID 100010434) and from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 847648, with fellowship code LCF/BQ/PI20/11760023. This research has also been partly funded by the Spanish State Research Agency (AEI) Projects No. ESP2017-87676-C5-1-R and No. MDM-2017-0737 Unidad de Excelencia “María de Maeztu”- Centro de Astrobiología (INTA-CSIC).
References
- Aceituno, J., Sánchez, S. F., Grupp, F., et al. 2013, A&A, 552, A31 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ahumada, R., Prieto, C. A., Almeida, A., et al. 2020, ApJS, 249, 3 [Google Scholar]
- Allende Prieto, C., Beers, T. C., Wilhelm, R., et al. 2006, ApJ, 636, 804 [NASA ADS] [CrossRef] [Google Scholar]
- Allende Prieto, C., Koesterke, L., Hubeny, I., et al. 2018, A&A, 618, A25 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Antoja, T., Figueras, F., Romero-Gómez, M., et al. 2011, MNRAS, 418, 1423 [NASA ADS] [CrossRef] [Google Scholar]
- Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
- Baranne, A., Mayor, M., & Poncet, J. L. 1979, Vistas Astron., 23, 279 [CrossRef] [Google Scholar]
- Barden, S. C., Jones, D. J., Barnes, S. I., et al. 2010, in Ground-based and Airborne Instrumentation for Astronomy III, eds. I. S. McLean, S. K. Ramsay, & H. Takami, SPIE Conf. Ser., 7735, 773509 [NASA ADS] [Google Scholar]
- Blanco-Cuaresma, S., Soubiran, C., Jofré, P., & Heiter, U. 2014, A&A, 566, A98 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Blanton, M. R., Bershady, M. A., Abolfathi, B., et al. 2017, AJ, 154, 28 [Google Scholar]
- Bovy, J. 2015, ApJS, 216, 29 [NASA ADS] [CrossRef] [Google Scholar]
- Bovy, J., Leung, H. W., Hunt, J. A. S., et al. 2019, MNRAS, 490, 4740 [Google Scholar]
- Buder, S., Asplund, M., Duong, L., et al. 2018, MNRAS, 478, 4513 [Google Scholar]
- Buder, S., Sharma, S., Kos, J., et al. 2021, MNRAS, 506, 150 [NASA ADS] [CrossRef] [Google Scholar]
- Cantat-Gaudin, T., Jordi, C., Vallenari, A., et al. 2018, A&A, 618, A93 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Cantat-Gaudin, T., Krone-Martins, A., Sedaghat, N., et al. 2019, A&A, 624, A126 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Cantat-Gaudin, T., Anders, F., Castro-Ginard, A., et al. 2020, A&A, 640, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Carrera, R. 2012, ApJ, 758, 110 [NASA ADS] [CrossRef] [Google Scholar]
- Carrera, R., & Martínez-Vázquez, C. E. 2013, A&A, 560, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Carrera, R., Rodríguez Espinosa, L., Casamiquela, L., et al. 2017, MNRAS, 470, 4285 [NASA ADS] [CrossRef] [Google Scholar]
- Carrera, R., Pasquato, M., Vallenari, A., et al. 2019a, A&A, 627, A119 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Carrera, R., Bragaglia, A., Cantat-Gaudin, T., et al. 2019b, A&A, 623, A80 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Casamiquela, L., Carrera, R., Jordi, C., et al. 2016, MNRAS, 458, 3150 (Paper I) [NASA ADS] [CrossRef] [Google Scholar]
- Casamiquela, L., Carrera, R., Blanco-Cuaresma, S., et al. 2017, MNRAS, 470, 4363 (Paper II) [NASA ADS] [CrossRef] [Google Scholar]
- Casamiquela, L., Carrera, R., Balaguer-Núñez, L., et al. 2018, A&A, 610, A66 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Casamiquela, L., Blanco-Cuaresma, S., Carrera, R., et al. 2019, MNRAS, 490, 1821 (Paper III) [NASA ADS] [CrossRef] [Google Scholar]
- Castro-Ginard, A., Jordi, C., Luri, X., et al. 2018, A&A, 618, A59 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Castro-Ginard, A., Jordi, C., Luri, X., Cantat-Gaudin, T., & Balaguer-Núñez, L. 2019, A&A, 627, A35 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Castro-Ginard, A., Jordi, C., Luri, X., et al. 2020, A&A, 635, A45 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Conrad, C., Scholz, R. D., Kharchenko, N. V., et al. 2014, A&A, 562, A54 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Cox, D. P., & Gómez, G. C. 2002, ApJS, 142, 261 [NASA ADS] [CrossRef] [Google Scholar]
- Cropper, M., Katz, D., Sartoretti, P., et al. 2018, A&A, 616, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Dalton, G., Trager, S. C., Abrams, D. C., et al. 2012, in Ground-based and Airborne Instrumentation for Astronomy IV, eds. I. S. McLean, S. K. Ramsay, & H. Takami, SPIE Conf. Ser., 8446, 84460P [NASA ADS] [Google Scholar]
- Dekker, H., D’Odorico, S., Kaufer, A., Delabre, B., & Kotzlowski, H. 2000, in Optical and IR Telescope Instrumentation and Detectors, eds. M. Iye, & A. F. Moorwood, SPIE Conf. Ser., 4008, 534 [Google Scholar]
- Dias, W. S., Monteiro, H., Caetano, T. C., et al. 2014, A&A, 564, A79 [Google Scholar]
- Dias, W. S., Monteiro, H., Moitinho, A., et al. 2021, MNRAS, 504, 356 [NASA ADS] [CrossRef] [Google Scholar]
- Donor, J., Frinchaboy, P. M., Cunha, K., et al. 2020, AJ, 159, 199 [NASA ADS] [CrossRef] [Google Scholar]
- Eisenstein, D. J., Weinberg, D. H., Agol, E., et al. 2011, AJ, 142, 72 [Google Scholar]
- Ferrers, N. 1877, Q. J. Pure Appl. Math., 14, 1 [Google Scholar]
- Friel, E. D. 2013, in Open Clusters and Their Role in the Galaxy, eds. T. D. Oswalt, & G. Gilmore, 5, 347 [Google Scholar]
- Friel, E. D., Jacobson, H. R., Pilachowski, C. A., et al. 2005, AJ, 129, 2725 [CrossRef] [Google Scholar]
- Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [Google Scholar]
- Gaia Collaboration (Brown, A. G. A., et al.) 2018, A&A, 616, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gaia Collaboration (Brown, A. G. A., et al.) 2020, A&A, 649, A1 [Google Scholar]
- Geller, A. M., Mathieu, R. D., Harris, H. C., & McClure, R. D. 2008, AJ, 135, 2264 [Google Scholar]
- Geller, A. M., Latham, D. W., & Mathieu, R. D. 2015, AJ, 150, 97 [Google Scholar]
- Geller, A. M., Mathieu, R. D., Latham, D. W., et al. 2021, AJ, 161, 190 [NASA ADS] [CrossRef] [Google Scholar]
