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11institutetext: INAF–Osservatorio Astrofisico di Catania, via S. Sofia 78, 95123 Catania, Italy 22institutetext: INAF–Osservatorio di Astrofisica e Scienza dello Spazio, via P. Gobetti 93/3, 40129 Bologna, Italy 33institutetext: INAF–Osservatorio Astrofisico di Arcetri, Largo E. Fermi 5, 50125 Firenze, Italy 44institutetext: INAF–Osservatorio Astronomico di Padova, vicolo dell’Osservatorio 5, 35122 Padova, Italy

High-resolution spectroscopy of the young open cluster M 39 (NGC 7092)

J. Alonso-Santiago 11    A. Frasca 11    G. Catanzaro 11    A. Bragaglia 22    L. Magrini 33    A. Vallenari 44    E. Carretta 22    S. Lucatello 44

M 39 is a nearby young open cluster hardly studied in the last decades. No giant is known among its members and its chemical composition has never been studied. In order to investigate it we performed high-resolution spectroscopy of 20 expected cluster members with the HARPS and FIES spectrographs. By combining our observations with archival photometry and GaiaGaia-DR3 data we searched for evolved members and studied cluster properties such as the radial velocity, extinction and age. For the first time, we provide stellar parameters and chemical abundances for 21 species with atomic numbers up to 56. We have not found any new giant as likely member and notice a negligible reddening along the cluster field, that we place at 300 pc. We obtain a mean radial velocity for M 39 of -5.5±\pm0.5 km s-1 and an isochrone-fitting age of 430 ±\pm 110 Ma, which corresponds to a MSTO mass of around 2.8 M. This value is consistent with the Li content and chromospheric activity shown by its members. Based on main-sequence stars the cluster exhibits a solar composition, [Fe/H]=++0.04±\pm0.08 dex, compatible with its Galactocentric location. However, it has a slightly subsolar abundance of Na and an enriched content of neutron-capture elements, specially Ba. In any case, the chemical composition of M 39 is fully compatible with that shown by other open clusters that populate the Galactic thin disc.

Key Words.:
open clusters and associations: individual: M 39 – open clusters and associations: individual: NGC 7092 – Hertzsprung-Russell and C-M diagrams – stars: abundances – stars: fundamental parameters

1 Introduction

The abundance and spatial distribution of the different chemical elements as well as their variation over time, are keys to understanding the origin and evolution of our Galaxy. In the era of GaiaGaia and the large spectroscopic surveys, such as for example GaiaGaia-ESO (Gilmore et al., 2022; Randich et al., 2022), GALAH (De Silva et al., 2015) and APOGEE (Majewski et al., 2017), Galactic Archaeology is experiencing an unprecedent advance, significantly improving our knowledge of the structures and history of the Milky Way. Open clusters (OCs) are among the best tracers of the Galactic thin disc, since they are disseminated throughout it, covering a wide range of distances and ages. Furthermore, the chemical cluster composition, usually based on the analysis of a large number of members, is more reliable than that obtained from individual field stars. The best tool for deriving accurate chemical abundances is high-resolution spectroscopy. However, despite these large surveys and some other that are about to come into operation like WEAVE (Jin et al., 2023) and 4MOST (de Jong et al., 2019), only a small fraction of OCs (around 10%) have been observed in this way to date. This fraction could be even lower if we consider the recently discovered new OCs (Hunt & Reffert, 2023) in light of the GaiaGaia third data release (GaiaGaia-DR3, Gaia Collaboration et al., 2022). Thus, high-resolution spectroscopy, such as the one conducted in this work, is highly required to continue studying our Galaxy in depth.

M 39 (also known as NGC 7092) is a sparse and nearby OC in Cygnus. It was first studied by Trumpler (1928), who classified it as a type 1a object. That means the cluster hosts only main sequence (MS) stars, i.e. with no late-type giants, not earlier than spectral type A. The most relevant works focused on M 39 date back several decades (see e.g., Ebbighausen, 1940; Eggen, 1951; Johnson, 1953; Weaver, 1953; Abt & Sanders, 1973; Abt & Levato, 1976; McNamara & Sanders, 1977; Mohan & Sagar, 1985; Manteiga et al., 1991; Platais, 1994). The cluster has been mostly studied by combining photographic and photoelectric UBVUBV photometry, spectral types obtained with low-resolution slit spectroscopy and membership identification based on proper motions derived from photographic plates. These works determined the cluster properties by observing a small number of stars, a few dozens at best. Nonetheless, Platais (1994) provided photometry and proper motions for 7931 stars in the field of M 39, assigning spectral types for 511 of them.

The aforementioned studies agree that the cluster lies at around 300 pc and that is practically unaffected by interstellar extinction. Among the MS stars the earliest spectral type is found to be B9-A0 (e.g. Abt & Levato, 1976), confirming the pioneering result of Trumpler (1928). As there is no evolved members it has not been easy to accurately determine the age of the cluster, which appears to be in the 200–500 Ma111Throughout the text we follow the recommendations of the IAU using the symbol aa (from the Latin word annusannus) as the unit of time rather than yryr. range (Mohan & Sagar, 1985; Manteiga et al., 1991).

Recently, Cantat-Gaudin et al. (2020), based on the GaiaGaia second data release, placed M 39 at 311 pc, found no appreciable reddening in the cluster field and estimated an age of about 400 Ma. To date, M 39 has not yet been observed with high-resolution spectroscopy and its chemical composition remains unknown. The main aim of this paper is to fill this gap. We conducted the present investigation using high-resolution spectra, archival photometry and GaiaGaia-DR3 data with the aim of characterizing the main properties of the cluster. We payed particular attention to the determination of the chemical abundances of a large number of elements that allow us to perform the proper chemical tagging of our target. The paper is structured as follows. We present our observations in Sect. 2 and explain the search performed to identify new (evolved) cluster members in Sect. 3. Then, in Sect. 4 we describe our spectral analysis and in Sect. 5 we study the cluster reddening. The investigation of the age is outlined in Sect. 6, while the discussion and comparison of our main results with the literature are presented in Sect. 7. Finally, we summarise our results and present the conclusions of this work in Sect. 8.

2 Observations

A fundamental step when studying a stellar cluster is to carefully choose a representative sample of members. In this work the target selection was performed before the publication of the GaiaGaia-DR2 catalogue. Therefore, as a starting point, we made use of the list of members identified by Platais (1994), the most comprehensive study focused on M 39 available in the literature. Then, we completed our target list taking advantage of the selection made by Cantat-Gaudin et al. (2018). As noted above, the cluster does not host any cool giants and, therefore, our sample consists of MS stars only. For this reason, we payed special attention to the brightest stars located in the upper MS and the turn-off point (TO) that can help us to constrain the cluster age.

2.1 Spectroscopy

The observations were conducted mainly in October 2017. High-resolution spectroscopy was taken for our targets by employing two different spectrographs, both located at El Roque de los Muchachos Observatory (La Palma, Spain). Most of the sources, 17, were observed with the High Accuracy Radial velocity Planet Searcher for the Northern hemisphere spectrograph (HARPS-N, Cosentino et al., 2014) while three other spectra were obtained with the Fibre-fed Echelle Spectrograph (FIES, Telting et al., 2014). HARPS-N is an échelle spectrograph fibre-fed from the Nasmyth B focus of the 3.6-m Telescopio Nazionale Galileo (TNG). It covers the wavelength range between 3900 and 6800 Å in 68 orders and provides a resolving power of RR=115 000. As regards FIES, it is mounted at the the 2.5-m Nordic Optical Telescope (NOT). It covers the spectral range 3700-9000 Å in 81 orders, being able to work at three different resolutions. We used the high-resolution mode, which provides a RR=67 000. Addtionally, three other spectra were taken with HARPS-N in 2020.

The spectra were acquired with exposures times (texpt_{\rm exp}) ranging from 300 to 7200 s, depending on the star brightness and sky conditions. To reduce the contamination of cosmic rays, we avoid taking exposures longer than 1800 s. A standard reduction of both sets of spectra was performed using the corresponding instrument pipeline. In total we collected 24 spectra for 20 different stars, which are listed in Table 1. Throughout this paper we follow the numbering assigned by Platais (1994) to identify our targets. The star UCAC4 683-104396, a bona fide member according to Cantat-Gaudin et al. (2018) observed in our last run, is out of the field surveyed by Platais (1994). For this reason we use “ucac” as a shorthand designation for this star.

