Issue 
A&A
Volume 543, July 2012



Article Number  A18  
Number of page(s)  5  
Section  Stellar atmospheres  
DOI  https://doi.org/10.1051/00046361/201219439  
Published online  20 June 2012 
Ostar massloss rates at low metallicity
Astrophysics Group, Blackett Laboratory, Imperial College London, Prince Consort Road, London SW7 2AZ, UK
email: l.lucy@imperial.ac.uk
Received: 18 April 2012
Accepted: 11 May 2012
Mass fluxes J are computed for the extragalactic O stars investigated by Tramper et al. (2011, ApJ, 741, 8 – TSKK). For one earlytype O star, computed and observed rates agree within errors. However, for two latetype O stars, theoretical massloss rates underpredict observed rates by ~1.6 dex, far exceeding observational errors. A likely cause of the discrepancy is overestimated observed rates due to the neglect of windclumping. A less likely but intriguing possibility is that, in observing O stars with Z/Z_{⊙} ~ 1/7, TSKK have serendipitously discovered an additional massloss mechanism not evident in the spectra of Galactic O stars because of their powerful radiationdriven winds. Constraints on this unknown mechanism are discussed. In establishing that the discrepancies, if real, are inescapable for purely radiationdriven winds, failed searches for highJ solutions are reported and the importance stressed of a numerical technique that cannot spuriously create or destroy momentum. The Zdependences of the computed rates for Z/Z_{⊙} ∈ (1/30,2) show significant departures from a single power law, and these are attributed to curveofgrowth effects in the differentially expanding reversing layers. The bestfitting powerlaw exponents range from 0.68−0.97.
Key words: stars: earlytype / stars: massloss / stars: winds, outflows
© ESO, 2012
1. Introduction
By observing O stars in nearby dwarf galaxies with metallicities (Z) below that of the Small Magellanic Cloud, Tramper et al. (2011, hereafter TSKK) have extended the range of Z over which Ostar winds have been detected and analysed. The resulting massloss rates (Φ) for Z/Z_{⊙} ~ 1/7 are surprisingly high, leading the authors to question the Vink et al. (2001) scaling law Φ ∝ Z^{α} with α = 0.69 ± 0.10.
Because of this result’s importance for the later evolutionary phases of massive stars and perhaps also for the theory of stellar winds, models computed with the TSKK stars’ effective temperatures (T_{eff}) and surface gravities (g) are of interest in order to quantify discrepancies without relying on scaling laws. In addition, the validity of powerlaw scaling merits investigation. Accordingly, in this paper, mass fluxes J = Φ/4πR^{2} are computed for a wide range of Z at several points in (T_{eff},g)space.
Throughout this paper, the units of J and Φ are gm s^{1} cm^{2} and ⊙ yr^{1}, respectively. In these units, (1)
2. Mass fluxes
In this section, the assumptions and procedures adopted when computing J from the theory of moving reversing layers (RL’s) are briefly reviewed, as are the curveofgrowth (CoG) effects that control J’s dependence on Z.
2.1. Assumptions
The fundamental assumption is that the Φ of a stationary, radiationdriven wind is determined by the constraint of regularity at the sonic point – i.e., that the transonic flow makes a smooth (analytic) transition from sub to supersonic velocities. This assumption dates back to Lucy & Solomon’s (1970, LS70) primitive theory of dynamic RL’s and retains its role in updated versions (Lucy 2007, 2010a,b, hereafter L07, L10a and L10b, respectively).
Additional assumptions are: 1) planeparallel, isothermal flow; 2) continuum emission occurs only at the lower boundary of the SchusterSchwarzschild RL and has the frequency distribution of the TLUSTY model atmosphere with the prescribed T_{eff},g and Z (Lanz & Hubeny 2003); 3) line formation occurs by noncoherent scattering with complete redistribution in the fluid frame; 4) line broadening is due radiation damping and Doppler broadening with microturbulent velocity v_{t} = 10 km s^{1}; 5) the RL’s upper boundary condition of no incoming radiation is imposed at velocity v = 5a, where a is the isothermal sound speed.