- Gilmore, G., Randich, S., Asplund, M., et al. 2012, The Messenger, 147, 25 [NASA ADS] [Google Scholar]
- Gonzalez, O. A., Mucciarelli, A., Origlia, L., et al. 2020, The Messenger, 180, 18 [NASA ADS] [Google Scholar]
- Guiglion, G., Battistini, C., Bell, C. P. M., et al. 2019, The Messenger, 175, 17 [NASA ADS] [Google Scholar]
- Heiter, U., Jofré, P., Gustafsson, B., et al. 2015, A&A, 582, A49 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [Google Scholar]
- Jackson, R. J., Jeffries, R. D., Wright, N. J., et al. 2020, MNRAS, 496, 4701 [CrossRef] [Google Scholar]
- Jasniewicz, G., & Mayor, M. 1988, A&A, 203, 329 [NASA ADS] [Google Scholar]
- Jenkins, A., & Binney, J. 1990, MNRAS, 245, 305 [NASA ADS] [Google Scholar]
- Jofré, P., Heiter, U., Soubiran, C., et al. 2014, A&A, 564, A133 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Jönsson, H., Holtzman, J. A., Allende Prieto, C., et al. 2020, AJ, 160, 120 [Google Scholar]
- Katz, D., Sartoretti, P., Cropper, M., et al. 2019, A&A, 622, A205 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Kharchenko, N. V., Piskunov, A. E., Schilbach, E., Röser, S., & Scholz, R. D. 2013, A&A, 558, A53 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lardo, C., Pancino, E., Bellazzini, M., et al. 2015, A&A, 573, A115 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lillo-Box, J., Aceituno, J., Pedraz, S., et al. 2020, MNRAS, 491, 4496 [CrossRef] [Google Scholar]
- Majewski, S. R., Schiavon, R. P., Frinchaboy, P. M., et al. 2017, AJ, 154, 94 [Google Scholar]
- Marrese, P. M., Marinoni, S., Fabrizio, M., & Altavilla, G. 2019, A&A, 621, A144 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Massarotti, A., Latham, D. W., Stefanik, R. P., & Fogel, J. 2008, AJ, 135, 209 [Google Scholar]
- Mathieu, R. D., Latham, D. W., & Griffin, R. F. 1990, AJ, 100, 1859 [Google Scholar]
- Mermilliod, J.-C., & Mayor, M. 1990, A&A, 237, 61 [Google Scholar]
- Mermilliod, J. C., Mayor, M., & Udry, S. 2008, A&A, 485, 303 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Mermilliod, J. C., Mayor, M., & Udry, S. 2009, A&A, 498, 949 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Milliman, K. E., Mathieu, R. D., Geller, A. M., et al. 2014, AJ, 148, 38 [NASA ADS] [CrossRef] [Google Scholar]
- Molenda-Żakowicz, J., Brogaard, K., Niemczura, E., et al. 2014, MNRAS, 445, 2446 [CrossRef] [Google Scholar]
- Navarro, J. F., Frenk, C. S., & White, S. D. M. 1997, ApJ, 490, 493 [Google Scholar]
- Negueruela, I., Chené, A. N., Tabernero, H. M., et al. 2021, MNRAS, 505, 1618 [NASA ADS] [CrossRef] [Google Scholar]
- Nidever, D. L., Holtzman, J. A., Allende Prieto, C., et al. 2015, AJ, 150, 173 [NASA ADS] [CrossRef] [Google Scholar]
- Nine, A. C., Milliman, K. E., Mathieu, R. D., et al. 2020, AJ, 160, 169 [NASA ADS] [CrossRef] [Google Scholar]
- Nordström, B., Mayor, M., Andersen, J., et al. 2004, A&A, 418, 989 [Google Scholar]
- Pasquini, L., Avila, G., Blecha, A., et al. 2002, The Messenger, 110, 1 [Google Scholar]
- Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
- Pourbaix, D., Tokovinin, A. A., Batten, A. H., et al. 2004, A&A, 424, 727 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Randich, S., Gilmore, G., & Gaia-ESO Consortium 2013, The Messenger, 154, 47 [NASA ADS] [Google Scholar]
- Raskin, G., van Winckel, H., Hensberge, H., et al. 2011, A&A, 526, A69 [CrossRef] [EDP Sciences] [Google Scholar]
- Reid, M. J., Menten, K. M., Brunthaler, A., et al. 2014, ApJ, 783, 130 [Google Scholar]
- Riello, M., De Angeli, F., Evans, D. W., et al. 2021, A&A, 649, A3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Romero-Gómez, M., Athanassoula, E., Antoja, T., & Figueras, F. 2011, MNRAS, 418, 1176 [CrossRef] [Google Scholar]
- Romero-Gómez, M., Figueras, F., Antoja, T., Abedi, H., & Aguilar, L. 2015, MNRAS, 447, 218 [CrossRef] [Google Scholar]
- Schönrich, R., Binney, J., & Dehnen, W. 2010, MNRAS, 403, 1829 [Google Scholar]
- Smolinski, J. P., Lee, Y. S., Beers, T. C., et al. 2011, AJ, 141, 89 [Google Scholar]
- Soubiran, C., Jasniewicz, G., Chemin, L., et al. 2018a, A&A, 616, A7 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Soubiran, C., Cantat-Gaudin, T., Romero-Gómez, M., et al. 2018b, A&A, 619, A155 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Spina, L., Ting, Y. S., De Silva, G. M., et al. 2021, MNRAS, 503, 3279 [CrossRef] [Google Scholar]
- Spitzer, L., Jr., & Schwarzschild, M. 1951, ApJ, 114, 385 [NASA ADS] [CrossRef] [Google Scholar]
- Steinmetz, M., Matijevič, G., Enke, H., et al. 2020, AJ, 160, 82 [NASA ADS] [CrossRef] [Google Scholar]
- Stetson, P. B., & Pancino, E. 2008, PASP, 120, 1332 [Google Scholar]
- Tarricq, Y., Soubiran, C., Casamiquela, L., et al. 2021, A&A, 647, A19 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Taylor, M. B. 2005, in Astronomical Data Analysis Software and Systems XIV, eds. P. Shopbell, M. Britton, & R. Ebert, ASP Conf. Ser., 347, 29 [Google Scholar]
- Telting, J. H., Avila, G., Buchhave, L., et al. 2014, Astron. Nachr., 335, 41 [Google Scholar]
- Tofflemire, B. M., Gosnell, N. M., Mathieu, R. D., & Platais, I. 2014, AJ, 148, 61 [Google Scholar]
- Tonry, J., & Davis, M. 1979, AJ, 84, 1511 [Google Scholar]
- Watson, F. G., Parker, Q. A., Bogatu, G., et al. 2000, in Optical and IR Telescope Instrumentation and Detectors, eds. M. Iye, & A. F. Moorwood, SPIE Conf. Ser., 4008, 123 [NASA ADS] [CrossRef] [Google Scholar]
- Yanny, B., Rockosi, C., Newberg, H. J., et al. 2009, AJ, 137, 4377 [Google Scholar]
Appendix A: Details on data reduction
A.1. Sky emission and telluric absorption correction
As explained in Paper I, we acquired a blank field sky exposure in each run to subtract the sky emission. Moreover, we acquired several exposures of bright, hot, and rapidly rotating stars to remove the telluric absorption features, such as bands of O2 and H2O.