Table 1: Observation log.
Stara Name Date texpt_{\rm exp} (s) S/Nb
HARPS-N
0305 TIC~64397736 2017-10-03 7200 46
0305 TIC~64397736 2020-08-02 6300 53
3004 BD+47 3440 2017-10-04 3600 40
3061 TYC 3594-834-1 2017-10-29 7200 92
3288 TIC~64983141 2017-12-05 7200 76
3311 BD+47 3442 2017-10-29 3600 105
3423 TYC 3594-678-1 2017-10-04 7200 92
3781 HD~205116 2017-10-29 600 126
3814 HD~205117 2017-10-29 1200 118
4265 HD~205198 2017-10-03 1200 155
4322 TIC 417208749 2017-10-28 7200 35
4438 TYC 3598-511-1 2017-10-28 7200 47
4673 BD+47 3462 2017-10-29 1800 71
5045 HD~205331 2017-10-29 1200 174
5609 TYC~3599-2886-1 2017-10-04 2400 55
5609 TYC~3599-2886-1 2017-10-28 1200 40
5729 BD+48 3423 2017-10-03 3600 161
6791 BD+47 3480 2017-10-29 3600 131
ucac UCAC4~683-104396 2020-09-08 4200 29
ucac UCAC4~683-104396 2020-11-24 2100 38
FIES
2451 HD~204917 2017-10-23 900 65
4294 HD~205210 2017-10-23 1200 100
7140 BD+47 3485 2017-10-22 300 85
7140 BD+47 3485 2017-10-24 300 60
  • a

    Designation from Platais (1994)

  • b

    Signal-to-noise ratio per pixel at 6500 Å.

2.2 Archival data

To complement our spectroscopic observations we resorted to archival data provided by some all-sky surveys. This information will be very useful later as it will allow us to study both the cluster members and the cluster itself. On the one hand, we used photometric data in the optical range from the APASS catalogue (Henden et al., 2016) and in the near-infrared wavelengths from the 2MASS (Skrutskie et al., 2006) and WISE (Cutri & et al., 2012) catalogues. On the other hand, we took advantage of the last data release, DR3, of the GaiaGaia mission (Gaia Collaboration et al., 2022). Tables 9 and 10 report the GaiaGaia-DR3 source identifier as well as the photometric and astrometric data for the stars observed in this work at the end of the paper.

3 Cluster membership

The disentangling of cluster members from field stars is not a trivial task. However, to succeed in the characterisation of the cluster, a correct identification of its members is essential. The arrival of a large amount of high-precision photometric and, specially, astrometric data from the GaiaGaia mission, has been of great help in simplifying this task.

Platais (1994) observed about 8000 stars in the field of M 39 and identified 511 likely members among them. His analysis was based on UBVUBV photometry and proper motions measured on photographic plates. As above mentioned, we selected our targets from this list. Specifically, we took 19 high-probability members, that is, with an assigned membership probability, PP\geq0.7, among the brightest.

Cantat-Gaudin et al. (2018) taking advantage of the GaiaGaia-DR2 identified 198 members, out of which 154 bona fide members (i.e. with PP\geq0.7) were found. Among our targets, 14 are also high-probability members according to them, while the remaining five stars, namely 3004, 3423, 4294, 5045, and 5609, are not considered by them as cluster members. In a second run, we observed the star ucac, a likely member reported in Cantat-Gaudin et al. (2018), out of the field studied by Platais (1994).

With the intention of finding new members, and specially some giant that allow us to improve the estimation of the cluster age when performing the isochrone fitting, we carried out a search around the nominal centre of the cluster. We took all the sources from the GaiaGaia-DR3 catalogue brighter than GG=18 within a radius of 250′around it. In total we collected \approx1 250 000 objects with a complete set of astrometric (i. e. μα\mu_{\alpha*}, μδ\mu_{\delta}, ϖ\varpi) and photometric (GG, GBPG_{\textrm{BP}}, GRPG_{\textrm{RP}}) parameters.

Cantat-Gaudin et al. (2018) placed M 39 in the astrometric space at (μα\mu_{\alpha*},μδ\mu_{\delta},ϖ\varpi) = (-7.477, -19.738, 3.337) ±\pm (0.381, 0.393, 0.090) (mas, mas a-1, mas a-1). When updating the GaiaGaia parameters from DR2 to DR3 for the members reported in that paper we noticed a non negligible dispersion in the astrometric data, but not in the photometric values (see Figs. 12 and 13). For this reason we decided to recalculate the cluster centre adopting the average DR3 values of their bona fide members. Thus, we now found the cluster at (μα\mu_{\alpha*},μδ\mu_{\delta},ϖ\varpi) = (-7.459, -19.839, 3.367) ±\pm (0.345, 0.419, 0.088), where the errors correspond to the standard deviation. Once we determined the cluster centre in the astrometric space, we adopted a radius around it of 3σ\sigma, 4σ\sigma and 5σ\sigma as a membership criterion to define three classes of members: type I (high-probability), type II (medium-probability) and type III (marginal membership), respectively. In this way, we identified 196, 48 and 27 likely members within these three radii, finding 147, 5 and 0 bona fide members from Cantat-Gaudin et al. (2018), respectively.

In a second step we refined our selection of members by means of photometry. We plotted the (GBPGRPG_{\textrm{BP}}-G_{\textrm{RP}})/GG diagram and rejected those objects (six in total) whose position on the diagram was discrepant, since they lied far away from the sequence of the cluster, that is clearly outlined. Finally, we also used the GaiaGaia RV to improve our member list. As a result, five other objects have been identified as outliers and, therefore, their membership has been ruled out (see Sect. 4.1). Our final member list is composed of 260 objects, out of which 195 are considered type I, 43 belong to type II and the remaining 22 are classified as type III members. The cluster probabilities for all our targets are listed in Table 9 and the colour-magnitude diagram is displayed in Fig. 1.

Refer to caption
Figure 1: GaiaGaia colour-magnitude diagram of M 39 displaying the members identified in this work. The colour indicates the membership class, as defined in the text.
Refer to caption
Figure 2: Proper motion diagram in the field of M 39. The extent of the cluster in the astrometric space is delimited by the ellipse, whose semiaxes correspond to five times the uncertainty of the mean μα\mu_{\alpha*}, μδ\mu_{\delta} values. Grey dots represent sources with GG\leq 16 mag within a radius of 250’ around the nominal cluster center.
Refer to caption
Figure 3: Sky region around M 39. The density map represents sources with GG\leq 16 mag within a radius of 250’ around the nominal cluster centre while the blue circles are the members identified in this work. A histogram showing the member distribution along each axis is also displayed.

We point out that the cluster is well defined in the astrometric space and contamination from field stars is low. We have expanded the member list provided by Cantat-Gaudin et al. (2018) by about 30%, but nevertheless we have not found any giants. According to our criterion we observed 17 high-probability members among our targets, while we had to reject the stars 3004, 3423 and 4294 as cluster members. Therefore, their parameters were not used in calculating the average values of the cluster.

By examining the spatial distribution of the members in the RA-DEC plane (Fig.3) we found the cluster centre by fitting a Gaussian to the histogram showing the projected distribution on each coordinate. In this way we put the cluster at α\alpha(J2000) = 21h 31m 23.4s, δ\delta(J2000) = 48 11\arcmin 35.3\arcsec, which is slightly displaced with respect to the estimate by Cantat-Gaudin et al. (2018), ours minus theirs, Δ(α,δ)\Delta(\alpha,\delta) = (-10.0s,-3.2\arcmin). Likewise, from the parallaxes of the members we derived the distance to the cluster. Firstly, we corrected the parallax zero-point offset for each star following the recommendations outlined by Lindegren et al. (2021). As a guide, we found that, on average, this correction was of -0.032 mas with respect to the published value. We then calculated the individual distances by inverting the corrected parallaxes and finally, the cluster value was obtained after fitting a Gaussian to the distribution of the member distances. We place the cluster at 294±\pm7 pc, where the error is the σ\sigma of the Gaussian.

