Volume 556, August 2013
|Number of page(s)||11|
|Section||Numerical methods and codes|
|Published online||05 August 2013|
Pushing the limits of the Gaia space mission by analyzing galaxy morphology
SIM, Faculdade de Ciências da Universidade de Lisboa,
Ed. C8, Campo Grande,
2 IAG, Universidade de São Paulo, Rua do Matão, 1226, 05508-900 São Paulo, SP, Brazil
3 Observatoire Aquitain des Sciences de l’Univers, Laboratoire d’Astrophysique de Bordeaux, CNRS-UMR 5804, BP 89, 33271 Floirac Cedex, France
4 Laboratoire Lagrange, UMR 7293, Université de Nice Sophia-Antipolis, CNRS, Observatoire de la Côte d’Azur, BP 4229, Nice Cedex 4, France
5 GEPI, Observatoire de Paris, CNRS, Université Paris Diderot, 5 place Jules Janssen, 92190 Meudon, France
Accepted: 3 May 2013
Context. The ESA Gaia mission, to be launched during 2013, will observe billions of objects, among which many galaxies, during its 5 yr scanning of the sky. This will provide a large space-based dataset with unprecedented spatial resolution.
Aims. Because of its natural Galactic and astrometric priority, Gaia’s observational strategy was optimized for point sources. Nonetheless, it is expected that ~106 sources will be extragalactic, and a large portion of them will be angularly small galaxies. Although the mission was designed for point sources, an analysis of the raw data will allow the recovery of morphology of those objects at a ~0.2′′ level. This may constitute a unique all-sky survey of such galaxies. We describe the conceptual design of the method adopted for the morphological analysis of these objects as well as first results obtained from data simulations of low-resolution highly binned data.
Methods. First, the raw Gaia 1D observations are used to reconstruct a 2D image of the object – this image is known to contain artifacts and reconstruction signatures. Then, parameters characteristic of the reconstructed image are measured, and used for a purely morphological classification. Finally, based on the classification, a light profile is selected (pure-disk, disk+bulge, pure bulge, point source+disk, etc.) and fitted to all Gaia 1D observations simultaneously in a global process using forward modeling.
Results. Using simulations of Gaia observations from official Gaia Data Processing and Analysis Consortium tools, we were able to obtain the preliminary classification of the simulated objects at the ~83% level for two classes (ellipticals, spirals/irregulars) or at the ~79%, ~56%, and ~74% levels for three classes (E, S, and I). The morphological parameters of simulated object light profiles are recovered with errors at the following levels: −9 ± 36% for the bulge radius, 11 ± 53% for the bulge intensity, 1 ± 4% for the disk radius, and −1 ± 7% for the disk intensity. From these results, we conclude that it is possible to push the limits of the Gaia space mission by analysing galaxy morphology.
Key words: galaxies: general / methods: data analysis / techniques: image processing / surveys / space vehicles: instruments
© ESO, 2013
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