Free Access
Issue
A&A
Volume 538, February 2012
Article Number A29
Number of page(s) 13
Section Stellar atmospheres
DOI https://doi.org/10.1051/0004-6361/201118039
Published online 30 January 2012

© ESO, 2012

1. Introduction

The evolution of massive stars is governed by two main physical processes: their mass loss (Chiosi & Maeder 1986) and their rotation (Maeder & Meynet 2000). All additional processes directly affecting these properties are thus major contributors to the fate of massive stars. This is the case of magnetism. Since the pioneering work of Babel & Montmerle (1997), it is known that the presence of a large scale surface magnetic field will modify massive stars winds. By deflecting material along the field lines, magnetism affects the wind geometry and structure. Simulations by ud-Doula & Owocki (2002); Ud-Doula et al. (2008, 2009) have shown that equatorial overdensities can be created. Material can either fall back onto the stellar surface or be ejected in the magnetic equatorial plane depending on the interplay with rotation. In the case of very strong magnetic fields, observations and simulations show that a rigid magnetosphere strongly affects the wind structure, creating caps of stellar material in the minima of the magneto-rotational potential (Townsend et al. 2007). Since the wind flow is deflected by the presence of a magnetic field, the way the star loses its angular momentum is affected. In addition, the internal structure of the star is also affected, forcing the star to follow new evolutionary paths. Given the relevance of massive star evolution to many fields of astrophysics (galactic chemical evolution, interstellar dynamics, supernovae and gamma-ray bursts, nucleosynthesis...), it is crucial to understand the magnetic properties of these objects in order to constrain their influence on the evolution and fate of OB stars.

The recent development of powerful spectropolarimeters has revolutionized our view of massive stars magnetism. The first detection of a magnetic field on the Trapezium O-type star Θ1 Ori C (Donati et al. 2002) dates back to less than a decade. This spectroscopically varying and strong X-ray emitting star has revealed a surface kilogauss field organized mostly as a dipole. Subsequent detections have been made on HD 191612 (Donati et al. 2006a), HD 148937 (Hubrig et al. 2008; Wade et al. 2011b), HD 57682 (Grunhut et al. 2009) and HD 108 (Martins et al. 2010). Field strengths are of several hundred Gauss to a few kilogauss and the geometry, when constrained, is consistent with a dipole. The only exception is the O supergiant ζ Ori A (Bouret et al. 2008) for which a more complex field topology was tentatively derived, together with a remarkably weak field of 50–100 G. This raises the question of the origin of magnetism in massive stars. The debate is ongoing. A fossil origin, stable over Myrs and with a rather simple geometry, is supported by some simulations (Braithwaite & Spruit 2004; Duez et al. 2010). In that case, the star retains the original magnetic field of its parental molecular cloud or dynamo field of its convective progenitor. Alternatively, dynamo processes may be at work. In analogy with low mass stars where a convective envelope (or even a fully convective structure) exists, magnetic field might be generated in the convective core of high mass stars and subsequently transported to the surface (Charbonneau & MacGregor 2001; Brun et al. 2005). A dynamo may also operate in the radiative zones of massive stars (Spruit 2002; MacDonald & Mullan 2004). The field would be produced by the shear in this region. This idea has been tested in numerical simulations, with contradictory results (Braithwaite 2006; Zahn et al. 2007).

However, assuming that this dynamo process was able to produce and maintain a magnetic field, evolutionary calculations have been conducted to test the effects of this type of magnetism on the evolution of massive stars (Maeder & Meynet 2004). They find that the internal structure is strongly affected, with a completely different rotation profile in the star compared to non-magnetic calculations including rotation. A consequence of this re-organization of the stellar interior is a modification of the transport of angular momentum and of chemical elements. In particular, Meynet & Maeder (2005) studied the effects on the surface chemical appearance of the star. They show that the presence of a dynamo generated magnetic field significantly increases the efficiency of mixing, leading to strong nitrogen and even helium surface enhancement. Further analysis of the feedback effects of magnetic braking balanced these results though, highlighting the importance of the type of rotation profile (differential versus solid-body) in the final chemical appearance of the star (Meynet et al. 2011).

Although still limited, the sample of magnetic O stars is now populous enough to test these predictions. An important side effect of the spectropolarimetric observations is the production of very high signal-to-noise ratio (S/N) optical spectra at high resolution. These are perfectly suited for abundance studies. In this paper, we thus analyze the surface nitrogen content of the magnetic O stars known to date as well as of the B0.2V star τ Sco. Our aim is to see if peculiar chemical patterns are observed and if so, to what extent they can be explained by the current generation of evolutionary models. The goal is to identify specific patterns that can only be attributed to the presence of a magnetic field. This is particularly important in the context of explaining the population of N-rich slowly rotating stars in the Magellanic Cloud reported by Hunter et al. (2008, 2009). Such stars are not explained by rotating evolutionary tracks and have been suggested to be magnetic. The observations are presented in Sect. 2. We describe the analysis with atmosphere models in Sect. 3. The results are discussed in Sect. 4. We show how the chemical properties of the magnetic O stars can be interpreted in terms of evolutionary models with rotation and with or without magnetic field. We finally summarize our conclusions in Sect. 5.

Table 1

Summary of observations.

2. Stellar sample and observational data

2.1. Observations

The observations were collected with the échelle spectropolarimeters ESPaDOnS at CFHT (Canada-France-Hawaii Telescope) and NARVAL at TBL (Télescope Bernard Lyot), partly from the MiMeS project (Wade et al. 2011a). The spectra cover the wavelength range 3700–10 500 Å with a resolution of 68 000 (ESPaDOnS) and 65 000 (NARVAL). We gathered multiple sequences for each of the sample stars, each sequence consisting of four individual subexposures taken in different polarimeter configurations. From these four individual subexposures, mean Stokes parameters were derived. All frames were processed using Libre-ESpRIT (Donati et al. 1997), a fully automatic reduction package installed at CFHT and TBL for optimal extraction of ESPaDOnS and NARVAL spectra. The peak S/Ns per 2.6 km s-1 velocity bin depends on the instrument, on the exposure time and on weather conditions. Complete references to the spectropolarimetric data are gathered in Table A.1. A summary of the data available is given in Table 1. We used the average of the entire set of spectra for each star, ensuring that no variability in the key diagnostic lines was present among the data.

2.2. Sample stars

Our sample is composed of the six magnetic O stars known to date. Here we give a few details about each of these objects. The journal of observations is shown in Table A.1.