4 Spectral Analysis

Before starting the spectral analysis, the telluric H2O lines at the Hα\alpha and Na i D2 wavelengths, as well as those of O2 at 6300 Å, were removed from the spectra. The same procedure described by Frasca et al. (2000) was followed. For this purpose we used telluric templates (spectra of hot, fast-rotating stars) acquired during the observing run.

4.1 Radial velocity

The first step of our analysis consists in measuring the heliocentric radial velocity (RV) of the observed objects. With this aim we cross-correlated the target spectra against synthetic templates by using the task fxcor of the IRAF222IRAF is distributed by the National Optical Astronomy Observatory, which is operated by the Association of the Universities for Research in Astronomy, Inc. (AURA), under cooperative agreement with the National Science Foundation. package.

Table 2: Radial velocities of the newly discovered SB2 systems.
Star HJD RV1 RV2
(2 400 000+) (km s-1) (km s-1)
3423 58029.9742 7.98±1.47-7.98\pm 1.47 2.09±0.69-2.09\pm 0.69
3781 58055.0448 24.95±0.55-24.95\pm 0.55 3.05±4.23-3.05\pm 4.23
3814 58055.0556 9.02±1.749.02\pm 1.74 76.50±9.63-76.50\pm 9.63

When examining the cross-correlation function (CCF), we note that stars 3423, 3781, and 3814 exhibit a double or a strongly asymmetric peak, which clearly suggests a binary nature (see Fig. 14). However, since we have a single spectrum for each of them in which the peaks are not fully resolved, we cannot provide orbital and stellar parameters but we can only classify them as likely double-lined spectroscopic binaries (SB2s) and provide the radial velocity of their primary (more luminous) and secondary components in Table 2. For the remaining stars, considered single for all purposes, the RVs are displayed in the last column of Table 3.

With the exception of the SB2 systems and 5609 (a fast rotator), most of the stars have an RV that ranges from -6 to -3 km s-1. We obtained a mean radial velocity for the cluster, RV=-5.46±\pm0.54. This weighted average has been calculated using as weight w=1/σRV2w=1/\sigma_{\rm RV}^{2}, where σRV\sigma_{\rm RV} is the RV error of each star. The weighted standard deviation has been used to estimate the uncertainty. We compared our result with the GaiaGaia RVs of our likely members, which were first identified based on astrometry and photometric criteria (Sect. 3). Among them, RV is provided for only 122 stars. We derived the cluster mean by fitting a Gaussian to the distribution of the individual values, obtaining RV=-6.1±\pm2.3 km s-1. We notice that our result shows strong agreement with GaiaGaia RVs. Additionally, based on these RVs, we rejected five objects as members since their values, within the errors, are beyond 5σ\sigma the cluster average (see Fig. 15). However, we cannot exclude that these stars are indeed binary systems and the discrepant RV, compared with the cluster mean, is the result of the orbital motion.

4.2 Atmospheric parameters

The stellar atmospheric parameters of our targets, i.e. effective temperature (TeffT_{\textrm{eff}}), surface gravity (log gg) and metallicity ([Fe/H]) have been determined by using the ROTFIT code (Frasca et al., 2006), tailored to our data, as already done in previous works (see e.g., Frasca et al., 2019; Alonso-Santiago et al., 2021). Additionally, ROTFIT also provides the projected rotational velocity (vsiniv\sin\,i) and the spectral type (SpT) for each star. ROTFIT works by performing a χ2\chi^{2} minimisation of the difference between the target spectrum and a grid of templates. This difference is evaluated in 28 spectral segments of 100 Å each from 4000 Å to 6800 Å. Then, the final parameters are calculated by averaging the results of the individual regions, weighting them according to the χ2\chi^{2} and the amount of spectral information contained in each segment. The grid of templates consists of ELODIE spectra (RR = 42 000) of real stars with well-known parameters. It is the same grid used by the Catania node within the GaiaGaia-ESO Survey (Smiljanic et al., 2014; Frasca et al., 2015). Since ROTFIT is optimised to analyse FGK-type stars, for the hottest targets we employed a different approach for which we used a grid of synthetic spectra computed as described in Sect. 4.3. For these stars we used the wings and cores of Balmer lines to determine TeffT_{\textrm{eff}} and log gg. The vsiniv\sin\,i was derived in a region around the Mg IIλ\lambda4481 line, while a solar metallicity was assumed as the rapid rotation of these sources makes very difficult to measure it. For more detailed information on our method, the reader is referred to Frasca et al. (2019). Results are summarized in Table 3. The metallicities reported in Table 3 have been refined by applying SYNTHE to our spectra (see Sect. 4.3) and adopting the [Fe/H] values derived with ROTFIT as a starting point. However, these values practically do not change within the errorbars.

Table 3: Stellar parameters derived for the stars observed in this work.
Star TeffT_{\textrm{eff}} (K) logg\log\,g [Fe/H] Sp T vsiniv\sin\,i (km s-1) RV (km s-1)
Members
0305 5783±\pm73 4.40±\pm0.13 0.03±\pm0.13 G2 V 3.8±\pm1.2 -5.34±\pm0.06
2451 10000±\pm400 4.00±\pm0.20 0.00 A0 V 110.0±\pm20.0 -3.15±\pm0.70
3061 6314±\pm147 3.88±\pm0.12 -0.40±\pm0.10 F8 V 37.7±\pm1.7 -6.07±\pm0.69
3288 5772±\pm65 4.29±\pm0.10 0.13±\pm0.12 G5 IV-V 4.3±\pm0.7 -5.77±\pm0.07
3311 7400±\pm160 4.20±\pm0.20 0.06±\pm0.11 A9 V 42.5±\pm1.3 -6.14±\pm0.23
4265 10100±\pm400 4.00±\pm0.20 0.00 A0 V 52.1±\pm2.3 -5.28±\pm0.64
4322 5782±\pm69 4.44±\pm0.11 0.03±\pm0.12 G2 V 7.5±\pm0.7 -5.87±\pm0.07
4438 6233±\pm138 3.89±\pm0.12 0.07±\pm0.17 F7 IV 26.4±\pm1.5 -6.63±\pm0.47
4673 8700±\pm500 4.00±\pm0.20 0.00 A3 V 128.4±\pm8.0 -3.16±\pm0.50
5045 9100±\pm200 3.50±\pm0.20 0.00 A1 V 51.4±\pm2.3 -3.31±\pm0.46
5609 7150±\pm150 4.30±\pm0.20 -0.12±\pm0.12 F0 V 142.4±\pm11.8 -10.94±\pm2.02
5729 8000±\pm400 4.00±\pm0.20 0.00 A6 V 190.0±\pm20.0 -5.99±\pm0.49
6791 8000±\pm400 4.00±\pm0.20 0.00 A6 V 122.6±\pm8.2 -5.68±\pm0.60
7140 9900±\pm400 4.00±\pm0.20 0.00 A0 V 75.0±\pm10.0 -4.10±\pm0.75
ucac 5783±\pm78 4.41±\pm0.12 0.06±\pm0.10 G1 V 6.1±\pm1.2 -4.78±\pm0.08
Non-members
3004 6921±\pm270 4.22±\pm0.15 0.08±\pm0.14 F2 V 25.7±\pm2.5 -5.73±\pm0.48
4294 10200±\pm350 4.00±\pm0.20 0.00 B9.5 V 110.0±\pm20.0 -2.10±\pm0.80
  • Solar metallicity has been adopted for the hottest stars of our sample, as explained in the text.

4.3 Chemical abundances

We calculated the elemental chemical abundances of our targets following the same procedure adopted in some of our previous works related to the SPA project (see, e.g., Frasca et al., 2019; Alonso-Santiago et al., 2021), which is based on the spectral synthesis technique (Catanzaro et al., 2011, 2013). In a first step we computed 1D local thermodynamic equilibrium (LTE) atmospheric models with the ATLAS9 code (Kurucz, 1993a, b), adopting the ROTFIT atmospheric parameters (Sect. 4.2). Then, we generated the corresponding synthetic spectra using SYNTHE as the radiative transfer code (Kurucz & Avrett, 1981). We compared the observed spectra with the synthetic ones (adequately broadened taking into account both the instrumental profile and the rotational one) in 39 spectral segments of 50 Å each between 4400 and 6800 Å. Finally, by minimising the χ2\chi^{2} of their differences, the chemical abundances are found. In this way, for those stars with TeffT_{\textrm{eff}}¡7500 K, nine in total, we investigated 21 elements with atomic number up to 56 namely, C, Na, Mg, Al, Si, S, Ca, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Sr, Y, Zr, and Ba. Individual abundances are listed according to the standard notation A(X)A(X)=log[n(X)/n(H)n(X)/n(H)]+12 in Table 11 and an example of the spectral synthesis is shown in Fig. 16. The cluster average composition, relative to solar abundances by Grevesse et al. (2007), is also reported in Table 4. For each element, it has been calculated by taking the the weighted average of the values for each star, using the individual errors as weights. The uncertainties express, in terms of standard deviation, the dispersion of stellar abundances around the cluster value.

