KRONE-MARTINS, A.; DUCOURANT, C.; TEXEIRA, R.

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KRONE-MARTINS, A.
Observatoire aquitain des sciences de l'univers [OASU]
Laboratoire d'Astrophysique de Bordeaux [Pessac] [LAB]
Laboratoire d'astrodynamique, d'astrophysique et d'aéronomie de bordeaux [L3AB]

DUCOURANT, C.
Observatoire aquitain des sciences de l'univers [OASU]
Laboratoire d'Astrophysique de Bordeaux [Pessac] [LAB]
Laboratoire d'astrodynamique, d'astrophysique et d'aéronomie de bordeaux [L3AB]
Instituto de Astronomia, Geofísica e Ciências Atmosféricas [São Paulo] [IAG]

TEXEIRA, R.

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Communication dans un congrès

Este ítem está publicado en

AIP Conference Proceedings Volume 1082, AIP Conference Proceedings Volume 1082, CLASSIFICATION AND DISCOVERY IN LARGE ASTRONOMICAL SURVEYS, 2008-10-14, Ringberg Castle. 2008, vol. 1082, p. 151-155

Coryn A.L. Bailer-Jones, Max Planck Institute for Astronomy ISBN: 978-0-7354-0613-1

Resumen en inglés

In this work we present some parameters that are being studied to perform a purely morphological analysis of reconstructed images of extended objects, particularly galaxies, in the context of the ESA-Gaia mission. Those parameters, known as Concentration, Asymmetry, Clumpiness, Gini's coefficient and the Momentum of the brightest 20% of the galaxy, form a set that is becoming commonly used when a limited number of pixels is available to analyse, such as will be the case for Gaia reconstructed images. We comment about small modifications on those parameters that are planned to be performed. We also report tests with a preliminar version of the code that is being written to analyse Gaia images on a sample based on the Frei catalog of galaxies. Finally, we comment on the possibility of using Support Vector Machines to perform the morphological classification based on those measured parameters, and conclude that a very good level of segregation can be obtained for a two-class discrimination.< Leer menos

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Laboratoire d'Astrophysique de Bordeaux (LAB) - UMR 5804