1 / 41

Li Abundance of TO stars in globular clusters

Li Abundance of TO stars in globular clusters. Zhixia Shen Luca Pasquini. The Globular Cluster (GC). The same distance, the same age and [Fe/H]:GCs are good testbeds for stellar evolution Nucleosynthesis in old stars Galaxy chemical evolution The age of the universe. Outlines.

orli
Télécharger la présentation

Li Abundance of TO stars in globular clusters

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Li Abundance of TO stars in globular clusters Zhixia Shen Luca Pasquini

  2. The Globular Cluster (GC) • The same distance, the same age and [Fe/H]:GCs are good testbeds for • stellar evolution • Nucleosynthesis in old stars • Galaxy chemical evolution • The age of the universe

  3. Outlines • Chemical inhomogeneity of GCs • Li variations of TO stars in GCs • History • Our work

  4. Abundance Anomalies in Globular clusters • Homogeneous Fe abundance • Homogeneous n-capture element abundances • Light element abundance anomalies • C-N • Na-O • Mg-Al • etc

  5. Most globular clusters (GCs) have a very uniform distribution of Fe group elements - all the stars have the same [Fe/H]. Several years ago people believed that this indicated that the cluster was well-mixed when the stars formed Now, no the 3rd dredge-up Chemical Anomaly of GCs: Fe Group Kraft, et al., 1992: M3, M13

  6. Chemical Anomaly of GCs: Fe Group--compared to field stars Gratton et al., 2004

  7. Chemical Anomaly of GCs: Fe Group--compared to field stars Gratton et al., 2004

  8. Chemical Anomaly of GCs: n-capture elements Gratton et al., 2004

  9. Large spread in Carbon and Nitrogen in many GCs: The first negative correlation (anticorrelation) : C is low when N is high. The anticorrelation is explicable in terms of the CN cycle, where C is burnt to N14 The C abundance decreases with L on the RGB (and N increases). This isknown as the C-L anticorrelation This is also observed in halo field stars. M3, Smith 2002 The C-N & C-L anti-correlation Cohen, Briley, & Stetson (2002)

  10. O-Na Anticorrelation Gratton et al., 2004

  11. O-Na Anticorrelation • This is readily explained by hot(ter) hydrogen burning, where the ON and NeNa chains are operating - the ON reduces O, while the NeNa increases Na (T ~ 30 million K) • Where this occurs is still debatable. • The amazing thing about this abundance trend is that it only occurs in Globulars - it is not seen in field halo stars

  12. Mg-Al anticorrelation in (some) GCs. This can also be explained through high-temperature (T~ 65 million K) proton capture nucleosynthesis, via the MgAl chain (Mg depleted, Al enhanced). It does not occur in field stars... The light elements also show various correlations among themselves---> (Kraft, et al, 1997. Giants) Mg, Al…

  13. Summary • All these anticorellations point to hydrogen burning -- the CN, ON, MgAl, NeNa cycles/chains -- at various temperatures. • CN, ON, NeNa: T~20 MK-40 MK(?) • MgAl: T~40 MK-65 MK(?) • Previously, the most popular site* for this is at the base of the convective envelope in AGB stars - Hot Bottom Burning • And now, maybe winds from massive stars (WMS)

  14. Summary 1) Heavy Elements are uniform throughout cluster • No the 3rd dredge-up 2) C and N (only) have been shown (conclusively) to vary with evolution/luminosity. • Most likely ongoing deep mixing on RGB, but not very deep mixing. 3) Light elements (C – Al) show spreads to varying degrees, and are linked through the (anti)correlations. Spreads are seen in non-evolved stars also. • Inhomogeneous light element pollution; could be • pre-formation: AGB? WMS? • intrinsic stellar pollution (i.e. deep mixing), Non-evolved star? • accretion (Bondi-Hoyle?, binaries?, planets?). Fe? Mass of accretion material (O depletion to 1/10, 9:1 accretion mass?)? Subgaints?

  15. Among the light elements Li has a special role. Li is produced in Big Bang nucleosynthesis,enriched during the galaxy evolution,and destroyed in the stellar interior WMAP: A(Li)=2.64 Li-plaue: 2.1-2.3 (halo stars, NGC 6397) Diffusion or extra-mixing mechanism Li abundace in globular clusters

  16. Li abundance of TO stars in GCs • Indicator of globular cluster chemical evolution history • The low temperature for Li depletion (2.5 MK) • CNO circle: ~30 MK • TO stars: unevolved

  17. History • M 92: can’t be trusted • NGC 6397: Li abundance is an constant • NGC 6752: Li-O correlation;Li-Na/N anti-correlation; • 47 Tuc: Li-Na anti-correlation, lack of correlation between Li and N.

  18. One of the most metal-poor: [Fe/H] = -2.2 One of the oldest: 16Gyr (according to Grundahl et al 2000) m-M=14.6 Distance = 27,000 ly M 92

  19. Boesgaard et al. 1998 V ~ 18 Keck I 1.5-6.5 hr R ~ 45,000 S/N: 20-40 Reanalysis of Bonifacio et al. (2002): a variation of only 0.18 dex M 92

  20. [Fe/H] ~ -2.0 Age ~ 13-14 Gyr Distance ~ 7,200 ly One of the closest m-M ~ 12.5 Li: Bonifacio et al. 2002 NGC 6397

  21. Something interesting… • For a long time, people believed that whereas NGC6752 shows much variation, NGC6397 does not (Gratton et al 2001) • [O/Fe] = 0.21 • [Na/Fe] = 0.20 • Star-to-star  0.14 dex • Can be explained by obs error and variance in atmospheric parameters • Carretta et al. (2004): Na, O variations in NGC 6397 • Li? • Lack of Li-N correlation?

