Volume 525, January 2011
|Number of page(s)||13|
|Section||Catalogs and data|
|Published online||10 December 2010|
Revisiting the Hubble sequence in the SDSS DR7 spectroscopic sample: a publicly available Bayesian automated classification⋆
GEPI, Paris-Meudon Observatory,
5 Place Jules Janssen,
2 Université Paris Diderot, 75205 Paris Cedex 13, France
3 Instituto de Astrofísica de Canarias, C/ Vía Láctea s/n, 38200 La Laguna, Spain
4 Department of Physics & Astronomy, University of Pennsylvania, 209 S. 33rd St., Philadelphia, PA 19104, USA
Received: 10 September 2010
Accepted: 14 October 2010
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.
Key words: catalogs / astronomical databases: miscellaneous / Galaxy: fundamental parameters / galaxies: evolution / Galaxy: formation
Full catalog is only available in electronic form at CDS via anonymous ftp to cdsarc.u-strasbg.fr (22.214.171.124) 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
© ESO, 2010
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.