Free Access
Issue
A&A
Volume 546, October 2012
Article Number A90
Number of page(s) 12
Section Stellar atmospheres
DOI https://doi.org/10.1051/0004-6361/201219406
Published online 12 October 2012

© ESO, 2012

1. Introduction

Spectroscopic observations of low-mass stars have shaped our understanding of the Galactic evolution and stellar nucleosynthesis. Strontium, as one of the abundant r-process elements, has been extensively investigated in the past few decades. However, its main production site has not yet been identified: the observed abundances of Sr in metal-poor stars are far too large to be explained by conventional rapid neutron-capture nucleosynthesis in SNe II, suggesting some alternative exotic scenarios, such as the light element primary process (Travaglio et al. 2004), rp-process in accretion disks around low-mass black holes (Schatz et al. 1998), black hole-neutron star mergers (Surman et al. 2008), high-entropy winds in SN II (Farouqi et al. 2010), and low-mass electron-capture supernovae (Wanajo et al. 2011), to name just a few (see José & Iliadis 2011, and references therein).

Until recently, determinations of Sr abundances in metal-poor stars relied almost exclusively on the two near-UV lines of Sr ii, which are sufficiently strong to be detected also in the spectra of moderate-to-low resolution and signal-to-noise ratio. The drawback is that in spectra of stars that are typically used for studies of Galactic chemical evolution, [Fe/H]  >  −2, these lines saturate and develop pronounced damping wings, overlapping with various atomic and molecular blends. Therefore, the weak Sr i line at 4607.34 Å and/or the Sr ii line at 4161 Å are sometimes preferred at higher metallicities. However, there is evidence that the Sr i lines may be subject to non-local thermodynamic equilibrium (hereafter, NLTE) effects (Barklem & O’Mara 2000), which has been supported by ab initio calculations solving for radiative transfer in NLTE for a small grid or red giant model atmospheres (Short & Hauschildt 2006). In a few studies that used near-IR spectra, the Sr ii triplet (10 037, 10 327, and 10 915 Å have also been used (Andrievsky et al. 2011). In the majority of published studies, the preference was given to one ionization stage only (e.g., Jehin et al. 1999), and only a few studies investigated both Sr i and Sr ii lines (Gratton & Sneden 1994; Cowan et al. 2002), finding discrepant results.

In this study, we perform for the first time an NLTE analysis of the Sr i and Sr ii lines in spectra of late-type stars. The new atomic model was constructed from state-of-art atomic data that were computed specifically for this work. The NLTE model atom was tested on several reference stars with parameters determined by other independent methods. Furthermore, we present a large grid of NLTE abundance corrections for Sr i and Sr ii lines. The results presented in this work will be applied to the analysis of a representative sample of metal-poor stars observed at a very high resolution and signal-to-noise ratio (in Hansen et al., in prep.) Furthermore, we plan to undertake an NLTE Sr abundance analysis of the thick-disk and halo stars with spectroscopic parameters from Ruchti et al. (2011).

2. Methods

2.1. Model atmospheres and NLTE calculations

All calculations in this work were performed with classical 1D LTE plane-parallel model atmospheres. We used the MAFAGS-OS (Grupp 2004a,b) and MAFAGS-ODF models, which are well-adapted for the analysis of late-type stars. A brief description of these models and comparison with other models of a similar type (MARCS, Gustafsson et al. 2008) is presented in Bergemann et al. (2012).

The NLTE statistical equilibrium calculations were performed with the revised version of the DETAIL code (Butler & Giddings 1985). The statistical equilibrium and radiative transfer equations were solved by the accelerated Λ-iteration method in the formulation of Rybicki & Hummer (1991, 1992). The method allows for self-consistent treatment of overlapping lines and continua. A description of the code with some recent modifications related to the treatment of background line opacity can be found in Bergemann et al. (2012). In the statistical equilibrium calculations, we treated the diagnostic lines investigated here with Voigt profiles, while all other Sr lines were computed with a Gaussian profile with 13 frequency points.

The LTE and NLTE abundances for the reference stars, as well as the NLTE abundance corrections, were determined with a full spectrum synthesis with the revised version of the SIU code (Reetz 1999), which was adapted for automated NLTE abundance calculations (Sbordone, priv. comm.). The line lists in SIU have been continuously updated by the members of the Munich group (Gehren et al. 2004, 2006) and they are mainly based on the Kurucz1, Hannover 2, and NIST (Ralchenko et al. 2012) compilations.

2.2. Model atom

The model atom of Sr was constructed using the available atomic data from the Hannover and NIST databases that were supplemented by our new calculations3 of atomic energy levels, dipole-permitted and forbidden transitions (see below). Thus, the model is the most complete representation of atomic system of Sr i and Sr ii, to date. In particular, we also included 135 Sr ii transitions from the Coulomb approximation calculations of Lindgård & Nielson (1977). The neutral atom is, thus, represented by 141 levels with the principle quantum numbers n ∗  ≤ 20, and the uppermost level 20f is located at 5.66 eV, i.e. 0.03 eV from the first ionization limit at 5.69 eV. The singly-ionized atom includes 49 levels including the highest experimentally observed level 14d 2D, which is located at 10.684 eV. The model is closed by the Sr iii ground state 4p6. The number of dipole-allowed transitions is 336 and 214 for Sr i and Sr ii, respectively.

thumbnail Fig. 1

Grotrian diagram of the Sr i (bottom) and Sr ii (top) model atoms. Only dipole-allowed transitions are shown. This is the most complete model atom used for NLTE calculations of FGK stars to date.

