Free Access
Issue
A&A
Volume 538, February 2012
Article Number L2
Number of page(s) 4
Section Letters
DOI https://doi.org/10.1051/0004-6361/201117794
Published online 31 January 2012

© ESO, 2012

1. Introduction

Massive stars in the early universe are different from the ones observed today. Their low metal content makes them more compact and rotate faster than their equivalents found in the Milky Way. This view is supported by observations of an increasing Be/B-type star ratio with decreasing metallicity (Martayan et al. 2007) and by more rapidly rotating, massive stars in the SMC compared to the Milky Way (Hunter et al. 2008). Rapidly rotating stellar models at low Z have been calculated by Meynet et al. (2006) and Hirschi (2007). In these models, primary nitrogen yields are much larger than in non-rotating models. When yields from these rotating models are used as input in chemical evolution models, a nice fit of the N/O in very metal poor halo stars (see e.g. Spite et al. 2005) can be obtained (Chiappini et al. 2006). This provides a strong support for the occurrence of rotation-induced mixing at low Z and for our models. The primary nitrogen production in rotating low-Z stellar models is accompanied by the primary production of other isotopes like 13C, and especially 22Ne, which is the neutron source for s-process in massive stars (e.g. Käppeler et al. 2011, and references therein).

A first attempt to assess the impact of rotation on the s-process nucleosynthesis in low-Z massive rotating stars was made by Pignatari et al. (2008), who investigated the impact of primary 22Ne in a parametrised way. The recent observation of large s-process enhancements in one of the oldest globular clusters in the bulge of our galaxy supports the view that massive stars could indeed also be important sources for these elements (Chiappini et al. 2011), highlighting the need for comprehensive calculations of the s-process in low-Z massive rotating stars. In this letter, we present the first such low-Z, massive rotating star models including a full s-process network.

We describe our models in Sect. 2. The impact of rotation on the s-process in massive 25 M stars at different metallicities is discussed in Sect. 3. We give our conclusions in Sect. 4.

2. Stellar evolution models

We calculated our models with the Geneva stellar evolution code (GENEC), which is described in detail in (Eggenberger et al. 2008). The main improvement brought to GENEC for this work is the integration of a large nuclear reaction network (613 isotopes up to the end of He-burning and 737 from there on). The smaller network is almost identical to the s-process network used by The et al. (2000, see their Table 1). GENEC with the enhanced nucleosynthesis network was first used to study the evolution of the abundance of light elements at the surface of main sequence massive stars (Frischknecht et al. 2010). Since rotation-induced mixing is prime importance in this work, we briefly review here the input physics used. We used the horizontal diffusion coefficient of Zahn (1992) and the shear diffusion coefficient from Talon & Zahn (1997), which is a conservative choice since this prescription includes a strong reduction of mixing across mean molecular weight gradients.

We used the reaction library (REACLIB) from Rauscher & Thielemann (2000), but with major updates. The charged particle reaction rates from Angulo et al. (1999) were used except for the following reactions: 22Ne(α, n) was taken from Jaeger et al. (2001) and the 3α-rate from Fynbo et al. (2005). If available, the neutron captures were taken from the KADoNiS compilation (Dillmann et al. 2006) and the temperature-dependent beta decays from Takahashi & Yokoi (1987). Several reaction fits were downloaded from the JINA-REACLIB website (groups.nscl.msu.edu/jina/reaclib/db).

For 17O(α,γ) and 17O(α, n) reaction rates, we used the rates of Caughlan & Fowler (1988) (hereafter CF88) and Angulo et al. (1999), respectively. Their ratio determines the strength of 16O as a neutron poison and is very uncertain at the moment. Indeed, Descouvemont (1993) predicts that the 17O(α,γ) should be a factor of 1000 smaller than the CF88 rate. This huge uncertainty strongly affects the s-process in massive stars at low Z1 (Hirschi et al. 2008), where 16O is known to be a strong neutron absorber/poison (Rayet & Hashimoto 2000). Recently, two independent groups have measured the 17O(α,γ) rate (Taggart et al. 2011; Best et al. 2011), but it is not yet clear whether the new rate will be lower than the CF88-rate at the relevant energies (Laird, priv. comm.). To assess the impact of a decreased rate, we also calculated 25 M models with the CF88 rate divided by a factor 10, which will probably still be inside the uncertainties of the new measurements in the relevant energy range.