The sky emissions, both continuum and lines, were removed following the procedure described by Carrera et al. (2017). For each order, the sky and object spectra are separated into two components: continuum and lines. The sky-line component is cross-correlated with the object-line one to put both on the same wavelength scale. This also provides an additional check of the wavelength calibration. The obtained offsets are insignificant, to the order of 0.001 pixels, confirming no issues in the wavelength calibrations. Because object and sky exposures were not acquired in the same conditions, the sky- and object-line components are compared to search for the scale factor that minimises the sky-line residuals over the whole spectral region covered by each order. In practice, this optimum scaling factor is the value that minimises the sum of the absolute differences between the object line and the sky line multiplied by the scale factor, known as the L1 norm. The object continuum is added back to the sky-subtracted object-line spectrum. Finally, the sky continuum is subtracted, assuming that the scale factor is the same as for the sky-line component. As our goal is not to obtain flux calibrated spectra, and to avoid adding noise to the spectra, this procedure is only applied to orders that contain significant sky emission lines, that is, 3-σ above the continuum level. The left panel of Fig. A.1 shows an example of the sky subtraction performance.
![]() |
Fig. A.1. Example of the sky (left) and telluric subtraction (right). In both panels, blue and black lines are the spectrum before and after subtraction, respectively. Green lines are the subtracted spectra: sky emission and telluric absorption lines in left and right panels, respectively. |
All the exposures of a telluric star are averaged to improve the S/N. The continuum and stellar lines are removed for each order in the average telluric spectra in order to obtain only the telluric-line contribution. In the same way, the continuum of the object spectrum is removed in order to obtain the object-line contribution. As in the case of sky emission, the telluric- and object-line components are compared in order to search for the scale factor that minimises the telluric line residuals over the whole spectral region covered by each order. After applying this scale factor, the telluric-line spectrum is subtracted from the object-line one before adding back the object continuum. An example of the telluric subtraction is shown in the right panel of Fig. A.1. Finally, with each spectrum still separated in orders, the heliocentric correction is applied.
A.2. Combination, normalisation, and merge
At least three exposures of each individual target are acquired with the goal of removing cosmic ray contamination. The procedure followed to combine them is the following. (i) The exposure with the highest S/N is chosen as reference. With the individual spectra still separated by orders, each order of each individual exposure is cross-correlated with the same order of the reference exposure to determine initial shifts. (ii) After applying these shifts for each order, the individual exposures are averaged using a κ-sigma clipping rejection and weighting by the individual S/N of each exposure. (iii) Again, for each order, the individual spectra are cross-matched with the averaged one in order to refine the shifts between them. Steps (ii) and (iii) are repeated until no significant shifts are found. This procedure increases the S/N of the averaged spectra, but it also allows the detection of radial velocity variability if the exposures are properly distributed (see next section).
The averaged spectra of each order is normalised by fitting the upper envelope with a low-degree polynomial to remove the effect of the instrument response in the shape of the spectra. It is difficult to fit several very crowded orders, and orders that contain strong lines. To address this issue, we took advantage of the fact that the shape of each order, which is mainly determined by the instrument sensitivity, is related to that of the adjacent orders. Therefore, the continuum of the problematic orders is obtained by interpolation of the continuum of the rest of the orders. This procedure is iteratively repeated until no significant relative variations with respect to the previous iteration are found. Finally, the individual orders are merged in a single 1D spectrum. The flux of the overlapping regions covered by two orders are obtained by averaging the two. Figure A.2 shows an example of a final obtained spectrum, in red, and a comparison with the result of the previous procedure, in blue (see Paper I for details).
![]() |
Fig. A.2. Comparison between final spectra obtained with the old procedure, in blue (see Paper I for details), and the new one, in red, in three different wavelength windows for a typical star acquired with HERMES at Mercator telescope. |
Appendix B: Notes on comparison with external surveys
B.1. Gaia DR2
The Gaia DR2 (Gaia Collaboration 2018) provides radial velocities for more than 7 million stars (Katz et al. 2019) determined with the Radial Velocity Spectrometer (RVS, Cropper et al. 2018. Its wavelength coverage is from 845 to 872 nm with a spectral resolution of 11 500. The precision of the obtained radial velocities depends on several features, such as the magnitude of the targets, but also on their temperature, with values between ∼1 to 4 km s−1 (Katz et al. 2019). In total, there are 238 OCCASO stars with radial velocities in Gaia DR2. The differences of the radial velocities show a Gaussian distribution (panel a of Fig. 6) with a median of -0.04 km s−1. The relatively large width of the distribution has a MAD of 0.34 km s−1 and a standard deviation of 0.56 km s−1. Therefore, there is a good agreement between the OCCASO and Gaia DR2 radial velocities in spite of the larger uncertainties involved in the Gaia measurements.
B.2. Mermilliod et al. (2008)
Mermilliod et al. (2008) determined mean radial velocities for 1 309 stars belonging to 166 open clusters. The samples covering both hemispheres were obtained with two twin instruments, the photoelectric scanner CORAVEL (Baranne et al. 1979) installed at the Swiss 1 m telescope at the Haute-Provence Observatory (France) and the Danish 1.54 m telescope at La Silla Observatory (Chile). On average, the determined radial velocities have an internal dispersion of ∼0.5 km s−1. We found 78 stars in common with OCCASO. The difference of the radial velocities obtained in both studies shows a well-defined peak (panel b of Fig. 6) with a median value of 0.29 km s−1 with a MAD of 0.12 km s−1 and a standard deviation of 0.22 km s−1. We performed the same comparison in Paper I, finding similar results but from 40 stars. Therefore, we can conclude that the OCCASO radial velocities are in good agreement with those of Mermilliod et al. (2008) within the involved uncertainties.
B.3. APOGEE DR16
The APOGEE (Majewski et al. 2017) is one of the surveys performed in the framework of the third and fourth phases of the Sloan Digital Sky Survey (SDSS, Eisenstein et al. 2011; Blanton et al. 2017). APOGEE has obtained R∼22 500 spectra in the infrared H-band, 1.5-1.7 μm in both hemispheres. The radial velocities determined by APOGEE have an uncertainty of ∼0.1 km s−1 (Nidever et al. 2015). We cross-matched OCCASO with the latest APOGEE data release (the sixteenth; hereafter referred to as APOGEE DR16: Ahumada et al. 2020; Jönsson et al. 2020). We used a search radius of 5″4. We have 50 stars in common with APOGEE. The difference of radial velocities shows a distribution peaked at -0.23 km s−1 with a median absolute deviation of 0.13 km s−1 (panel c of Fig. 6). Differences in this range were already reported by Nidever et al. (2015). Therefore, it is due to the existence of small systematics in the APOGEE radial velocity determinations.
