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THE ORIGIN OF THE SPURIOUS IRON SPREAD IN THE GLOBULAR CLUSTER NGC 3201*

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Published 2015 March 4 © 2015. The American Astronomical Society. All rights reserved.
, , Citation A. Mucciarelli et al 2015 ApJ 801 69 DOI 10.1088/0004-637X/801/1/69

0004-637X/801/1/69

ABSTRACT

NGC 3201 is a globular cluster suspected to have an intrinsic spread in the iron content. We re-analyzed a sample of 21 cluster stars observed with UVES–FLAMES at the Very Large Telescope and for which Simmerer et al. found a 0.4 dex wide [Fe/H] distribution with a metal-poor tail. We confirmed that when spectroscopic gravities are adopted, the derived [Fe/H] distribution spans ∼0.4 dex. On the other hand, when photometric gravities are used, the metallicity distribution from Fe i lines remains large, while that derived from Fe ii lines is narrow and compatible with no iron spread. We demonstrate that the metal-poor component claimed by Simmerer et al. is composed by asymptotic giant branch stars that could be affected by non-local thermodynamical equilibrium effects driven by iron overionization. This leads to a decrease of the Fe i abundance, while leaving the Fe ii abundance unaltered. A similar finding has been already found in asymptotic giant branch stars of the globular clusters M5 and 47 Tucanae. We conclude that NGC 3201 is a normal cluster, with no evidence of intrinsic iron spread.

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1. INTRODUCTION

The striking homogeneity in terms of iron abundance is usually considered as the main chemical signature of globular clusters (GCs), indicating that these stellar systems were not able to retain the gas ejected by supernova (SN) explosions (see, e.g., Renzini & Buzzoni 1986; Willman & Strader 2012). For four decades, only one GC-like system, namely ω Centauri, was known to display an intrinsic dispersion in Fe (see, e.g., Freeman & Rodgers 1975; Norris & Da Costa 1995; Origlia et al. 2003; Johnson & Pilachowski 2010; Pancino et al. 2011) and this evidence brought to classify the system as the remnant core of a tidally disrupted dwarf galaxy accreted by the Milky Way. In the last few years, deep and extensive spectroscopic and photometric investigations have revealed a more complex picture, with the discovery of other (massive) GCs harboring distinct subpopulations with different iron abundance, as Terzan 5 (Ferraro et al. 2009; Origlia et al. 2011, 2013; Massari et al. 2014) and M2 (Yong et al. 2014), or with large but uni-modal iron distributions, as M54 (Carretta et al. 2010a) and M22 (Marino et al. 2009). Further suggestions of intrinsic iron spread are only tentative at the moment, either because based on Ca ii lines (NGC 5824; Da Costa et al. 2014) or because of still disputed results (NGC 1851; Carretta et al. 2010b; Villanova et al. 2010).

Among these candidate anomalous GCs, the case of NGC 3201 is controversial because different analyses provide conflicting results about its level of iron homogeneity. Gonzalez & Wallerstein (1998) first analyzed a sample of CTIO high-resolution spectra of 18 cluster stars, finding large iron variations (Δ[Fe/H] ∼ 0.4 dex). However, an evident trend between [Fe/H] and the effective temperature casts doubts about the reliability of their [Fe/H] distribution. The re-analysis of six of their targets performed by Covey et al. (2003) does not provide additional clues.

Further analyses by Carretta et al. (2009) and Munoz et al. (2013) based on high-resolution, high signal-to-noise ratio (S/N) spectra (FLAMES@VLT and MIKE@Magellan, respectively), do not highlight similar spreads, ruling out large star-to-star variations. On the other hand, Simmerer et al. (2013) analyzed UVES@FLAMES and MIKE@Magellan high-resolution spectra of 24 giant stars of the cluster, revealing a metallicity distribution as large as 0.4 dex (not explainable within the uncertainties) and with an evident metal-poor tail (5 out of 24 stars). This iron spread, qualitatively similar to that observed in M22 (Marino et al. 2009), would make NGC 3201 the least massive GC (∼1.1 × 105M; McLaughlin & van der Marel 2005) with evidence of SN ejecta retention.