We find that the cluster, on average, exhibits a solar-like composition, with a metallicity of [Fe/H]=++0.04±\pm0.08 dex. Only Na shows a significant subsolar abundance ([Na/Fe]=-0.25±0.13\pm 0.13). For the α\alpha-elements the weighted-mean ratio is [α\alpha/Fe]=++0.12±\pm0.10 dex, with S being overabundant with respect to the other elements ([S/Fe]=++0.30±\pm0.12). The Fe-peak elements show a solar ratio, [X/Fe]=++0.05±\pm0.10 dex, while the neutron-capture ones, especially Ba, have a supersolar value, [ss/Fe]=++0.28±\pm0.10 dex. As expected, a homogeneous chemical composition is observed among the cluster members, with the only exception of star 3061, which in general displays lower abundances (i.e. Fe and Ti, see Fig. 4). On the contrary, star 3004, which was discarded as a member (see Sect. 3), has a chemical composition compatible with that of the cluster.

Table 4: Average chemical composition of M 39, relative to solar abundances by Grevesse et al. (2007), derived in this work.
X [X/H] X [X/H]
C ++0.10 ±\pm 0.15 Mn ++0.10 ±\pm 0.10
Na -0.21 ±\pm 0.11 Fe ++0.04 ±\pm 0.08
Mg ++0.12 ±\pm 0.07 Co ++0.05 ±\pm 0.06
Al ++0.18 ±\pm 0.06 Ni ++0.00 ±\pm 0.05
Si ++0.07 ±\pm 0.09 Cu ++0.15 ±\pm 0.07
S ++0.34 ±\pm 0.09 Zn -0.03 ±\pm 0.19
Ca ++0.19 ±\pm 0.07 Sr ++0.32 ±\pm 0.08
Sc ++0.11 ±\pm 0.07 Y ++0.27 ±\pm 0.02
Ti ++0.11 ±\pm 0.15 Zr ++0.29 ±\pm 0.08
V ++0.22 ±\pm 0.05 Ba ++0.41 ±\pm 0.04
Cr ++0.15 ±\pm 0.04
Refer to caption
Figure 4: Comparison of the spectra of two cluster stars with similar stellar parameters in the region of Mg ib triplet. Star 4438 shows a chemical composition similar to that of other cluster members while star 3061 exhibits a somewhat lower value, which is also suggested by its shallower lines.

5 SED fitting and reddening

In order to evaluate how our observations are affected from interstellar extinction (AVA_{V}), we resorted to the spectral energy distribution (SED) fitting tool, as previously done in other works (Frasca et al., 2019; Alonso-Santiago et al., 2021). For each of our targets we fitted the corresponding SED with BT-Settl synthetic spectra (Allard, 2014). To build the SED, on the one hand we made use of publicy available optical and near-infrared photometric data. Specifically, we used the BVgriBVg^{\prime}r^{\prime}i^{\prime} (from the APASS catalogue, Henden et al., 2016), JHKSJHK_{\textrm{S}} (2MASS, Skrutskie et al., 2006) and W1W2W3W4W_{1}W_{2}W_{3}W_{4} bands (WISE, Cutri & et al., 2012). On the other hand, we adopted the atmospheric parameters (TeffT_{\textrm{eff}} and log gg) derived in Sect. 4.2 as well as the (corrected) GaiaGaia-DR3 parallax. The stellar radius (RR) and the AVA_{V} were set as free parameters. Their best values were obtained by χ2\chi^{2} minimisation. The errors on AVA_{V} and RR are found by the minimisation procedure considering the 1σ\sigma confidence level of the χ2\chi^{2} map, but we also took the error on the TeffT_{\textrm{eff}} into account. An example of this fitting is shown in Fig. 5.

Refer to caption
Figure 5: Top: SED fitting of the star 5609. Botton: χ2\chi^{2}-contour map of the fitting. The red line corresponds to the 1σ\sigma confidence level

The results of the SED fitting are reported in Table 5. Among the members analysed the AVA_{V} ranges from 0.00 to 0.38 mag, with an average of AVA_{V}=0.06±\pm0.10, where the error is the standard deviation. For most stars the reddening is on the cluster average with only star 7140 showing a slightly different value, 0.38 mag, the largest in the sample. If we recalculate the average without taking this star into account we obtain AVA_{V}=0.04±\pm0.05 mag, where the dispersion has decreased. This result indicates that extinction is negligible in the cluster field, in good agreement with the literature (Cantat-Gaudin et al., 2018, AV=0.0A_{V}=0.0 mag).

Table 5: Results of the SED fitting.
Star AVA_{V} (mag) RR (R) LL (L)
Members
0305 0.00±\pm0.05 0.92±\pm0.01 0.8±\pm0.1
2451 0.11±\pm0.07 3.56±\pm0.07 113.9±\pm18.2
3061 0.00±\pm0.03 1.24±\pm0.01 2.2±\pm0.2
3288 0.04±\pm0.07 0.80±\pm0.01 0.6±\pm0.1
3311 0.00±\pm0.08 1.47±\pm0.01 5.9±\pm0.5
4265 0.09±\pm0.07 2.49±\pm0.04 55.6±\pm8.8
4322 0.03±\pm0.07 0.93±\pm0.01 0.9±\pm0.1
4438 0.00±\pm0.01 1.24±\pm0.07 2.1±\pm0.3
4673 0.00±\pm0.03 1.89±\pm0.11 18.4±\pm4.7
5045 0.16±\pm0.12 5.10±\pm0.13 160.8±\pm14.4
5609 0.09±\pm0.10 1.58±\pm0.02 6.0±\pm0.5
5729 0.00±\pm0.01 1.87±\pm0.13 13.0±\pm3.1
6791 0.01±\pm0.16 1.64±\pm0.04 9.9±\pm2.0
7140 0.38±\pm0.11 1.62±\pm0.04 22.6±\pm3.6
ucac 0.06±\pm0.10 0.87±\pm0.01 0.8±\pm0.1
Non-members
3004 0.00±\pm0.03 1.49±\pm0.03 4.6±\pm0.7
4294 0.55±\pm0.13 6.10±\pm0.06 335.0±\pm46.7

6 Colour-magnitude diagrams

To investigate the cluster age, we resorted to the isochrone-fitting method. In a first step we used archival photometry to plot the colour-magnitude diagram (CMD) of the cluster, which is a snapshot of its evolutionary stage. Then, we looked for the age-dependent model, the isochrone, that best reproduced the position of the cluster members on the CMD. To compute the different isochrones we took advantage of the results previously obtained from spectroscopy, that is metallicity (Sect. 4.3) and reddening (Sect. 5).

We used three different photometric systems (Johnson, 2MASS and GaiaGaia) to construct the following diagrams: MVM_{V}/(BV)0(B-V)_{0}, MKSM_{K_{\textrm{S}}}/(JKS)0(J-K_{\textrm{S}})_{0} and MGM_{G}/(GBPGRP)0(G_{\textrm{BP}}-G_{\textrm{RP}})_{0}. In each of the diagrams the number of plotted members is different (111, 252 and 265, respectively) since photometric data is not always available for all of them. To convert apparent to absolute magnitudes we used the individual distance of each source. We calculated it as the inversion of the parallax, once it was corrected as explained above (Sect. 3).