B.4. WIYN Open Cluster Study
The WIYN Open Cluster Study (WOCS) is systematically performing a comprehensive photometric, astrometric, and spectroscopic study of selected open clusters using the WIYN (Wisconsin, Indiana, Yale NOAO) 3.5 m telescope at Kitt Peak Observatory (Arizona, USA). In particular, four of the clusters studied by WOCS are in common with OCCASO: NGC 188 (Geller et al. 2008), NGC 2682 (Geller et al. 2015), NGC 6791 (Tofflemire et al. 2014), and NGC 7789 (Nine et al. 2020). Although not always the same instruments and instrumental configurations have been used in all these works, their radial velocities have average uncertainties below 0.5 km s−1. We found 33 stars in common with WOCS. The distribution of the radial velocity differences shows a well-defined peak (panel d of Fig. 6) with a median of 0.19 km s−1, MAD of 0.15 km s−1, and a standard deviation of 0.22 km s−1. Therefore, we can conclude that there is a good agreement between OCCASO and WOCS radial velocities within the uncertainties involved in each of the studies.
B.5. LAMOST DR5
The LAMOST (Large Sky Area Multi-Object Fiber Spectroscopic Telescope) is currently performing a Galactic survey, which is also called LEGUE (LAMOST Experiment for Galactic Understanding and Exploration survey). The LAMOST system is a 4 m telescope which feeds a highly multiplexed spectrograph in which 4000 fibers can be distributed on a 5° field of view. LAMOST is currently sampling Galactic stars with two resolutions. The lowest one, R∼1 500, provides a full spectral coverage between 369 and 910 nm. The highest resolution, R∼7 500, provides spectra in two bands: blue, 495 to 535 nm; and red, 630 to 680 nm. For the sixth data release, DR 6, the radial velocity uncertainties in the lowest resolution mode are, on average, of about 5 km s−1, while in the highest one they are, on average, of 1.5 km s−1. There are 32 stars in common between OCCASO and LAMOST, but there is no significant agreement, as is shown in panel e of Fig. 6, probably due to the large LAMOST uncertainties. The median of the radial velocity differences is 5.5 km s−1 with a MAD of 2.5 km s−1 and a standard deviation of 3.8 km s−1.
B.6. Gaia RVS standards
Soubiran et al. (2018a) compiled a catalogue of 4 813 stars used as a reference for the Gaia RVS. In total, they compiled ∼71 000 radial velocities measurements from five high-resolution spectrographs. The resulting radial velocities have a typical time baseline of 6 a with a MAD of 15 m s−1. There are 28 stars in common with OCCASO. The differences of the radial velocities show a clear narrow peak centred at 0.22 km s−1 with a MAD of 0.03 km s−1 and a standard deviation of 0.06 km s−1 (panel f of Fig. 6). There may be a systematic offset between the radial velocity determination of both samples. Therefore, there is a good agreement between both samples, but with a systematic error of ∼0.2 km s−1.
B.7. GALAH DR3
The GALactic Archaeology with HERMES (GALAH) survey is a large observing programme using the HERMES (High Efficiency and Resolution Multi-Element Spectrograph, Barden et al. 2010) instrument with the Anglo-Australian Telescope of the Australian Astronomical Observatory. HERMES provides simultaneous medium resolution, R∼28 000, spectra for 400 objects in four wavelength bands: blue (472-490 nm), green (565-587 nm), red (648-674 nm), and infrared (759-789 nm). The third data release of GALAH includes also the radial velocities determined by the SME (Spectroscopic Made Easy) pipeline (Buder et al. 2021). The typical uncertainty of the GALAH DR3 radial velocities is ∼0.1 km s−1. There are 25 stars in common between OCCASO and GALAH EDR3 in spite of GALAH mainly sampling the Southern Hemisphere. The difference of the radial velocities determined by both projects does not show a peaked distribution (panel g of Fig. 6). The median of the differences is -1.09 km s−1, but with a median absolute distribution of 0.80 km s−1 and a standard deviation of 1.40 km s−1. These large values denote the poor agreement between the OCCASO radial velocities and the values provided by GALAH DR3.
B.8. Gaia-ESO Survey (GES) DR4
The Gaia-ESO survey (GES, Gilmore et al. 2012) is a spectroscopic survey carried out with FLAMES (Fibre Large Array Multi Element Spectrograph Pasquini et al. 2002) on one of the VLT units (Very Large Telescopes). FLAMES is a multi-fibre instrument that feeds two different spectrographs: UVES and GIRAFFE. UVES (Ultraviolet and Visual Echelle Spectrograph, Dekker et al. 2000) is a high-resolution, R∼47 000, optical spectrographer covering a wavelength range from 480 to 700 nm, which can be feed with up to eight fibres. The other 132 fibres go to GIRAFFE5, a medium-resolution, R∼20 000 spectrographer that is able to cover the whole visible wavelength range using different gratings. However, different combinations of them have been used for GES-GIRAFFE, and therefore there is no specific configuration for the entire survey. This implies that not all targets have been sampled in the same way, and as a consequence the radial velocities uncertainties are between 0.15 and 0.37 km s−1 (e.g. Lardo et al. 2015). There are only 20 OCCASO stars in common, owing to GES observed from the Southern Hemisphere. The difference of the radial velocities shows a bimodal distribution peaked at -0.37 and 0.53 km s−1 and a σ of 0.19 and 0.15 km s−1, respectively (panel h of Fig. 6). None of the peaks is related to a particular instrumental configuration of GES, which could explain the obtained distribution. Therefore, GES DR3 radial velocities show a larger scatter in comparison with the OCCASO ones.
B.9. RAVE DR6
The RAVE (Radial Velocity Experiment, Steinmetz et al. 2020) is a magnitude-limited (9< I< 12 mag) spectroscopic survey of Galactic stars randomly selected in the Southern Hemisphere. It obtains low-resolution, R∼7 500, spectra covering the infrared Ca II triplet region, 841 to 879 nm, using the 6df multi-object spectrograph (6° diameter field of view, Watson et al. 2000) installed at the UK Schmidt Telescope (UKST) in Australia. There are 16 stars in common between OCCASO and the sixth RAVE data release. The distribution of the radial velocity differences (panel i of Fig. 6) does not show a clear peaked distribution, its median is -0.22 km s−1 with a MAD of 0.85 km s−1 and a standard deviation of 1.00 km s−1.
B.10. The Geneva-Copenhagen survey
Nordström et al. (2004) presented the Geneva-Copenhagen survey of the Solar neighbourhood in which radial velocities were determined for ∼14 000 F- and K-type stars. The derived radial velocities have, on average, an uncertainty of ∼0.3 km s−1. OCCASO has 13 stars in common with this survey. The median of the radial velocity differences is of 0.64 km s−1, with a MAD of 0.30 km s−1 and a standard deviation of 0.45 km s−1 (panel j of Fig. 6).
