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Unraveling the Galaxy to Find the First Stars: Nucleosynthesis at Z = 0. . .

Unraveling the Galaxy to Find the First Stars: Nucleosynthesis at Z = 0. . . . or, how I learned to stop worrying and love low-mass stars. Jason Tumlinson Yale Center for Astronomy and Astrophysics. Four ingredients, four motivations:. Understand stellar evolution at low Z & Z = 0 ;

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Unraveling the Galaxy to Find the First Stars: Nucleosynthesis at Z = 0. . .

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  1. Unraveling the Galaxy to Find the First Stars: Nucleosynthesis at Z = 0. . . . . . or, how I learned to stop worrying and love low-mass stars. Jason Tumlinson Yale Center for Astronomy and Astrophysics

  2. Four ingredients, four motivations: • Understand stellar evolution at low Z & Z = 0; • Constrain the IMF in primordial gas; • Reconstruct the early mass assembly of galaxies; • Understand the origin of important and rare elements. An Important Distinction Nucleosynthesis = Creation of the elements by coupled nuclear reactions in stars. Chemical Evolution = Processing in ISM, and incorporation into new stars. These are closely coupled by the metallicity-dependent details of stars - rotation, mass loss, post-MS evolution, supernovae, etc.

  3. Rich New Data, Puzzling New Patterns Beers & Christlieb (2005) ARA&A VLT data - Cayrel et al. (2004) and Barklem et al. (2005) 82% at [Fe/H] ≤ -2.5 show r-process enrichment [Ba/Fe] HERES Survey - Barklem et al. (2005)

  4. Hyper-Metal-Poor Puzzles Figure from Aoki et al. (2006) Frebel et al. (2005) Christlieb et al. (2004) From Hamburg-ESO Survey: [Fe/H] = -5.3 and -5.6 Abundance patterns are highly non-solar and unlike other C-rich stars at [Fe/H] ~ -3. Are these abundances “primordial” or acquired later?

  5. Two-track Approach in the Field (and the talk) • Because the observed abundance patterns involve “nucleosynthesis” and “chemical evolution”, the full synthesis demands a set of coupled equations including: • “Source terms” – existence proofs for abundance patterns. • “Coupling” terms – construct global pattern by mixing sources within the mass accretion and star formation history, including mass function. • These tracks are mutually interactive, informative and iterative, as we search for and solve the governing equations.

  6. Primordial Nucleosynthesis by Mass Range By Stellar Mass Adapted from Alex Heger – www.2sn.org • Mass Ranges of Interest • 8 – 40 Mסּ • Core-collapse SNe • Hypernovae? • Faint Supernovae? • 140 – 260 Mסּ • PISNe?

  7. Specimens from the Supernova Zoo Compiled from: Zampieri et al. 2003 Mazzali et al. 2003 Hypernovae: Energetic “Type Ic” SNe and GRBs. See poster by Tominaga, papers by Nomoto et al. (2003), Umeda & Nomoto (2005) Faint SNe: Underluminous, slow Type IIs (Turrato et al. 1998, Zampieri et al. 2003) Can these unusual explosion explain the surprising abundances of EMPs? SN 1998bw E51 ~ 50 M(56Ni) ~ 0.5 Mסּ

  8. The “VMS Hypothesis” Stars with M = 140 – 260 Mסּ subject to pair instability. Complete disruption after core He burning (Fowler+Hoyle1964). Robust yields (Heger+Woosley 2003, Umeda+Nomoto 2005), with no rotation or mass loss. Unique nucleosynthetic patterns make the “VMS hypothesis” easy to test (Tumlinson, Venkatesan, & Shull 2004).

  9. Hypernovae and the “Typical EMP” VLT data - Cayrel et al. (2003) and Barklem et al. (2005) Larger zones of complete Si burning enhance Co, Zn and reduce Cr, Mn, matching observed reversal in trends better than E51 = 1 (Umeda+Nomoto 2005). See also Yoon & Langer (2005) for mechanism. Are hypernova the dominant mode of explosion at Z = 0?

  10. VMS and Nucleosynthesis? Yields: Heger+Woosley - Data: McWilliam95, Carretta02, Cayrel04 Tumlinson, Venkatesan, & Shull (2004) Yields of individual VMS/PISN compared to Galactic Pop II stars: Widespread r elements rule out IMF of pure VMS (but. . . ) To match observed Fe-peak ratios and odd-even effect, VMS cannot contribute more than ~½ of Fe to early chemical evolution.

  11. “Faint SNe” and Hyper-Metal-Poor Stars? Mcut Iwamoto et al. 2005, Science, 309, 451 Data from Christlieb; Frebel In “faint SNe”, most explosive products end up in BH. “Mixing and fallback” in ejecta and E51-Mcut relation self- consistently explain HMP abundance patterns. [Na-Mg-Al/Fe] sensitive to Mcut, should scatter at low [Fe/H]. By comparison, PISNe are poor fit to these abundances.