In the two first CMDs the reddening was corrected individually for those stars observed in this work with the value previously derived, while for the remaining stars the mean cluster value was applied. In the GaiaGaia CMD we made use of the AGA_{G} and E(GBPGRP)E(G_{\textrm{BP}}-G_{\textrm{RP}}) published in the DR2. When comparing all the three CMDs we immediately realised that the brightest stars in the upper MS behaved anomalously in the MVM_{V}/(BV)0(B-V)_{0} diagram compared to the other two. This is due to the fact that these stars (with VV\approx7 mag) are likely saturated in the APASS photometry. In order to fix this issue we resorted to the ASCC2.5 catalogue (Kharchenko & Roeser, 2009), from which we took VV and (BVB-V) for six stars brighter than VV=8 after scaling both photometric datasets333We selected 25 members with good photometry in both catalogues in the range 7.5\leqVV\leq10.5, finding average differences (ASCC2.5 minus APASS) of ΔV\Delta\,V=0.009 and Δ(BV)\Delta\,(B-V)=-0.019.. The distribution of these stars on the CMD improved considerably after this correction, so that we decided to use these magnitudes (listed in Table 10 and displayed in Fig. 6) in this work.

Once the dereddened CMDs were built, we overplotted on them a set of isochrones of different ages to find the one that best reproduced the distribution of the cluster members and, thus, find the likely age for the cluster. We used PARSEC isochrones (Marigo et al., 2017) computed at the metallicity found in this work ([Fe/H]=0.040.04) in a wide range of ages (log τ\tau=8.2–8.9, which corresponds to ages from 160 to 780 Ma). We carefully examined by eye how well the isochrones (in steps Δ\Delta logτ\tau=0.01) fitted the CMDs. Since there are no giants we had to pay attention to the stars located at the upper part of the MS. We noted that the best-fitting isochrone is not exactly the same in all the diagrams, but perfectly compatible within the errors. From the optical CMD we find an age for the cluster of 460±\pm100 Ma, similar to that obtained from the infrared one, 400±\pm150 Ma. The errors represent the interval of isochrones that are capable of reproducing the CMD.

In the case of the GaiaGaia CMD, it is worth highlighting the role that reddening plays. As previously commented, we started taking the GaiaGaia data for the reddening and extinction. When available we used individual values, as we did in previous works. However, for the rest of members we estimated these two values by averaging those of the five nearest stars (using their distances as weights). Nevertheless, the average reddening that can be deduced for our members from the GaiaGaia DR3 catalogue, namely AGA_{G}=0.30±\pm0.23 and E(GBPGRP)E(G_{\textrm{BP}}-G_{\textrm{RP}})=0.20±\pm0.14, is quite different from the one calculated by us and exhibits a greater dispersion. When adopting it, the age of cluster becomes \approx300 Ma, somewhat younger than the age derived from the other CMDs. If we instead redden the isochrone with the AVA_{V} derived in this work, the dispersion of the stars along the MS decreases and the isochrones fit better the CMD. In this way, the cluster turns out to be of 420±\pm80, a value comprised between those derived from the other two CMDs. This difference between our extinction and that derived from GaiaGaia data could be explained by the known fact that GaiaGaia-DR3 tends to overestimate the extinction in areas of the sky where its value is very low (Andrae et al., 2023; Babusiaux et al., 2023; Fouesneau et al., 2023).

Finally, the definitive age of the cluster is obtained by averaging the estimates derived from each CMD, using the individual uncertainties as weights. The resulting value is 430±\pm110 Ma, which corresponds to a MSTO mass of around 2.8 M. As error we took the mean of each uncertainty. The CMDs, along with the best-fitting isochrones and their uncertainties, are shown in Fig. 6. This result agrees very well with that reported in Cantat-Gaudin et al. (2020).

Refer to caption
Figure 6: Colour-magnitude diagrams for M39 in three different photometric systems. Left: MVM_{V}/(BV)0(B-V)_{0}, photometric data from the APASS catalogue. Centre: MKSM_{K_{\textrm{S}}}/(JKS)0(J-K_{\textrm{S}})_{0} (2MASS). Right: MGM_{G}/(GBPGRP)0(G_{\textrm{BP}}-G_{\textrm{RP}})_{0} (GaiaGaia-DR3). The small black points are the members selected in this work and the orange circles mark those ones observed spectroscopically. The green lines and the shaded area are the best-fitting isochrones with the associated uncertainties. The age derived from each CMD is also shown.

7 Discussion

7.1 Radial and rotational velocities

M 39 was one of the nearby clusters containing FK dwarfs observed by Mermilliod et al. (2009). They derived radial and rotational velocities for 24 stars in the cluster field, out of which six stars are also included in our sample. Star 3423 is one of the targets in common in both studies, but in our spectrum it appears as an SB2, with two strongly blended peaks in the CCF, whose velocities are RV=17.98±1.47{}_{1}=-7.98\pm 1.47 km s-1 and RV=22.09±0.19{}_{2}=-2.09\pm 0.19 km s-1, with the former having a much larger width compared to the latter (see Fig. 14). Mermilliod et al. (2009) did report no binary signature for this star. This has likely arisen from having observed the system near to a conjunction. In fact, they measured an RV=-5.90±\pm0.73 km s-1, that, if considered as the RV of centre of mass of the system, is in good agreement with the mean of the RVs of the two components in our spectrum. For the remaining five objects both sets of measurements, RV and vsiniv\sin\,i, are in excellent agreement in both papers (see Table 6). In addition, the mean RV of the cluster calculated by Mermilliod et al. (2009) from 17 members, RV=-5.26±\pm0.30 km s-1, is fully compatible with that derived in this work.

Table 6: Radial and rotational velocities for the stars observed by Mermilliod et al. (2009) in common with this work (TW).
Star Me09 TW
RV vsiniv\sin\,i RV vsiniv\sin\,i
0305 -5.01±\pm0.27 6.3±\pm2.8 -5.34±\pm0.06 4.0±\pm0.9
3004 -6.91±\pm0.76 23.7±\pm2.5 -5.73±\pm0.48 25.7±\pm2.5
3061 -5.14±\pm0.90 40.0±\pm4.0 -6.07±\pm0.69 37.7±\pm1.7
3288 -5.76±\pm0.40 5.8±\pm2.1 -5.77±\pm0.07 4.3±\pm0.7
4322 -6.45±\pm0.22 4.9±\pm2.0 -5.87±\pm0.07 7.5±\pm0.7

7.2 Chromospheric emission and lithium abundance

A way of estimate the age of the stars that are forming the cluster, independent of the isochrone-fitting method, is the evaluation of the level of magnetic activity (e.g., the emission in the cores of lines formed in the chromosphere) and the abundance of Li present in their atmospheres. This is valid for stars cooler than \approx 6500 K and ages between a few ten and a few hundred Ma (see Jeffries, 2014; Frasca et al., 2018, and references therein).

In order to perform this task we applied the subtraction technique. It consists in subtracting the spectrum of a pertinent template from that of the target to measure the excess emission in the chromospheric lines and the equivalent width of the Li Iλ\lambda 6708 Å\AA absorption line (EWLiEW_{\textrm{Li}}). An example of this procedure is shown in Fig. 9. As templates we used the spectra of non-active and lithium-poor stars, Doppler-shifted and rotationally broadened by ROTFIT. As diagnostics of activity we used the Balmer Hα\alpha line and the Ca ii H&\&K lines. The latter lines are located in the bluest part of the spectra where the S/N is very low, but degrading the spectra resolution from 115,000 to that of ELODIE (R=42,000R=42,000) allowed us to improve the S/N and apply the spectral subtraction. For the Ca ii lines, the photospheric templates are made with synthetic BT-Settl spectra (Allard, 2014) as we did in Frasca et al. (2023a), because they are best suited to reproduce the photospheric spectrum without any chromospheric contribution compared to the low-activity real stars. Indeed, for the latter a small line emission or filling is very often present in the cores of the Ca ii H&K lines.

From the atmospheric parameters and the EWLiEW_{\textrm{Li}} we estimated the lithium abundance, AA(Li), by interpolating the curves of growth of Soderblom et al. (1993), calculated in the TeffT_{\textrm{eff}} range 4000–6500 K. The lithium abundance is reported in Table 7 and is plotted versus TeffT_{\rm eff} in Fig. 7. The upper envelopes of four young clusters, namely the Hyades (650 Ma), NGC 6475 (300 Ma), the Pleiades (125 Ma), and IC 2602 (30 Ma), adapted from Sestito & Randich (2005), are overlaid with different colors. All the solar-type members display values of AA(Li) compatible with an age greater than 300 Ma.