2.2. Procedures
This multiline transfer problem in a differentially expanding RL is treated with a Monte Carlo (MC) technique. This has the considerable merit of coding simplicity but has the drawback that , the MC estimate for the contribution of lines to the radiative acceleration, is not analytic. This poses the problem of how to determine the eigenvalue J from the regularity condition (2)where g_{ ∗ } = g − g_{e} and g_{e} is the radiative acceleration due to electron scattering.
The procedure developed in L07 and L10b replaces this point constraint by an integral constraint Q_{1,2} = 0, which is here conveniently rewritten as (3)where the heights x_{1} and x_{2} correspond to v/a ≈ 1/2 and ≈ 2, respectively. The interval (x_{1},x_{2}) includes the sonic point but excludes zones where the solution is affected by inexact boundary conditions.
A MC simulation with indivisible photon packets is carried out in a model RL derived from the trial solution: at v_{i} for i = 1,2,...,k,...,I with at v_{k} = a. The resulting estimates then allow the lefthand side of Eq. (3) to be evaluated numerically, thereby testing if the equation is satisfied. With trialanderror adjustments of for i ≠ k, sequences of such simulations allow the eigenvalue J to be determined (L10a,b).
This numerical procedure achieves consistency with the posed integrodifferential problem in the limits I → ∞ and , provided that the iterative adjustments of J and the have resulted in exact agreement between and throughout the RL.
The main weakness at present of this technique is its reliance on trialanderror adjustment. In consequence, each solution demands a large commitment of the investigator’s time. A reliable iterative algorithm is needed if large numbers of solutions are required.
Because the MC quanta are indivisible, none are created or destroyed within the RL. Accordingly, this MC technique does not spuriously create or destroy momentum. The sonicpoint momentum flux Ja therefore derives from identifiable physical processes.
2.3. Curveofgrowth effects
Classically, the CoG refers to static RL’s and relates the emergent line profile and its equivalent width to N, the absorbing ion’s column density above the photosphere. However, the physical effects underlying the CoG are also relevant (LS70) to the J that can be radiativelydriven through the sonic point since g_{ℓ} at v = a depends on the comoving radiation field, and this reflects line formation throughout the RL, including the quasistatic layers close to the photosphere.
For simplicity, consider an outflow driven by one line from an atmosphere with continuum absorption due only to H and imagine varying Z with fixed T_{eff},g. We follow the discussion in LS70 for the λ1548 Å component of the Civ doublet when the dominant ion is Ciii. For vanishingly small Z – i.e., negligible line formation, , the ground state number density at v^{†} = a. On the assumption of an ionization balance between radiative recombinations and photoionizations, . Accordingly, the sonic point constraint is obeyed at density ρ^{†} ∝ Z, whence J = ρ^{†}v^{†} ∝ Z.
In this weakline limit, J ∝ Z because of increasing N. This effect is seen in Fig. 2 of LS70 at log T_{eff} ≈ 4.55 and at ≈ 4.25, where increasing N is due to shifting ionization balance as T_{eff} increases.
When increasing Z invalidates the weakline limit, line formation reduces the comoving flux seen by ions at v ~ a and so J(Z) flattens, reaching a maximum at , when all the photon momentum accessible with one line is converted into momentum of the transonic flow (LS70). In terms of the dimensionless rate φ = Φc^{2}/L, this maximum corresponds to φ ~ 1.
When increasing Z brings about the strongline limit, corresponding to a line with a saturated Doppler core and welldeveloped damping wings, the photon momentum available at v ~ a is drastcally reduced, as therefore is J. This effect is seen in Fig. 2 of LS70 at log T_{eff} ≈ 4.5 In this strongline limit, the accessible photon momentum in the continuum is transferred to quasistationary gas (v^{2} ≪ a^{2}) deep in the RL where it merely increases H_{ρ}, the local scale height.