Our model of Sr is similar to that of Andrievsky et al. (2011) with respect to the term structure and the number of dipole-permitted transitions of Sr ii. However, we included more accurate transition probabilities for Sr ii. More importantly, our model atom includes new quantum-mechanical photoionization cross-sections for Sr i and e impact excitation cross-sections for dipole-permitted and forbidden transitions in Sr ii (see below). The model atoms employed by Short & Hauschildt (2006) and Mashonkina & Gehren (2001) are much simpler than those employed in this work (84 and 41 total levels, respectively).

2.2.1. New calculations of atomic data

We computed single-electron orbitals for the target ions4 Sr+ with the atomic structure code autostructure by Badnell (1986, 1997). This code is an extension of the program superstructure (Eissner & Nussbaumer 1969) and computes fine-structure CI energy levels and radiative and Auger rates in a Breit-Pauli relativistic framework. Single electron orbitals are constructed by diagonalizing the non-relativistic Hamiltonian, within a statistical Thomas-Fermi-Dirac-Amaldi (TFDA) model potential (Eissner & Nussbaumer 1969). The scaling parameters are optimized by minimizing a weighted sum of the LS term energies. We employed a very extensive configuration expansion with configurations of the form 4p6nl, with n going from 4 to 6 and l ≤ 3, and configurations with multiple promotion from the 4p orbital, i.e. 4pq5sr4dtnl with 3 ≤ q ≤ 6, 0 ≤ r ≤ 2, and 0 ≤ t ≤ 2. These multiple promotions from the 4p orbital are essential for computing the photoionization cross sections, which will be the subject of a future publication.

Our target representations give term energies in reasonable agreement, within  ~5 percent with experimental values.

The photoionization cross-sections were computed with the R-matrix method (Burke et al. 1971). The present calculation for Sr0 includes the lowest 67 LS-terms of the target in the close coupling expansion and all short range (N + 1)-electron configurations that result from adding an electron to the target configurations. We found 197 singlet and triplet bound terms of Sr0 with n < 9 and L ≤ 5, and computed photoionization cross sections for all of them. The cross sections were computed at an even energy mesh of 5 × 10-5 Ry from threshold up to 0.23 Ry, mesh of 10-3 Ry from 0.23 Ry to 2.3 Ry (roughly the highest target threshold), and another mesh of 0.02 Ry from 2.3 Ry to 4.3 Ry. Figure 2 shows the partial cross sections for ionization from the ground term of Sr0 into each of the first six terms of the target Sr+. We note, however, that DETAIL is not yet able to consistently treat ionization to specific states of the target ion. Therefore, total photoionization cross-sections were adopted here. Figure 3 shows the total cross sections for the lowest six excited state of Sr0. For comparison, we show the hydrogenic cross-sections computed with the effective principal quantum number. The latter reproduces the functional dependence of the cross-section with energy. However, the quantum-mechanical photoionization cross-sections are typically larger both in the background (factor of two to five) and in the resonances (up to three orders of magnitude).

thumbnail Fig. 2

Partial photoionization cross-sections for the Sr i ground state into the lowest six states of the Sr ii target. The cross-sections are dominated by prominent resonances.

thumbnail Fig. 3

Total photoionization cross-sections for the selected Sr i levels. Dotted lines show hydrogenic cross-sections. The new cross-sections are up to few orders of magnitude larger than the commonly used hydrogenic approximation.

2.2.2. Collision rates

Electron impact excitation rate coefficients for the 49 levels of Sr ii levels were taken from Bautista et al. (2002). The data were computed with the same technique, i.e., the close-coupling approximation with the R-matrix method. For all other levels of Sr i and Sr ii the electron collision rates were computed using the formulae of van Regemorter (1962) for dipole-allowed and Allen (1973) for dipole-forbidden transitions. Cross-sections for transitions caused by inelastic collisions with H i atoms are basically unknown for any atom heavier than Mg. The only available formula developed originally for collisions between equal H-like atoms (Drawin 1968, 1969) that was subsequently slightly modified by Steenbock & Holweger (1984) and Lambert (1993) was shown to overestimate the rates of bound-bound transitions by two to seven orders of magnitude (Belyaev & Barklem 2003; Barklem et al. 2012). Furthermore, the charge transfer processes cannot be described by this simple classical formula at all. Our tests with various scaling factors to the Drawin H i inelastic collision cross-sections demonstrated that the excitation and ionization balance of Sr i/Sr ii in the reference stars can be satisfied simultaneously only if the efficiency of H i collisions is very low (Sect. 4), several orders of magnitude lower than that given by the Drawin recipe, which is consistent with the quantum-mechanical results mentioned above. On these grounds we did not include inelastic H i collisions in our reference model atom.

2.3. Line selection and atomic data

In spectra of FGK stars, only a few Sr lines are useful for abundance determinations. These are the two Sr i and 6 Sr ii lines. The Sr i resonance line at 4607 Å is weak, and therefore sufficiently reliable for more metal-rich stars ([Fe/H]  >  −1.5) observed at high resolution. The two resonance Sr ii lines, in contrast, remain strong even in spectra of very metal-poor stars, but severe blends in the inner and outer wings lead to systematic errors in abundances if the blends are not properly accounted for. The three near-IR Sr ii lines at 1   μm appear to be unblended and are sufficiently strong to be detected even at [Fe/H]  <  −2.

Table 1

Lines of Sr i and Sr ii selected for abundance calculations.