Refer to caption
Figure 7: Lithium abundance as a function of TeffT_{\rm eff} for the solar-type members (TeffT_{\rm eff}<<6500 K). The upper envelopes of AA(Li) for four young clusters adapted from Sestito & Randich (2005) are overplotted.
Table 7: Li Iλ\lambda 6708 Å\AA equivalent width and abundance for the cool stars observed in this work.
Star TeffT_{\textrm{eff}} EWLiEW_{\textrm{Li}} AA(Li)
(K) (mÅ\AA)
0305 5783±\pm73 100±\pm10 2.68±\pm0.13
3004 6921±\pm270 29±\pm9 2.63±\pm0.14
3061 6314±\pm147 31±\pm9 2.52±\pm0.25
3288 5772±\pm65 69±\pm11 2.44±\pm0.15
3311 7088±\pm160 28±\pm6 2.60±\pm0.11
4322 5782±\pm69 57±\pm11 2.35±\pm0.17
4438 6233±\pm138 50±\pm8 2.67±\pm0.19
5609 7029±\pm167 4±\pm4 ¡ 2.03
ucac 5783±\pm78 90±\pm7 2.60±\pm0.12
  • TeffT_{\textrm{eff}} ¿ 6500 K. AA(Li) extrapolated from the Soderblom et al. (1993) tables.

To estimate the age of the cluster from the content of photospheric lithium, we also uses the EAGLES code (Jeffries et al., 2023), as we did in Frasca et al. (2023b). This code, based on an empirical model, is very suitable for a cluster since it determines the age probability distribution for the ensemble from the TeffT_{\textrm{eff}} and EWLiEW_{\textrm{Li}} of its members. In the present case, we obtained an age for M 39 of τ\tau=570190+270{}^{+270}_{-190} Ma (see Fig. 8). This value is greater than the one obtained with the fitting-isochrone method, but compatible within the errors. In any case, the age uncertainty is larger than one could expect, mainly due to the data scatter and the poor TeffT_{\rm eff} distribution of the targets, and it does not allow us to provide us with a good age constraint.

Refer to caption
Figure 8: Fit to the Li depletion pattern of the cool members of M 39 made with the EAGLES code.
Refer to caption
Refer to caption
Figure 9: Spectral subtraction for the star 0305 in the Li iλ\lambda6708 Å, Hα\alpha, and Ca ii H&K lines (from top to bottom).

The excess Hα\alpha equivalent width, EWHαemEW_{\rm H\alpha}^{em}, has been obtained by integrating the Hα\alpha emission profile, resulting by the subtraction of the photospheric template, which is highlighted by the green hatched area in the difference spectra of Fig. 9. Similarly, the difference between the observed and template spectrum in the Ca ii region leaves emission excesses in the cores of the H and K lines, whose integration provide the equivalent widths, EWCaIIHEW_{\rm CaII-H} and EWCaIIKEW_{\rm CaII-K}. More effective indicators of chromospheric activity are the chromospheric line fluxes at the stellar surface, FlineF_{\rm line}, and the luminosity ratios, Rline=Fline/FbolR^{\prime}_{\rm line}=F_{\rm line}/F_{\rm bol}, where Fbol=σTeff4F_{\rm bol}=\sigma T_{\rm eff}^{4} is the bolometric flux. For the Ca ii K, the line flux can be calculated as

FCaIIK=F3933EWCaIIK,F_{\rm CaII-K}=F_{3933}EW_{\rm CaII-K}, (1)

where F3933F_{3933} is the flux at the continuum at the center of the Ca ii-K line per unit stellar surface area, which is evaluated from the BT-Settl spectra (Allard, 2014) at the stellar temperature and surface gravity of the target. The flux error include the error in the equivalent width and the uncertainty in the continuum flux at the line center, which is estimated propagating the errors of TeffT_{\rm eff} and logg\log g.

We computed surface fluxes for the other chromospheric diagnostics in the same way as for the Ca ii-K line. The EWs, fluxes, and luminosity ratios are reported in Table 8 for the solar-type stars (TeffT_{\rm eff}<6500<6500 K).

We used the age–activity relation proposed by Mamajek & Hillenbrand (2008) to estimate the age of M 39. From their Eq. 3 and our values of RHKR^{\prime}_{\rm HK}, which are reported in Table 8, we estimate an age of 250±\pm150 Ma, which is smaller than the values derived from both the CMD and lithium isochrones, but marginally compatible with them if we consider the large age errors.

Table 8: Hα\alpha and Ca ii H & K equivalent widths and fluxes.
Star EWHαEW_{\rm H\alpha} FHαF_{\rm H\alpha} RHαR^{\prime}_{\rm H\alpha} EWCaIIKEW_{\rm CaII-K} EWCaIIHEW_{\rm CaII-H} FCaIIKF_{\rm CaII-K} FCaIIHF_{\rm CaII-H} RHKR^{\prime}_{\rm HK}
(mÅ) (10510^{5}erg cm-2s-1) (mÅ) (mÅ) (10510^{5}erg cm-2s-1) (10510^{5}erg cm-2s-1)
0305 126±\pm21 9.2±\pm1.6 -4.84 262±\pm88 213±\pm83 15.0±\pm5.3 12.2±\pm4.9 -4.37
3061 59±\pm15 5.9±\pm1.6 -5.18 157±\pm40 110±\pm44 18.7±\pm5.9 13.2±\pm5.8 -4.45
3288 111±\pm22 8.2±\pm1.7 -4.88 410±\pm226 194±\pm226 23.1±\pm12.9 11.0±\pm12.8 -4.27
4322 200±\pm34 14.9±\pm2.6 -4.63 331±\pm130 225±\pm167 18.9±\pm7.6 12.8±\pm9.6 -4.30
4438 96±\pm14 9.4±\pm1.6 -4.96 207±\pm60 181±\pm81 22.4±\pm7.5 19.6±\pm9.4 -4.31
ucac 146±\pm22 10.7±\pm1.7 -4.77 256±\pm101 230±\pm115 14.7±\pm6.0 13.1±\pm6.7 -4.37

7.3 Galactic metallicity gradient

Open clusters are known to be among the best tracers of the radial distribution of metallicity in the Galaxy, the so-called Galactic gradient. With the aim of evaluating how the metallicity obtained in this work for M 39 compares with this gradient, we searched for a sample of homogeneously analysed clusters from the literature. We gathered the metallicity derived with high-resolution spectroscopy within the framework of the GaiaGaia-ESO (Randich et al., 2022) and the OCCAM (APOGEE-DR17, Myers et al., 2022) surveys. Additionally, clusters targeted in the SPA project (Frasca et al., 2019; D’Orazi et al., 2020; Casali et al., 2020; Zhang et al., 2021; Alonso-Santiago et al., 2021) and some other young open clusters studied by our group complete the sample (Alonso-Santiago et al., 2017, 2018, 2019, 2020). In total we collected a sample containing nearly two hundreds clusters at Galactocentric distances, RGCR_{\textrm{GC}}, up to 16 kpc. The position of M 39 on this gradient is shown in Fig. 10. The metallicity, as the abundance of iron, was referenced to AA(Fe)=7.45 (Grevesse et al., 2007). Galactocentric distances were taken from Cantat-Gaudin et al. (2020), who calculated them from GaiaGaia-DR2 astrometry and taking as a reference a solar value of RR_{\odot}=8.34 kpc. As can be seen, the metallicity derived in this work is compatible with that expected for the cluster location.

Refer to caption
Figure 10: Radial metallicity gradient from open clusters studied in the framework of the GaiaGaia-ESO and OCCAM Surveys, the SPA project and some other clusters analysed by Alonso-Santiago. Black lines link results for the same cluster provided by different authors. The star represents the metallicity found in this work for M 39.