With more than one line, the above CoG effects are superposed. However, in regions of high linedensity, effects of overlapping line formation come into play. These defy simple interpretation and are the main reason for adopting MC methods.
3. Models with varying Z
In this section, models are computed at selected points in (T_{eff},g,Z)space.
3.1. Parameters
Because the RL’s require input from the OSTAR2002 models of Lanz & Hubeny (2003), their grid somewhat restricts the parameter choices made here. We adopt the TLUSTY labelling scheme, so that, for example, model Gt400g300 has T_{eff} = 40.0 kK, log g = 3 and Galactic metallicity. In order to test scaling laws over the full range of metallicites found in the local Universe, a sequence of models with letter codes C, G, L, S, T and V are computed at each selected point (T_{eff},g). These correspond, respectively, to Z/Z_{⊙} = 2,1,1/2,1/5,1/10 and 1/30, a range of 60 in metallicity.
With regard to T_{eff} and g, points in the OSTAR2002 grid are chosen to match the bestfit parameters in Table 2 of TSKK. The chosen points and the stars matched within errors are:

t475g375 (IC 1613A13)

t425g375

t350g350 (IC 1613A15; IC 1613C9; NGC 310920)

t300g325 (WLMA11; IC 1613B11).
The t425g375 sequence is included to avoid a large gap in T_{eff}.
All models have v_{t} = 10 km s^{1}. This canonical value is consistent with the highly uncertain TSKK estimates. Note that welldetermined values of v_{t} for Galactic O stars (e.g., Bouret et al. 2005) derive from UV spectra, which are not available for the TSKK stars.
3.2. Model sequencies
Values of J for the four sequencies are given in Table 1. The additional tabulated quantities are:

Col. 4: φ, the massloss rate in units of L/c^{2}.
Since φ has a maximum value ~1 with one driving line (LS70), φ is the equivalent number of effective nonoverlapping lines.

Col. 5: η, the percentage of the photon packets escaping across the RL’s upper boundary that have not undergone a line scattering event within the RL.
Since the MC quanta emitted at the lower boundary sample the continuum flux distribution of the TLUSTY model, a high value of η indicates that much of this emission occurs in relatively linefree frequency intervals. Conversely, a low value indicates effective lineblocking of the star’s continuum.

Col. 6: ζ, the percentage of Δ_{1,2} – see Eq. (3) – contributed by lines of Fe and Ni.
This quantity measures the importance of Fe and Ni relative to C, N, O, Ne, Si and S in accelerating matter through the sonic point. Note that the MC estimator for g_{ℓ} – Eq. (10) in L07 – readily allows the contributions of individual lines to be extracted.
3.3. Dependence of J on metallicity
In Fig. 1, the J’s given in Table 1 are plotted against Z/Z_{⊙}. These log − log plots show significant departures from linearity and even include departures from the expected monotonic decline with decreasing Z.
The quantities η and ζ provide a qualitative understanding of the J’s dependence on Z. In the main, we see that J increases with Z but that η decreases. Thus, the enhanced J and φ can be attributed to the shrinking of linefree frequency intervals as weak lines become significant absorbers.
Fig. 1
Mass fluxes J from Table 1 plotted against metallicity Z/Z_{⊙}. The curves are labelled with the sequencies’ T_{eff}(kK). 
Fig. 2
Failed solution for St350g350 when J = −5.19 dex. The open circles are the for i = 1,2,...,k,...,I from which the model RL is derived. The filled circles are the MC estimates . The sonic point (i = k) is indicated. 