Recently, Lapenna et al. (2014) discovered effects due to the departure from non-local thermodynamical equilibrium (NLTE) in a sample of asymptotic giant branch (AGB) stars in the GC 47 Tucanae. Such NLTE effects affect the abundances derived from Fe i lines (bringing to an underestimate of 0.1–0.2 dex in [Fe/H]), but leave the abundances from Fe ii lines unaltered. On the other hand, red giant branch (RGB) stars do not exhibit similar effects and the abundances from Fe i and Fe ii nicely match each other.

Based on this finding, it is well reasonable to ask whether the star-to-star scatter measured in the Fe content of NGC 3201 is genuine or if it is due to such a spurious effect, because of the inclusion in the sample of some AGB stars. Note that the NLTE effects can be easily unveiled by comparing the abundances derived from Fe i and Fe ii separately.

In this paper we re-analyze the spectra of the stars discussed in Simmerer et al. (2013) in light of the finding by Lapenna et al. (2014). We limit the analysis to the UVES–FLAMES sample, including also the five stars populating the metal-poor tail of the Simmerer et al. (2013) distribution.

2. OBSERVATIONS

High-resolution spectra taken with UVES–FLAMES@VLT (Pasquini et al. 2000) for 21 giant stars members of NGC 3201 have been retrieved from the ESO archive. The spectra have been acquired with the UVES grating 580 Red Arm CD#3, that provides a high spectral resolution (R ∼ 45,000) and a large spectral coverage (∼4800–6800 Å). The spectra have been reduced using the dedicated ESO pipeline,1 performing bias subtraction, flat-fielding, wavelength calibration, spectral extraction and order merging. In each exposure one fiber is dedicated to sample the sky background and used to subtract this contribution from each individual spectrum.

Spectroscopic targets have been identified in our photometric catalog, obtained by combining high-resolution images acquired with the Hubble Space Telescope/Advanced Camera for Surveys (ACS) camera and wide-field images acquired with the ESO–WFI imager. Both the photometric data sets have been obtained through the V and I filters. A total of 13 targets lie in the innermost cluster region, covered by ACS, while 8 stars are in the external region, covered by Wide Field Imager (WFI). The membership of all the targets is confirmed by their very high radial velocity (〈RVhelio〉 = +494.6 ± 0.8 km s−1, σ = 3.6 km s−1) that allows to easily distinguish the cluster members from the surrounding field stars.

The position of the targets in the color–magnitude diagrams (CMDs) is shown in Figure 1. These CMDs have been corrected for differential reddening using the method described in Massari et al. (2012) and adopting the extinction law by Cardelli et al. (1989). In order to calculate guess values for the atmospheric parameters of the target stars, we fitted the CMDs with an appropriate theoretical isochrone from the BaSTI data set (Pietrinferni et al. 2006), computed with an age of 11 Gyr (Marin-Franch et al. 2009), Z = 0.001 and α-enhanced chemical mixture, finding a color excess E(BV) = 0.31 mag and a true distance modulus (mM)0 = 13.35 mag.

Figure 1.

Figure 1. CMDs for central and external regions of NGC 3201 (left and right panels, respectively), corrected for differential reddening. Large circles are the spectroscopic targets flagged as metal-rich ([Fe/H] >−1.58 dex) in Simmerer et al. (2013), while large triangles those identified as metal-poor ([Fe/H]⩽−1.58 dex).

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Table 1 lists the main information about the targets, by adopting the same identification numbers used by Simmerer et al. (2013) who adopted the original names by Cote et al. (1994).