We calculated models of 25 M stars at initial metallicities, Z = 10-3, 10-5, and 10-7 (the corresponding [Fe/H]-values are given in Table 1), to investigate the influence of rotation on the s-process in massive stars. At all three metallicities, we assumed an α-enhanced composition2. All other elements were scaled from the solar composition published in Asplund et al. (2005). At each Z, a model without rotation was calculated for reference. For rotating models, we chose υini/υcrit = 0.4 as a standard rotation rate, where υini is the initial surface velocity and υcrit the critical rotation velocity, for which the centrifugal force balances the gravity at the equator. This ratio corresponds to an average equatorial velocity of  ⟨ υeq ⟩ MS ≈ 214 km s-1 on the main sequence at Z in our models. This is slightly lower than the peak velocity of the velocity distribution of B-type stars in our Galaxy found by Dufton et al. (2006). A constant υini/υcrit leads to a slight decrease in initial angular momentum with decreasing Z and in our models at lowest Z to  ⟨ υeq ⟩ MS ≈ 383 km s-1. At low Z, massive stars could have a higher initial angular momentum according to the latest star formation simulations (Stacy et al. 2011), so we also calculated models with υini/υcrit = 0.5 for Z = 10-5 and υini/υcrit = 0.6 for Z = 10-7, corresponding to  ⟨ υeq ⟩ MS = 428 and 588 km s-1, respectively. All models were computed until at least the start of O-burning. Beyond this point, the carbon and helium-burning shells do not change significantly, so the s-process yields can be estimated well at this point. The yields can still be slightly modified by late interactions between shells and increased temperature just before the collapse and by explosive nucleosynthesis (see e.g. Tur et al. 2009).

We list the properties of the models in Table 1 in the following order: model name (row 1); initial metallicity (2); [Fe/H] (3); υini/υcrit (4); average rotation rate on the main sequence  ⟨ υ ⟩ MS (5); the mass fraction of 22Ne burned during core He-burning ΔX(22Ne)c (6); the mass fraction of 22Ne at the start of C-burning, X(22Ne) (7); the average number of neutron captures per iron seed nc (8); and the pre-supernova yields in solar masses and production factors, f, for the elements Sr (9/10), and Ba (11/12). The remnant masses used to calculate the yields (see method in Hirschi 2007) range between 2.3 and 2.8 M and are usually situated close to the bottom of the last carbon shell.

Table 1

Parameters of the 25 M models calculated.

We can see from Table 1 (ΔX(22Ne)) that rotating models at all metallicities produce and burn significant amounts of 22Ne, confirming the results of previous studies (Meynet et al. 2006; Hirschi 2007; Pignatari et al. 2008). The amount of primary 22Ne in the convective He-core at the end of He-burning when s-process is active is between 0.1 and 1% in mass fractions. Considering a constant value of υini/υcrit = 0.4 at all metallicities (models A1, B1, C1), the primary 22Ne in the He-core decreases slightly with decreasing metallicity. There is, however, theoretical and observational support to consider a slight increase in υini/υcrit with decreasing metallicity. Considering models A1 (υini/υcrit = 0.4 at Z = 10-3), B3 (υini/υcrit = 0.5 at Z = 10-5), and C3 (υini/υcrit = 0.6 at Z = 10-7), which correspond to an increase in υini/υcrit with decreasing metallicity, we see that rotating models produce and burn a constant quantity of 22Ne, around 0.5% in mass fraction. We can see from these results that rotating models produce significant amounts of 22Ne in a primary way over the entire range of metallicity computed, whereas in non-rotating models (A0, B0), the amount of 22Ne available is secondary.

