4.6 Article

Resolving galaxies in time and space II. Uncertainties in the spectral synthesis of datacubes

Journal

ASTRONOMY & ASTROPHYSICS
Volume 561, Issue -, Pages -

Publisher

EDP SCIENCES S A
DOI: 10.1051/0004-6361/201321692

Keywords

techniques: imaging spectroscopy; galaxies: evolution; galaxies: stellar content

Funding

  1. INCT-A, Brazil
  2. CAPES
  3. CNPq
  4. DFG [Wi 1369/29-1]
  5. Spanish Ministerio de Economia y Competitividad [AYA2010-15081, AYA2010-22111-C03-03, AYA2010-10904E, AYA2010-21322-C03-02]
  6. Ramon y Cajal Program
  7. Viabilidad, Diseno, Acceso y Mejora funding program [ICTS-2009-10]
  8. Alfred P. Sloan Foundation
  9. National Science Foundation
  10. U.S. Department of Energy
  11. National Aeronautics and Space Administration
  12. Japanese Monbukagakusho
  13. Max Planck Society
  14. Higher Education Funding Council for England
  15. American Museum of Natural History
  16. Astrophysical Institute Potsdam
  17. University of Basel
  18. University of Cambridge
  19. Case Western Reserve University
  20. University of Chicago
  21. Drexel University
  22. Fermilab
  23. Institute for Advanced Study
  24. Johns Hopkins University
  25. Joint Institute for Nuclear Astrophysics
  26. Kavli Institute for Particle Astrophysics and Cosmology
  27. Chinese Academy of Sciences (LAMOST)
  28. Los Alamos National Laboratory
  29. Max-Planck-Institute for Astronomy (MPIA)
  30. Max-Planck-Institute for Astrophysics (MPA)
  31. New Mexico State University
  32. Ohio State University
  33. University of Pittsburgh
  34. University of Portsmouth
  35. Princeton University
  36. United States Naval Observatory
  37. University of Washington

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Aims. In a companion paper we have presented many products derived from the application of the spectral synthesis code STARLIGHT to datacubes from the CALIFA survey, including 2D maps of stellar population properties (such as mean ages, mass, and extinction) and 1D averages in the temporal and spatial dimensions. Our goal here is to assess the uncertainties in these products. Methods. Uncertainties associated to noise and spectral shape calibration errors in the data and to the synthesis method were investigated by means of a suite of simulations, perturbing spectra and processing them through our analysis pipelines. The simulations used 1638 CALIFA spectra for NGC 2916, with perturbation amplitudes gauged in terms of the expected errors. A separate study was conducted to assess uncertainties related to the choice of evolutionary synthesis models, the key ingredient in the translation of spectroscopic information into stellar population properties. We compare the results obtained with three different sets of models: the traditional Bruzual & Charlot models, a preliminary update of them, and a combination of spectra derived from the Granada and MILES models. About 105 spectra from over 100 CALIFA galaxies were used in this comparison. Results. Noise and shape-related errors at the level expected for CALIFA propagate to uncertainties of 0.10-0.15 dex in stellar masses, mean ages, and metallicities. Uncertainties in AV increase from 0.06 mag for random noise to 0.16 mag for spectral shape errors. Higher-order products such as star formation histories are more uncertain than global properties, but still relatively stable. Owing to the large number statistics of datacubes, spatial averaging reduces uncertainties while preserving information on the history and structure of stellar populations. Radial profiles of global properties, and star formation histories averaged over different regions are much more stable than those obtained for individual spaxels. Uncertainties related to the choice of base models are larger than those associated with data and method. Except for metallicities, which come out very different when fits are performed with the Bruzual & Charlot models, differences in mean age, mass, and metallicity are of the order of 0.15 to 0.25 dex, and 0.1 mag for AV. Spectral residuals are of the order of 1% on average, but with systematic features of up to 4% amplitude. We discuss the origin of these features, most of which are present in both in CALIFA and SDSS spectra.

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