7.4 Chemical composition and Galactic trends

As commented before (see Sect. 1) this work provides for the first time chemical abundances for M 39. Thus, due to the lack of specific literature with which to compare our results, we resorted to the chemical trends displayed by Galactic open clusters. We used the same sample previously employed when discussing about the Galactic gradient but in this case, chemical abundances for the GES (iDR6) and SPA clusters are taken from Magrini et al. (2023) and Zhang et al. (2022) respectively, since Randich et al. (2022) and Zhang et al. (2021) only provided metallicity values. We compared the chemical composition of M 39 with that of the other open clusters collected in our sample. Figure 11 shows the ratios [X/Fe] versus [Fe/H] for 16 chemical elements (scaled to the solar abundances listed in Grevesse et al., 2007). The abundances of M 39 are in a great agreement with the trends outlined by so many other open clusters collected in our sample and, therefore, we conclude that its chemical composition is fully compatible with that of the Galactic thin disc. All the elements are on the trends or sligthly above them. Only Na, the sole element in sample with a clearly subsolar abundance, and S are located further away from the bulk of the rest of the clusters, but always in a compatible place.

Refer to caption
Figure 11: Abundance ratios [X/Fe] vs. [Fe/H]. Symbols and colours are the same as in Fig. 10. The dashed lines show the solar value.

8 Summary and conclusions

We conducted this research with the idea of adding one more tile to the mosaic of Galactic Archaeology that will help us improve our knowledge about the formation and evolution of the Milky Way. We focused on M 39, a nearby young open cluster little-studied in recent years, whose chemical composition was so far unknown. We performed high-resolution spectroscopy with the HARPS-N and FIES spectrographs for 20 likely cluster members that were supplemented with archival photometry and GaiaGaia-DR3 data.

According to the literature, M 39 is formed only by MS stars. In order to find any giant that belongs to the cluster we searched for new members. We recalculated the members identified by Cantat-Gaudin et al. (2018) taking advantage of the latest GaiaGaia-DR3 astrometry. We expand their list, finding 260 likely members within a radius of 250\arcmin around the nominal cluster centre. Among them, no evolved stars have been found. By examining the spatial distribution of the members we infer a distance to the cluster of 300 pc.

We find three SB2s in our sample. For the remaining stars, we derived their radial and projected rotational velocities and estimated the extinction and their atmospheric parameters. Additionally, for the coolest stars, nine in total, we carried out the chemical analysis, providing abundances for 21 elements. We do not find a significant reddening along the cluster field and estimate a mean RV of -5.5±\pm0.5 km s-1. By fitting isochrones on three different CMDs we find an age for the cluster of 430±\pm110 Ma, which is consistent with the content of Li and chromospheric activity found among the members.

M 39 shows a solar-like metallicity, [Fe/H]=++0.04±\pm0.08 dex, which is consistent with that expected for its Galactocentric distance. We performed the first detailed study of the chemical composition of the cluster to date. We determined the abundances of C, odd-Z elements (Na, Al), α\alpha-elements (Mg, Si, S, Ca, Ti), Fe-peak elements (Sc, V, Cr, Mn, Co, Ni, Cu, Zn) and ss-elements (Sr, Y, Zr, Ba). The cluster stars have a chemical composition similar to that of the Sun. Only Na shows a lower abundance, while S and the heaviest elements, specially Ba, display higher values. Its ratios [X/Fe] are on the Galactic trends displayed by the large sample of open clusters studied in surveys such as the GaiaGaia-ESO, OCCAM or SPA. The cluster shows solar-like mean ratios for α\alpha ([α\alpha/Fe]=++0.12±\pm0.10 dex and Fe-peak elements ([X/Fe]=++0.05±\pm0.10 dex), while for the neutron-capture elements the ratio is slightly overabundant ([ss/Fe]=++0.28±\pm0.10 dex). Finally, we conclude our research by claiming that the chemical composition of M 39 is fully compatible with that of the Galactic thin disc.

Acknowledgements

Based on observations made with the Italian Telescopio Nazionale Galileo (TNG) operated on the island of La Palma by the Fundación Galileo Galilei of the INAF (Istituto Nazionale di Astrofisica) at the Observatorio del Roque de los Muchachos.

This research is also partially 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.

The research leading to these results has received funding from the European Union Seventh Framework Programme (F7/2007-2013) under grant agreement No. 312430 (OPTICON).

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Appendix A Additional materials

Table 9: GaiaGaia DR3 astrometric data and cluster membership, according to Platais (1994, PPl) and Cantat-Gaudin et al. (2018, PCG), for all stars observed spectroscopically in this work (PTW).
Star GaiaGaia-DR3 ID RA DEC r PPl PCG PTW ϖ\varpi μα\mu_{\alpha*} μδ\mu_{\delta}
(J2000) (J2000) (\arcmin) (mas) (mas a-1) (mas a-1)
Members
0305 1978587946054581760 321.881658501 48.322025012 40.5 0.72 1.0 I 3.397 -7.488 -20.357
2451 1978555647899068544 322.578899973 48.390844737 15.1 0.97 0.9 I 3.367 -7.856 -19.652
3061 1978556644336044416 322.725446694 48.427086634 12.6 0.70 1.0 I 3.328 -7.537 -19.258
3288 1978699683923650688 322.782240751 48.644378692 24.2 0.77 1.0 I 3.432 -7.362 -20.054
3311 1978533142270627328 322.793918577 48.070524115 11.3 0.98 1.0 I 3.415 -7.497 -19.837
3781 1978652748518359808 322.926601311 48.584617826 20.3 0.97 1.0 I 3.324 -7.769 -19.771
3814 1978647762043764608 322.936042739 48.484353871 14.4 0.98 0.7 I 3.308 -8.004 -19.684
4265 1978656218831726848 323.061071758 48.639501413 24.5 0.97 1.0 I 3.291 -7.428 -19.568
4322 1978628593621993088 323.081133228 48.200479032 8.2 0.75 1.0 I 3.332 -7.743 -20.166
4438 1978740434565656320 323.114228026 49.181066745 56.7 0.78 1.0 I 3.340 -7.476 -19.720
4673 1978641856481498752 323.179813508 48.483167010 18.3 0.98 1.0 I 3.380 -7.614 -19.973
5045 1978443325910675712 323.292127855 48.303406860 16.5 0.98 I 3.325 -8.080 -19.576
5609 1978742908476235776 323.448921752 49.160993150 59.2 0.42 I 3.154 -7.165 -19.645
5729 1978743355145551104 323.486420337 49.196906735 61.7 0.70 1.0 I 3.308 -7.333 -19.552
6791 1978460471421230848 323.805577079 48.437269774 38.3 0.97 1.0 I 3.413 -7.613 -20.013
7140 1978404499404948096 323.948575257 48.108247352 43.2 0.96 1.0 I 3.363 -7.719 -19.540
ucac 1972328941741362944 320.502548884 46.489037684 143.3 1.0 I 3.234 -7.011 -19.731
Non-members
3004 1978557640768446464 322.710204334 48.483127406 15.9 0.95 3.112 -7.358 -16.743
3423 1978652508006151296 322.825494272 48.623094206 22.7 0.72 3.050 -6.599 -22.305
4294 1978636290203508608 323.071129883 48.443836401 13.9 0.96 3.056 -5.833 -22.329
Table 10: Photometry for stars observed spectroscopically in this work.
Star VaV^{a} (BV)a(B-V)^{a} JbJ^{b} HbH^{b} KSbK_{\textrm{S}}^{b} GcG^{c} (GBPGRP)c(G_{\textrm{BP}}-G_{\textrm{RP}})^{c} E(GBPGRP)cE(G_{\textrm{BP}}-G_{\textrm{RP}})^{c} AGcA_{G}^{c}
Members
0305 12.359 0.654 11.178 10.854 10.813 12.231 0.836 0.000 0.002
2451 7.318 0.121 7.312 7.353 7.351 7.358 -0.023 0.041 0.076
3061 11.256 0.466 10.329 10.141 10.097 11.141 0.620 0.001 0.001
3288 12.698 0.751 11.474 11.144 11.075 12.602 0.889 0.023 0.042
3311 10.168 0.296 9.587 9.524 9.468 10.110 0.396 0.032 0.060
3781 6.961 0.139 6.826 6.846 6.890 6.831 -0.036 0.051 0.096
3814 7.630 0.057 7.663 7.608 7.668 7.663 -0.004 0.040 0.075
4265 8.228 0.029 8.104 8.084 8.107 8.252 0.056 0.132 0.247
4322 12.403 0.646 11.193 10.866 10.826 12.249 0.832 0.001 0.001
4438 11.447 0.535 10.503 10.288 10.223 11.329 0.651 0.003 0.005
4673 9.008 0.082 8.874 8.898 8.875 9.035 0.088 0.110 0.206
5045 6.691 0.195 6.697 6.778 6.728 6.840 0.012 0.048 0.091
5609 10.460 0.308 9.713 9.567 9.521 10.343 0.477 0.016 0.029
5729 9.356 0.176 9.041 8.997 8.993 9.369 0.204 0.032 0.060
6791 9.565 0.286 9.267 9.142 9.181 9.562 0.220
7140 9.392 0.355 9.150 9.132 9.072 9.405 0.179 0.022 0.041
ucac 12.649 0.633 11.403 11.098 11.010 12.480 0.847 0.058 0.108
Non-members
3004 10.428 0.354 9.927 9.793 9.746 10.526 0.466 0.024 0.045
3423 10.932 0.508 10.013 9.673 9.674 10.813 0.668 0.001 0.003
4294 6.813 0.207 6.478 6.470 6.513 6.573 0.018

Notes. a From the APASS catalogue (Henden et al. 2016). b From the 2MASS catalogue (Skrutskie et al. 2006). c From the GaiaGaia-DR3 catalogue (Gaia Collaboration et al. 2022). Scaled from the VV and (BV)(B-V) values of Kharchenko & Roeser (2009) and the relation proposed in the present work.