In the He-shell, the 22Ne mass fraction in rotating models is, by a factor of 19 (A1), 1100 (B1) and 13400 (C1) higher than the corresponding non-rotating models. While the 22Ne in the He-shell of non-rotating model is purely secondary, in rotating models it is primary and amounts to 1 and 2% in mass fraction at the pre-SN stage and independent of metallicity. This is very interesting for explosive nucleosynthesis in the He-shell. This site was investigated for the r-process by Truran et al. (1978) and Thielemann et al. (1979), but later on considered only as a possible site for a weak r-process (Woosley et al. 2002) or n-process (Rauscher et al. 2002). Given the large amounts of primary 22Ne produced in the rotating models at all Z, it is worthwhile reconsidering explosive nucleosynthesis in the He-shell.

3. Non-standard s-process

The standard s-process in massive stars is a secondary process (see e.g. Raiteri et al. 1992), because the main neutron source (22Ne coming from the initial C, N, and O) and the seeds (mainly iron) have a secondary origin, while neutron poisons are a mixture of primary (mainly 16O for He-burning and 20Ne, 24Mg for C-burning) and secondary (mainly 25Mg for He-burning) elements. At low Z, the contribution from the carbon shell becomes smaller (given the mass fraction of 22Ne left at the start of C-burning, X(22Ne), see line 7 in Table 1). In non-rotating models (A0, B0), the standard s-process is even less efficient than a secondary process.

Rotation significantly changes the structure and pre-SN evolution of massive stars (Hirschi et al. 2004) and thus also the s-process production. Rotating stars have similar central properties to more massive non-rotating stars. In particular they have more massive helium-burning cores and higher central temperature. The latter means that the He-core contribution increases at the expense of the C-shell contribution. This and the primary origin of neutron poisons during carbon burning lead to a very small C-shell contribution to the pre-SN yields at low Z, i.e. lower than 10% for all the rotating models presented in Table 1.

All the effects of rotation boost the s-process production at all metallicities compared to non-rotating models as can be seen in Table 1. At  [Fe/H]  =  −1.8 (models A0 and A1), the rotating model burns about five times more 22Ne than the non-rotating model during core He-burning. Although a factor of 5 is not very large, 96% of the initial iron is transformed into s-process elements in the rotating model, whereas only 53% of the initial iron is transformed in the non-rotating model. In the rotating model, the neutron source is sufficient to deplete all the seeds, and the production is limited by the seeds (not the neutron source any more). This explains why the s-process yields are much larger in the rotating model, by up to a factor of 1000. Nevertheless, at  [Fe/H]  =  −1.8, rotating models produce elements in large quantities only up to the Sr peak. We thus expect that the non-standard s-process is qualitatively similar to the normal s-process (production of elements with A = 60−90) for  [Fe/H]  >  −2 but with higher production factors. At  [Fe/H]  =  −3.8 (see Fig. 1 showing production factors at the pre-SN stage), elements up to Sr are still strongly produced in the rotating model (B1, Fig. 1), whereas the overproduction is very small in the non-rotating model. Depending on the initial rotation rate and the 17O(α,γ) rate used, elements up to Ba start to be efficiently produced (see discussion below). At  [Fe/H]  =  −5.8, both the rotating and non-rotating models produce and burn enough 22Ne to deplete all the iron seeds. At this very low Z, the main limitation is the seeds and, given the low initial iron content, the s-process production remains very modest.

It is interesting to look at the metallicity dependence of the non-standard s-process production in rotating models. As said, the production is limited mainly by the iron seeds. Even at the lowest metallicities in a very rapidly rotating model (C3 and C4, υini/υcrit = 0.6 instead of the standard 0.4), and thus with a larger primary neutron source, there is no additional production of s-process elements starting from light element seeds like 22Ne. Instead, what happens is that not only iron is depleted, but also elements up to Sr are partially destroyed (after being produced) and heavier elements like Ba are produced ( [Sr/Ba]  ≤ 0). Indeed, going from  [Fe/H]  =  −3.8 (B1) to  [Fe/H]  =  −5.8 (C1), the Sr yield decreases by a factor of  ≈ 9, while the Ba yield increases by a factor of 5. We therefore have a different metallicity dependence for the production of elements belonging to the different peaks: there is a roughly secondary production of elements up to Sr but the Z dependence for heavier elements like Ba is milder. The secondary-like behaviour of Sr/Y/Zr in the metallicity range covered by our models, makes the non-standard s-process in massive rotating stars an unlikely solution for the LEPP (light element primary process) problem at low Z (Travaglio et al. 2004).