Table 1. Main Information of the Target Stars

Star R.A. Decl. V I RVhelio Teff log g vturb [Fe i/H] [Fe ii/H]
(J2000) (J2000) (km s−1) (K) (km s−1) (dex) (dex)
63 154.3084680 −46.4125790 13.76 12.42 495.9  ±  0.6 4730 1.54 1.45 −1.27  ±  0.03 −1.35  ±  0.05
89 154.3346190 −46.3860090 13.87 12.56 498.8  ±  0.5 4855 1.63 1.60 −1.57  ±  0.02 −1.35  ±  0.03
91 154.3359600 −46.3355290 13.81 12.41 490.4  ±  0.6 4705 1.56 1.50 −1.36  ±  0.05 −1.35  ±  0.05
105 154.3439854 −46.4201000 13.94 12.59 493.9  ±  0.9 4760 1.61 1.45 −1.31  ±  0.03 −1.29  ±  0.05
124 154.3601786 −46.4140432 12.85 11.32 498.5  ±  0.2 4375 0.96 1.55 −1.37  ±  0.02 −1.40  ±  0.05
129 154.3623900 −46.4312480 13.54 12.13 491.8  ±  0.4 4580 1.36 1.50 −1.48  ±  0.02 −1.43  ±  0.04
181 154.3876490 −46.4126379 13.89 12.58 497.5  ±  0.4 4920 1.65 1.65 −1.62  ±  0.03 −1.37  ±  0.04
200 154.3949420 −46.3972062 12.79 11.30 495.1  ±  0.4 4515 0.99 1.85 −1.50  ±  0.02 −1.40  ±  0.04
222 154.4031199 −46.4257714 12.69 11.15 491.0  ±  0.5 4355 0.88 1.65 −1.47  ±  0.02 −1.45  ±  0.05
231 154.4067690 −46.4012923 13.52 12.18 491.2  ±  0.5 4785 1.45 1.60 −1.54  ±  0.02 −1.39  ±  0.03
240 154.4091582 −46.4277707 13.91 12.59 495.2  ±  0.6 4855 1.64 1.55 −1.61  ±  0.03 −1.38  ±  0.04
244 154.4097946 −46.4024205 13.77 12.38 492.2  ±  0.3 4690 1.51 1.50 −1.44  ±  0.02 −1.44  ±  0.05
249 154.4104867 −46.4270988 12.99 11.54 498.1  ±  0.3 4545 1.11 1.60 −1.56  ±  0.02 −1.42  ±  0.04
277 154.4198397 −46.4124756 13.60 12.18 497.6  ±  0.3 4620 1.39 1.50 −1.40  ±  0.02 −1.42  ±  0.05
279 154.4208433 −46.3954964 13.34 11.89 499.0  ±  0.3 4555 1.26 1.50 −1.43  ±  0.03 −1.43  ±  0.04
303 154.4288640 −46.3800960 13.58 12.20 491.7  ±  0.4 4630 1.39 1.50 −1.45  ±  0.02 −1.45  ±  0.04
308 154.4304349 −46.4108231 13.76 12.37 487.2  ±  0.4 4620 1.45 1.45 −1.50  ±  0.02 −1.45  ±  0.04
312 154.4342122 −46.4240651 12.71 11.10 494.9  ±  0.3 4330 0.85 1.65 −1.44  ±  0.03 −1.44  ±  0.06
332 154.4478331 −46.3982898 12.96 11.47 499.7  ±  0.5 4500 1.08 1.65 −1.54  ±  0.02 −1.38  ±  0.04
344 154.4544130 −46.4162830 13.82 12.41 490.7  ±  0.7 4655 1.49 1.40 −1.31  ±  0.03 −1.29  ±  0.05
374 154.5004800 −46.5194470 13.64 12.09 498.7  ±  0.6 4595 1.38 1.50 −1.41  ±  0.03 −1.36  ±  0.05
                  〈[Fe i/H]〉 〈[Fe ii/H]〉
                  –1.46  ±  0.02 –1.40   ±   0.01

Notes. Identification numbers are the same as those adopted by Simmerer et al. (2013). [Fe i/H] and [Fe ii/H] have been obtained adopting photometric gravities.

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3. ANALYSIS

Iron abundances have been derived with the package GALA2 (Mucciarelli et al. 2013a) by matching the measured and theoretical equivalent widths (EWs). Model atmospheres have been calculated with the code ATLAS9.3 We selected Fe i and Fe ii lines predicted to be unblended at the UVES resolution and at the typical atmospheric parameters and metallicity of the observed stars, through the careful inspection of synthetic spectra calculated with the SYNTHE package (Sbordone 2005). Atomic data of the transitions of interest are from the last release of the Kurucz/Castelli linelist.4 The final iron abundances are based on ∼130–150 Fe i and ∼15–20 Fe ii lines. EWs have been measured with DAOSPEC (Stetson & Pancino 2008), run iteratively by means of the package 4DAO5 (Mucciarelli 2013). EW, oscillator strength, and excitation potential (E.P.) for all the measured transitions are listed in Table 2 (available in its entirety in the online version).

