Abstract
An automatic classification technique for separating the different astronomical objects in classes based on multi-colour photometry only, is presented. The technique consists of a standard fitting procedure, where the observed spectral energy distributions are compared to a template library. This method is applied on the point-like source catalogue of the Chandra Deep Field South. The spectral library consists of a series of quasar, white dwarf, low-mass star, brown dwarf and main sequence star theoretical templates and/or observed spectra. Over an area of 0.25 square degrees a total of 234 quasar candidates, 48 low-mass star and brown dwarf and 100 white dwarf candidates have been selected.
European Southern Observatory
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Vandame, B. et al., 2001, accepted for publication in A&A, astroph/0102300
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Hatziminaoglou, E., EIS team. (2003). χ2-method: An Automatic Classification Technique. In: Statistical Challenges in Astronomy. Springer, New York, NY. https://doi.org/10.1007/0-387-21529-8_41
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DOI: https://doi.org/10.1007/0-387-21529-8_41
Publisher Name: Springer, New York, NY
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