thumbnail Fig. 1

Production factors (ejected mass divided by the initial mass of the element) for the 25 M models with Z = 10-5. The model without rotation (triangles) does not produce s-process nuclei efficiently, whereas the rotating models (circles, B1, and diamonds, B3) do. The additional, rotating models with reduced 17O(α,γ) rates (stars, B4, CF88/10) highlight the uncertainty for the neutron poison 16O.

Apart from the seeds, the s-process strongly depends on the neutron source and neutron poisons. Both are still quite uncertain at present. The neutron source, 22Ne, depends on rotation-induced mixing, hence on the initial velocity of stars at very low Z. To assess the uncertainty linked to the primary production of 22Ne, we calculated additional models at  [Fe/H]  =  −3.8 and  −5.8 with a higher initial velocity (B3/B4 υini/υcrit = 0.5 and C3/C4, υini/υcrit = 0.6). Compared to the C1 case (υini/υcrit = 0.4), the increase in the production of 22Ne is about a factor of 4. This leads to a higher neutron capture per seed (nc) and thus to a production of elements like Ba at the expense of elements like Ge, but the total production (sum of all isotopes heavier than iron) is still limited by the iron seeds, as said above. A major uncertainty concerning neutron poisons is the importance of 16O as a neutron poison. As explained in the previous section, at low Z, 16O is a strong neutron absorber during core He-burning. The neutrons captured by 16O(n,γ)17O may either be recycled via 17O(α,n)20Ne or lost via 17O(α,γ)21Ne. To investigate the impact of the 17O(α,γ)21Ne uncertainty, we calculated models with the CF88 rate divided by a factor of 10 (B2, B4, and C4). The impact of a change of even a factor of 10 in this rate is strong (see Table 1 and Fig. 1). Given the differences between models with the CF88 and CF88/10 rate, the experimental determination of the 17O(α,γ)-rate and the 17O(α,n) is crucial to a more accurate prediction for the s-process in massive rotating stars at low metallicity.

Characteristic quantities for the s-process are [Sr/Ba] and [Sr/Pb]. For model A1 at Z = 10-3,  [Sr/Ba]  =  +2.33, which is typical of the standard s-process in massive stars. On the other hand, the models at lower metallicities show reduced values between  + 2.05 and  + 0.42 at Z = 10-5, and between  +0.02 and  −0.54 at Z = 10-7 (although the Z = 10-7 models will not contribute much to the galactic chemical enrichment). We therefore generally obtain  [Sr/Ba]  > 0 from the low-Z, massive rotating star, s-process. Pb is only produced in very extreme cases and with  [Pb/Sr]  ≲  −1. Thus massive stars cannot be responsible for CEMP-s stars. The models of Pignatari et al. (2008) efficiently produce elements up to Pb. This difference between the two studies is explained by the fact that Pignatari et al. (2008) used the 17O(α,γ) of Descouvemont (1993), which is now disfavoured by recent experiments. Finally, a similar spread for [Sr/Ba] is obtained as the one used in Chiappini et al. (2011) to explain the abundance of one of the oldest globular clusters in the galactic bulge, thus supporting the conclusions of that study.