The lines selected in this work are given in Table 1. The transition probabilities were taken from different experimental and theoretical sources. According to NIST, the Sr i gf-values are very accurate, the uncertainty is lower than 1 percent for the 4607 Å line and better than 10 percent for the 7070 Å subordinate line. These gf-values were taken from the laboratory analysis of Parkinson (1976) and García & Campos (1988), respectively. The oscillator strengths of the near-IR Sr ii lines were adopted from the only available laboratory results of Gallagher (1967). They are fully consistent with the most recent ab initio calculations of Bautista et al. (2002), which were also adopted in the NLTE model atom.

Damping widths for the calculation of broadening due to elastic collisions with H i are available for the Sr ii lines from the quantum-mechanical calculations of Barklem et al. (2000), and for the Sr i lines they were kindly provided by the referee. We adopted the values from Barklem et al. for the near-IR Sr ii transitions. However, for the strong resonance Sr ii lines, which are very sensitive to this parameter, our spectrum synthesis calculations indicate values lower by  ~20 percent. The question is whether this difference can be attributed to the uncertainties of the theoretical data arising because of certain approximations in the Anstee, Barklem, and O’Mara (ABO) theory. These include the representation of the interaction potential and collisional dynamics and have been investigated by Kerkeni et al. (2004) for neutral atoms of Mg, Sr, Ca, and Na. These authors found that while the semi-classical description of a collision is a sufficiently good approximation, the ABO potentials become quite inaccurate at small interatomic separations. However, the effect of the latter is rather to underestimate the line width, which clearly does not explain our finding. For the Sr ii 4167 line we assumed the same γ as for the resonance lines, but note that the line is too weak even in the solar spectrum to be sensitive to this parameter at all.

The adopted values of damping widths at 10   000 K per H atom, γ / NH, as well as the commonly used interaction constants in the van der Waals-type interaction C6 computed for T = 5780 K are given in Table 1. Here, the latter is a parameter in the Unsöld (1955, Eqs. (82), (48)) formula needed to reproduce the correct line width γ at the given temperature5.

For the 4077 Sr ii line, which will be used for the abundance determinations in Sect. 4, we included the hyperfine structure and isotopic shifts. The magnetic dipole and electric quadrupole constants were taken from Buchinger et al. (1990): A () =  −1000.5 MHz, A () =  −36 MHz, B () = 88.5 MHz. The data agree with the older experiment by Borghs et al. (1983) and theoretical calculations by Yu et al. (2004). Isotope shifts for 84Sr, 86Sr, 87Sr were taken from Borghs et al. (1983) and the solar isotopic ratios were adopted6. The wavelengths and log gf values of the hyperfine structure (HFS) components are given in Table 2. We note that the 4215 Å Sr i line was only used for a comparative LTE to NLTE analysis for the reasons discussed in Sect. 3.3.

3. Statistical equilibrium of Sr

The departure coefficients7 for selected levels of Sr are shown as a function of continuum optical depth log τc at 500 in Fig. 4 for the model atmospheres with parameters corresponding to dwarfs and giants with [Fe/H]  = 0 and  −2.4. Only the levels that give rise to the spectral lines selected for the abundance analysis (Table 1) are included in the plots. These are two levels of Sr i, forming the resonance lines at 4607 Å, and two levels of Sr ii, which are connected by the 4077 Å transition commonly used in the analysis of metal-poor stars.

Table 2

Hyperfine structure and isotopic shift for the 4077 Å line.

3.1. NLTE effects in SrI

thumbnail Fig. 4

Departure coefficients bi of selected Sr i and Sr ii levels for different stellar parameters, Teff, log g, and [Fe/H] (indicated in each sub-plot). Red: Sr i levels, (solid), (dotted), (dashed). Black: Sr ii levels, (solid), (dotted), (dashed).

Sr i with the ionization potential 5.69 eV is a trace atom in the the atmospheres of late-type stars. The ratio of Sr i/Sr ii falls below 10-3 above continuum optical depth unity, and the departures from LTE in the distribution of atomic level populations are almost entirely caused by overionization. The behavior of the Sr i departure coefficients with stellar parameters therefore resembles that of similar trace atoms, such as Co i (Bergemann et al. 2010) or Cr i (Bergemann & Cescutti 2010). The levels are underpopulated and their bi-factors monotonously decrease outward. The ground state with the ionization edge at 2177 Å is also strongly overionized and decouples from the other low-excited levels because collisions cannot bridge the large energy gap of  ~2 eV between them. Line transitions have a small influence on the statistical equilibrium of Sr i, causing some changes of the level populations only in the solar-metallicity models. For example, in the metal-rich models (Fig. 4, left panel), the departure coefficient of the 5p level drops below that of the 5s2 1S at log τc ≈  − 1, marking the depth at which the 4607 resonance line becomes optically thin, and spontaneous transitions depopulate the upper level of the transition.

