Issue |
A&A
Volume 545, September 2012
|
|
---|---|---|
Article Number | A80 | |
Number of page(s) | 24 | |
Section | Extragalactic astronomy | |
DOI | https://doi.org/10.1051/0004-6361/201218769 | |
Published online | 11 September 2012 |
A six-parameter space to describe galaxy diversification⋆
1
Université Joseph Fourier – Grenoble 1/CNRS, Institut de Planétologie et
d’Astrophysique de Grenoble,
BP 53,
38041
Grenoble Cedex 9,
France
e-mail: fraix@obs.ujf-grenoble.fr
2
Department of Applied Mathematics, Calcutta
University, 92 A.P.C.
Road, 700009
Kolkata,
India
3
Department of Statistics, Calcutta University,
35 Ballygunge Circular Road,
700019
Kolkata,
India
4
Université de Toulouse, CNRS, Institut de Recherches en
Astrophysique et Planétologie, 14
Av. E. Belin, 31400
Toulouse,
France
5
La Colline, 2072
St-Blaise,
Switzerland
Received:
3
January
2012
Accepted:
9
June
2012
Context. The diversification of galaxies is caused by transforming events such as accretion, interaction, or mergers. These explain the formation and evolution of galaxies, which can now be described by many observables. Multivariate analyses are the obvious tools to tackle the available datasets and understand the differences between different kinds of objects. However, depending on the method used, redundancies, incompatibilities, or subjective choices of the parameters can diminish the usefulness of these analyses. The behaviour of the available parameters should be analysed before any objective reduction in the dimensionality and any subsequent clustering analyses can be undertaken, especially in an evolutionary context.
Aims. We study a sample of 424 early-type galaxies described by 25 parameters, 10 of which are Lick indices, to identify the most discriminant parameters and construct an evolutionary classification of these objects.
Methods. Four independent statistical methods are used to investigate the discriminant properties of the observables and the partitioning of the 424 galaxies: principal component analysis, K-means cluster analysis, minimum contradiction analysis, and Cladistics.
Results. The methods agree in terms of six parameters: central velocity dispersion, disc-to-bulge ratio, effective surface brightness, metallicity, and the line indices NaD and OIII. The partitioning found using these six parameters, when projected onto the fundamental plane, looks very similar to the partitioning obtained previously for a totally different sample and based only on the parameters of the fundamental plane. Two additional groups are identified here, and we are able to provide some more constraints on the assembly history of galaxies within each group thanks to the larger number of parameters. We also identify another “fundamental plane” with the absolute K magnitude, the linear diameter, and the Lick index Hβ. We confirm that the Mg b vs. velocity dispersion correlation is very probably an evolutionary correlation, in addition to several other scaling relations. Finally, combining the results of our two papers, we obtain a classification of galaxies that is based on the transforming processes that are at the origin of the different groups.
Conclusions. By taking into account that galaxies are evolving complex objects and using appropriate tools, we are able to derive an explanatory classification of galaxies, based on the physical causes of the diverse properties of galaxies, as opposed to the descriptive classifications that are quite common in astrophysics.
Key words: galaxies: elliptical and lenticular, cD / galaxies: evolution / galaxies: formation / galaxies: fundamental parameters / methods: statistical
Appendices A–C are available in electronic form at http://www.aanda.org
© ESO, 2012
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.