4. Conclusions

We have calculated the first complete stellar models including a full s-process network to study the effects of rotation on the s-process in massive stars in low-metallicity environments. Our models confirm that rotation-induced mixing in radiative zones leads to a primary production of 22Ne in the He core over the wide Z range studied ( [Fe/H]  =  −5.8,  −3.8, and  −1.8). From 0.1 to 1% of 22Ne in mass fraction is produced in central He-burning. The large primary production of 22Ne also occurs in the He-shell in all the rotating models calculated, i.e. 1−2% in mass fraction at all Z. This can have a strong impact on the supernova nucleosynthesis in He-burning shell, since it could provide a primary neutron source for neutron capture nucleosynthesis at all values of Z. We investigated the impact of the 17O(α,γ)-rate on the strength of 16O as a neutron poison and find the impact of current uncertainties still significant, thus deserving further experimental studie.

The s-process in massive stars with rotation contributes significantly to the production of elements up to Sr above  [Fe/H]  ≈  −2, the main limiting factor being the iron seeds at low Z. The production of elements up to Ba is sensitive to the initial rotation rate, and we generally obtain  [Sr/Ba]  > 0 from low-Z massive rotating star s-process. Pb is only produced in very extreme cases, but with  [Pb/Sr]  ≲  −1 massive stars cannot be responsible for CEMP-s stars. A similar spread for [Sr/Ba] to the one used in Chiappini et al. (2011) was obtained to explain the unique abundance of several stars in one of the oldest globular clusters in the galactic bulge, thus supporting the conclusions of that study. Further stellar and galactic chemical evolution models will assess the full impact of this boosted s-process.


1

Several other rate uncertainties e.g. 22Ne(α,γ) and 22Ne(α, n) also affect the results and will be studied in a forthcoming paper.

2

With the α-elements enhanced with respect to iron, i.e.  [X/Fe]  = A = const. (since  [Fe/H]  ≤  −1) where A =  +0.562,  +0.886,  +0.500,  +0.411, +0.307,  +0.435,  +0.300,  +0.222, and  +0.251 for 12C, 16O, 20Ne, 24Mg, 28Si, 32S, 36Ar, 40Ca, and 48Ti, respectively.

Acknowledgments

The authors gratefully acknowledge fruitful discussions with and comments from Marco Pignatari and Georges Meynet. This work was supported by the SNSF and by the ESF EUROCORES programme EuroGENESIS. R.H. and U.F. acknowledge support from the Royal Society (IJP090091 grant). R.H. acknowledges support from the WPI Research Center Initiative, MEXT, Japan.