In the metal-poor models (Fig. 4, right panel), the coupling of the levels by radiative bound-bound transitions and collisions diminishes8 even though the collision rates between the low-excited levels are high enough to keep them in detailed balance even in the models with [Fe/H]  =  −1. The populations are now set primarily by the balance between radiative ionizations and recombinations, and the run of bi-factors with log τc simply reflects the mean intensity vs. Planck function inequalities, Jν ≠ Bν, at the frequencies of the level photoionization continua at each depth point. For example, in the model with Teff = 6000 K, log g = 4.2, and [Fe/H]  =  −2.4, the lowest energy levels 5p and 5p decouple from each other and from the continuum at log τc ≈ 0. Then, in a very narrow interval of optical depths,  −1 < log τc < 0, their departure coefficients demonstrate a sudden drop following the steep temperature gradient of the atmosphere, and thus the rapid increase of Jν − Bν imbalance (note that matter becomes transparent to radiation above ionization edges of both levels, 3202 and 4126 Å at log τc =  +0.11 and log τc =  +0.05, respectively). Farther out, log τc <  −1, where the mean intensity as well as the local kinetic temperature remain roughly constant, the departure coefficients smooth out, slowly decreasing outward.

thumbnail Fig. 5

NLTE abundance corrections for the Sr i and Sr ii lines. Note the different x-axis scales.

The NLTE effects on the formation of the Sr i line at 4607 Å are generally to decrease the line opacity, shifting the line τν scale to the deeper hotter atmospheric layers and, thus, leading to weaker lines compared to the LTE case.

3.2. NLTE effects in SrII

The NLTE effects on the Sr ii levels are caused by the non-equilibrium excitation in the line transitions. This was extensively investigated by Belyakova & Mashonkina (1997) and Short & Hauschildt (2006), and our results are qualitatively very similar to these studies. The analysis of radiative and collisional rates populating and de-populating the levels, as well as trial calculations with atomic models devoid of some key transitions, in particular the resonance and subordinate lines, allows us to draw the following conclusions.

In the solar-metallicity models (Fig. 4, left panel), the ground state, (λthr ~ 1130   Å) and the lowest odd level  level (λthr ~ 1540   Å , E ~ 3 eV) have LTE populations out to log τc ~  −3, and become underpopulated only in the outermost layers, which are transparent to the radiation across their ionization edges. Still, there is some low net radiative excitation in the transitions from these levels upward, which very efficiently populates the levels with excitation energy E ≥ 6 eV, such as , , and (not shown in the plots) due to their low Boltzmann factors. The highly-excited levels are, however, also overionized, which in turn increases the number density of the Sr iii ground state. The lowest metastable Sr ii level (E ~ 1.8 eV) is nearly in thermal equilibrium with because of the dominance of collision rates in the deeper layers but in the outer layers it gains appreciable overpopulation through the photon losses in the near-IR transitions between the two levels. Indeed, this process is a part of photon suction in a sequence of low-frequency transitions, which connect to many high-levels close to the continuum. Many of these transitions become optically thin at log τc <  −3, so that spontaneous de-excitation leads to the overpopulation , the lowest energy state of the cascading sequence.

The departures from LTE change with decreasing metallicity (Fig. 4, right panel). First, the line transitions weaken and and overpopulation of occurs in the deeper layers compared to the solar metallicity models. Also, radiative pumping in the resonance transitions at 4077 and 4215 Å is more efficient because of the larger radiative fluxes. This process leads to a marked overpopulation of the level at  −1 < log τc < 0, especially in the hotter model, Teff = 6200 K. Beyond these optical depths, overionization dominates and all low-lying levels become underpopulated. The importance of strong line scattering was tested by excluding the resonance lines and subordinate lines at 1 μm from the model atom. The overpopulation of the and vanished for the metal-rich and metal-poor models.

3.3. NLTE abundance corrections

To quantify the effect of NLTE on the abundance determinations, we used the concept of the NLTE abundance correction ΔNLTE, where (1)is the the logarithmic correction that has to be applied to an LTE abundance determination of a specific line to obtain the exact value corresponding to the use of NLTE line formation. These values were computed for a grid of model atmospheres by equalizing the NLTE equivalent widths though varying the element abundance in the LTE calculations. The NLTE abundance corrections for the 4077, 4607 and 10036 line are given in Tables 35 for a wide range of stellar parameters. Fig. 5 (top panel) also shows the values of ΔNLTE for selected model atmospheres as a function of effective temperature, gravity, and [Fe/H].

As evident from Fig. 5 (top panel) and Table 3, the NLTE abundance corrections for the 4607 Å are always positive, and they are maximum for cool giants with subsolar metallicity, [Fe/H]  <  −1. This behavior can be easily understood by inspecting the plots of the departure coefficients (Fig. 4, top right panel): at the typical depths of the resonance line formation, log τc ~ 0... −0.5, the level populations are already depleted by a factor of two compared to LTE. In the models of warmer metal-poor dwarfs, the line formation is confined to the deeper layers, log τc ~ 0, where the NLTE effects in the Sr i ionization balance are weaker. This is reflected in the behavior of the abundance corrections, which also decrease. ΔNLTE are comparatively small for the warmest models, corresponding to horizontal branch stars (Teff = 6200 and log g = 2.2). Note, however, that at Teff > 6000 K and [Fe/H]  <  −1.5 the 4607 Å line is very weak, Wλ < 0.5 mÅ, and, thus, is not useful for abundance determinations. In contrast, the line could be suitable for the analysis in sufficiently good-quality (R > 20 000, S / N > 50) spectra of giants and subgiants down to [Fe/H]  ~  −2.5.

