4.7 Article

Stellar migration and chemical enrichment in the milky way disc: a hybrid model

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 508, Issue 3, Pages 4484-4511

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stab2718

Keywords

methods: numerical; galaxies: abundances; galaxies: evolution; galaxies: star formation; galaxies: stellar content

Funding

  1. National Science Foundation [AST-1909841]
  2. W.M. Keck Foundation
  3. Hendricks Foundation
  4. Center for Cosmology and Astro Particle Physics at The Ohio State University
  5. Alfred P. Sloan Foundation
  6. U.S. Department of Energy Office of Science
  7. Brazilian Participation Group
  8. Carnegie Institution for Science
  9. Carnegie Mellon University
  10. Center for Astrophysics | Harvard Smithsonian
  11. Chilean Participation Group
  12. French Participation Group
  13. Instituto de Astrofisica de Canarias
  14. Johns Hopkins University
  15. Kavli Institute for the Physics and Mathematics of the Universe (IPMU) / University of Tokyo
  16. Korean Participation Group
  17. Lawrence Berkeley National Laboratory
  18. Leibniz Institut fur Astrophysik Potsdam (AIP)
  19. Max-Planck-Institut fur Astronomie (MPIA Heidelberg)
  20. Max-Planck-Institut fur Astrophysik (MPA Garching)
  21. Max-Planck-Institut fur Extraterrestrische Physik (MPE)
  22. National Astronomical Observatories of China
  23. New Mexico State University
  24. New York University
  25. University of Notre Dame
  26. Observatario Nacional / MCTI
  27. Ohio State University
  28. Pennsylvania State University
  29. Shanghai Astronomical Observatory
  30. United Kingdom Participation Group
  31. Universidad Nacional Autonoma de Mexico
  32. University of Arizona
  33. University of Colorado Boulder
  34. University of Oxford
  35. University of Portsmouth
  36. University of Utah
  37. University of Virginia
  38. University of Washington
  39. University of Wisconsin
  40. Vanderbilt University
  41. Yale University

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A hybrid model of galactic chemical evolution was developed, combining multiring computation of chemical enrichment with stellar migration and vertical distribution of stellar populations. The model successfully reproduces many qualitative features of the Milky Way disc, suggesting that more dramatic evolutionary pathways may be required.
We develop a hybrid model of galactic chemical evolution that combines a multiring computation of chemical enrichment with a prescription for stellar migration and the vertical distribution of stellar populations informed by a cosmological hydrodynamic disc galaxy simulation. Our fiducial model adopts empirically motivated forms of the star formation law and star formation history, with a gradient in outflow mass loading tuned to reproduce the observed metallicity gradient. With this approach, the model reproduces many of the striking qualitative features of the Milky Way disc's abundance structure: (i) the dependence of the [O/Fe]-[Fe/H] distribution on radius R-gal and mid-plane distance vertical bar z vertical bar; (ii) the changing shapes of the [O/H] and [Fe/H] distributions with R-gal and vertical bar z vertical bar; (iii) a broad distribution of [O/Fe] at sub-solar metallicity and changes in the [O/Fe] distribution with R-gal, vertical bar z vertical bar, and [Fe/H]; (iv) a tight correlation between [O/Fe] and stellar age for [O/Fe] > 0.1; (v) a population of young and intermediate-age alpha-enhanced stars caused by migration-induced variability in the Type Ia supernova rate; (vi) non-monotonic age-[O/H] and age-[Fe/H] relations, with large scatter and a median age of similar to 4 Gyr near solar metallicity. Observationally motivated models with an enhanced star formation rate similar to 2 Gyr ago improve agreement with the observed age-[Fe/H] and age-[O/H] relations, but worsen agreement with the observed age-[O/Fe] relation. None of our models predict an [O/Fe] distribution with the distinct bimodality seen in the observations, suggesting that more dramatic evolutionary pathways are required. All code and tables used for our models are publicly available through the Versatile Integrator for Chemical Evolution (VICE; https://pypi.org/project/vice).

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