4.7 Article

Estimating Dust Attenuation from Galactic Spectra. I. Methodology and Tests

Journal

ASTROPHYSICAL JOURNAL
Volume 896, Issue 1, Pages -

Publisher

IOP PUBLISHING LTD
DOI: 10.3847/1538-4357/ab92a1

Keywords

Dust continuum emission; Interstellar medium; Galaxies; Interstellar dust extinction; Stellar populations; Extragalactic astronomy; Spectral energy distribution; Spectroscopy; Galaxy evolution; Galaxy processes; Interstellar absorption; Sky surveys

Funding

  1. National Key R&D Program of China [2018YFA0404502, 2018YFA0404503]
  2. National Science Foundation of China [11821303, 11973030, 11673015, 11733004, 11761131004, 11761141012]
  3. Alfred P. Sloan Foundation
  4. U.S. Department of Energy Office of Science
  5. Center for High-Performance Computing at the University of Utah
  6. Brazilian Participation Group
  7. Carnegie Institution for Science
  8. Carnegie Mellon University
  9. Chilean Participation Group
  10. French Participation Group
  11. Harvard-Smithsonian Center for Astrophysics
  12. Instituto de Astrofisica de Canarias
  13. Johns Hopkins University
  14. Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo
  15. Lawrence Berkeley National Laboratory
  16. Leibniz Institut fur Astrophysik Potsdam (AIP)
  17. Max-Planck-Institut fur Astronomie (MPIA Heidelberg)
  18. Max-Planck-Institut fur Astrophysik (MPA Garching)
  19. Max-Planck-Institut fur Extraterrestrische Physik (MPE)
  20. National Astronomical Observatories of China
  21. New Mexico State University
  22. New York University
  23. University of Notre Dame
  24. Observatario Nacional/MCTI
  25. Ohio State University
  26. Pennsylvania State University
  27. Shanghai Astronomical Observatory
  28. United Kingdom Participation Group
  29. Universidad Nacional Autonoma de Mexico
  30. University of Arizona
  31. University of Colorado Boulder
  32. University of Oxford
  33. University of Portsmouth
  34. University of Utah
  35. University of Virginia
  36. University of Washington
  37. University of Wisconsin
  38. Vanderbilt University
  39. Yale University

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We develop a method to estimate the dust attenuation curve of galaxies from full optical spectral fitting. Motivated by previous studies, we separate the small-scale features from the large-scale spectral shape, by performing a moving average method to both the observed spectrum and the simple stellar population (SSP) model spectra. The intrinsic dust-free model spectrum is then derived by fitting the observed ratio of the small- to large-scale (S/L) components with theS/Lratios of the SSP models. The selective dust attenuation curve is then determined by comparing the observed spectrum with the dust-free model spectrum. One important advantage of this method is that the estimated dust attenuation curve is independent of the shape of theoretical dust attenuation curves. We have done a series of tests on a set of mock spectra covering wide ranges of stellar age and metallicity. We show that our method is able to recover the input dust attenuation curve accurately, although the accuracy depends slightly on the signal-to-noise ratio of the spectra. We have applied our method to a number of edge-on galaxies with obvious dust lanes from the ongoing MaNGA survey, deriving their dust attenuation curves andE(B - V) maps, as well as dust-free images ing,r, andibands. These galaxies show obvious dust lane features in their original images, which largely disappear after we have corrected the effect of dust attenuation. The vertical brightness profiles of these galaxies become axisymmetric and can well be fitted by a simple disk vertical structure model.

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