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

By Marc Huertas-Company, J. Aguerri, Mariangela Bernardi, S. Mei, J. S. Almeida. 2010

170 citations recorded by the source corpus.

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

Subfields: Analytical Chemistry, Astronomy and Astrophysics

View Paper: https://www.semanticscholar.org/paper/616a8c567fd9dae2178e444d3c452d45478c4aa5

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In Analytical Chemistry

Sander Dieleman

In Astronomy and Astrophysics

Citations in the corpus

Rotation-invariant convolutional neural networks for galaxy morphology prediction (2015, methodology): “More recent work has profited from the availability of larger training sets using data from surveys such as the SDSS (Banerji et al. 2010; Huertas-Company et al. 2011).”
Galaxy Zoo 2: detailed morphological classifications for 304,122 galaxies from the Sloan Digital Sky Survey (2013, background): “Huertas-Company et al. (2011) directly compared their results to the GZ1 sample from Lintott et al. (2011).”
Flux- and volume-limited groups/clusters for the SDSS galaxies: catalogues and mass estimation (2014, background): “[50] hc e – probability of being an early-type galaxy (from Huertas-Company et al., 2011); 29.”
Evidence for spin alignment of spiral and elliptical/S0 galaxies in filaments (2012, methodology): “In Tempel et al. (2012a), we combined this classification with the morphological classification by the Galaxy Zoo project (Huertas-Company et al. 2011) and improved our classification.”
Early type galaxies have been the predominant morphological class for massive galaxies since only z~1 (2011, result): “First, we compare our results with the SDSS Bayesian automated morphological classification by Huertas-Company et al. (2011).”
RELATIONS BETWEEN CENTRAL BLACK HOLE MASS AND TOTAL GALAXY STELLAR MASS IN THE LOCAL UNIVERSE (2015, methodology): “For the AGN host galaxies with matches in the Huertas-Company et al. (2011) catalog (129 objects), we simply adopt the class with the highest probability.”
SUPERDENSE GALAXIES AND THE MASS–SIZE RELATION AT LOW REDSHIFT (2012, methodology): “…on average, with a < b/a >= 0.48, as might be expected given the high 3 Comparing with the Sloan Bayesian automated morphologicalclassifications of Huertas-Company et al. (2011), our morphological classifications agree with theirs (PTtype> 0.45, our S0s versus their S0+early-spirals) in 79% of…”
The massive end of the luminosity and stellar mass functions: Dependence on the fit to the light profile (2013, methodology): “In Section 4 we show how the luminosity and stellar mass functions depend on morphological type, where the type is determined by the Bayesian Automated Classification scheme of Huertas-Company et al. (2011).”
Selection bias in dynamically measured supermassive black hole samples: its consequences and the quest for the most fundamental relation (2016, methodology): “05 < z < 0.2, and with a morphology classification based on the Bayesian automated morphological classifier by Huertas-Company et al. (2011).”