The importance of CoG effects is illustrated by ζ. The spectra of Fe and Ni ions have numerous weak permitted lines arising from metastable levels. In contrast, the linedriving contributed by light and intermediate mass elements is predominantly from strong groundstate resonance transitions. As Z increases, these groundstate transitions saturate, and their momentum tranfers then occur deep in the RL, increasing H_{ρ} but contributing little to J. Because of this effect, the relative contribution of Fe and Ni to Δ_{1,2} increases dramatically with Z.
3.4. Powerlaw exponents α
Conventionally, the Zdependence of Φ is approximated as a power law, so that (4)Although Fig. 1 shows significant departures from this behaviour, least squares fits of Eq. (4) to the data have been carried out and are given in Table 2. The intercepts log J_{G} are not reported since they do not supersede the individual Jvalues for the Gmodels.
Computed mass fluxes J (gm s^{1} cm^{2}).
Power law exponents α.
In view of the significant departures from powerlaw behaviour, the 3D function J(T_{eff},g;Z) will eventually have to be tabulated so that the evolution of massive stars can be followed as a function of initial metallicity.
4. Comparisons with observed Φ’s
In this section, the Φ’s derived by TSKK for three of their stars are compared to the predictions of Sect. 3. The stars chosen are the one with high T_{eff} and the two latetype O stars with the most accurate Φ’s.
4.1. IC 1613A13
For this star, TSKK estimate and and so the appropriate sequence from Table 1 is t475g375. The metallicity of IC 1613 is Z/Z_{⊙} ≈ 1/7, which is bracketed by the models with Z/Z_{⊙} = 1/5 and 1/10. Logarithmic interpolation gives J = −5.07 dex. Accordingly, with R/R_{⊙} = 11.4 from TSKK, Φ = 4πR^{2}J = −5.97 dex. This is to be compared with the TSKK estimate dex. Thus theory overpredicts observation by 0.29 dex, but this is well within observational uncertainty and so there is no conflict.
4.2. NGC 310920
For this star, TSKK derive and and so the appropriate sequence is t350g350. The metallicity of NGC 3109 is Z/Z_{⊙} ≈ 1/7. Logarithmic interpolation gives J = −6.77 dex. Accordingly, with R/R_{⊙} = 24.7 from TSKK, Φ = −7.00 dex. This is to be compared to the TSKK estimate that dex. Thus theory underpredicts observation by 1.59 dex, far beyond the observational uncertainty.
In dimensionless terms, the TSKK rate is φ = 76, indicating the number of effective driving lines required to accelerates the corresponding J through the sonic point. Inspection of Table 1 shows that φ = 76 is only achieved for T_{eff} ≳ 45.0 and Z/Z_{⊙} ≳ 1/2, a domain excluded by TSKK’s spectroscopic analysis. Moreover, the interpolated η for this model is ≈ 78 per cent, showing that there are extensive frequency intervals not contributing to line driving of the transonic flow.
4.3. WLMA11
For this star, TSKK derive and and so the appropriate sequence is t300g325. The metallicity of WLM is again Z/Z_{⊙} ≈ 1/7. In this case, interpolation gives J = −7.20 dex. Accordingly, with R/R_{⊙} = 29.8 from TSKK, Φ = −7.27 dex. This is to be compared with the TSKK estimate that dex. Thus theory underpredicts observation by 1.71 dex, far outside the observational uncertainty.
In dimensionless terms, the TSKK rate is φ = 66 Thus, as for NGC 310920, this is only achieved for T_{eff} ≳ 45.0 and Z/Z_{⊙} ≳ 1/2, a domain excluded by TSKK’s spectroscopic analysis. The interpolated η for this model is also ≈ 78 per cent, thus showing again that there are extensive frequency intervals that cannot be tapped to sustain a high J.
5. Discussion
In this section, the severe conflict between theory and observation for the two latetype O stars is discussed. For clarity, the two extremes are considered.
