Title: ESO Imaging Survey - Exploring the optical/infrared imaging data of CDF-S: Point sources
Authors: Hatziminaoglou, E ×
Groenewegen, Martin
da Costa, L
Arnouts, S
Benoist, C
Madejsky, R
Mignani, RP
Olsen, LF
Rite, C
Schirmer, M
Slijkhuis, R
Vandame, B #
Issue Date: 2002
Publisher: E D P SCIENCES
Series Title: Astronomy & Astrophysics vol:384 issue:1 pages:81-98
Conference: date:European So Observ, D-85748 Garching, Germany; Observ Cote Azur, F-06304 Nice 4, France; Univ Estadual Feira Santana, Feira De Santana, BA, Brazil; Astron Observ, DK-2100 Copenhagen, Denmark; Observ Nacl, Rio De Janeiro, Brazil; Max Planck Inst Astrophys, D-85748 Garching, Germany
Abstract: This paper describes the methodology currently being implemented in the EIS pipeline for analysing optical/infrared multi-colour data. The aim is to identify different classes of objects as well as possible undesirable features associated with the construction of colour catalogues. The classification method used is based on the chi(2)-fitting of template spectra to the observed SEDs, as measured through broad-band filters. Its main advantage is the simultaneous use of all colours, properly weighted by the photometric errors. In addition, it provides basic information on the properties of the classified objects (e.g. redshift, effective temperature). These characteristics make the chi(2)-technique ideal for handling large multi-band datasets. The results are compared to the more traditional colour-colour selection and, whenever possible, to model predictions. In order to identify objects with odd colours, either associated with rare populations or to possible problems in the catalogue, outliers are searched for in the multi-dimensional colour space using a nearest-neighbour criterion. Outliers with large chi(2)-values are individually inspected to further investigate their nature. The tools developed are used for a preliminary analysis of the multi-colour point source catalogue constructed from the optical/infrared imaging data obtained for the Chandra Deep Field South (CDF-S). These data are publicly available, representing the first installment of the ongoing EIS Deep Public Survey.
ISSN: 0004-6361
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Institute of Astronomy
× corresponding author
# (joint) last author

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