IAU01608
Presentation type requested: ORAL
ARCHETYPAL ANALYSIS OF FAINT 1.4 GHZ SOURCES IN 2DFGRS
Ben H Chan
University of Sydney
Methods of spectral classification of galaxies date from the pioneering work of Humason (1936) and Morgan & Mayall (1957). In recent years, large scale spectroscopic redshift surveys has triggered interest in automated galaxy classification techniques. Among these, archetypal analysis is unique in that it does not require a prior model and it uses the data itself to describe the statistical features of the entire data set. Archetypal analysis may be particularly useful in analysing data sets comprising galaxy spectra, since each spectrum is, presumably, a superposition of the emission from the various stellar populations, nebular emissions and nuclear activity making up that galaxy, and each of these emission sources corresponds to a potential archetype of the entire data set. Following from the successful results of our attempt in using archetypal analysis to extract compositional information from synthetic galaxy spectra (Chan, Mitchell & Cram 2003), we have now applied the method to a small sample of real galaxies found in a pilot radio follow-up survey of the 2dFGRS. In this presentation, I will discuss the possibility of using archetypal analysis as a new tool for automated galaxy classification.
Mitchell Daniel A, Cram Lawrence E, Jackson Carole A, Sadler Elaine M, Killeen Neil E, Mobasher Bahram , Ekers Ron D
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