Revisiting the Hubble sequence in the SDSS DR7 spectroscopic sample: a publicly available Bayesian automated classification

Bibcode
2011A&A...525A.157H
DOI
10.1051/0004-6361/201015735
Huertas-Company, M.; Aguerri, J. A. L.; Bernardi, M.; Mei, S.; Sánchez-Almeida, J.
Bibliographical reference

Astronomy and Astrophysics, Volume 525, id.A157

Advertised on:
1
2011
Journal
Astronomy and Astrophysics
Number of authors
5
IAC number of authors
2
Citations
164
Refereed citations
156
Description
We present an automated morphological classification in 4 types (E, S0, Sab, Scd) of ~700 000 galaxies from the SDSS DR7 spectroscopic sample based on support vector machines. The main new property of the classification is that we associate a probability to each galaxy of being in the four morphological classes instead of assigning a single class. The classification is therefore better adapted to nature where we expect a continuous transition between different morphological types. The algorithm is trained with a visual classification and then compared to several independent visual classifications including the Galaxy Zoo first-release catalog. We find a very good correlation between the automated classification and classical visual ones. The compiled catalog is intended for use in different applications and is therefore freely available through a dedicated webpage* and soon from the CasJobs database. Full catalog is only available in electronic form at CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/525/A157 or via http://gepicom04.obspm.fr/sdss_morphology/Morphology_2010.html
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