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Astron. Astrophys. 330, 447-452 (1998)
Neural network method for galaxy classification:
the luminosity function of E/S0 in clusters *
Emilio Molinari 1 and
Riccardo Smareglia 2
1 Osservatorio Astronomico di Brera, Via Bianchi 46,
I-23807 Merate (LC), Italy (molinari@merate.mi.astro.it)
2 Osservatorio Astronomico di Trieste, Via Tiepolo 11,
I-34131 Trieste, Italy
Received 24 March 1997 / Accepted 2 October 1997
Abstract
We present a method based on the non-linear behaviour of neural network for the identification of the early-type population in the cores of galaxy clusters. A Kohonen Self Organising Map applied on a three-colour photometric catalogue of objects enabled us to select in each passband the elliptical galaxies. We measured in this way the luminosity function of the E/S0 galaxies selected in this way. Such luminosity functions show peculiarities which disfavour the hypothesis of its universality often claimed for rich clusters and that can be related to the past dynamical history of the cluster as a whole.
Key words: galaxies: clusters:
general 
galaxies: elliptical and
lenticular
galaxies: luminosity
function
galaxies:
photometry
methods: miscellaneous
* Based on observations made at the European Southern Observatory (ESO), La Silla, Chile
Contents
- 1. Introduction
- 2. The data
- 3. The classification algorithm
- 4. The luminosity functions
- 5. Conclusions
- References
© European Southern Observatory (ESO) 1998
Online publication: January 16, 1998
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