As described in the previous section, the formation of Sr ii lines is also significantly affected by the NLTE effects. Inspection of Table 4 and Fig. 5 (middle panel) shows that for the resonance Sr ii line at 4077 Å the NLTE abundance corrections are typically negative for stars with metallicity [Fe/H]  >  −3, but rapidly increase for more metal-poor stars with Teff > 5000 K and/or log g > 3. The amplitude of ΔNLTE increases with Teff and decreasing log g. Another resonance Sr ii line at 4215 Å shows the same pattern and the NLTE abundance corrections are nearly identical; we caution, however, that this line is blended by an Fe i line and should be avoided in abundance analyses of cool stars. The implication is that, compared to NLTE, traditional LTE studies that rely on the resonance Sr ii lines underestimate the abundance of Sr in very metal-poor stars, but somewhat overestimate it for less metal-poor objects, such as those of thick and thin disk stars of the Galaxy.

For the near-IR subordinate Sr ii lines, the NLTE abundance corrections are typically negative (Table 5 and Fig. 5, bottom panel), being as large as  − 0.2 dex even for mildly metal-poor giants; this behavior is consistent with the discussion in Sect. 3.2, because the NLTE effects are caused by strong line scattering. However, ΔNLTE are usually within  −0.1 dex for dwarfs and become mildly positive only at very low metallicity, [Fe/H]  <  − 3 and Teff > 6000 K. The NLTE abundance corrections presented in Table 5 are quite similar for the other two members of the near-IR triplet, i.e., the lines at 10   327 and 10   914 Å, and can be provided on request.

Our NLTE abundance corrections are in line with the results of Short & Hauschildt (2006), although these authors investigated the formation of the resonance Sr ii lines only. They found NLTE line strengthening for the giant models with [Fe/H]  =  −1... − 2 and NLTE weakening for the models with [Fe/H]  =  −4... −5. However, we note some qualitative differences with Andrievsky et al. (2011). For example, for the near-IR Sr ii lines their abundance corrections at [Fe/H]  =  −3 and Teff = 4800 − 5300 K are between  −0.3 to  −0.5 dex and are very sensitive to surface gravity (their Fig. 7, top panel). In contrast, our values for the 10   036 Å line remain within  ~−0.1 dex for any log g value in this [Fe/H] and Teff range. For the resonance Sr ii line at 4077 Å, our ΔNLTE are mildy negative for any log g and Teff at [Fe/H]  =  −3, whereas Andrievsky et al. (2011) obtain large positive corrections for dwarfs and negative ΔNLTE for giants. The differences are most likely caused by the differences in the NLTE model atoms, as described in Sect. 2.2.

4. Application to the abundance analysis of late-type stars

In addition to the Sun, three other late-type stars were selected for the abundance analysis. The principle selection criteria were that stellar parameters are well-constrained by independent techniques (interferometry, parallaxes), observations cover a large wavelength interval, and their quality is very high so that the 4607 Sr i line and the near-IR Sr ii triplet can be accurately measured. Stellar parameters for the warm turn-off star Procyon, the moderately metal-poor giant Arcturus (HD 124897), and the very metal-poor giant HD 122563 were taken from Korn et al. (2003), Tsuji (2009), and Mashonkina et al. (2008), respectively (Table 6). The accuracy of these parameters was verified in our recent analysis of Fe NLTE statistical equilibrium with mean 3D model atmospheres (Bergemann et al. 2012). We stress that it is not our goal here to obtain Sr abundances for a large sample of stars, which will be the focus of our forthcoming publications (Hansen et al., in prep.; Ruchti et al., in prep.), but rather to test the performance of the new NLTE model atom.

thumbnail Fig. 6

NLTE and LTE line-by-line Sr abundances for the selected stars. In contrast to LTE (red open circles), the Sr i and Sr ii lines provide consistent abundances in NLTE (black filled circles).

thumbnail Fig. 7

NLTE and LTE line profiles of the Sr i and Sr ii lines for selected stars compared with observed stellar spectra.

Table 6

Basic parameters and the Sr abundances for the selected stars.

For the spectrum synthesis (Sect. 2.1), we used the solar KPNO flux spectrum (Kurucz et al. 1984). The spectra of Arcturus (HD 124897), Procyon (HD 61421), and HD 122563 were retrieved from the UVESPOP database (Bagnulo et al. 2003). These UVES (VLT, Paranal) spectra have a slit-determined resolution of  ~80 000 and a signal-to-noise ratio S / N ~ 300 near 5000 Å.

The solar abundance was determined using five Sr lines from Table 1, adopting Teff = 5777, log g = 4.44, [Fe/H]  = 0, and ξt = 1 km s-1. The results are largely discrepant in LTE: log ϵSrI = 2.81 ± 0.06 and log ϵSrII = 3.06 ± 0.1. The NLTE model atom successfully eliminates this problem. The abundances from the two ionization stages are fully consistent log ϵSrI = 2.91 ± 0.03 and log ϵSrII = 2.94 ± 0.04 in NLTE. Here, the error corresponds to one standard deviation of the line sample. The NLTE result also agrees with the meteoritic abundance of Sr, log ϵ = 2.90 ± 0.03 dex (Lodders et al. 2009). We note that the meteoritic abundance of Sr given by Asplund et al. (2009), Sr, log ϵ = 2.88 ± 0.03 dex, is slightly lower, which is a consequence of different reference Si abundances. The solar Sr abundance was also determined by Barklem & O’Mara (2000), Andrievsky et al. (2011), and Mashonkina & Gehren (2001). The last two references performed NLTE calculations that generally agree with our results, both in terms of NLTE abundance corrections and absolute abundances. We caution, however, that this agreement is not particularly meaningful, because other parameters in the modeling are different. Mashonkina & Gehren (2001) adopted ξt = 0.8 km s-1 and employed the older (ODF) version of the MAFAGS model atmospheres. Barklem & O’Mara (2000) recovered meteoritic Sr abundance from the neutral Sr lines even in LTE, which is not unexpected because they used ξt = 0.85 km s-1 and the solar Holweger-Müller (1974) model atmosphere9.

