4.7 Article

SDSS-IV MaNGA: Bayesian analysis of the star formation history of low-mass galaxies in the local Universe

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 497, Issue 4, Pages 4753-4772

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/staa2337

Keywords

galaxies: evolution; galaxies: formation; galaxies: fundamental parameters; galaxies: stellar content

Funding

  1. National Key R&D Program of China [2018YFA0404502, 2018YFA0404503]
  2. National Science Foundation of China [11821303, 11973030, 11761131004, 11761141012]
  3. FONDECYT [1170618]
  4. National Research Foundation of Korea (NRF) - Korean Ministry of Education, Science and Technology (MoEST) [2017R1E1A1A01077508, 2020R1A2C1005655]
  5. Sejong University
  6. Alfred P. Sloan Foundation
  7. U.S. Department of Energy Office of Science
  8. Center for High-Performance Computing at the University of Utah
  9. Brazilian Participation Group
  10. Carnegie Institution for Science
  11. Carnegie Mellon University
  12. Chilean Participation Group
  13. French Participation Group
  14. Harvard-Smithsonian Center for Astrophysics
  15. Instituto de Astrofisica de Canarias
  16. Johns Hopkins University
  17. Kavli Institute for the Physics and Mathematics of the Universe (IPMU) / University of Tokyo
  18. Lawrence Berkeley National Laboratory
  19. Leibniz Institut fur Astrophysik Potsdam (AIP)
  20. MaxPlanck-Institut fur Astronomie (MPIA Heidelberg)
  21. Max-PlanckInstitut fur Astrophysik (MPA Garching)
  22. Max-Planck-Institut fur Extraterrestrische Physik (MPE)
  23. National Astronomical Observatories of China
  24. New Mexico State University
  25. New York University
  26. University of Notre Dame
  27. Observatario Nacional / MCTI
  28. Ohio State University
  29. Pennsylvania State University
  30. Shanghai Astronomical Observatory
  31. United Kingdom Participation Group
  32. Universidad Nacional Autonoma de Mexico
  33. University of Arizona
  34. University of colourado Boulder
  35. University of Oxford
  36. University of Portsmouth
  37. University of Utah
  38. University of Virginia
  39. University of Washington
  40. University of Wisconsin
  41. Vanderbilt University
  42. Yale University
  43. National Research Foundation of Korea [2017R1E1A1A01077508, 2020R1A2C1005655] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

Ask authors/readers for more resources

We measure the star formation histories (SFHs) of a sample of low-mass galaxies with M-* < 10(9) M-circle dot from the SDSS-IV MaNGA survey. The large number of IFU spectra for each galaxy are either combined to reach a high signal to noise ratio or used to investigate spatial variations. We use Bayesian inferences based on full spectrum fitting. Our analysis based on Bayesian evidence ratio indicates a strong preference for a model that allows the presence of an old stellar population, and that an improper model for the SFH can significantly underestimate the old population in these galaxies. The addition of near-infrared photometry to the constraining data can further distinguish between different SFH model families and significantly tighten the constraints on the mass fraction in the old population. On average more than half of the stellar mass in present-day low-mass galaxies formed at least 8 Gyr ago, while about 30 per cent within the past 4 Gyr. Satellite galaxies on average have formed their stellar mass earlier than central galaxies. The radial dependence of the SFH is quite weak. Our results suggest that most of the low-mass galaxies have an early episode of active star formation that produces a large fraction of their present stellar mass.

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