4.7 Article

Chemical Abundance Analysis of Tucana III, the Second r-process Enhanced Ultra-faint Dwarf Galaxy

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ASTROPHYSICAL JOURNAL
卷 882, 期 2, 页码 -

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IOP PUBLISHING LTD
DOI: 10.3847/1538-4357/ab3653

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资金

  1. National Science Foundation [AST-1138766, AST-1536171, AST-1714873]
  2. U.S. Department of Energy
  3. U.S. National Science Foundation
  4. Ministry of Science and Education of Spain
  5. Science and Technology Facilities Council of the United Kingdom
  6. Higher Education Funding Council for England
  7. National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign
  8. Center for Cosmology and Astro-Particle Physics at the Ohio State University
  9. Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University
  10. Financiadora de Estudos e Projetos
  11. Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro
  12. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico
  13. Deutsche Forschungsgemeinschaft
  14. Kavli Institute of Cosmological Physics at the University of Chicago
  15. Ministerio da Ciencia, Tecnologia e Inovacao
  16. MINECO [AYA2015-71825, ESP2015-66861, FPA2015-68048, SEV-2016-0588, SEV-2016-0597, MDM-2015-0509]
  17. ERDF funds from the European Union
  18. CERCA program of the Generalitat de Catalunya
  19. European Research Council under the European Union [240672, 291329, 306478]
  20. Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO) [CE110001020]
  21. Brazilian Instituto Nacional de Ciencia e Tecnologia (INCT) e-Universe (CNPq grant) [465376/2014-2]
  22. U.S. Department of Energy, Office of Science, Office of High Energy Physics [DE-AC02-07CH11359]
  23. Argonne National Laboratory
  24. University of California at Santa Cruz
  25. University of Cambridge
  26. Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas-Madrid
  27. University of Chicago
  28. University College London
  29. DES-Brazil Consortium
  30. University of Edinburgh
  31. Eidgenossische Technische Hochschule (ETH) Zurich
  32. Fermi National Accelerator Laboratory
  33. University of Illinois at Urbana-Champaign
  34. Institut de Ciencies de l'Espai (IEEC/CSIC)
  35. Institut de Fisica d'Altes Energies
  36. Lawrence Berkeley National Laboratory
  37. Ludwig-Maximilians Universitat Munchen
  38. University of Michigan
  39. National Optical Astronomy Observatory
  40. University of Nottingham
  41. Ohio State University
  42. University of Pennsylvania
  43. University of Portsmouth
  44. SLAC National Accelerator Laboratory
  45. Stanford University
  46. University of Sussex
  47. Texas AM University
  48. OzDES Membership Consortium

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We present a chemical abundance analysis of four additional confirmed member stars of Tucana III, a Milky Way satellite galaxy candidate in the process of being tidally disrupted as it is accreted by the Galaxy. Two of these stars are centrally located in the core of the galaxy while the other two stars are located in the eastern and western tidal tails. The four stars have chemical abundance patterns consistent with the one previously studied star in Tucana III: they are moderately enhanced in r-process elements, i.e., they have <[Eu/Fe]> approximate to +0.4 dex. The non-neutron-capture elements generally follow trends seen in other dwarf galaxies, including a metallicity range of 0.44 dex and the expected trend in alpha-elements, i.e., the lower metallicity stars have higher Ca and Ti abundances. Overall, the chemical abundance patterns of these stars suggest that Tucana III was an ultra-faint dwarf galaxy, and not a globular cluster, before being tidally disturbed. As is the case for the one other galaxy dominated by r-process enhanced stars, Reticulum II, Tucana III's stellar chemical abundances are consistent with pollution from ejecta produced by a binary neutron star merger, although a different r-process element or dilution gas mass is required to explain the abundances in these two galaxies if a neutron star merger is the sole source of r-process enhancement.

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