HD 191612 is a member of the Of?p class, first introduced by Walborn (1972). Such stars exhibit, among other peculiarities, variability in their Balmer, He i, C iii and Si iii lines. Donati et al. (2006a) reported the detection of a kilogauss magnetic field on its surface. It is presently well-established that HD 191612 displays two recurrent states, with a period of approximately 538 days (Walborn et al. 2003; Walborn & Howarth 2007; Howarth et al. 2007). These two states are referenced here as “quiet” (i.e. O8 spectral type, Hα in absorption) and “active” (i.e. O6 spectral type, strong wind signatures). We decided to focus on the quiet phase since the photospheric lines, used to derive the stellar parameters and surface abundances, are less contaminated by wind emission than in the active phase. We relied on data taken on August 23rd 2009, corresponding to a phase of 0.393 (see Wade et al. 2011c). The journal of observations in Table 1 presents additional information.

HD 108 is the second Of?p star of our sample. It is very similar to HD 191612, with a long-term variability both photometrically and spectroscopically. However the timescale of this variability is much longer and is estimated to be of about 55 years. The He i and Balmer lines are the most affected, leading to a spectral type changing from 04 to 08. Martins et al. (2010) reported the detection of a (most likely) kilogauss magnetic field on its surface. We used the average of the July-August 2009 subset of the Martins et al. observations in the present study since, as for HD 191612, this corresponds to the minimum of extra emission in the Balmer and He i lines.

HD 148937 is the last member of the Of?p class in our sample. Its variability is much more limited (lower amplitude) than that observed in HD 191612 and HD 108 spectra (Nazé et al. 2008b). The periodicity of the variations of about 7 days, is extremely short compared to the long periods observed in the two other Of?p stars. The HD 148937 spectra were collected during six nights in June 2010.

Θ1 Ori C (HD 37022) is a mid-late type O dwarf. It is the first O star for which a magnetic field was detected (Donati et al. 2002). It is known for its variability, with a period of approximately 15.4 days (Stahl et al. 1996; Wade et al. 2006), the most striking variable spectral features being an inverted P-Cygni profile in the He iiλ4686 line and strong emission features in the Balmer lines (especially Hα and Hβ). The equivalent width of some He and metal lines also vary as a function of the phase (Simón-Díaz et al. 2006, and references therein).

Spectropolarimetric observations of ζ Ori A were collected with NARVAL in 2007 October. Altogether, 336 circular polarization sequences were taken. The peak S/N per 2.6 km s-1 velocity bin varies between 800 and 1500. ζ Ori A probably has a short rotation period of approximately 7 days and a weak magnetic field (Bouret et al. 2008). Although some spectral lines appear variable, the main diagnostics used to derive photospheric parameters remain stable during the rotation cycle.

HD 57682 is an O9 sub-giant. Its magnetic field of strength 1.7 kG was reported by Grunhut et al. (2009). HD 57682 displays spectral variability but on a much lower level compared to HD 191612 and HD 108. Its rotational period is estimated to be  ~64 days (Grunhut et al. 2011). In the present work, we used a set of exposures taken between May 4th and May 9th 2009.

Finally, we have included τ Sco (HD 149438) in our sample. Although not an O-type star per se, τ Sco is an early B dwarf (spectral type B0.2V) just at the limit of the O star mass range. Since a magnetic field of the order 300 G has been clearly detected on its surface (Donati et al. 2006b), it was justified to add it to our otherwise relatively limited sample. The geometry of the magnetic field is quite complex, with energy in multipoles up to order five. The origin of the field is debated, although a fossil origin is preferred. We have used a selection of spectra taken between 2005 and 2008 to conduct our analysis.

To maximize the S/Ns, we used the average of the observations presented in Table A.1 for all stars. This resulted in spectra with S/N above 1000.

3. Spectral analysis

3.1. Model atmospheres

The spectroscopic analysis was performed with the atmosphere code CMFGEN (a complete description of the code is provided by Hillier & Miller 1998). The models include stellar winds and are computed in spherical geometry. The code solves simultaneously the radiative transfer equation (in the co-moving frame) and the rate equations, following an iterative scheme. The computations provide non-LTE occupation numbers. The temperature structure is given by the radiative equilibrium equation and the density structure by the mass conservation equation.

Line-blanketing is included in CMFGEN through a super-level formalism in order to reduce the computational cost. Our models include H, He, C, N, O, Si, Ne, Mg, Si, S, Fe and Ni. For each species, the solar abundances from Grevesse et al. (2007) were taken as reference.

The wind structure is described by a mass loss rate, a terminal velocity and a β-velocity law (Pauldrach et al. 1986; Kudritzki et al. 1989). The subsonic part of the atmosphere is described by a pseudo-hydrostatic structure, computed with the TLUSTY code (Lanz & Hubeny 2003) with a micro-turbulent velocity ξt = 10 km s-1. The velocity structure of the atmosphere is then fully defined by connecting the subsonic and the supersonic components. We have used clumped models, with a volume filling factor of 0.1 (0.01 for ζ Ori – see Bouret et al. 2008; and HD108 – see Nazé et al. 2008a). The other wind parameters have been adopted from the literature (Donati et al. 2006b; Bouret et al. 2008; Nazé et al. 2008a; Grunhut et al. 2009; Wade et al. 2011c,b).

Once a model atmosphere is converged, the final synthetic spectrum is obtained from a formal solution of the radiative transfer equation. A depth-dependent micro-turbulent velocity ξt(r), equal to 5–10 km s-1 at the base of the wind (ξ0) and to about 10% of the terminal velocity far from the photosphere (ξ), is allowed. The value ξt used for the models has very little effect on the atmosphere structure, and consequently on the emergent spectrum. On the other hand, ξ0 may modify the shape and strength of the photospheric lines. We found that a value of 10 km s-1 gave satisfactory fits for most stars, except HD 57682 (the most sharp-lined star of the sample) for which a value of 5 km s-1 was better.

Table 2

Stellar parameters derived from quantitative analysis with atmosphere models.

3.2. Stellar parameters

The stellar parameters of our best models are gathered in Table 2. They correspond to the set of parameters that best fit the observed spectrum of the respective sample star. The uncertainties are indicated for each parameter. We will detail below how we determined the uncertainties on the nitrogen abundance. The errors on effective temperature and surface gravity depend on the quality of the fits we obtain, and are used to compute the errors on luminosity, radius and mass. The main source of uncertainty on the luminosity is the distance.