  12. Or is it fast rotation at Z = 0? Winds + SNe? Winds? AGB mass loss? Meynet, Ekstrom, Maeder (2006) Chiappini et al. (2006) Plot= Iwamoto; Data = Christlieb; Frebel Rotation-driven mass loss threatens an otherwise clean picture. Angular momentum requires faster rotation at Z = 0? Rotational mixing and metal-rich mass loss responsible for high CNO? Another worry – rotation may allow VMSs to avoid PISNe!

  13. Late-breaking possibility – A Jet-induced Explosion? E51 = 0.05 – 0.15 in jet HMP abundance patterns may also be produced by jet- induced explosion in 2D hydrodynamical models. Could be connected with high-z GRBs? See the poster by Tominaga et al. for details!

  14. How Do These All Fit Together? • “Existence proofs” • Qualitative trends in Fe-peak abundances => HNe • Low [Fe/H] and high [C/Fe] in HMPs => faint SNe or rotation? • Abundant r-process, Fe-peak, and CNO disfavor VMS/PISNe. • Interesting Questions • Q. How does a star know its own E51? • A. Nobody knows. Models explode by hand! • Q. What is the distribution of E51 and/or Vrot? • A. Unknown, but may be able to constrain this with relative incidence of their distinctive abundance patterns. • This leads us from nucleosynthesis to chemical evolution, and its most important ingredient - the IMF!

  15. New Framework Needed to Address Rich Data The proper context of early chemical evolution is the small pre-Galactic dark matter halos of 106 – 107 Mסּ at z > 10. We therefore need a theoretical framework that: 1) operates within the hierarchical theory of galaxy formation, and 2) tracks chemical evolution “one star at a time”.

  16. A New Synthesis for Stochastic Chemical Evolution Tumlinson 2006, ApJ, 641, 1 CDM halo merger trees - a natural approach to stochastic chemical evolution. Each node is a semi-closed box within which stellar birth, death, and ISM mixing evolve stochastically, keeping track of all massive stars. Best of all, these “boxes” can be modeled as individual galaxies for direct comparisons to data at high redshift.

  17. Key Component: The Log-Normal IMF a = -2.35 “Top-heavy” mc “VMS” s Well-suited to the wide range of mass and shapes possible in primordial gas, with only one more parameter. mc = characteristic mass s = Gaussian width of distribution

  18. Key Result: The Metallicity Distribution Function (MDF) Tumlinson 2006, ApJ, 641, 1 Zcrit Fo≤ 1/N(<2.5) ≤ 0.0019 ChemTree model matches halo MDF (~300 stars from Ryan & Norris ‘91; >10000 to come from SDSS-SEGUE). No known Z=0 stars, so fraction Fo = 1/N(<2.5) = 0.0019.

  19. Constraints on Primordial IMF Tumlinson 2006, ApJ, 641, 1 Tumlinson 2006, ApJ, 641, 1 Joint Constraints on IMF from Halo MDF, Pop II Stars, and Reionization: Low-metallicity IMF is confined to the unshaded region, with <M> = 10 – 42 Mסּ. This IMF does not overproduce Pop III stars (F0) or VMS, and it produces enough ionizing photons for reionization. May imply strong feedback on accreting material during star formation.

  20. Massive Stars: New Knowledge and New Problems • Abundances favor a wide range of E51 for collapsing massive stars. • . . . or rotation and strong mass loss in late stages. . . • What are the causes and distributions of E51 and Vcirc? • Problem: Advance models to understand formation and evolution. • 2) Available data favors IMF peaked at 10 – 40 Mסּ for most of Z = 0 mass. • Problem: How is this produced (vs. MJ) ? Do E51 or Vrot matter? • 3) The data we see are a complex admixture of distinctive nucleosynthetic yields and gas physics, which we must unravel to test our theories. • Problem: Create numerical methods to extract optimal information. Can we distinguish primordial stars by place of formation? • We have much to learn about the first stars, and massive stars generally, from studying their unique residues at low metallicity. There is perhaps more information about the first stars at z = 0 than at z > 6.

  21. Want to know more? Study those GKM stars! • GOOD: Precise abundances for ~100 stars on VLT & Keck. • BETTER: Sloan Extension for Galactic Understanding and Exploration (SEGUE) and Radial Velocity Experiment (RAVE) will discover > 20000 thick disk and halo stars at [Fe/H] < -2, for later highres followup. • BEST: WFMOS: Wide Field Multi-Object Spectrograph ~ 1 million stars with automatic high-res followup GAIA (ESA) ~ 109 stars with kinematics and [Fe/H] for followup. . • Next-generation large telescopes (GSMTs) can push these studies into nearby galaxies and probe the different chemical evolution histories of different types and masses.