The LTE and NLTE Sr abundances determined for the reference stars are given in Table 6 and a line-by-line comparison is shown in Fig. 6. Several examples of synthetic and observed line profiles are shown in Fig. 7. Comparison of the [Sr i/Fe] and [Sr ii/Fe] from Table 6 reveals that the LTE approach predicts a systematic discrepancy between the lines of the two ionization stages that is also evident from the Fig. 6. The difference between the Sr i and the near-IR Sr ii lines, which are almost insensitive to damping, is about 0.3 to 0.5 dex. This is far beyond the uncertainties in stellar parameters, which are  ~80 K for Teff, 0.1 dex for log g, and 0.1 dex for [Fe/H]. Also, the uncertainties of the transition probabilities are far smaller than that (Sect. 2.3).

The NLTE model atom in contrast provides realistic ionization balance, which significantly reduces the scatter between the Sr lines of different ionization stages and excitation energies (Fig. 6). In this respect, a good agreement between the NLTE abundances from the near-IR Sr ii and visual resonance Sr i lines is especially important, because these are very sensitive to NLTE and the effects are of different nature, i.e., overionization-stipulated decrease of opacity in the 4607 line and source function depletion in the lines of the 1   μm triplet.

The analysis of a larger sample of stars supports the importance of NLTE effects on the ionization balance of Sr. This is evident from Fig. 8, which shows the difference between the mean abundances computed using the Sr i and Sr ii lines for a sample of thick-disk and halo RAVE stars with high-resolution spectroscopic follow-up observations (see Ruchti et al. 2011). In LTE, the mean offset between the two ionization stages is  ~0.4 dex and it is alleviated when the NLTE effects are taken into account. A detailed analysis of the data will be presented in Ruchti et al. (in prep.).

We therefore conclude that NLTE must be taken into account in abundance analysis of resonance Sr i and subordinate Sr ii lines in spectra of late-type stars. The resonance Sr ii lines are also sensitive to NLTE effects at low metallicities, and abundances determined in LTE are largely underestimated. It is also important to note that the NLTE effects for Sr might be stronger than our estimates, because of interlocking with NLTE-affected lines of other atoms, as demonstrated by Short & Hauschildt (2006).

thumbnail Fig. 8

NLTE and LTE abundance differences between Sr i and Sr ii lines for the representative sample of thick-disk and halo stars from Ruchti et al. (2011).

5. Conclusions

We investigated the statistical equilibrium of Sr in the atmospheres of late-type stars. The NLTE model atom was constructed using new atomic data, computed with the R-matrix method, which includes levels, transition probabilities, photoionization, and electron-impact excitation cross-sections.

The NLTE effects are significant for the Sr i resonance line at 4607 Å and are stipulated by overionization. For the resonance Sr ii lines, which are typically observed in metal-poor FGK stars, our model predicts small deviations from LTE, although NLTE effects become important at very low metallicity, [Fe/H]  <  −3, reaching  +0.2 dex for very metal-poor turnoff stars. The near-IR Sr ii triplet shows substantial sensitivity to NLTE, and the NLTE corrections vary between  +0.1 and  −0.2 dex depending on the model metallicity, temperature, and surface gravity.

The NLTE model atom was applied to the analysis of the Sun and three stars with well-constrained stellar parameters. In contrast to the LTE approach, the NLTE model recovers ionization and excitation equilibria of Sr for all these reference stars, thus confirming that the NLTE modeling approach developed in this work provides a solid base for future abundance determinations of late-type stars.

The NLTE abundance corrections were provided for the important diagnostic Sr i and Sr ii lines for a grid of model atmospheres in the following range of stellar parameters 4400 ≤ Teff ≤ 6000 K, 2.2 ≤ log g ≤ 4.6,  −4 ≤  [Fe/H]  ≤ 0; for other Sr lines and other models the abundance corrections can be also computed on request.


1

kurucz.harvard.edu/

2

www.pmp.uni-hannover.de/cgi-bin/ssi/test/kurucz/sekur.html. The atomic line data used in this database are taken from Kurucz & Bell (1995).

3

The new atomic data for Sr presented here and in Bautista et al. (2002), including the energy levels, f-values, photoionization, and e-impact excitation cross-sections, can be provided upon request.

4

We note that different notations are standard for atomic physics and spectroscopy, and we chose to respect this difference in our work. Ionization stage of an element is thus indicated by a numerical superscript in Sect. 2.2.1 describing the atomic physics calculations and by a roman numerical in astrophysical application in the other sections.

5

Note that C6 is often computed using the Unsöld (1955, Eqs. (82), (55)) approximation, in which the interaction constant derives from the effective principal quantum number of lower and upper levels of a transition. However, this approximation is known to yield too small damping constants (e.g. Barklem 2007, and references therein).

7

The departure coefficients are defined as the ratio of NLTE to LTE level number densities, .

8

Note that we did not include the H i collisions as discussed in Sect. 4.

9

The semi-empirical Holweger-Müller model atmosphere is hotter than all solar theoretical models by  ~150 K over the line formation layers and, in this way, it “mimics” NLTE effects for some atoms.

Acknowledgments

Based on observations made with the European Southern Observatory telescopes (obtained from the ESO/ST-ECF Science Archive Facility). We thank Luca Sbordone for help with the revision of SIU. We are grateful to the referee Paul Barklem for providing some atomic data and very useful comments that helped to improve the paper.