5.1. Observed rates in error
The possible causes of overestimation of observed rates are discussed in detail by TSKK. As they fully recognize, a likely cause is wind clumping. Their estimates of Φ derive from the partial fillingin of the Heii λ4686 Å and Hα absorption lines by wind emission – see their Fig. 2. Now, it has long been suspected that the instability of linedriven winds will lead to a clumpy outflow and hence enhanced emission in exactly these lines (Lucy 1975). Moreover, the standard diagnostic code CMFGEN (Hillier & Miller 1999) includes an adjustable clumping factor that demonstrably improves fits to observed spectra (e.g., Bouret et al. 2008). Nevertheless, the model wind (Puls et al. 2005) that SDKK use to fit the data does not allow for clumpiness. Accordingly, one suspects that, if clumpiness were included, their genetic algorithm (Mokiem et al. 2005) would find a wide range of acceptable solutions: from high Φ’s with weak clumping to low Φ’s with strong clumping – i.e., degeneracy with respect to these two parameters.
In view of the limited information content concerning winds in the optical spectra of O stars, the Φ’s of the TSKK stars are likely to remain highly uncertain until UV spectra can be obtained. However, in the meantime, as a control experiment, the TSKK methodology should be applied to optical spectra of Galactic O stars that already have analysed UV spectra. If the Φ’s of Galactic O stars with similar spectral types to NGC 310920 and WLMA11 can thus be derived with reasonable accuracy purely from their optical spectra, then the high TSKK Φ’s for these lowZ extragalactic O stars would be more convincing.
5.2. Theoretical rates in error
The accuracy of the eigenvalues J is discussed in Sect. 4.2 of L10b, from which it follows that errors ~ 1.6 dex would appear to be excluded. However, there is no proof that the eigenvalue J is unique. Accordingly, a search for a second, highJ solution has been carried out for St350g350 (Z = Z_{⊙}/5). Thus, as described in Sect. 2.2, the vector for i ≠ k is iteratively corrected with the aim of achieving dynamical consistency by matching the MC estimates . But now J is fixed at − 5.19 dex, a value obtained by adding the discrepancy of 1.59 dex found in Sect. 4.2 for NGC 310920 to the eigenvalue J = −6.78 dex from Table 1 (cf. Sect. 3.3 in L10a).
Figure 2 illustrates the limited degree of consistency achieved when the search was abandoned. This may be compared with Fig. 2 in L10b, where the successful solution for Gt400g375 is plotted. In that case, J was not fixed but instead was iteratively corrected to obtain Δ_{1,2} = 0.
Figure 2 shows that dynamical consistency is achievable for v/a ≲ 0.6 but fails at higher velocities. Evidently, the constraint that the dynamical RL satisfies the regularity constraint (Eq. (2)) precludes adjustment into agreement with as the sonic point is approached. Accordingly, the inescapable conclusion is that a second solution with Δlog J ~ 1.6 does not exist.
An identical experiment for St300g325 with J fixed at − 7.22 + 1.71 = −5.11 dex also ended in a failure similar to Fig. 2.
The MC code cannot match these imposed sonic point momentum fluxes Ja because there are no physical processes available to provide these fluxes and the use of indivisible MC quanta precludes the spurious creation of momentum (Sect. 2.2).
5.3. An additional massloss mechanism?
If the Φ estimates of TSKK are accurate, then the above elimination of highJ solutions implies that an additional acceleration mechanism is operating besides radiative driving. This is perhaps an unwelcome possibility, but where better to discover an additional mechanism than in the spectra O stars with lowZ’s?
For steady flow, Fig. 2 shows that this unknown mechanism must provide an outward force per gm of ~0.4g at v = a in order to make up for ’s shortfall in satsfying Eq. (2). But extra driving is not needed at higher velocities. For v/a ≳ 1.5, Fig. 2 shows that a net outward acceleration is provided by . This is a consequence of matter being Dopplershifted out of the absorption lines formed in the RL’s quasistatic layers.
The possibility that an extra mechanism may be required only in the neighbourhood of the sonic point prompts the thought that smallscale, stochastic expulsions may be accelerating blobs of photospheric matter to v/a ≳ 1.5, whereupon linedriving takes over and a highΦ supersonic wind ensues.