B.11. SEGUE
SEGUE (Sloan Extension for Galactic Understanding and Exploration, Yanny et al. 2009) obtained low-resolution, R∼1 800 spectra with a wavelength coverage from 390 to 900 nm for Galactic stars in the 14< g< 20 mag range in the framework of the SDSS. The determined radial velocities have an uncertainty that ranges from ∼4 km s−1 at g< 18 mag to ∼15 km s−1 at g∼20 mag. In spite of SEGUE sampling some stars in several open clusters (e.g. Smolinski et al. 2011; Carrera 2012; Carrera & Martínez-Vázquez 2013), we only found five stars of the cluster NGC 6791 to be in common with OCCASO. We found a median difference of 0.55 km s−1 with a MAD of 0.22 km s−1 and a standard deviation of 0.43 km s−1, which is a good agreement when taking into account the uncertainties involved in the SEGUE radial velocities.
Appendix C: Notes on individual clusters
We began this project before the Gaia results were available, so we have now completed an updated study taking into account the new data. In the following, when we refer to the astrometric membership probabilities, p, we refer to the values computed by Cantat-Gaudin et al. (2018) and Cantat-Gaudin et al. (2020) from Gaia DR2 proper motions and parallaxes. We refer the reader to these papers for details. Moreover, unless otherwise specified, all the Gaia identifications refer to EDR3.
![]() |
Fig. C.1. continued. |
![]() |
Fig. C.1. continued. |
C.1. ASCC 108
We targeted six stars in the field of view of this cluster. Four of them have p≥0.7, but the other two have a negligible probability of being cluster members. In any case, all the studied stars have very different velocities among them, even those with a high membership probability. Soubiran et al. (2018b) reported a radial velocity of -6.3±2.1 km s−1 for this cluster, but this comes from a single star that was not targeted by OCCASO. Therefore, we are not able to ensure that OCCASO has target, real-cluster single members. For this reason, we do not provide a radial velocity for this cluster.
C.2. Alessi 1
So far, we have observed a single star in this cluster, but with p = 1. Although this star has been observed with CAH2, which implies larger uncertainties, the derived radial velocity is similar to the value obtained by Gaia RVS. Moreover, this value is in agreement with the average velocity obtained for this cluster by Soubiran et al. (2018b) from 13 stars of -3.73±1.42 km s−1. Therefore, we assign the radial velocity of this star of -4.67±0.03 km s−1 to this cluster, taking into account that only one star has been observed and the real uncertainty of the OC may be of ∼0.5 km s−1.
C.3. Berkeley 17
All six stars observed in Berkeley 17 have p = 1. Three of the stars have slightly different radial velocities than the others: W117, W120, and W130. These three have vscatter values larger than the average of the sample, which could be a hint of being spectroscopic binaries. These stars are among the faintest objects in our sample, and therefore this may increase the uncertainties in their radial velocity determinations. When excluding these three stars, the average cluster radial velocity is -73.59±0.03 km s−1, while using the three stars makes the value -73.79±0.09 km s−1.
C.4. COIN-Gaia 11
Five stars have been observed in the field of view of COIN-Gaia 11, one of the new clusters reported by Cantat-Gaudin et al. (2019) from Gaia DR2. Three of the observed stars were selected because they are located near the expected position of the red clump, although they have a very low membership probability of p≤0.2. The other two stars have p = 0.6 and 0.8, respectively (Cantat-Gaudin et al. 2018). The observed stars have very different radial velocities among them. Therefore, we cannot be sure that we are observing true individual cluster members.
C.5. FSR 278
The six stars observed in the field of view of FSR 278 have p≥0.7, but they show slightly different radial velocities among them. To our knowledge, there are no previous radial velocity determinations for this cluster in the literature. For this reason, we provided the obtained value in spite of its large scatter (−6.76±1.83 km s−1). The observed scatter could be explained if our sample included one or more spectroscopic binaries, a statement that could not be checked with the data already on hand.
C.6. FSR 850
The five stars sampled in FSR 850 have probabilities in the 0.5≤p≥0.9 range. All of them have similar radial velocities within the uncertainties. There is one star, 3428591234695054592, that shows a significant scatter in the radial velocities of the individual exposures, vscatter = 0.63 km s−1, which is an indication of being a spectroscopic binary.
C.7. IC 4756
The eight observed stars in this cluster have p = 1, except 4283940671842998272 (W0081), which has proper motions and parallaxes incompatible with the cluster (Cantat-Gaudin et al. 2018). This star was selected before Gaia based on its position in the colour-magnitude diagram (Fig. 1). However, in Paper I we already reported that it has a radial velocity different to the other cluster’s stars.
C.8. King 1
Two of the seven stars observed in King 1, 431203347750408832 (W0405) and 431179605170259328 (W0971), have incompatible proper motions and parallaxes from EDR3 with the average values of the cluster, as well as slightly different radial velocities. These stars were selected before the Gaia data were available and are clearly non-members. The other observed stars have p = 1 and similar radial velocities, although with a dispersion larger than the typical values observed in other clusters.
C.9. Melotte 72
For the moment, we have observed a single star in this cluster with p = 1. For this star, we obtained a radial velocity of 70.70±0.11 km s−1. This value is compatible with the average radial velocity provided by Soubiran et al. (2018b) for this cluster of 71.50±7 km s−1 from eight stars.
![]() |
Fig. C.2. Same as Fig. 7, but for the clusters for which we are not sure that we are targeting real cluster members. We note that the scales of the y-axis are much longer than in Fig. 7 and change from panel to panel. |
C.10. Melotte 111
We observed 12 stars along the main sequence of the Coma Berenices Cluster (Melotte 111 or Collinder 256). There are two giant stars with a high membership probability in this cluster reported by Cantat-Gaudin et al. (2020): 4008342726516877312 and 3961912034103154944. The first one is a spectroscopic binary (Mermilliod et al. 2009), and the latter is a well-known rotationally variable star (Massarotti et al. 2008). For these reasons, we did not target them. Two of the observed stars, 4002275552635131136 (W058) and 4008342623437661568 (W092), have negligible membership probabilities from Cantat-Gaudin et al. (2020). Their Gaia EDR3 proper motions are incompatible with the average values of the cluster, although they have significantly larger uncertainties in comparison with the bulk of the cluster. Both objects have radial velocities compatible with the average value for the cluster, although the value for the first star is slightly larger but still compatible with it being a cluster member within uncertainties. For this reason, we consider these two stars as cluster members from their radial velocity. There are two stars with p = 1 with radial velocities statistically different from the rest of the objects sampled in this system: 4002565308308607616 (W036) and 4002550293102977152 (W049). The Gaia DR2 radial velocities are also different from the rest of the cluster members (Soubiran et al. 2018b). The first object has a significantly larger rotational velocity, vsini, according to Mermilliod et al. (2009), than the other objects sampled in this cluster. To our knowledge, there are no recent measurements of the rotational velocity of the other star. The current version of our radial velocity determination pipeline does not include determination of the rotational velocity. However, these two stars have the largest verr values in our sample. As verr is the width of the correlation peak, larger values could imply that the lines are wider than the template ones, which is a clear sign of rotation. For the moment, we discard these two objects as cluster members due to their radial velocity.