We derived the effective temperature by the ionization balance method. In practice, the relative strength of He i and He ii lines was used. We relied preferentially on He i λ4471 and He ii λ4542. Additional diagnostics were: He i λ4026, He i λ4388, He i λ4712, He i λ4920, He i λ5876, He ii λ4200, He ii λ5412. In the Of?p stars, the He i lines are partly contaminated by some additional emission the origin of which is unclear. The contamination is the largest in the “active” states, i.e. when the C iii λ 4650 lines have their maximum emission strength. Consequently, the temperature determination is difficult in those states and this explains why we rely on the quiet states whenever possible.

The Balmer line wings are the best surface gravity diagnostics available in optical spectra. We relied mainly on Hβ, Hγ and Hδ to constrain log g. In the Of?p stars, the Balmer lines suffer from the same contamination as the He i lines in the active state. Fortunately, the wings, especially the blue one, are relatively unaffected by this contamination, allowing a safe gravity determination. Note that Hδ is blended with NIII λ4097, rendering the use of this line less suitable. It is used as a secondary indicator.

The luminosities are computed in two ways. If calibrated UV flux and optical-infrared photometry is available, the spectral energy distribution is fitted. The Galactic extinction laws of Seaton (1979) and Howarth (1983) are used to derive the extinction. The luminosity is adjusted to match the SED, for a given distance. If only optical photometry is available, we derived the luminosity from the V band magnitude, the effective temperature, the bolometric correction (from Martins & Plez 2006), the extinction (calculated from B − V) and the distance. Once known, the luminosities directly provide the radii.

The distance of the Orion stars is set to d = 414 ± 50 pc (Menten et al. 2007). The distance to the Of?p stars is determined by their supposed membership to OB associations, and was taken from Humphreys (1978). HD 108 belongs to the Cas OB5 association. We kept the luminosity derived by Martins et al. (2010) assuming a distance of 2.51  ±  0.10 kpc and fitting the spectral energy distribution. HD 148937 is a member the Ara OB1 association, at a distance of 1.38  ±  0.12 kpc. HD 191612 belongs to the Cyg OB3 association, at a distance of 2.29  ±  0.12 kpc. τ Sco has a reliable Hippacros parallax leading to a distance of 145  ±  11 pc.

Grunhut et al. (2009) assumed the luminosity of HD 57682 to be typical of a late O-type star and thus adopted the calibrated value of Martins et al. (2005). From this luminosity and the fit to the IUE spectrum, they derived a distance of 1.3 kpc. We adopted their luminosity for our own models

The projected rotational velocities and macroturbulent velocities have been determined from the fit of He i 4713. A first guess of V sin i was obtained from the line Fourier transform. It usually led to an upper limit, no zero being observed above the noise level. We then used various combinations (V sin i/vmac) to convolve synthetic spectra and selected the values best representing the observed line profile (see also Howarth et al. 2007). We used a Gaussian profile to take macroturbulent velocities into account.

thumbnail Fig. 1

Example of fit of the nitrogen lines in HD 57682. The observed spectrum is the black solid line. The smooth colored lines are models with the best fit parameters and different values of N/H. The χ2 function is evaluated using these models to constrain the value of surface nitrogen content. In the present case, N/H = 1.3    ×    10-4 is the preferred value (see Fig. 2, red curve). More models with additional N/H values have been calculated but only four are shown for clarity.

3.3. Surface nitrogen abundance

The main purpose of the present work is to derive surface nitrogen abundances as accurately as possible, in order to compare them to the predictions from stellar evolution models.

This task is challenging considering that the optical spectra of O stars exhibit a small number of nitrogen lines, and that most of these lines are relatively weak. In practice, we have used all nitrogen lines that our models were able to reproduce. Since we have a relatively heteregeneous sample of stars in terms of effective temperature, the number of lines used is different for each star. The only common lines are the N iii 4510–4525 features. These lines are relatively free of contamination and do not suffer from severe blending. Their formation do not seem to be affected by line-blanketing effects. Their lower levels are connected to the N iii ground level by transitions at 434 Å, a region relatively free of metallic lines. Hence, subtle radiative transfer effects such as those reported by Najarro et al. (2006) are not expected. For HD 57682 and τ Sco we took advantage of the relatively large number of N ii lines present in the observed spectra. For the Of?p stars, we only relied on N iii features since the stars are too hot to display N ii lines and N iv 4058 was clearly not reproduced. This inconsistency is probably not related to an ionization issue since for stars with lower Teff the N iii/N ii balance matches the He ii/He i balances. Rivero Gonzalez et al. (2012) reported that in some of their models, they could not correctly reproduce this feature (as well as other N iv lines). Part of the problem might be due to the sensitivity of these lines to wind properties (Rivero Gonzalez et al. 2012). We did not perform an investigation of the wind properties of these objects, and thus we refrained from using this line when clear inconsistencies were observed. In addition, since magnetic field severely complicates the determination of wind properties (due to geometry, clumping), it is very likely that N iv 4058 is not perfectly predicted by our spherical models. Similar considerations can be applied to the strong N iii 4634–4643 lines. Rivero Gonzalez et al. (2011) showed that the onset of the wind was critical in the formation of this triplet. We note in addition that blends with O ii lines exist at 4643 Å. We thus used these lines only when pure absorption was observed. Besides, the Of?p stars are known to display narrow N iii 4634–4643 emission lines of unknown origin (e.g. Nazé et al. 2008a). In the case of Θ1 Ori C, we could reliably use only the N iii 4510–4525 and N iii 4095 features (the latter being located in the wing of Hδ and thus subject to more uncertainties). All the other N iii features were too weak.

thumbnail Fig. 2

Chi squares computed for HD 57682 as a function of the nitrogen abundance. Each color represents a parameter set: red for the best fit model (parameters given in Table 2), green for variations of the surface gravity (±0.1 dex with respect to the best fit model) and finally, blue for variations of the effective temperature (± 1000 K with respect to the best fit model). The symbols correspond to the models computed. The different curves are polynomial fits to the respective set of symbols. The black dot with the error bars shows the position of the final N/H value and its uncertainty.

Special care was taken to estimate the error bars on the derived surface nitrogen abundances. To do so, we proceeded as follows: for the best fit model (best values of Teff and log g) we ran models at different nitrogen abundances. We then computed two new series of models with Teff increased (respectively decreased) by the uncertainty on Teff. We proceeded similarly for two series of models with the best estimate of Teff, but log g increased (decreased) by the uncertainty on log g. We ended up with five series of models with 5–8 values of N/H for each series. Figure 1 shows an illustration of the model fits to the observations in the case of HD 57682.