References

  1. Angulo, C., Arnould, M., Rayet, M., et al. 1999, Nucl. Phys. A, 656, 3 [NASA ADS] [CrossRef] [Google Scholar]
  2. Asplund, M., Grevesse, N., & Sauval, A. J. 2005, ASPC, 336, 25 [Google Scholar]
  3. Best, A., Görres, J., Couder, M., et al. 2011, Phys. Rev. C, 83, 052802 [NASA ADS] [CrossRef] [Google Scholar]
  4. Caughlan, G. R., & Fowler, W. A. 1988, ADNDT, 40, 283 [Google Scholar]
  5. Chiappini, C., Hirschi, R., Meynet, G., et al. 2006, A&A, 449, L27 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Chiappini, C., Frischknecht, U., Meynet, G., et al. 2011, Nature, 472, 454 [NASA ADS] [CrossRef] [Google Scholar]
  7. Descouvemont, P. 1993, Phys. Rev. C, 48, 2746 [NASA ADS] [CrossRef] [Google Scholar]
  8. Dillmann, I., Heil, M., Käppeler, F., et al. 2006, AIPC, 819, 123 [Google Scholar]
  9. Dufton, P. L., Smartt, S. J., Lee, J. K., et al. 2006, A&A, 457, 265 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  10. Eggenberger, P., Meynet, G., Maeder, A., et al. 2008, Ap&SS, 316, 43 [NASA ADS] [CrossRef] [Google Scholar]
  11. Frebel, A. 2010, Astron. Nachr., 331, 474 [NASA ADS] [CrossRef] [Google Scholar]
  12. Frischknecht, U., Hirschi, R., Meynet, G., et al. 2010, A&A, 522, A39 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Fynbo, H. O. U., Diget, C. A., Bergmann, U. C., et al. 2005, Nature, 433, 136 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  14. Hirschi, R. 2007, A&A, 461, 571 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Hirschi, R., Meynet, G., & Maeder, A. 2004, A&A, 425, 649 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Hirschi, R., Frischknecht, U., Thielemann, F., et al. 2008, IAU Symp., 255, 297 [NASA ADS] [CrossRef] [Google Scholar]
  17. Hunter, I., Lennon, D. J., Dufton, P. L., et al. 2008, A&A, 479, 541 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Jaeger, M., Kunz, R., Mayer, A., et al. 2001, Phys. Rev. Lett., 87, 202501 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  19. Käppeler, F., Gallino, R., Bisterzo, S., & Aoki, W. 2011, RvMP, 83, 157 [Google Scholar]
  20. Martayan, C., Floquet, M., Hubert, A. M., et al. 2007, A&A, 472, 577 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Meynet, G., Ekström, S., & Maeder, A. 2006, A&A, 447, 623 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Pignatari, M., Gallino, R., Meynet, G., et al. 2008, ApJ, 687, L95 [NASA ADS] [CrossRef] [Google Scholar]
  23. Raiteri, C. M., Gallino, R., & Busso, M. 1992, ApJ, 387, 263 [NASA ADS] [CrossRef] [Google Scholar]
  24. Rauscher, T., & Thielemann, F. K. 2000, ADNDT, 75, 1 [Google Scholar]
  25. Rauscher, T., Heger, A., Hoffman, R. D., & Woosley, S. E. 2002, ApJ, 576, 323 [NASA ADS] [CrossRef] [Google Scholar]
  26. Rayet, M., & Hashimoto, M. 2000, A&A, 354, 740 [NASA ADS] [Google Scholar]
  27. Spite, M., Cayrel, R., Plez, B., et al. 2005, A&A, 430, 655 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  28. Stacy, A., Bromm, V., & Loeb, A. 2011, MNRAS, 142 [Google Scholar]
  29. Taggart, M., Hager, U., Laird, A., et al. 2011, in Nuclei in the Cosmos (NIC XI) [Google Scholar]
  30. Takahashi, K., & Yokoi, K. 1987, Atomic Data and Nuclear Data Tables, 36, 375 [Google Scholar]
  31. Talon, S., & Zahn, J. P. 1997, A&A, 317, 749 [NASA ADS] [Google Scholar]
  32. The, L. S., El Eid, M. F., & Meyer, B. S. 2000, ApJ, 533, 998 [NASA ADS] [CrossRef] [Google Scholar]
  33. Thielemann, F., Arnould, M., & Hillebrandt, W. 1979, A&A, 74, 175 [NASA ADS] [Google Scholar]
  34. Travaglio, C., Gallino, R., Arnone, E., et al. 2004, ApJ, 601, 864 [NASA ADS] [CrossRef] [Google Scholar]
  35. Truran, J. W., Cowan, J. J., & Cameron, A. G. W. 1978, ApJ, 222, L63 [NASA ADS] [CrossRef] [Google Scholar]
  36. Tur, C., Heger, A., & Austin, S. M. 2009, ApJ, 702, 1068 [NASA ADS] [CrossRef] [Google Scholar]
  37. Woosley, S. E., Heger, A., & Weaver, T. A. 2002, RvMP, 74, 1015 [NASA ADS] [Google Scholar]
  38. Zahn, J. P. 1992, A&A, 265, 115 [NASA ADS] [Google Scholar]

All Tables

Table 1

Parameters of the 25 M models calculated.

All Figures

thumbnail Fig. 1

Production factors (ejected mass divided by the initial mass of the element) for the 25 M models with Z = 10-5. The model without rotation (triangles) does not produce s-process nuclei efficiently, whereas the rotating models (circles, B1, and diamonds, B3) do. The additional, rotating models with reduced 17O(α,γ) rates (stars, B4, CF88/10) highlight the uncertainty for the neutron poison 16O.

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.