  22. Extra Slides Follow

  23. A Fundamental Disconnect 1 0 -1 [Co/Fe] 1 0 -1 [Ni/Fe] ? 1 0 -1 [Zn/Fe] Tominaga et al.(2005) courtesy K. Nomoto -4 -3 [Fe/H] But we know that each Pop II star is an average over mass and metallicity, so we need to know M and [Fe/H] for all progenitors to properly apply yields. Also, despite diligent theoretical efforts, there is still no “basis set” of yields. We therefore need a quantitative model that maps intrinsic SNe yields to the data, in the proper astrophysical context of early chemical evolution.

  24. Hypernovae and GRBs? SN 2003dh E51 ~ 38 M(56Ni) ~ 0.3 Mסּ SN 1998bw E51 ~ 50 M(56Ni) ~ 0.5 Mסּ SN 1987A Mazzali et al. 2003, ApJ, 599, L95 Energetic SNe “Type Ic” linked to GRBs. “Mixing and fallback” needed to get proper abundances. See poster by Tominaga for detailed physics. Posit that these exist at Z = 0 and calculate nucleosynthesis. Nomoto et al. (2003), Umeda & Nomoto (2005)

  25. Hypernovae and Nucleosynthesis Tumlinson, Venkatesan, & Shull (2004) Yields: Umeda+Nomoto04 - Data from McWilliam95, Carretta02, Cayrel04 A Possible Solution: Energetic “Hypernovae” in the First Generation: - Larger zones of complete Si burning enhance Co, Zn and reduce Cr, Mn, matching observed trends. (Umeda+Nomoto2005). - For calculated yields, hypernova fraction in first generation approaches fHN = 1 to match data on Co, Mn, Cr, Zn, and fHN > 0.5 at 90%+ confidence from discrete histories.

  26. One Slide on SN Ia/AGB from Metal-free Stars • Are there any constraints on binary fraction? Prob must come from chem ev? • Lucatello? • Any more information on SN Ia at Z = 0? • Where to start searching? • see Siess et al. 2002 for 1 – 8 Msun ev + nuc.

  27. Specimens from the Supernova Zoo SN 1998bw E51 ~ 50 M(56Ni) ~ 0.5 Mסּ SN 2003dh E51 ~ 38 M(56Ni) ~ 0.3 Mסּ SN 1987A Zampieri et al. 2003 Mazzali et al. 2003 Energetic “Type Ic” SNe and GRBs. “Mixing and fallback” may also exist. See poster by Tominaga, papers by Nomoto et al. (2003), Umeda & Nomoto (2005) for details. Low-luminosity SNe with seen locally. Optical spectra imply ~ 0.1 – 0.5 x 1051 erg and M(56Ni) ~ 0.001 (Turrato et al. 1998, Zampieri et al. 2003) Posit that these unusual objects exist at zero metallicity, and ask whether they can explain the observed abundances in metal-poor stars.

  28. The First Stars IMF? Tumlinson 2006, ApJ, 641, 1 a = -2.35 IMF Test Cases: Constrained by Pop II star counts, reionization, and chemical abundances. Sharp peak at 10 – 40 M

  29. Chemical Evolution Approaches the “Precision Era” Z = 0, IMF A Tominaga et al.(2005) courtesy K. Nomoto Detailed Yields for Metal-Free Stars: - These are the yields that best map the stellar histories in the chemical evolution model to data on 35 stars from Cayrel et al. (2004). - These results offer the most direct comparison that the data will allow for comparing to ab initio SN models (i.e. Heger, Nomoto). - Detailed empirical yields will soon be available for a wide range of progenitor mass and metallicity, and will improve as data grows.

  30. Unraveling Chemical Evolution “One Star at a Time” Pure Z = 0 progenitors! For a given model, the model follows self-consistently the metallicity and mass distribution of progenitors that produced a Pop II star. Below [Fe/H] = -3, all supernova progenitors of Pop II stars are metal-free, so we can compare [Fe/H] < -3 yields directly with theory, and address IMF.

  31. Rich New Data, Puzzling New Patterns 1 01 VLT data - Cayrel et al. (2003) and Barklem et al. (2005) 82% at [Fe/H] ≤ -2.5 show r-process enrichment [Ba/Fe] HERES Survey - Barklem et al. (2005) [Fe/H] Thousands of metal-poor stars from decades of surveys, more to come. Fe-peak elements: small scatter, reversal and separation at low [Fe/H] r-process: > 2 dex scatter, including some very r-enhanced (r-II) stars.

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