Bibcode
Cid Fernandes, R.; González Delgado, R. M.; García Benito, R.; Pérez, E.; de Amorim, A. L.; Sánchez, S. F.; Husemann, B.; Falcón Barroso, J.; López-Fernández, R.; Sánchez-Blázquez, P.; Vale Asari, N.; Vazdekis, A.; Walcher, C. J.; Mast, D.
Referencia bibliográfica
Astronomy and Astrophysics, Volume 561, id.A130, 19 pp.
Fecha de publicación:
1
2014
Revista
Número de citas
122
Número de citas referidas
111
Descripción
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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