C.11. NGC 188
The six stars targeted in NGC 188 have p = 1. All of them have compatible radial velocities within the uncertainties, although one of them, 573942256497894144 (W2051), has a radial velocity slightly different from the other but still within 3 σ. We do not find in the literature that this could be a spectroscopic binary or a high rotation star. This star has also been observed by APOGEE DR16, which reported a velocity similar to the one obtained here: vAPO, DR16=-40.06±0.039 km s−1.
C.12. NGC 559
For the moment we have sampled only two stars in this cluster. All of them have p = 1 and both have compatible radial velocities. We used both in our analysis.
C.13. NGC 609
The six stars observed in NGC 609 have p≥0.9. All of them have compatible radial velocities within the uncertainties.
C.14. NGC 752
The seven stars observed have p = 1. Mermilliod et al. (2008) reported three of them as spectroscopic binaries: 342554191959774720 (W0001), 342536702852966784 (W0027), and 342893803614055168 (W0295). They show radial velocities compatible with the average values of the cluster. We excluded them from our analysis.
C.15. NGC 1817
Four of the five stars observed in NGC 1817 have p≥0.9 (Cantat-Gaudin et al. 2018). The exception is the star 3394745522309372672 (W0022), which has p = 0.5 and has been reported as a spectroscopic binary by Mermilliod et al. (2008) although it has a radial velocity compatible with the other stars in the cluster.
C.16. NGC 1907
One of the five stars observed in NGC 1907, 182888232977806848 (W2087), has Gaia EDR3 proper motions and parallax incompatible with the average value of the cluster, as well as a very different radial velocity. It was selected because of its position in the colour-magnitude diagram. The other four objects have p≥1, except for star 183263127784146176 (W0133), whis has p = 0.8. This star has a radial velocity slightly different to the others and outside the 3 σ range. A slightly different radial velocity for this star was already reported in Paper I. We consider this star as cluster non-member, although it could be a spectroscopic binary.
C.17. NGC 2099
The 12 observed stars in this cluster have p≥0.9 and all of them have compatible radial velocities within the uncertainties. However, the star 3451180838527642496, observed with CAH2, has not been used to obtain the average radial velocity and dispersion of the cluster.
C.18. NGC 2126
The two objects observed in NGC 2126, which have p = 1, have similar radial velocities within the uncertainties in spite of their being observed with CAH2. We obtained the average radial velocity from them, although the obtained value should be taken with caution.
C.19. NGC 2266
Although the six observed stars in this cluster have p = 1, one of them, 3385734509125343104, has a radial velocity slightly different to the others. Therefore, we consider this star as a non-member due to its radial velocity.
C.20. NGC 2354
The six observed stars in NGC 2354 have p = 1, although two of them, 5616374874377505536 (W125) and 5617123641794171136 (W183), were catalogued as spectroscopic binaries by Mermilliod et al. (2008). We excluded them from our analysis, but they have radial velocities compatible with the rest of the cluster.
C.21. NGC 2355
In NGC 2355, the six targeted stars have p≥0.8, although one of them, 3166542914757014272 (W536), was reported as a spectroscopic binary by Mermilliod et al. (2008). We discarded this object from our analysis, although it has a radial velocity compatible with the other stars studied.
C.22. NGC 2420
The seven stars observed in NGC 2420 have p≥0.9. One of them, 865399969857818240 (W091), was reported as spectroscopic binary by Mermilliod et al. (2008). Other stars in this cluster are affected by the problems in the wavelength calibration of the first observing run with NOT1 in April 2013, which is the source of their large error bars. Because of this problem, one of these stars, 865398629828015616 (W236), is excluded because its radial velocity is outside the 3 σ. Although with its large uncertainty the derived velocity is compatible with the average value for the cluster, we excluded it so as not to artificially increase the internal velocity dispersion in the cluster. However, while we excluded it from our analysis, we keep it as a potential cluster member for future chemical analysis.
C.23. NGC 2539
The six stars observed in this cluster have p = 1. However, one of them, 5727492584627173888 (W233), may be a spectroscopic binary according to Pourbaix et al. (2004), and its radial velocity is not compatible in our sample.
C.24. NGC 2632
We observed seven stars in NGC 2632, commonly known as Praesepe, all of them with p≥0.9. However, five of them were reported as spectroscopic binaries by Mermilliod et al. (2008) and Pourbaix et al. (2004): 661297080936069632, 661271173693364864, 661396754238802816, 661324431287688448, and 659771027514771328, and their radial velocities are not compatible. The average radial velocity for this cluster was derived from the remaining two stars, which have very similar values.
C.25. NGC 2682
A total of 14 stars with p≥0.7 were observed in NGC 2682, also known as M 67. Three of them have been reported as spectroscopic binaries by different sources: 604904503934969856 (W224), 604917835513458688, and 604917354477128448 (W170) (Mathieu et al. 1990; Mermilliod et al. 2008; Geller et al. 2015, 2021). The star 604904503934969856 has a large vscatter, which is a clear indication of it being a binary, as the large error bar in Fig. 7 denotes. We excluded these three stars from the analysis. There is another star, 604917629355042176 (W141), that was reported as binary by Mermilliod et al. (2008) but not in more recent studies (e.g. Geller et al. 2015, 2021). Its radial velocity is in very good agreement with the other stars sampled in the cluster. Therefore, we fully considered this star in our analysis. There are four stars observed with CAH2 which were excluded from the determination of the average radial velocities of the cluster, although they are considered as members since their velocities are compatible with that of the cluster within the uncertainties.
C.26. NGC 6603
So far, we have only observed two stars in NGC 6603, 4096376769977293696 (W2033), and 4096379003360769664 (W2252), with p = 0.8 and 0.7, respectively. Both stars have different radial velocities. For this cluster, Soubiran et al. (2018b) reported an average velocity of 17.9±1.4 km s−1 from the radial velocities of 14 stars released in Gaia DR2. We only have one star, 4096379003360769664, in common with the Gaia sample, which provided a radial velocity in spite of the larger uncertainties, 16.77±0.14 km s−1, which is very similar to the value found here, 16.83±0.01 km s−1. In any case, because the two sampled stars have statistically different radial velocities, we do not provide an average radial velocity for this cluster.
C.27. NGC 6633
The four stars observed in NGC 6633 have astrometric probabilities between 0.5 and 0.9. The four stars have similar radial velocities. However, because of the small error bars on one of the stars, 4477273268868842752 (W106), which has the lowest membership probability of p = 0.5, it is rejected by the 3 σ clipping. However, because of the very small error bars involved, we do not discard that this object may be a real NGC 6633 member.
C.28. NGC 6645
The six observed stars in NGC 6645 have p≥0.8. All of them have compatible radial velocities within the uncertainties.
