Towards a library of synthetic galaxy spectra and preliminary results of classification and parametrization of unresolved galaxies for Gaia
Department of Astrophysics Astronomy & Mechanics, Faculty of Physics, University of Athens, 15783 Athens, Greece e-mail: firstname.lastname@example.org
2 Max-Planck-Institut für Astronomie, Königstuhl 17, 69117 Heidelberg, Germany
3 Institut d'Astrophysique de Paris, 98bis Bd Arago, 75014 Paris, France
4 Université de Paris-Sud XI, IAS, 91405 Orsay Cedex, France
5 Dionysos Satellite Observatory, National Technical University of Athens, 15780 Athens, Greece
6 IAA, National Observatory of Athens, PO Box 20048, 118 10 Athens, Greece
7 INAF, Padova Observatory, Vicolo dell'Osservatorio 5, 35122 Padova, Italy
8 Université Pierre et Marie Curie, 4 place Jussieu, 75005 Paris, France
Accepted: 12 May 2007
Aims.The Gaia astrometric survey mission will, as a consequence of its scanning law, obtain low resolution optical (330–1000 nm) spectrophotometry of several million unresolved galaxies brighter than . We present the first steps in a project to design and implement a classification system for these data. The goal is both to determine morphological classes and to estimate intrinsic astrophysical parameters via synthetic templates. Here we describe (1) a new library of synthetic galaxy spectra, and (2) first results of classification and parametrization experiments using simulated Gaia spectrophotometry of this library.
Methods.We have created a large grid of synthetic galaxy spectra using the PÉGASE.2 code, which is based on galaxy evolution models that take into account metallicity evolution, extinction correction, emission lines (with stellar spectra based on the BaSeL library). Our classification and regression models are Support Vector Machines (SVMs), which are kernel-based nonlinear estimators.
Results.We produce a basic library of about 3600 zero redshift galaxy spectra covering the main Hubble types over wavelength range 250 to 1050 nm at a sampling of 1 nm or less. It is computed on a regular grid of four key astrophysical parameters for each type and for intermediate random values of the same parameters. An extended library reproduces this at a series of redshifts. Initial results from the SVM classifiers and parametrizers are promising, indicating that Hubble types can be reliably predicted and several parameters estimated with low bias and variance. Comparing the colours of our synthetic library with Sloan Digital Sky Survey (SDSS) spectra we find good agreement over the full range of Hubble types and parameters.
Key words: galaxies: fundamental parameters / techniques: photometric / techniques: spectroscopic
© ESO, 2007