Table 2. Star Identification Number, Wavelength, Oscillator Strength, Excitation Potential, and Measured EWs for All the Used Transitions

Star λ Ion log(gf) E.P. EW
(Å) (eV) (mÅ)
63 4791.246 Fe i −2.435 3.270 26.40
63 4834.507 Fe i −3.330 2.420 27.90
63 4842.788 Fe i −1.530 4.100 16.30
63 4892.859 Fe i −1.290 4.220 29.50
63 4911.779 Fe i −1.760 3.930 19.50
63 4917.230 Fe i −1.160 4.190 35.90
63 4918.013 Fe i −1.340 4.230 28.30
63 4950.106 Fe i −1.670 3.420 54.10
63 4962.572 Fe i −1.182 4.180 32.30
63 4969.917 Fe i −0.710 4.220 46.00
63 4985.253 Fe i −0.560 3.930 75.30
63 5002.793 Fe i −1.530 3.400 67.20
63 5014.942 Fe i −0.303 3.940 86.70
63 5022.236 Fe i −0.560 3.980 76.40
63 5028.126 Fe i −1.123 3.570 68.30

Only a portion of this table is shown here to demonstrate its form and content. A machine-readable version of the full table is available.

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3.1. Analysis with Spectroscopic Gravities

First, we performed a fully spectroscopic analysis, as done by Simmerer et al. (2013), in order to verify whether we obtain the same evidence of a metallicity dispersion. In this analysis the atmospheric parameters have been constrained as follows: (1) for the effective temperatures (Teff) we requested that no trend exists between abundances and E.P., (2) for the surface gravities (log g) we imposed that the same abundance is obtained (within the uncertainties) from Fe i and Fe ii lines, (3) for the microturbulent velocity (vturb) we requested that no trend exists between abundances from Fe i lines and the reduced line strength. The derived values of vturb are based on ∼130–150 Fe i lines distributed over a large interval of reduced EWs, with log(EW/λ) ranging between −5.6 and −4.7.

We derived an average [Fe i/H] = −1.46  ±  0.02 dex (σ = 0.10 dex), with a distribution ranging from −1.62 dex to −1.27 dex. The [Fe i/H] and [Fe ii/H] abundance distributions are shown in Figure 2 as generalized histograms. This result well matches that obtained by Simmerer et al. (2013) that find an average abundance [Fe/H] = −1.48 ± 0.02 dex (σ= 0.11 dex)6 with a comparable iron range (Δ[Fe/H] ∼ 0.4 dex). This spectroscopic analysis fully confirms the claim by Simmerer et al. (2013): when analyzed with atmospheric parameters derived following the constraints listed above, the stars of NGC 3201 reveal a clear star-to-star scatter in the iron content. The five stars labeled as metal-poor by Simmerer et al. (2013), with [Fe/H] < −1.58 dex, are the most metal-poor also in our metallicity distribution.

Figure 2.

Figure 2. Generalized histograms for [Fe i/H] (empty histogram) and [Fe ii/H] (gray histogram) obtained from the analysis performed with spectroscopic gravities (left panel) and with photometric gravities (right panel).

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3.2. Analysis with Photometric Gravities

As pointed out by Lapenna et al. (2014), possible NLTE effects in AGB stars can be easily detected by assuming photometric values for log g and measuring Fe i and Fe ii independently.7 In order to see whether this effect is present in the NGC 3201 data, we adopted the following procedure. Teff has been derived spectroscopically, by imposing the excitation equilibrium as described above. Thanks to the high quality of the spectra (with S/N per pixel higher than 100) and the large number of Fe i lines distributed over a large range of E.P.s, very accurate spectroscopic Teff can be estimated, with internal uncertainties of about 20–30 K. As a guess value we adopted Teff calculated from the (VI)0Teff calibration by Alonso et al. (1999) and assuming a color excess E(B − V) = 0.31 mag. Gravities have been derived from the Stefan–Boltzmann equation, assuming E(BV) = 0.31 mag, (mM)0  =  13.35 mag, bolometric corrections from Alonso et al. (1999) and a mass of 0.82 M (according to the best-fit isochrone, the latter is a suitable value for RGB stars brighter than the RGB bump magnitude level). Because Teff is derived spectroscopically, the gravity is recomputed through the Stefan–Boltzmann equation in each iteration according to the new value of Teff. The mass value of 0.82 M is appropriate for RGB stars but probably too high for AGB stars, because of mass loss phenomena during the RGB phase (Rood 1973; Origlia et al. 2002, 2007, 2014). In fact, Gratton et al. (2010) provide the masses for a sample of horizontal-branch (HB) stars in NGC 3201, finding values between 0.62 and 0.71 M. We initially analyzed all the targets assuming the mass of a RGB star. Then, the AGB candidates, selected according to their position in Teff–logg plane (as discussed in Section 4) have been re-analyzed by assuming the median value (0.68 M) of the HB stars estimated by Gratton et al. (2010).