We then estimated the preferred N/H content for each serie. For that, we calculated for the entire set of lines (1)where Mi is the model spectrum, Si the observed spectrum, σi the uncertainty on the observed spectrum and N the number of wavelength points over which the function is estimated. We determined the value of N/H that minimizes the chi-square for each set of parameters (Teff, log g). An illustration of χ2 versus N/H for the various models computed for HD 57682 is given in Fig. 2.

To obtain the final value of N/H, we determined the best fit value for each combination (Teff, log g) and computed the average and one σ dispersion of this set of values. The final values are given in Table 2.

To further check the robustness of our determinations, we ran a few additional tests. In particular, we tested the effect of a change of the microturbulent velocity in the atmosphere model computation (not just the output synthetic spectrum). Increasing this velocity from 5 to 10 km s-1 translates to a decrease of the derived abundance by 15–20%. Although not negligible, this is within the uncertainties of our determinations.

Abundance determination have been performed by Morel (2011) for two our our sample stars: HD 57682 and τ Sco. For the latter, our results are in very good agreement (12 + log (N/H) = 8.15 ± 0.06 versus 8.15  ±  0.20). Przybilla et al. (2010) also found a value of 8.16  ±  0.12, in good agreement with our findings. For HD 57682, we derive a nitrogen content much larger than Morel (2011) (8.11  ±  0.10 versus 7.52  ±  0.25). We attribute partially this discrepancy to the use of Kurucz models in the Morel et al. study. Another cause of the problem can be a different line list used to perform the analysis. However, we do not have access to the lines used by Morel et al. and cannot test this possibility.

Table 3

Lines used to perform Nitrogen abundance determination.

thumbnail Fig. 3

Hertzsprung-Russel diagram for the sample magnetic OB stars. The isochrones and the evolutionary tracks are from Brott et al. (2011) and were computed with an initial rotational velocity of 300 km s-1.

4. Stellar magnetism and nitrogen enrichment

4.1. Comparison to predictions of rotating models without magnetic field

In Fig. 3 we show the Hertzsprung-Russel (HR) diagram with the positions of the magnetic OB stars analyzed in the present study. We have chosen the evolutionary tracks and isochrones of Brott et al. (2011). Other evolutionary tracks exist in the literature, but the Brott et al. tracks have been computed for a large set of initial rotational velocities, allowing an investigation of the effects of rotation on the results. In addition, they have the same initial metal content as that used in our atmosphere models, rendering possible comparison between our results and the predictions of evolutionary calculations. Compared to the recent Geneva tracks (Ekström et al. 2012) they predict a stronger nitrogen enrichment at a given age (for moderate and zero rotation) during the early evolution representing our sample stars. Consequently, our conclusions regarding a possible extra enrichment of magnetic stars would be re-enforced if we were using the Geneva tracks (see below). In Fig. 3, we have selected the evolutionary tracks with an initial rotational velocity of 300 km s-1. This value is typical since it is supposed to lead to an average rotation on the main sequence similar to that observed (Maeder & Meynet 2000).

From the HR diagram, one can estimate the evolutionary mass of each individual star. This is done by simple interpolation between the available tracks. The results are given in Table 2. The uncertainties reflect the errors on the effective temperature and luminosity. The age of the stars can also be tentatively derived. The ages are just a way of evaluating the degree of evolution of a given star. They are directly used to build Fig. 4 where we show the surface nitrogen content as a function of age. This plot, together with the HR diagram, can tell us if a star is evolving according to the predictions of standard evolutionary models, or if significant deviations are detected.

thumbnail Fig. 4

N/H as a function of age. Black solid lines are the predictions of evolutionary models including rotational mixing with an initial rotation rate of 300 km s-1. Models are from Brott et al. (2011). The symbols are the magnetic O stars studied in the present paper.

Let us take HD 148937 as an example. From the HR diagram, its evolutionary mass should be  M. The star is  Myr old. Looking at Fig. 4, we see that for this range of ages, the surface nitrogen content of HD 148937 is consistent with stars of initial mass 60 M. This is thus consistent with the estimated initial mass of HD 148937, from which one can conclude that this star does seem to have normal surface abundance for its evolutionary status. A similar conclusion can be drawn for HD 191612 and HD 108, although for the latter a hint of extra enrichment is not excluded.

τ Sco has an initial mass of about 16 M. Compared to the 15 M evolutionary tracks, its nitrogen content is rather high. Only for an effective temperature at the low limit of the derived range (and thus a relatively old age) can the N content be barely reconciled with the predictions. HD 57682 also has a nitrogen content 2 to 3 times the initial value. This value is marginally compatible with a 22 M star provided its age is on the upper side of the range of possible values. Hence, τ Sco and HD 57682 quite possibly show some extra enrichment. Θ1Ori C is very similar in mass but it is too young to have produced a significant amount of nitrogen and thus the low N/H we derive is not unexpected.

The last star of our sample, ζ Ori A, is the oldest and most evolved of the magnetic O stars. At an age of 3.7  ±  0.6 Myr and with an initial mass of , its surface N/H should reach at least 2.0 × 10-4. We derive a value about 4 times lower (4.4 ± 1.0 × 10-5). As already noted by Bouret et al. (2008), ζ Ori A is thus particularly chemically unevolved for its age.

thumbnail Fig. 5

Same as Figs. 3 and 4 but for initial rotational velocities of 100 km s-1. The initial masses derived from the evolutionary tracks are gathered in Table 5.

Table 4

Magnetic spin-down timescales and ages.

So far, we have compared the properties of the magnetic O stars to evolutionary models with an initial rotational velocity of 300 km s-1. This value leads to an average velocity on the main sequence consistent with observations of normal O stars. However, one might wonder if this value is appropriate for magnetic stars. The presence of a magnetic field is known to reduce the rotation rate as illustrated by Townsend et al. (2010) in the case of σ Ori E. Donati et al. (2006a) and Martins et al. (2010) have also noted the extremely low rotation of HD 191612 and HD 108. The question is: were these stars slow rotators already on the zero age main sequence? If so, the comparison with low V sin i evolutionary tracks is necessary. Table 4 presents the spin down timescales due to magnetic braking calculated according to Ud-Doula et al. (2009). We have also listed the ages estimated from Figs. 3 and 5. As noted by Donati et al. (2006a) and Martins et al. (2010), HD 191612 and HD 108 have spin down timescales marginally compatible with their age, implying that they might have experienced a reduction of their rotation rate by a factor 2–3. However, given their very low present-day V sin i, those stars probably had initial projected rotational velocities not higher than a few tens of km s-1. All the other magnetic O stars have spin down timescales longer than their age. Given their rather low V sin i (with the exception of ζ Ori A), these stars were also most likely slow rotators on the zero age main sequence. The youngest star of our sample (Θ1Ori C) confirms this trend: it is located close to the ZAMS and features a low V sin i (by O star standards).