A strong constraint on this unkown mechanism is provided by the existence of a weakwind domain for Galactic O stars (Marcolino et al. 2009, M09). From Table 3 in M09, we see that, observationally, this domain’s extent is T_{eff}(kK) ∈ (31,34) and log g ∈ (3.6,4.0). Thus, in (T_{eff},g)space, the two latetype O stars of TSKK are contiguous to the weakwind domain, whose reality is solidlybased on UV spectra and is partially understood theoretically (L10a,b). Evidently, the unknown mechanism does not operate in the weakwind domain. Accordingly, it must be narrowly focused in parameter space, perhaps also excluding Z/Z_{⊙} ~ 1.
6. Conclusion
The aim of this paper has been to test the theory of moving RL’s at metallicities other than Galactic. The stimulus was the high empirical Φ’s reported recently by TSKK for extragalactic
O stars with Z/Z_{⊙} ≈ 1/7 and the doubts they raised about the Vink et al. (2001) scaling law.
Although agreement within errors is found at T_{eff}(kK) ~ 47.5, discrepacies ~1.6−1.7 dex are found for two late type O stars with T_{eff}(kK) ~ 30−35. If these discrepancies are not due to wind clumping, an effect not included by TSKK, then an additional massloss mechanism is necessary, perhaps operating only at low velocities and in a restricted part of (T_{eff},g,Z)space (Sect. 5.3). What this mechanism might be is an open question.
Most probably, windclumping is the solution to these discrepancies, but the proof may not come until we can obtain spectra in the UV.
References
 Bouret, J.C., Lanz, T., & Hillier, D. J. 2005, A&A, 438, 301 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Bouret, J.C., Lanz, T., Hillier, D. J., & Foellmi, C. 2008, in Clumping in Hot Star Winds, ed. W.R. Hamann, A. Feldmeier, & L. M. Oskinova (Potsdam: Univ. Verl.) [Google Scholar]
 Hillier, D. J., & Miller, D. L. 1999, ApJ, 519, 354 [NASA ADS] [CrossRef] [Google Scholar]
 Lanz, T., & Hubeny, I. 2003, ApJS, 146, 417 [NASA ADS] [CrossRef] [Google Scholar]
 Lucy, L. B. 1975, Mem. Soc. R. Sci. Liège, 8, 359 [Google Scholar]
 Lucy, L. B. 2007, A&A, 468, 649 (L07) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Lucy, L. B. 2010a, A&A, 512, A33 (L10a) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Lucy, L. B. 2010b, A&A, 524, A41 (L10b) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Lucy, L. B., & Solomon, P. M. 1970, ApJ, 159, 879 (LS70) [NASA ADS] [CrossRef] [Google Scholar]
 Marcolino, W. L. F., Bouret, J.C., Martins, F., et al. 2009, A&A, 498, 837 (M09) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Mokiem, M. R., de Koter, A., Puls, J., et al. 2005 A&A, 441, 711 [Google Scholar]
 Puls, J., Urbaneja, M. A., Venero, R., et al. 2005, A&A, 435, 669 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Tramper, F., Sana, H., de Koter, A., & Kaper, L. 2011, ApJ, 741, 8 (TSKK) [Google Scholar]
 Vink, J. S., de Koter, A., & Lamers, H. J. G. L. M. 2001, A&A, 369, 574 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
All Tables
All Figures
Fig. 1
Mass fluxes J from Table 1 plotted against metallicity Z/Z_{⊙}. The curves are labelled with the sequencies’ T_{eff}(kK). 

In the text 
Fig. 2
Failed solution for St350g350 when J = −5.19 dex. The open circles are the for i = 1,2,...,k,...,I from which the model RL is derived. The filled circles are the MC estimates . The sonic point (i = k) is indicated. 

In the text 
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