References

  1. Allen, C. W. 1973 (London: University of London, Athlone Press), 3rd edn. [Google Scholar]
  2. Andrievsky, S. M., Spite, F., Korotin, S. A., et al. 2011, A&A, 530, A105 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Anstee, S. D., & O’Mara, B. J. 1995, MNRAS, 276, 859 [NASA ADS] [CrossRef] [Google Scholar]
  4. Asplund, M., Grevesse, N., Sauval, A. J., & Scott, P. 2009, ARA&A, 47, 481 [NASA ADS] [CrossRef] [Google Scholar]
  5. Badnell, N. R. 1986, J. Phys. B: Atom. Mol. Phys., 19, 3827 [Google Scholar]
  6. Badnell, N. R. 1997, J. Phys. B: Atom. Mol. Phys., 30, 1 [Google Scholar]
  7. Bagnulo, S., Jehin, E., Ledoux, C., et al. 2003, The Messenger, 114, 10 [NASA ADS] [Google Scholar]
  8. Barklem, P. S. 2007, Spectral Line Shapes in Astrophysics, 938, 111 [Google Scholar]
  9. Barklem, P. S., & O’Mara, B. J. 2000, MNRAS, 311, 535 [Google Scholar]
  10. Barklem, P. S., Piskunov, N., & O’Mara, B. J. 2000, A&AS, 142, 467 [NASA ADS] [CrossRef] [EDP Sciences] [MathSciNet] [PubMed] [Google Scholar]
  11. Barklem, P. S., Belyaev, A. K., Spielfiedel, A., Guitou, M., & Feautrier, N. 2012, A&A, 541, A80 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. Bautista, M. A., Gull, T. R., Ishibashi, K., Hartman, H., & Davidson, K. 2002, MNRAS, 331, 875 [NASA ADS] [CrossRef] [Google Scholar]
  13. Belyaev, A. K., & Barklem, P. S. 2003, Phys. Rev. A, 68, 062703 [NASA ADS] [CrossRef] [Google Scholar]
  14. Belyakova, E. V., & Mashonkina, L. I. 1997, AZh, 74, 601 [NASA ADS] [Google Scholar]
  15. Bergemann, M., & Cescutti, G. 2010, A&A, 522, A9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Bergemann, M., Pickering, J. C., & Gehren, T. 2010, MNRAS, 401, 1334 [NASA ADS] [CrossRef] [Google Scholar]
  17. Bergemann, M., Lind, K., Collet, R., Magic, Z., & Asplund, M. 2012, MNRAS, submitted [Google Scholar]
  18. Borghs, G., de Bisschop, P., van Hove, M., & Silverans, R. E. 1983, Hyperfine Interactions, 15, 177 [Google Scholar]
  19. Buchinger, F., Ramsay, E. B., Arnold, E., et al. 1990, Phys. Rev. C, 42, 2754 [NASA ADS] [CrossRef] [Google Scholar]
  20. Burke, P. G., Hibbert, A., & Robb, W. D. 1971, J. Phys. B: Atom. Mol. Phys., 4, 153 [Google Scholar]
  21. Butler, K., & Giddings, J. 1985, Newsletter on Analysis of Astronomical Spectra No. 9, University College London [Google Scholar]
  22. Cowan, J. J., Sneden, C., Burles, S., et al. 2002, ApJ, 572, 861 [NASA ADS] [CrossRef] [Google Scholar]
  23. Drawin, H.-W. 1968, Z. Phys., 211, 404 [Google Scholar]
  24. Drawin, H. W. 1969, Z. Phys., 225, 470 [Google Scholar]
  25. Eissner, W., & Nussbaumer, H. 1969, J. Phys. B: Atom. Mol. Phys., 2, 1028 [Google Scholar]
  26. Farouqi, K., Kratz, K.-L., Pfeiffer, B., et al. 2010, ApJ, 712, 1359 [NASA ADS] [CrossRef] [Google Scholar]
  27. García, G., & Campos, J. 1988, J. Quant. Spec. Radiat. Transf., 39, 477 [Google Scholar]
  28. Gehren, T., Liang, Y. C., Shi, J. R., Zhang, H. W., & Zhao, G. 2004, A&A, 413, 1045 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Gehren, T., Shi, J. R., Zhang, H. W., Zhao, G., & Korn, A. J. 2006, A&A, 451, 1065 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Gratton, R. G., & Sneden, C. 1994, A&A, 287, 927 [NASA ADS] [Google Scholar]
  31. Grupp, F. 2004a, A&A, 420, 289 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Grupp, F. 2004b, A&A, 426, 309 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Gustafsson, B., Edvardsson, B., Eriksson, K., et al. 2008, A&A, 486, 951 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Jehin, E., Magain, P., Neuforge, C., et al. 1999, A&A, 341, 241 [NASA ADS] [Google Scholar]
  35. José, J., & Iliadis, C. 2011, Rep. Prog. Phys., 74, 096901 [NASA ADS] [CrossRef] [Google Scholar]
  36. Kerkeni, B., Barklem, P. S., Spielfiedel, A., & Feautrier, N. 2004, J. Phys. B At. Mol. Phys., 37, 677 [NASA ADS] [CrossRef] [Google Scholar]
  37. Korn, A. J., Shi, J., & Gehren, T. 2003, A&A, 407, 691 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Kurucz, R., & Bell, B. 1995, Atomic Line Data, Kurucz CD-ROM No. 23 (Cambridge, Mass.: Smithsonian Astrophysical Observatory) [Google Scholar]
  39. Lambert, D. L. 1993, Phys. Scr. T, 47, 186 [NASA ADS] [CrossRef] [Google Scholar]
  40. Lindgård, A., & Nielson, S. E. 1977, Atomic Data and Nuclear Data Tables, 19, 533 [CrossRef] [Google Scholar]
  41. Lodders, K., Palme, H., & Gail, H.-P. 2009, Landolt-Börnstein – Group VI Astronomy and Astrophysics Numerical Data and Functional Relationships in Science and Technology Volume, 44 [Google Scholar]
  42. Mashonkina, L., & Gehren, T. 2001, A&A, 376, 232 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Mashonkina, L., Zhao, G., Gehren, T., et al. 2008, A&A, 478, 529 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  44. Parkinson, J. H. 1976, Roy. Soc. London Philos. Trans. Ser. A, 281, 375 [NASA ADS] [CrossRef] [Google Scholar]
  45. Ralchenko, Yu., Kramida, A. E., Reader, J., & NIST ASD Team (2011), NIST Atomic Spectra Database (ver. 4.1.0), http://physics.nist.gov/asd [2012, March 24]. National Institute of Standards and Technology, Gaithersburg, MD [Google Scholar]
  46. Reetz, J. 1999, Ph.D. Thesis, LMU München [Google Scholar]
  47. Ruchti, G. R., Fulbright, J. P., Wyse, R. F. G., et al. 2011, ApJ, 737, 9 [NASA ADS] [CrossRef] [Google Scholar]
  48. Rybicki, G. B., & Hummer, D. G. 1991, A&A, 245, 171 [NASA ADS] [Google Scholar]
  49. Rybicki, G. B., & Hummer, D. G. 1992, A&A, 262, 209 [NASA ADS] [Google Scholar]
  50. Schatz, H., Aprahamian, A., Goerres, J., et al. 1998, Phys. Rep., 294, 167 [NASA ADS] [CrossRef] [Google Scholar]
  51. Short, C. I., & Hauschildt, P. H. 2006, ApJ, 641, 494 [NASA ADS] [CrossRef] [Google Scholar]
  52. Steenbock, W., & Holweger, H. 1984, A&A, 130, 319 [NASA ADS] [Google Scholar]
  53. Surman, R., McLaughlin, G. C., Ruffert, M., Janka, H.-T., & Hix, W. R. 2008, ApJ, 679, L117 [Google Scholar]
  54. Travaglio, C., Hillebrandt, W., Reinecke, M., & Thielemann, F.-K. 2004, A&A, 425, 1029 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  55. Tsuji, T. 2009, A&A, 504, 543 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  56. Unsöld, A. 1955 (Berlin: Springer), 2. Aufl. [Google Scholar]
  57. van Regemorter, H. 1962, ApJ, 136, 906 [NASA ADS] [CrossRef] [Google Scholar]
  58. Wanajo, S., Janka, H.-T., & Müller, B. 2011, ApJ, 726, L15 [Google Scholar]