In view of these comments, we show in Fig. 5 the HR and N/H-age diagrams with evolutionary tracks computed for an initial rotational velocity of 100 km s-1. Using these plots, we can see how the effects of rotation affect the previous results. The evolutionary masses derived from these new tracks are given in Table 5. The three Of?p stars (HD 108, HD 148937 and HD 191612) all appear to be much more N-rich than predicted by the 60 M evolutionary track, and thus more enriched than expected for their mass. τ Sco is now very clearly enriched compared to the 15 M tracks which barely departs from the initial N content in the first 6 Myr. For HD 57682, an extra enrichment is also clearly present. For Θ1Ori C, again the young age prevents any firm conclusion other than that no dramatic nitrogen enrichment is observed. For ζ Ori A the surface chemical pattern is lower than predicted by the evolutionary tracks although marginal agreement exists if extreme stellar parameters are used.

Table 5

Evolutionary masses derived for different initial rotational velocities.

Given the above discussion, the following conclusions can be drawn:

  • ζ Ori A: for moderate rotation rate, the low N content cannot be explained by standard mixing. Some extra process leading to the quenching of rotational mixing is necessary to explain the peculiar N/H ratio. The conclusion remains valid for low rotation rates, although the agreement with the expected N/H ratio is marginal given the uncertainties on the age and surface nitrogen content.

  • HD 108, HD 148937, HD 191612, τ Sco and HD 57682: under the reasonable assumption that these stars were slow rotators on the zero main sequence (i.e. initial rotation velocity of a few tens of km s-1), all stars show a higher degree of nitrogen enrichment than non-magnetic evolutionary models predict. In the less likely case where the initial rotational velocity was normal (i.e. around 300 km s-1), HD 108, HD 57682, τ Sco and HD 191612 show marginal evidence for extra enrichment, while HD 148937 appears normal.

  • Θ1Ori C: this star does not show peculiar nitrogen enrichment whatever the initial rotational speed. This is most likely because it is too young.

thumbnail Fig. 6

Same as Fig. 3 with comparison stars added (grey squares). The comparison stars are from Bouret et al. (2005), Martins et al. (2012), Bouret et al. (in prep.), Escolano et al. (in prep.), Hunter et al. (2009) and Przybilla et al. (2010). The size of the symbols (including the six magnetic O stars) is now proportional to the N/H value. The evolutionary tracks are for v = 300 km s-1.

4.2. Comparison to non-magnetic stars

To further investigate the surface chemical properties of the six magnetic O stars, we show in Fig. 6 the same HR diagram as in Fig. 3 to which we have added comparison O stars. The latter objects have been taken from Bouret et al. (2005), Martins et al. (2012), Bouret et al. (in prep.), Escolano et al. (in prep.), Przybilla et al. (2010) and Hunter et al. (2009). All O stars have been analyzed with CMFGEN in the same way as in the present study. In Fig. 6 we encode the value of N/H by the size of the symbol for each star (including the magnetic O stars). In the upper part of the HR diagram, HD 108 and HD 148937 fall in a densely populated group of O supergiants with N/H larger than 2.0 × 10-4. They thus appear as similarly enriched compared to these objects, and present no peculiarity in their chemical pattern provided they were initially rotating at about 300 km s-1 (but see below).

HD 191612 is located at a lower luminosity than the two other Of?p stars. In that region of the HR diagram, the surface nitrogen abundance of the few O stars present a large range of values, from less than 10-4 to more than 4.0 × 10-4. In addition, the less evolved stars are more enriched than the more evolved objects. Given these puzzling results, the surface abundance of HD 191612 do not appear to deviate from the general trend, but the large range of N/H values observed in that part of the diagram prevents any firm conclusion regarding its “normality”.

The last star in the upper part of the HRD is ζ Ori A. Its surface nitrogen content strongly deviates from the values observed in neighboring stars. The O supergiants analyzed so far all show significant N enrichment (N/H > 2.0 × 10-4) while ζ Ori A is basically chemically unevolved. This confirms our previous conclusions that this star clearly shows peculiar chemical properties.

Going down in the HR diagram, we find Θ1Ori C and HD 57682 very close to each other. Only three O stars are located close enough to allow a quantitative comparison. These objects show a wide range of N/H values, from less than 1.0 × 10-4 to more than 4.0 × 10-4. Both Θ1Ori C and HD 57682 show relatively modest enrichment. This is consistent with the two less enriched comparison stars. Hence, the two magnetic stars do not seem to stand out as peculiar objects. Finally, close to the location of τ Sco we have found very few comparison stars and so we cannot draw any relevant conclusion.

At first sight, this comparison only exacerbates the peculiar properties of ζ Ori A. All the other stars appear similar to non-magnetic O stars. There is however an important property of the magnetic stars to consider: all (except ζ Ori A) are slow rotators. As explained above, there are indications that they might have been slow rotators already on the ZAMS. As such, they are different from the comparison stars which have diverse values of V sin i (32 stars with V sin i from roughly 0 to 330 km s-1 with an average of 116 km s-1). Consequently, finding nitrogen enrichment in HD 108 and HD 148937 (the two objects for which there are sufficient comparison stars to draw firm conclusions) similar to that of comparison stars while they are rotating more slowly can be interpretated as the sign of an especially efficient mixing inside the star. Said differently, the (presumably) initially slowly rotating magnetic stars have the same surface N content as normal O stars. This is an indirect indication that the presence of a magnetic field in those objects tends to favor the transport of nitrogen from the core towards the surface.

Clearly, a larger sample of magnetic and comparison stars would be needed to strengthen these conclusions. But the above comparisons all indicate that there seems to be two groups of magnetic stars: on one side ζ Ori A which is clearly peculiar, with no nitrogen enrichment in spite of its evolved status and relatively normal rotational velocity; and the other OB stars, especially the Of?p objects, possibly displaying larger enrichment than non-magnetic stars provided they were indeed slow rotators on the ZAMS.

