HEAL DSpace

Towards a library of synthetic galaxy spectra and preliminary results of classification and parametrization of unresolved galaxies for Gaia

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dc.contributor.author Tsalmantza, P en
dc.contributor.author Kontizas, M en
dc.contributor.author Bailer-Jones, CAL en
dc.contributor.author Rocca-Volmerange, B en
dc.contributor.author Korakitis, R en
dc.contributor.author Kontizas, E en
dc.contributor.author Livanou, E en
dc.contributor.author Dapergolas, A en
dc.contributor.author Bellas-Velidis, I en
dc.contributor.author Vallenari, A en
dc.contributor.author Fioc, M en
dc.date.accessioned 2014-03-01T01:27:29Z
dc.date.available 2014-03-01T01:27:29Z
dc.date.issued 2007 en
dc.identifier.issn 0004-6361 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/18472
dc.subject Galaxies: fundamental parameters en
dc.subject Techniques: photometric en
dc.subject Techniques: spectroscopic en
dc.subject.classification Astronomy & Astrophysics en
dc.subject.other Emission spectroscopy en
dc.subject.other Light extinction en
dc.subject.other Spectrophotometry en
dc.subject.other Spectrum analysis en
dc.subject.other Support vector machines en
dc.subject.other Astrometric survey en
dc.subject.other Galaxies: fundamental parameters en
dc.subject.other Metallicity evolution en
dc.subject.other Techniques: photometric en
dc.subject.other Techniques: spectroscopic en
dc.subject.other Galaxies en
dc.title Towards a library of synthetic galaxy spectra and preliminary results of classification and parametrization of unresolved galaxies for Gaia en
heal.type journalArticle en
heal.identifier.primary 10.1051/0004-6361:20077300 en
heal.identifier.secondary http://dx.doi.org/10.1051/0004-6361:20077300 en
heal.language English en
heal.publicationDate 2007 en
heal.abstract 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 V = 22. 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. © ESO 2007. en
heal.publisher EDP SCIENCES S A en
heal.journalName Astronomy and Astrophysics en
dc.identifier.doi 10.1051/0004-6361:20077300 en
dc.identifier.isi ISI:000247981000039 en
dc.identifier.volume 470 en
dc.identifier.issue 2 en
dc.identifier.spage 761 en
dc.identifier.epage 770 en


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