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Article Dans Une Revue Astronomy and Astrophysics - A&A Année : 2011

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

Résumé

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.

Dates et versions

hal-03784945 , version 1 (23-09-2022)

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Citer

Marc Huertas, J. Alfonso L. Aguerri, Mariangela Bernardi, Simona Mei, J. Sánchez Almeida. Revisiting the Hubble sequence in the SDSS DR7 spectroscopic sample: a publicly available Bayesian automated classification. Astronomy and Astrophysics - A&A, 2011, 525, pp.157. ⟨10.1051/0004-6361/201015735⟩. ⟨hal-03784945⟩
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