This method allows us to take advantage of the high quality of the spectra, deriving accurate Teff thanks to the large number of transitions spanning a large range of E.P.s. On the other hand, this approach does not require a fully spectroscopic determination of log g that is instead calculated using both photometric information and spectroscopic Teff, avoiding any possible bias related to NLTE effects.

The [Fe i/H] and [Fe ii/H] abundances obtained with this method are listed in Table 1. The right panel of Figure 2 shows the [Fe i/H] and [Fe ii/H] distributions represented as generalized histograms obtained from this analysis. The two distributions turn out to be quite different. The iron distribution obtained from Fe i lines resembles that obtained with the spectroscopic parameters (left panel of Figure 2), with an average value of [Fe i/H] = −1.46 ± 0.02 dex (σ = 0.10 dex), while the distribution obtained from Fe ii lines has a narrow Gaussian shape ([Fe ii/H] > = −1.40 ± 0.01 dex, σ = 0.05 dex) pointing to a quite homogeneous iron content.

3.3. Uncertainties

Internal uncertainties in the derived Fe abundances have been calculated by adding in quadrature two sources of uncertainties.

  • 1.  
    Those arising from the EW measurement. For each target, we estimated this term as the line-to-line dispersion normalized to the rms of the number of lines. Because of the high quality of the used spectra, the line-to-line scatters are smaller than 0.1 dex, leading to internal uncertainties of about 0.005–0.008 dex for [Fe i/H] and of about 0.010–0.025 dex for [Fe ii/H].
  • 2.  
    Those arising from the atmospheric parameters. To estimate this term, we follow the approach described by Cayrel et al. (2004) to take into account the covariance terms due to the correlations among the atmospheric parameters. For each target, the temperature has been varied by $\pm 1\sigma _{T_{\rm eff}}$, the gravity has been re-calculated through the Stefan–Boltzmann equation adopting the new values of Teff and the microturbulent velocity re-optimized spectroscopically.Table 1 lists the total uncertainty including both the terms (1) and (2). Also, Table 3 shows for two representative targets (one RGB and one AGB star) the abundance uncertainty obtained following the prescriptions by Cayrel et al. (2004; second column) and those obtained with the usual method of independently varying each parameter (an approach that obviously does not take into account the correlation among the parameters and can overestimate the total uncertainty).

Table 3. Abundance Uncertainties Due to the Atmospheric Parameters for the Stars #63 and #89

Ion Parameters δTeff δlog g δvturb
Uncertainty ±50 K ±0.1 ±0.1 km s−1
(dex) (dex) (dex) (dex)
    #63 (RGB)    
Fe i ±0.03 ±0.05 ±0.00 ∓0.03
Fe ii ±0.04 ∓0.02 ±0.04 ±0.03
    #89 (AGB)    
Fe i ±0.02 ±0.04 ±0.00 ∓0.03
Fe ii ±0.03 ∓0.02 ±0.04 ±0.02

Notes. The second column is the total uncertainty calculated according to Cayrel et al. (2004). The other columns list the abundance variations related to the variation of only one parameter.