C.29. NGC 6705
We observed a total of 17 stars in this cluster. Except for 4252502851280454528 (W1256), which has p = 0.4, the other stars have p≥0.7. The star 4252499041749404288 (W1090) was catalogued as a spectroscopic binary by Mermilliod et al. (2008), although the value found here is compatible with the other observed stars within the uncertainties.
C.30. NGC 6728
The six stars observed in NGC 6728 have p≥0.9. However, one of them, 4203595268400924160, has a different radial velocity in comparison with the other stars in this cluster. This star was excluded from our analysis.
C.31. NGC 6755
We observed four stars with CAH2 in this cluster. They have p≥0.8. All of them have compatible radial velocities within the uncertainties.
C.32. NGC 6791
We observed eight stars in NGC 6791, all of them with p = 1. They are among the faintest objects in our sample, and therefore they have lower S/N than the bulk of the objects. Moreover, one of the stars, 2051293049345067904 (W10806), is affected by the problems of the NOT APR13 observing run, as its large error bar denotes. The star 2051293049345064832 (W10435) has a radial velocity significantly different from the rest of the sampled objects, and we consider it a cluster non-member. The radial velocity found here, -13.49±0.04 km s−1, is significantly different from the value found by Tofflemire et al. (2014) within WOCS of -43.1 km s−1,6 although they reported that these objects should be rapid rotation stars with vsini = 47.7 km s−1. Our analysis based on four individual exposures does not show sign of rotation with a verr = 0.0002 km s−1.
C.33. NGC 6811
We sampled seven high probability p = 1 stars in the field of view of NGC 6811. One of them, 2128520066019454464 (W359), has a radial velocity statistically different from the others. Another star, 2128121080738613888 (W0032), was reported as a spectroscopic binary by Mermilliod et al. (2008). We found a radial velocity compatible with the other stars; however, it shows a vscatter slightly larger than most of the objects in our sample, which may hint towards binarity. We excluded both objects from our analysis.
C.34. NGC 6819
The six observed stars have p = 1, except star 2076393692921636992 (W386), which has p = 0.8. Star 2076300028271234816 (W979) was reported as a spectroscopic binary by Pourbaix et al. (2004) and Milliman et al. (2014), although its radial velocity is compatible with the average value for the cluster. The star 2076300028278728448 (W978) has a radial velocity outside the 3 σ limit. The APOGEE DR16 radial velocity for this star, 1.18±0.08 km s−1, is similar to the value found here of 0.97±0.04 km s−1, within the uncertainties. We discarded this star from our analysis.
C.35. NGC 6939
The six stars sampled in NGC 6939, all of them with p = 1, have also compatible radial velocities among them. We used these six stars in our analysis.
C.36. NGC 6940
The six stars observed in this cluster have p = 1. One of them, 1857458009880137728 (W105), was marked as a spectroscopic binary by Mermilliod et al. (2008), and therefore excluded from our analysis, although it has a radial velocity compatible with the others.
C.37. NGC 6991
Three of the four stars observed in NGC 6991 have p = 1. The other one, 2166827669620834304 (W034), has p = 0.8. However, its radial velocity differs statistically from the average value of the cluster, and we excluded it from our analysis. This star was also reported as a non-member in Paper I.
C.38. NGC 6197
The six stars sampled in this cluster have relatively low astrometric membership probabilities: 0.6≤p≤0.7. Considering all of them as cluster members, we find an average radial velocity of -19.39±1.00 km s−1. This value is in good agreement with the value derived by Soubiran et al. (2018b) for this cluster, -19.6±0.6 km s−1, obtained from eight stars, including five of the six objects studied here.
C.39. NGC 7142
One of the observed stars, 2217943140547818880 (W15), has p = 0.5, while the remaining four have p = 1. Two of them, 2217941933656287360 (W09) and 2217942109755694848 (W98), have relatively large values of vscatter: 0.13 and 0.21 km s−1, respectively. This could hint towards binarity. From the five observed stars, we found an average velocity of -49.7±2.8 km s−1, which is in good agreement with the value reported by Soubiran et al. (2018b), -49.7±0.9 km s−1, from the Gaia DR2 radial velocities of 21 stars, including the five objects studied here. There are significant differences, ∼3 km s−1, between the radial velocities derived here and the values provided by Gaia DR2 for three of the stars: 2217943140547818880 (W15), 2217942109755694848 (W98), and 2217943690303721344.
C.40. NGC 7245
The selection of the targets in NGC 7245 was performed before Gaia DR2. As a consequence, three of the six observed stars have very low membership probabilities: p = 0.1 for 2005039721913235072 (W045), and p = 0.2 for 2005038996044364544 (W055) and 2005039820678083328 (W205). The first two objects have proper motions incompatible with the bulk of the cluster in Gaia EDR3. In fact, 2005039721913235072 has a significantly different radial velocity. Therefore, we consider these two stars as non-members. The other star, 2005039820678083328, has a radial velocity and Gaia EDR3 proper motions compatible with other objects in the cluster. The star 2005790791433840384 (W178) has p = 1, but its radial velocity is different from the other three stars; however we cannot discard it from the data already on hand.
C.41. NGC 7762
Five of the six observed stars in this cluster have p = 1 and compatible radial velocities. The remaining object, 2210941484860858624 (W084), is clearly a non-member since it has incompatible proper motions, parallax, and radial velocity.
C.42. NGC 7789
Six of the seven stars observed in NGC 7789 have p = 1. The exception is the star 1995015165156922368 (W10915), with p = 0.2. One of the stars, 1995063058325729664 (W7176), shows a large vscatter value, 0.22 km s−1, which could be a sign of it being a spectroscopic binary. Two of the high probability stars have statistically discrepant radial velocities: 1995063165712971264 (W7714) and 1995014817253072512 (W8260). On the contrary, the star with the lowest priority has a radial velocity compatible with the average value of the cluster. We consider this star a member, and we excluded the two stars with discrepant radial velocities and the potential spectroscopic binary.
C.43. Ruprecht 171
The six stars observed in Ruprecht 171 have p = 1 and radial velocities compatible within the uncertainties. We used these six stars in our analysis.
C.44. Skiff J1942+38.6
The six stars sampled in this cluster have p = 1. Statistically, all of them have similar radial velocities within the uncertainties, with an average value of -18.61±0.48 km s−1. However, there is one star, 2073152062071970816, of which the radial velocity is near the 3 σ limit. If we exclude this star, the average cluster radial velocity is -18.53±0.25 km s−1.
C.45. UBC 3
The paper in which this cluster was first reported, Castro-Ginard et al. (2018), provided astrometric membership probabilities, both with p = 1, for only two stars at the red clump position: 4505873799708237696 and 4505874693061489280. We added three additional targets by selecting stars with parallaxes and proper motions compatible with those of the cluster within the uncertainties. Two of these additional targets have compatible radial velocities with the others: 4505870707331506560 and 4505950456287761664. On the contrary, the star 4505875998731552000 has a discrepant radial velocity, and it is excluded from our analysis.