Refer to caption
Figure 12: Astrometric data for the cluster members identified by Cantat-Gaudin et al. (2018) in GaiaGaia-DR2 and GaiaGaia-DR3. The lightest colour in each panel represents the stars observed in this work. For each parameter the mean difference (DR3-DR2) and its dispersion are indicated in the upper left part of the plots.
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Figure 13: The same as in Fig. 12 but with the photometric values.
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Figure 14: Cross-correlation functions (CCFs) for the three newly discovered spectroscopic binaries. In each box, the CCF is depicted with a full black line. The two-Gaussian fit is over-plotted with a dotted green line, while the Gaussians reproducing the primary (more luminous) and secondary components are plotted with dashed blue and red lines, respectively.
Refer to caption
Figure 15: Distribution of the GaiaGaia RV for the likely candidate members selected on the basis of the astrometric and photometric criteria explained in the text (blue histogram). The average RV for the cluster, found by the Gaussian fitting (solid black line), peaks at -6.1±\pm2.3 km s-1. This value agrees closely with the RV obtained from the stars observed spectroscopically in this work (red line for the average value and orange lines for its uncertainty). The 5σ\sigma boundary is marked by dashed lines. The five objects that lie outside this boundary, taking into account their errors, have been represented with a green histogram and are considered non-members.
Table 11: Chemical abundances, expressed as A(X)A(X)=log[n(X)/n(H)n(X)/n(H)]+12, for the cool stars observed in this work.
X 0305 3004 3061 3288 3311 4322 4438 5609 ucac
C 8.52±\pm0.10 8.78±\pm0.12 8.70±\pm0.09 8.49±\pm0.12 8.26±\pm0.15 8.31±\pm0.11 8.49±\pm0.10 8.53±\pm0.07 8.70±\pm0.14
Na 5.93±\pm0.10 6.02±\pm0.10 5.70±\pm0.10 6.04±\pm0.09 5.73±\pm0.14 5.90±\pm0.10 6.00±\pm0.13 6.06±\pm0.12 5.99±\pm0.15
Mg 7.56±\pm0.10 7.61±\pm0.10 7.63±\pm0.10 7.69±\pm0.10 7.63±\pm0.15 7.62±\pm0.10 7.72±\pm0.15 7.77±\pm0.20 7.67±\pm0.10
Al 6.53±\pm0.10 6.61±\pm0.15 6.32±\pm0.10 6.59±\pm0.10 6.47±\pm0.10 6.60±\pm0.10 6.54±\pm0.09 6.50±\pm0.12 6.62±\pm0.10
Si 7.39±\pm0.12 7.85±\pm0.11 7.39±\pm0.08 7.53±\pm0.10 7.62±\pm0.10 7.68±\pm0.11 7.63±\pm0.09 7.59±\pm0.10 7.54±\pm0.12
S 7.37±\pm0.11 7.57±\pm0.14 7.22±\pm0.11 7.54±\pm0.10 7.45±\pm0.09 7.48±\pm0.10 7.41±\pm0.07 7.54±\pm0.07 7.61±\pm0.10
Ca 6.62±\pm0.10 6.64±\pm0.05 6.35±\pm0.11 6.63±\pm0.08 6.44±\pm0.03 6.51±\pm0.11 6.53±\pm0.09 6.59±\pm0.09 6.61±\pm0.08
Sc 3.28±\pm0.09 3.49±\pm0.12 3.36±\pm0.05 3.36±\pm0.10 3.17±\pm0.07 3.28±\pm0.10 3.39±\pm0.10 3.29±\pm0.09 3.33±\pm0.10
Ti 4.93±\pm0.12 5.21±\pm0.10 4.63±\pm0.13 5.00±\pm0.09 5.17±\pm0.09 4.81±\pm0.11 5.02±\pm0.08 5.18±\pm0.10 4.83±\pm0.10
V 4.13±\pm0.08 4.30±\pm0.10 4.15±\pm0.17 4.23±\pm0.08 4.27±\pm0.04 4.17±\pm0.05 4.22±\pm0.10 4.23±\pm0.10 4.24±\pm0.09
Cr 5.79±\pm0.04 5.89±\pm0.10 5.57±\pm0.13 5.86±\pm0.10 5.80±\pm0.06 5.78±\pm0.04 5.79±\pm0.11 5.75±\pm0.08 5.84±\pm0.10
Mn 5.48±\pm0.10 5.65±\pm0.10 5.43±\pm0.10 5.59±\pm0.10 5.35±\pm0.05 5.49±\pm0.12 5.58±\pm0.06 5.62±\pm0.10 5.59±\pm0.10
Fe 7.48±\pm0.13 7.53±\pm0.14 7.05±\pm0.10 7.58±\pm0.12 7.51±\pm0.11 7.48±\pm0.12 7.52±\pm0.17 7.33±\pm0.12 7.51±\pm0.10
Co 4.86±\pm0.14 5.25±\pm0.10 4.76±\pm0.13 4.98±\pm0.12 4.95±\pm0.18 4.91±\pm0.10 4.97±\pm0.10 5.07±\pm0.10 4.97±\pm0.10
Ni 6.16±\pm0.12 6.39±\pm0.05 6.06±\pm0.12 6.24±\pm0.11 6.26±\pm0.09 6.16±\pm0.13 6.25±\pm0.13 6.28±\pm0.10 6.21±\pm0.11
Cu 4.34±\pm0.10 4.48±\pm0.10 4.21±\pm0.10 4.36±\pm0.10 4.36±\pm0.10 4.27±\pm0.10 4.33±\pm0.10 4.50±\pm0.10 4.34±\pm0.10
Zn 4.28±\pm0.18 4.80±\pm0.10 5.00±\pm0.20 4.55±\pm0.10 4.76±\pm0.30 4.35±\pm0.10 4.72±\pm0.10 4.72±\pm0.10 4.60±\pm0.10
Sr 3.30±\pm0.09 3.30±\pm0.10 3.24±\pm0.10 3.33±\pm0.10 3.11±\pm0.08 3.32±\pm0.10 3.21±\pm0.10 3.20±\pm0.10 3.29±\pm0.15
Y 2.47±\pm0.08 2.46±\pm0.10 2.39±\pm0.10 2.48±\pm0.10 2.50±\pm0.09 2.50±\pm0.11 2.46±\pm0.10 2.46±\pm0.12 2.50±\pm0.10
Zr 2.93±\pm0.10 2.93±\pm0.25 2.75±\pm0.10 2.90±\pm0.10 2.74±\pm0.13 2.91±\pm0.10 2.85±\pm0.10 2.80±\pm0.07 2.97±\pm0.10
Ba 2.60±\pm0.06 2.93±\pm0.10 2.35±\pm0.09 2.63±\pm0.08 2.63±\pm0.17 2.52±\pm0.10 2.54±\pm0.10 2.58±\pm0.14 2.55±\pm0.08
  • Non-member.

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Figure 16: Example of spectral synthesis for the stars in our sample with lower vsiniv\sin\,i. The two most intense spectral features in this range (5680–5700 Å) correspond to Na I lines, the abundance of which is shown.