Online material

Table 3

NLTE abundance corrections for the 4607 Sr I line.

Table 4

NLTE abundance corrections for the 4077 Sr II line.

Table 5

NLTE abundance corrections for the 10036 Sr II line.

All Tables

Table 1

Lines of Sr i and Sr ii selected for abundance calculations.

Table 2

Hyperfine structure and isotopic shift for the 4077 Å line.

Table 6

Basic parameters and the Sr abundances for the selected stars.

Table 3

NLTE abundance corrections for the 4607 Sr I line.

Table 4

NLTE abundance corrections for the 4077 Sr II line.

Table 5

NLTE abundance corrections for the 10036 Sr II line.

All Figures

thumbnail Fig. 1

Grotrian diagram of the Sr i (bottom) and Sr ii (top) model atoms. Only dipole-allowed transitions are shown. This is the most complete model atom used for NLTE calculations of FGK stars to date.

In the text
thumbnail Fig. 2

Partial photoionization cross-sections for the Sr i ground state into the lowest six states of the Sr ii target. The cross-sections are dominated by prominent resonances.

In the text
thumbnail Fig. 3

Total photoionization cross-sections for the selected Sr i levels. Dotted lines show hydrogenic cross-sections. The new cross-sections are up to few orders of magnitude larger than the commonly used hydrogenic approximation.

In the text
thumbnail Fig. 4

Departure coefficients bi of selected Sr i and Sr ii levels for different stellar parameters, Teff, log g, and [Fe/H] (indicated in each sub-plot). Red: Sr i levels, (solid), (dotted), (dashed). Black: Sr ii levels, (solid), (dotted), (dashed).

In the text
thumbnail Fig. 5

NLTE abundance corrections for the Sr i and Sr ii lines. Note the different x-axis scales.

In the text
thumbnail Fig. 6

NLTE and LTE line-by-line Sr abundances for the selected stars. In contrast to LTE (red open circles), the Sr i and Sr ii lines provide consistent abundances in NLTE (black filled circles).

In the text
thumbnail Fig. 7

NLTE and LTE line profiles of the Sr i and Sr ii lines for selected stars compared with observed stellar spectra.

In the text
thumbnail Fig. 8

NLTE and LTE abundance differences between Sr i and Sr ii lines for the representative sample of thick-disk and halo stars from Ruchti et al. (2011).

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.