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4. DISCUSSION

In this paper we present a new analysis of the UVES–FLAMES spectra of 21 member stars of NGC 3201 already discussed in Simmerer et al. (2013). The Fe abundances have been calculated both using spectroscopic gravities (obtained by imposing the ionization balance between Fe i and Fe ii abundances) and photometric ones (obtained through the Stefan–Boltzmann equation). The two methods provide different results concerning [Fe i/H] and [Fe ii/H]. In particular, the use of spectroscopic log g provides a wide [Fe/H] distribution (as large as ∼0.4 dex), in agreement with the finding of Simmerer et al. (2013) who adopted the same method. On the other hand, when photometric gravities are used, the [Fe i/H] distribution remains quite large, while that of [Fe ii/H] is narrow. We compute the intrinsic spread of the two Fe distributions adopting the maximum likelihood algorithm described in Mucciarelli et al. (2012). Concerning [Fe i/H] we derive σint = 0.09 ± 0.01 dex, while for [Fe ii/H] σint = 0.00 ± 0.02 dex. Hence, the [Fe ii/H] distribution is compatible with no iron spread.

Simmerer et al. (2013) highlight that the five most metal-poor stars of their sample are bluer than the other stars, as expected in cases of a lower metallicity. The left panel of Figure 3 shows the position of the targets in the Teff–log g plane, with superimposed, as reference, two isochrones with the same age but different metallicity: Z = 0.001 (solid line) and Z = 0.0006 (dashed line). The RGB of the isochrone with Z = 0.0006 overlaps the position of the AGB of the Z = 0.001 isochrone. Seven targets (including the five candidate metal-poor stars) are located in a position compatible with both the scenarios: metal-poorer RGB or AGB at the cluster metallicity. These seven targets have average abundances of [Fe i/H] = −1.57 ± 0.01 dex and [Fe ii/H] = −1.41 ± 0.01 dex, while the RGB stars have [Fe i/H]  =  −1.42 ± 0.02 dex and [Fe ii/H] = −1.40 ± 0.01 dex.

Figure 3.

Figure 3. Left panel: position of the targets in the Teff–log g plane. A BaSTI isochrone with age of 11 Gyr, Z = 0.001 and α-enhancement chemical mixture (solid line) is superimposed for the sake of comparison. The dashed line indicates the position of the RGB for a BaSTI isochrone with age of 11 Gyr an Z  =  0.0006. Gray triangles are the metal-poor stars of Simmerer et al. (2013). Empty gray squares are the stars in our analysis with [Fe i/H] − [Fe ii/H] <−0.1 dex. Right panel: behavior of [Fe i/H] − [Fe ii/H] as a function of the difference between the spectroscopic temperature of each target and the photometric value estimate from the isochrone with Z = 0.001 shown in the left panel. Same symbols as in the left panel. The gray light area indicates the expected mean locus for metal-poor ([Fe/H] ∼ −1.6 dex) RGB stars.

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However, if these stars were metal-poor RGB stars, the iron abundance derived from Fe i lines should be in agreement with that obtained from Fe ii, since NLTE effects are not observed in RGB stars of comparable luminosity and metallicity. The right panel of Figure 3 shows the behavior of ([Fe i/H] − [Fe ii/H]) as a function of the difference between the spectroscopic values of Teff and those obtained from the projection along the RGB of the best-fit isochrone. The stars located along the RGB (ΔTeff ∼ 0) have similar [Fe i/H] and [Fe ii/H] abundances, compatible with no NLTE effects. The stars hotter than the reference RGB have differences between [Fe i/H] and [Fe ii/H] ranging from −0.07 to −0.22 dex, with a mean value of −0.15 dex. The gray region marks the expected position for metal-poorer RGB stars: they should be hotter than the reference RGB, but with [Fe i/H] − [Fe ii/H] ∼ 0, as commonly measured in the RGB stars. This reveals the true nature of these stars: they are genuine AGB stars, with the same metallicity of the cluster (as measured from their Fe ii lines) but affected by NLTE effects leading to a systematic decrease of [Fe i/H]. This is the same effect observed by Ivans et al. (2001) and Lapenna et al. (2014) in the AGB stars of M5 and 47 Tucanae, respectively.

