Bibcode
Salo, H.; Laurikainen, Eija; Laine, Jarkko; Comerón, Sebastien; Gadotti, Dimitri A.; Buta, Ron; Sheth, Kartik; Zaritsky, Dennis; Ho, Luis; Knapen, J. H.; Athanassoula, E.; Bosma, Albert; Laine, Seppo; Cisternas, M.; Kim, Taehyun; Muñoz-Mateos, Juan Carlos; Regan, Michael; Hinz, Joannah L.; Gil de Paz, Armando; Menendez-Delmestre, Karin; Mizusawa, Trisha; Erroz-Ferrer, S.; Meidt, Sharon E.; Querejeta, Miguel
Referencia bibliográfica
The Astrophysical Journal Supplement Series, Volume 219, Issue 1, article id. 4, 45 pp. (2015).
Fecha de publicación:
7
2015
Número de citas
232
Número de citas referidas
211
Descripción
The Spitzer Survey of Stellar Structure in Galaxies (S4G) is
a deep 3.6 and 4.5 μm imaging survey of 2352 nearby (<40 Mpc)
galaxies. We describe the S4G data analysis pipeline 4, which
is dedicated to two-dimensional structural surface brightness
decompositions of 3.6 μm images, using GALFIT3.0. Besides automatic
1-component Sérsic fits, and 2-component Sérsic bulge +
exponential disk fits, we present human-supervised multi-component
decompositions, which include, when judged appropriate, a central point
source, bulge, disk, and bar components. Comparison of the fitted
parameters indicates that multi-component models are needed to obtain
reliable estimates for the bulge Sérsic index and bulge-to-total
light ratio (B/T), confirming earlier results. Here, we describe the
preparations of input data done for decompositions, give examples of our
decomposition strategy, and describe the data products released via IRSA
and via our web page (www.oulu.fi/astronomy/S4G_PIPELINE4/MAIN).
These products include all the input data and decomposition files in
electronic form, making it easy to extend the decompositions to suit
specific science purposes. We also provide our IDL-based visualization
tools (GALFIDL) developed for displaying/running GALFIT-decompositions,
as well as our mask editing procedure (MASK_EDIT) used in data
preparation. A detailed analysis of the bulge, disk, and bar parameters
derived from multi-component decompositions will be published
separately.
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