C.46. UBC 6
As in the case of UBC 3, astrometric membership probabilities were only available for two stars, 1989225858470773504 and 1989227954422224000, in UBC 6 at the moment we performed the target selection. We selected four additional targets with compatible parallaxes and proper motions. All the additional targets have compatible radial velocities among them and with the high astrometric membership probability objects.
C.47. UBC 44
The three stars observed in this cluster have p = 1. All of them have similar radial velocities, while one of them, 456325294354079744, was observed with CAH2 and therefore has larger uncertainties. We excluded this object to obtain the average radial velocity of the cluster.
C.48. UBC 59
The three stars sampled in UBC 59 have p = 1 and very similar radial velocities. We used these three stars in our analysis.
C.49. UBC 106
The two stars observed so far in UBC 106 have p = 1 and similar radial velocities within the uncertainties, taking into account that they were observed with CAH2. This cluster was recently studied by Negueruela et al. (2021), where it was named Valparaiso 1. Their radial velocity determinations are in agreement with the values found here and with Gaia DR2, within the uncertainties.
C.50. UBC 215
The five stars in UBC 215 have p = 1. One of them, 3100684229843892608, has a radial velocity outside the 3 σ range and it is excluded. However, this star and 3103690088474213248 have large vscatter values of 0.13 and 0.27 km s−1, respectively. This is a sign that these two stars may be spectroscopic binaries.
C.51. UPK 55
The four stars observed in this cluster have 0.7≤p≤0.9. However, they have very different radial velocities among them, and therefore we cannot ensure that any of them is a real cluster member.
Appendix D: Evolution of Zmax and eccentricity as a function of age for axisymmetric and non-axisymmetric potentials
In this appendix, we present figures similar to those of Fig. 12, but only with the axisymmetric potential (Fig. D.1), the axisymmetric potential and bar (Fig. D.2), and the axisymmetric potential and spiral arms (Fig. D.3), respectively.
Appendix E: Observed stars
The complete list of observed stars is publicly available in CDS.
All Tables
Differences of radial velocities measured with different instrumental configurations.
Differences between the OCCASO and other surveys radial velocities, where N is the number of objects in common.
Average radial velocities derived here for the OCs in our sample, together with other radial velocity determinations available in the literature.
Line-of-sight velocity vGSR with respect to the galactocentric standard of rest and vRSR with respect to the regional standard of rest.
All Figures
![]() |
Fig. 1. Gaia DR2 colour-magnitude diagrams of the observed clusters using member stars from Cantat-Gaudin et al. (2020, black points). Blue, purple, and cyan points are the OCCASO spectroscopic targets considered as members, non-members, doubtful members, respectively (see text for details). Red points are spectroscopic binaries. We note that the clusters are sorted by distance from the Sun to improve understanding of the figure. |
In the text |
![]() |
Fig. 2. Variation of verr (top) and vscatter (bottom) as a function of S/N for the different telescopes and instruments used in our analysis. Closed and open symbols are single and spectroscopic binaries, respectively. |
In the text |
![]() |
Fig. 3. Histograms of radial velocity scatter distribution for stars with three or more visits for the different telescopes and instruments used. The distributions peak at 21.2 m s−1 for CAH2 (purple), 10.0 m s−1 for MERC (blue), 10.3 m s−1 for NOT1 (red), and 15.4 m s−1 for NOT2 (green), respectively. |
In the text |
![]() |
Fig. 4. Differences in vrad obtained for stars in common between MERC and NOT1 (top panel), MERC and CAH2 (top central panel), NOT1 and CAH2 (bottom central panel), NOT2 and MERC (blue), and CAH2 (red), respectively (bottom panel). The error bars are the sum of the square of the uncertainties. In most of the cases, error bars are smaller than symbol sizes. |
In the text |
![]() |
Fig. 5. Distribution of differences between vrad derived here and in Papers I and II. |
In the text |
![]() |
Fig. 6. Comparison of the OCCASO radial velocities with different samples available in the literature. |
In the text |
![]() |
Fig. 7. Determination of average radial velocity for each cluster. Filled symbols mark those stars used to determine the average value, while open symbols are the excluded objects. Black circles represent those stars observed with MERC, NOT1, and NOT2, while green diamonds are the stars observed with CAH2. Red pentagons are the known spectroscopic binaries. Arrows denote objects outside the panels. Dot-dashed lines correspond to the average radial velocity for each cluster. Dotted lines show the 3 × σvrad level. We note that in most of the cases, error bars are smaller than the symbol size. All source identifications are from Gaia EDR3. |
In the text |
![]() |
Fig. 8. Comparison of average cluster radial velocities with different values available in the literature for each cluster. Arrows denote that the value is outside the panel range. Dashed and dotted lines show the median and the MAD of the differences as listed in Table 6, respectively. |
In the text |
![]() |
Fig. 9. Projection on Galactic plane of the position and velocity with respect to the regional standard of rest of the clusters in our sample. |
In the text |
![]() |
Fig. 10. Example of orbits for IC 4756 with an age of 1.29 Ga (left) and Berkeley 17 with 7.24 Ga (right). |
In the text |
![]() |
Fig. 11. Comparison of results obtained by integrating the orbits with the MW2014 potential and adding the arms (in orange) and bar (in blue) potentials for the eccentricity (top left), the maximum height with respect to the Galactic plane (top right), and the birth radius (bottom left). Comparison between the current galactocentric radius and the calculated birth radius for MW2014 adding the bar and the spiral potential together (bottom right). |
In the text |
![]() |
Fig. 12. Run of zmax (top) and eccentricity (bottom) as a function of age for the OCs in our sample using MW2014 and adding bar and spiral components. |
In the text |
![]() |
Fig. A.1. Example of the sky (left) and telluric subtraction (right). In both panels, blue and black lines are the spectrum before and after subtraction, respectively. Green lines are the subtracted spectra: sky emission and telluric absorption lines in left and right panels, respectively. |
In the text |
![]() |
Fig. A.2. Comparison between final spectra obtained with the old procedure, in blue (see Paper I for details), and the new one, in red, in three different wavelength windows for a typical star acquired with HERMES at Mercator telescope. |
In the text |
![]() |
Fig. C.1. Same as Fig. 7, but for the remaining clusters. |
In the text |
![]() |
Fig. C.1. continued. |
In the text |
![]() |
Fig. C.1. continued. |
In the text |
![]() |
Fig. C.2. Same as Fig. 7, but for the clusters for which we are not sure that we are targeting real cluster members. We note that the scales of the y-axis are much longer than in Fig. 7 and change from panel to panel. |
In the text |
![]() |
Fig. D.1. As in Fig. 12, but with the axisymmetric potential. |
In the text |
![]() |
Fig. D.2. As in Fig. D.1, but adding the potential of the bar. |
In the text |
![]() |
Fig. D.3. As in Fig. D.1, but adding the potential of the spiral arms. |
In the text |
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.