A direct inspection of the spectra reveals the different behavior of Fe i and Fe ii lines in AGB and RGB stars. Figure 4 shows three Fe i lines (chosen with different E.P.) and one Fe ii line in the spectra of the AGB star #89 (upper panels) and of the RGB star #303 (lower panels). Synthetic spectra calculated with the appropriate atmospheric parameters and the metallicity derived from Fe ii lines (red lines). In the upper panels we also show the synthetic spectrum computed with the average [Fe i/H] (blue dashed line). Clearly, the synthetic spectrum assuming the [Fe ii/H] abundance well reproduces all the observed lines in the case of the RGB star, while it fails to fit the Fe i lines observed in the AGB star, regardless of the E.P. (pointing out that this effect cannot be attributed to inadequacies in the adopted Teff). On the other hand, the abundance derived from Fe i lines is too low to well reproduce the depth of the AGB Fe ii line plotted in Figure 4. This clearly demonstrates a different behavior of iron lines in AGB and RGB stars.

Figure 4.

Figure 4. Spectral regions around three Fe i lines with different excitation potential and one Fe ii line, for the AGB star #89 (upper panels) and the RGB star #303 (lower panels). Synthetic spectra calculated with the corresponding atmospheric parameters (see Table 1) and adopting the average iron abundance derived from Fe ii lines are superimposed as red curves. The blue dashed curve shown in the upper panels is the synthetic spectrum calculated with the iron abundance derived from Fe i lines.

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It is worth noting that this behavior is somewhat puzzling, because theoretical models do not predict significant differences in the NLTE corrections for stars in the parameter space covered by our targets. For instance, the grid of NLTE corrections computed by Bergemann et al. (2012) and Lind et al. (2012) predicts that the Fe i lines in AGB and RGB stars should be affected in a very similar way at the metallicity of NGC 3201. However, some additional effects/mechanisms could play a role in the AGB photospheres, leading to the departure from the LTE condition, which are not yet accounted for in the available theoretical calculations.

We checked whether the mass assumed for AGB stars could change our conclusions. The mass distribution of HB stars in NGC 3201 provided by Gratton et al. (2010) ranges from 0.62 to 0.71 M, with a median value of 0.68 M. The minimum and maximum mass values correspond to a difference in log g of 0.06, leading to a variation in [Fe ii/H] of only 0.02–0.025 dex (and a variation in [Fe i/H] of 0.002–0.005 dex). On the other hand, if we adopt the RGB mass (0.82 M) for all targets, as it is often done because of the difficulty to observationally distinguish between RGB and AGB stars, the values of [Fe ii/H] increase by only 0.03 dex with respect to estimate obtained assuming 0.68 M. Hence, the precise value of the adopted mass (within a reasonable mass range) cannot reconcile the difference between [Fe i/H] and [Fe ii/H].

As additional check, for each AGB stars, the stellar mass has been varied until the ionization equilibrium was satisfied. The derived values range from ∼0.2 and ∼0.5 M: such masses are too low with respect to the mass distribution of the HB stars derived by Gratton et al. (2010). In particular, for the stars #89, #181, and #240, that exhibit the largest difference between [Fe i/H] and [Fe ii/H] (∼−0.2 dex), a satisfying ionization equilibrium can be reached only with masses smaller than 0.2–0.25 M, which are very unlikely values for GC AGB stars.

5. CONCLUSIONS

We demonstrated that the observed intrinsic star-to-star Fe scatter in the GC NGC 3201 is due to unaccounted NLTE effects in the spectroscopic analysis of some AGB stars included in the sample. These stars suffer from NLTE effects driven by the iron overionization, a mechanism that affects mainly the less abundant species like Fe i, but has no a significant effect on the dominant species (e.g., Fe ii). When the gravity of these stars is obtained spectroscopically, forcing them to have the same abundance from Fe i and Fe ii lines, the derived [Fe/H] abundance turns out to be underestimated.

Our findings confirm the conclusion by Lapenna et al. (2014) that the chemical analysis of samples of stars including both AGB and RGB stars, and based on spectroscopic gravities, can lead to spurious broadening of the iron distribution.

We conclude that NGC 3201 is a normal GC, without evidence of intrinsic iron scatter. In light of this result, it is not necessary to suppose that NGC 3201 was more massive in the past to retain the SN ejecta, as invoked by Simmerer et al. (2013).

We warmly thank the anonymous referee for suggestions that helped improving the paper. This research is part of the project COSMIC-LAB (http://www.cosmic-lab.eu) funded by the European Research Council (under contract ERC-2010-AdG-267675).

Footnotes

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10.1088/0004-637X/801/1/69