4.3. On the nature of magnetic field in O stars

The origin of magnetic field in massive stars is a matter of debate. The two main possibilities are either a fossil field or a field generated by dynamo processes in the radiative region or the convective core. In the former case, the field might come from the parental molecular cloud, the convective phases during pre-main sequence evolution, of from binarity. Relatively simple geometries are expected in that case. For dynamo generated magnetic fields, several scenarios exists but the Tayler-Spruit dynamo has been the most tested (Spruit 1999, 2002). In this case, an initial poloidal field is transfered into a toroidal field by differential rotation. Later on, the Pitts-Tayler instability develops in the toroidal field and gives birth to a poloidal field. Consequently, the dynamo loop is closed. Controversy exists at present to know if this process is effectively at work. In a series of magneto-hydrodynamical (MHD) simulations, Braithwaite (2006) claim to have observed the onset of the Pitts-Tayler instability and the dynamo loop. But Zahn et al. (2007) conclude differently in their simulations: although the Pitts-Tayler instability seems present, it has no effect on the poloidal field which slowly decreases due to Ohmic decay. Hence the dynamo loop is not closed. A good summary of these processes is provided by Maeder (2009) and Walder et al. (2011; see also Zahn 2011).

Can we provide any constraint on the nature of O star magnetism? Meynet & Maeder (2005) ran evolutionary calculations under the assumption that the Tayler-Spruit dynamo was working. In that case, they could show that one of the main effects was an increase of the mixing and of the efficiency of chemical element transport. The reason is the nearly solid body rotation achieved in the radiative zone in the presence of magnetic field. In non magnetic rotating models, chemical elements are mainly transported by shear turbulence caused by differential rotation. Meridional circulation – created by thermal imbalance due to gravity darkening – contributes little to the transport of elements, but is the main way of redistributing angular momentum. If the star rotates nearly solidly, shear turbulence is reduced, but meridional circulation is greatly enhanced so that the net effect on the transport of chemical species is a much stronger mixing. Meynet & Maeder (2005) report an increase of the surface N/H of a factor 2 to 5 larger than in non magnetic rotating models for a 15 M star of age 5 to 10 Myr. Maeder (2009) note that these results depend on the details of the dynamo process at work and on the strength of the magnetic field. However, the trend seems to be an significant over-enrichment compared to standard rotating models. In their more recent investigation of the role of magnetic braking, Meynet et al. (2011) note that if the star is rigidly rotating, braking is so strong that it suppresses all surface chemical enrichment. Thus the exact role of magnetic field on surface abundances is not clear.

Our results are meant to provide observational constraints that could trigger further theoretical developments. At present, they can confront theoretical predictions as follows:

  • dynamo fields: the evolutionary calculations focus on the Tayler-Spruit dynamo as explained above. One of the expectations of dynamo fields is that, similarly to the sun, they show complex morphologies and not simple dipolar structures. The constraints on the field geometry of magnetic O stars are still scarce, but ζ Ori A stands out one more time (Bouret et al. 2008) since the first observations indicates the possible presence of several magnetic spots. If a dynamo process is producing the magnetic field of that star, then our results indicate that no surface enrichment is observed. According to Meynet et al. (2011; see also Zahn 2011) – this could be the sign of a nearly solid-body rotation and strong braking (see above). However, the projected rotational velocity of ζ Ori A is not especially low (V sin i = 110 km s-1). This is not consistent with a strong braking unless the star was initially rotating very fast. But in that case, would the high level of rotation be compatible with the absence of surface chemical enrichment? Clearly, dedicated simulations are necessary to see if a star with a dynamo field can still be rotating relatively normally and not have produced any surface nitrogen excess after several Myrs.

  • fossil fields: it is usually thought that fossil fields have simple dipolar geometries (Donati & Landstreet 2009). Observations indicate that Θ1Ori C, HD 57682, HD 191612 and HD 148937 have dipolar fields. For HD 108, the phase coverage is too poor to provide any constraint. τ Sco features a more complex magnetic geometry, but Donati et al. (2006b) attributes this to the youth of the star. If a dipole should remain after a few Myrs in fossil field magnetic stars, higher orders are expected to remain in the early evolution, after the formation from the parental molecular cloud. Donati et al. (2006b) thus favoured a fossil origin for the magnetic field of τ Sco. According to Sect. 4, all those objects were initially slow rotators on the ZAMS. Consequently, the observed surface abundances are higher than they would be if there was no magnetic field. In practice, the degree of enrichment corresponds to that observed in stars with initial V sin i of 300 km s-1, while the initial rotational velocity of the magnetic stars was more likely of a few tens of km s-1. Unfortunately, there are no simulations of the effect of fossil fields on the chemical appearance of massive stars to which we can compare these results. We can thus simply state that dipolar, probably fossil fields tend to lead to extra mixing in the interior of O stars. According to the results of Meynet et al. (2011), this requires the presence of strong shear created by differential rotation. Magnetic O stars with fossil fields might thus have a steep velocity structure.

Clearly, the effects of magnetic field on the properties of O stars are still poorly understood. A larger sample of magnetic stars would be needed to see if the apparent separation into two groups (slowly rotating enriched stars/normally rotating non-enriched stars) is confirmed. Analysis of more comparison stars is required too. In parallel, new MHD simulations and evolutionary models, especially including fossil fields, are necessary to better understand the physics at work in the interior and atmosphere of magnetic O stars.

5. Summary and conclusions

We have conducted a quantitative spectroscopic analysis of the six magnetic O stars known to date together with the early B star τ Sco. Spectra collected with ESPADONS at CFHT and NARVAL at TBL have been used. Atmosphere models computed with the code CMFGEN have been computed. We have determined the stellar parameters and the surface nitrogen abundance. A careful investigation of the uncertainties associated with N/H has been pursued.

Our results can be divided into two parts:

  • The surface N/H of ζ Ori A – the star with the weakest magnetic field – is lower than the predictions of evolutionary models. For that star the presence of the magnetic field probably quenches the transport of chemical elements. The conditions under which such a process can happen are not clear. Evolutionary models accounting for magnetic braking predict no chemical enrichment in solid body rotating stars. But their rotational velocities are also rather low, whereas ζ Ori A appears to have a rather standard V sin i.

  • The other magnetic O stars, especially the three Of?p stars, display surface nitrogen content consistent with those of non-magnetic O stars with initial V sin i of 300 km s-1. However, these magnetic O stars were most likely slow rotator on the zero age main sequence (with values of V sin i of a few tens of km s-1 at most). Consequently, they feature larger surface N/H than they should if they did not host magnetic fields as also indicated by their nitrogen excess compared to rotating evolutionary models.