  22. [Fe/H] ~－1.43 Age ~ 13 Gyr Distance ~13,000 ly Log (M/M0) = 5.1 (DaCosta’s thesis, 1977) m-M ~ 13.13 Li: Pasquini et al. 2005 NGC 6752

  23. [Fe/H] ~ -0.7 Age ~ 10 Gyr Distance ~ 13,400 ly m-M ~ 13.5 Li: Bonifacio et al. 2007 47 Tuc

  24. TO stars: V = 17.0-17.3; (B-V)=0.4-0.51 With the same temperature and mass, at the same stage VLT-FLAMES/GIRAFFE, medusa mode For Li 6708Å, R~17,000, S/N ~ 80-100 For O 7771-7775Å, R~18,400, S/N ~ 40-50 Our data

  25. Results Error:Li: 0.09-0.14 dexO: 0.17-0.26 dex

  26. Li variation: 1.7-2.5, 0.8 dex • The upper bundary is consistent with the prediction of WMAP • Not all stars have Li • Li-O correlation: • Possibility > 99.9% (ASURV) • Can’t be made by TO star themselves • For CNO circle, Te > 30 MK • In the center of TO: 20 MK • Li depletion: 2.5 MK • Large dispersion in Li-O correlation

  27. Explanation • The Li/O-rich stars, which are also Na poor, have a composition close to the "pristine" one, while the Li/O-poor and Na-rich stars are progressively contaminated. • The contamination gas is from • the Hot bottom burning (HBB) of an AGB star or • Wind of massive stars.

  28. The chemical component of pollution gas • If we assume a primordial Li abundance of 2.64, given the observed lower boundary of 1.8, more than 80% of the gas should be polluted for such stars. • If primordial [O/Fe] = 0.4, [O/Fe] of the most Li-poor stars are -0.3, then the pollution gas should have O/H~6.6 • Pasquini et al. (2005) for pollution gas: • A(Li) ~2.0, Na/H > 5.4, O/H<7.0, N/H~7.4

  29. AGB or WMS: production • The results of Pasquini et al. (2005) for NGC 6752 is qualitatively consistent with the AGB model of Venture et al. (2002) • The lack of N in 47 Tuc: WMS is more possible (Bonifacio et al. 2007) • For metal-poor AGB stars, the reaction from O to N is quite efficient (Denissenkov et al. 1997 etc)

  30. AGB: production problem • Quantatively, AGB can’t explain the abundance variation for most GCs (Fenner et al. 2004) • Too much or not enough Na while O is not depleted enough • When Mg needs to be burnt, it is produced • C+N+O can’t be constant as observed • AGB models depends on two uncertain factors: • Mass loss rate • Efficiency of convective transport

  31. Weiss et al. (200０) for HBB production • When Al is produced, too much Na • Denissenkov et al. (2001): 23Na firstly produced then destroyed during interpulse phase --> accurate period for both O-depletion and 23Na production

  32. WMS: production • Decressin et al. (2007): • Fast rotate models of metal-poor ([Fe/H]=-1.5) massive stars from 20-120 solar mass • Surface chemical composition changes with mass loss • Based on Li abundances: • 30% primordial gas is added to the winds • The model could reproduce C,N,O and Li variation • But failed in Mg

  33. Li: pollution scenario (Prantzos & Charbonnel 2006) - AGB • If IM-AGB (4-9 solar mass) • 20-150 Myr • Before that, M* > 9Msun --> SNe-->wind of 400km/s --> no Li-rich primordial gas left • Li-production? Hard to get A(Li)=2.5 • After that, 2-4Msun stars eject almost the same amount of material as IM-AGB • Maybe no HBB, but the third dredge-up --> C and s-process elements variation

  34. WMS • In 20 Myr, massive stars evolve and slowly release gas through winds. The gas is mixed with primordial material. • The shock wave of SNe induce the formation of the new stars • After 20 Myr, wind ejecta from low mass stars (<10 Msun) won’t form stars because of no trigger.

  35. AGB: the ejecta will concentrate to the center of the GC In 47 Tuc, most CN-rich stars near the center However, in NGC 6752: Red: A(Li) < 2.0 Green: 2.0 < A(Li) < 2.3 Black: A(Li) > 2.3 Li abundance variations and dynamics

  36. Different GCs, different abundace variations • Bekki et al. (2007): GCs come from dwarf galaxies in dark halo at early age. The pollution gas is from outside IM-AGB field stars • The difference of GCs • Can’t produce the abundance variation pattern • Supported by Gnedin & Prieto (2006): all GCs 10 kpc away from the Galaxy center are from satellite galaxies.

  37. Primordial Li abundance • Are field stars also polluted by the first generation stars?

  38. Conclusions • Li variation is exist in GCs • Li abundance is correlated with Na and O • A mixing of contamination gas and primordial gas is needed • The contamination gas may comes from WMS • Next work: • The large scatter in Li-O correlation • New data of 47 Tuc

  39. The scatter

  40. Thank you! Invitation for Lunch Time: 11:30 am today Place: The third floor of NongYuan Everyone is welcomed! Shen Zhixia & Wang Lan

More Related