The presence of a magnetic field in O stars thus appears to produce two types of chemical peculiarities: either an extra enrichment, or the absence of enrichment. Confrontations with evolutionary predictions in the case of dynamo fields indicate that solid body rotation might explain the properties of the non-enriched star, but its relatively normal rotational velocity is a puzzle in that context. For the N-rich magnetic O stars, a fossil field is usually assumed. Our results should be a basis for comparison with future evolutionary calculations including fossil fields since such evolutionary models do not exist at present.

Online material

Appendix A: Journal of observations.

Table A.1 provides the complete journal of observations.

Table A.1

Journal of observations.

Acknowledgments

We thank the referee, Jo Puls, for valuable comments and for suggesting to add the star τ Sco to our sample. Many thanks to John Hillier for making his code CMFGEN available and for constant help with it. G.A.W. acknowledges Discovery Grant support from the Natural Science and Engineering Research Council of Canada.

References

  1. Babel, J., & Montmerle, T. 1997, A&A, 323, 121 [NASA ADS] [Google Scholar]
  2. Bouret, J.-C., Lanz, T., & Hillier, D. J. 2005, A&A, 438, 301 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Bouret, J., Donati, J., Martins, F., et al. 2008, MNRAS, 389, 75 [NASA ADS] [CrossRef] [Google Scholar]
  4. Braithwaite, J. 2006, A&A, 449, 451 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  5. Braithwaite, J., & Spruit, H. C. 2004, Nature, 431, 819 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  6. Brott, I., de Mink, S. E., Cantiello, M., et al. 2011, A&A, 530, A115 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  7. Brun, A. S., Browning, M. K., & Toomre, J. 2005, ApJ, 629, 461 [NASA ADS] [CrossRef] [Google Scholar]
  8. Charbonneau, P., & MacGregor, K. B. 2001, ApJ, 559, 1094 [Google Scholar]
  9. Chiosi, C., & Maeder, A. 1986, ARA&A, 24, 329 [NASA ADS] [CrossRef] [Google Scholar]
  10. Donati, J.-F., & Landstreet, J. D. 2009, ARA&A, 47, 333 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
  11. Donati, J., Semel, M., Carter, B. D., Rees, D. E., & Collier Cameron, A. 1997, MNRAS, 291, 658 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
  12. Donati, J.-F., Babel, J., Harries, T. J., et al. 2002, MNRAS, 333, 55 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
  13. Donati, J.-F., Howarth, I. D., Bouret, J.-C., et al. 2006a, MNRAS, 365, L6 [NASA ADS] [CrossRef] [Google Scholar]
  14. Donati, J.-F., Howarth, I. D., Jardine, M. M., et al. 2006b, MNRAS, 370, 629 [NASA ADS] [CrossRef] [Google Scholar]
  15. Duez, V., Braithwaite, J., & Mathis, S. 2010, ApJ, 724, L34 [NASA ADS] [CrossRef] [Google Scholar]
  16. Ekström, S., Georgy, C., Eggenberger, P., et al. 2012, A&A, 537, A146 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Grevesse, N., Asplund, M., & Sauval, A. J. 2007, Space Sci. Rev., 130, 105 [Google Scholar]
  18. Grunhut, J. H., Wade, G. A., Marcolino, W. L. F., et al. 2009, MNRAS, 400, L94 [NASA ADS] [CrossRef] [Google Scholar]
  19. Grunhut, J. H., Wade, G. A., Marcolino, W. L. F., et al. 2011, in Magnetic Stars, Proceedings of the International Conference, held in the Special Astrophysical Observatory of the Russian AS, August 27–September 1, 2010, ed. I. I. Romanyuk, & D. O. Kudryavtsev, 473 [Google Scholar]
  20. Hillier, D. J., & Miller, D. L. 1998, ApJ, 496, 407 [NASA ADS] [CrossRef] [Google Scholar]
  21. Howarth, I. D. 1983, MNRAS, 203, 301 [NASA ADS] [CrossRef] [Google Scholar]
  22. Howarth, I. D., Walborn, N. R., Lennon, D. J., et al. 2007, MNRAS, 381, 433 [NASA ADS] [CrossRef] [Google Scholar]
  23. Hubrig, S., Schöller, M., Schnerr, R. S., et al. 2008, A&A, 490, 793 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  24. Humphreys, R. M. 1978, ApJS, 38, 309 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  25. Hunter, I., Lennon, D. J., Dufton, P. L., et al. 2008, A&A, 479, 541 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  26. Hunter, I., Brott, I., Langer, N., et al. 2009, A&A, 496, 841 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Kudritzki, R. P., Pauldrach, A., Puls, J., & Abbott, D. C. 1989, A&A, 219, 205 [NASA ADS] [Google Scholar]
  28. Lanz, T., & Hubeny, I. 2003, ApJS, 146, 417 [NASA ADS] [CrossRef] [Google Scholar]
  29. MacDonald, J., & Mullan, D. J. 2004, MNRAS, 348, 702 [NASA ADS] [CrossRef] [Google Scholar]
  30. Maeder, A. 2009, Physics, Formation and Evolution of Rotating Stars, ed. A. Maeder (Berlin Heidelberg: Springer) [Google Scholar]
  31. Maeder, A., & Meynet, G. 2000, ARA&A, 38, 143 [NASA ADS] [CrossRef] [Google Scholar]
  32. Maeder, A., & Meynet, G. 2004, A&A, 422, 225 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Martins, F., & Plez, B. 2006, A&A, 457, 637 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Martins, F., Schaerer, D., & Hillier, D. J. 2005, A&A, 436, 1049 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Martins, F., Donati, J., Marcolino, W. L. F., et al. 2010, MNRAS, 407, 1423 [NASA ADS] [CrossRef] [Google Scholar]
  36. Martins, F., Mahy, L., Rauw, G., & Hillier, D. J. 2012, A&A, 538, A39 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Menten, K. M., Reid, M. J., Forbrich, J., & Brunthaler, A. 2007, A&A, 474, 515 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Meynet, G., & Maeder, A. 2005, A&A, 429, 581 [Google Scholar]
  39. Meynet, G., Eggenberger, P., & Maeder, A. 2011, A&A, 525, L11 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Morel, T. 2011, Bulletin de la Societe Royale des Sciences de Liege, 80, 405 [NASA ADS] [Google Scholar]
  41. Najarro, F., Hillier, D. J., Puls, J., Lanz, T., & Martins, F. 2006, A&A, 456, 659 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  42. Nazé, Y., Walborn, N. R., & Martins, F. 2008a, Rev. Mex. Astron. Astrofis., 44, 331 [Google Scholar]
  43. Nazé, Y., Walborn, N. R., Rauw, G., et al. 2008b, AJ, 135, 1946 [NASA ADS] [CrossRef] [Google Scholar]
  44. Pauldrach, A., Puls, J., & Kudritzki, R. P. 1986, A&A, 164, 86 [NASA ADS] [Google Scholar]
  45. Przybilla, N., Firnstein, M., Nieva, M. F., Meynet, G., & Maeder, A. 2010, A&A, 517, A38 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Rivero Gonzalez, J. G., Puls, J., & Najarro, F. 2011, A&A, 536, A58 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  47. Rivero Gonzalez, J. G., Puls, J., Najarro, F., & Brott, I. 2012, A&A, 537, A79 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  48. Seaton, M. J. 1979, MNRAS, 187, 73P [NASA ADS] [CrossRef] [Google Scholar]
  49. Simón-Díaz, S., Herrero, A., Esteban, C., & Najarro, F. 2006, A&A, 448, 351 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Spruit, H. C. 1999, A&A, 349, 189 [NASA ADS] [Google Scholar]
  51. Spruit, H. C. 2002, A&A, 381, 923 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  52. Stahl, O., Kaufer, A., Rivinius, T., et al. 1996, A&A, 312, 539 [NASA ADS] [Google Scholar]
  53. Townsend, R. H. D., Owocki, S. P., & Ud-Doula, A. 2007, MNRAS, 382, 139 [NASA ADS] [CrossRef] [Google Scholar]
  54. Townsend, R. H. D., Oksala, M. E., Cohen, D. H., Owocki, S. P., & Ud-Doula, A. 2010, ApJ, 714, L318 [NASA ADS] [CrossRef] [Google Scholar]
  55. Ud-Doula, A., & Owocki, S. P. 2002, ApJ, 576, 413 [NASA ADS] [CrossRef] [Google Scholar]
  56. Ud-Doula, A., Owocki, S. P., & Townsend, R. H. D. 2008, MNRAS, 385, 97 [NASA ADS] [CrossRef] [Google Scholar]
  57. Ud-Doula, A., Owocki, S. P., & Townsend, R. H. D. 2009, MNRAS, 392, 1022 [NASA ADS] [CrossRef] [Google Scholar]
  58. Wade, G. A., Fullerton, A. W., Donati, J., et al. 2006, A&A, 451, 195 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Wade, G. A., Alecian, E., Bohlender, D. A., et al. 2011a, in IAU Symp. 272, ed. C. Neiner, G. Wade, G. Meynet, & G. Peters, 118 [Google Scholar]
  60. Wade, G. A., Grunhut, J., Gräfener, G., et al. 2011b, MNRAS, 1995 [Google Scholar]
  61. Wade, G. A., Howarth, I. D., Townsend, R. H. D., et al. 2011c, MNRAS, 416, 3160 [NASA ADS] [CrossRef] [Google Scholar]
  62. Walborn, N. R. 1972, AJ, 77, 312 [NASA ADS] [CrossRef] [Google Scholar]
  63. Walborn, N. R., & Howarth, I. D. 2007, in Massive Stars in Interactive Binaries, ed. N. St.-Louis, & A. F. J. Moffat (San Francisco: ASP), ASP Conf. Ser., 367, 401 [Google Scholar]
  64. Walborn, N. R., Howarth, I. D., Herrero, A., & Lennon, D. J. 2003, ApJ, 588, 1025 [NASA ADS] [CrossRef] [Google Scholar]
  65. Walder, R., Folini, D., & Meynet, G. 2011, Space Sci. Rev., in press, DOI:10.1007/s11214-011-9771-2 [Google Scholar]
  66. Zahn, J.-P. 2011, in IAU Symp. 272, ed. C. Neiner, G. Wade, G. Meynet, & G. Peters, 14 [Google Scholar]
  67. Zahn, J.-P., Brun, A. S., & Mathis, S. 2007, A&A, 474, 145 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]

All Tables

Table 1

Summary of observations.

Table 2

Stellar parameters derived from quantitative analysis with atmosphere models.

Table 3

Lines used to perform Nitrogen abundance determination.

Table 4

Magnetic spin-down timescales and ages.

Table 5

Evolutionary masses derived for different initial rotational velocities.

Table A.1

Journal of observations.

All Figures

thumbnail Fig. 1

Example of fit of the nitrogen lines in HD 57682. The observed spectrum is the black solid line. The smooth colored lines are models with the best fit parameters and different values of N/H. The χ2 function is evaluated using these models to constrain the value of surface nitrogen content. In the present case, N/H = 1.3    ×    10-4 is the preferred value (see Fig. 2, red curve). More models with additional N/H values have been calculated but only four are shown for clarity.

In the text
thumbnail Fig. 2

Chi squares computed for HD 57682 as a function of the nitrogen abundance. Each color represents a parameter set: red for the best fit model (parameters given in Table 2), green for variations of the surface gravity (±0.1 dex with respect to the best fit model) and finally, blue for variations of the effective temperature (± 1000 K with respect to the best fit model). The symbols correspond to the models computed. The different curves are polynomial fits to the respective set of symbols. The black dot with the error bars shows the position of the final N/H value and its uncertainty.

In the text
thumbnail Fig. 3

Hertzsprung-Russel diagram for the sample magnetic OB stars. The isochrones and the evolutionary tracks are from Brott et al. (2011) and were computed with an initial rotational velocity of 300 km s-1.

In the text
thumbnail Fig. 4

N/H as a function of age. Black solid lines are the predictions of evolutionary models including rotational mixing with an initial rotation rate of 300 km s-1. Models are from Brott et al. (2011). The symbols are the magnetic O stars studied in the present paper.

In the text
thumbnail Fig. 5

Same as Figs. 3 and 4 but for initial rotational velocities of 100 km s-1. The initial masses derived from the evolutionary tracks are gathered in Table 5.

In the text
thumbnail Fig. 6

Same as Fig. 3 with comparison stars added (grey squares). The comparison stars are from Bouret et al. (2005), Martins et al. (2012), Bouret et al. (in prep.), Escolano et al. (in prep.), Hunter et al. (2009) and Przybilla et al. (2010). The size of the symbols (including the six magnetic O stars) is now proportional to the N/H value. The evolutionary tracks are for v = 300 km s-1.

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.