Selection of AGN candidates in the GOODS-South Field through Spitzer/MIPS 24 μm variability

We present a study of galaxies showing mid-infrared variability in data taken in the deepest Spitzer/MIPS 24 mu m surveys in the Great Observatory Origins Deep Survey South field. We divide the data set in epochs and subepochs to study the long-term (months-years) and the short-term (days) variabili...

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Detalhes bibliográficos
Autores: García González, Judit, Alonso Herrero, Almudena, Pérez González, Pablo Guillermo, Hernán Caballero, Antonio, Sarajedini, Vicki L., Villar, Victor
Tipo de documento: artigo
Data de publicação:2015
País:España
Recursos:Universidad Complutense de Madrid (UCM)
Repositório:Docta Complutense
Idioma:inglês
OAI Identifier:oai:docta.ucm.es:20.500.14352/23014
Acesso em linha:https://hdl.handle.net/20.500.14352/23014
Access Level:Acceso aberto
Palavra-chave:52
Active galactic nuclei
Star-forming galaxies
Supermassive black-holes
Point-source catalogs
Hubble deep field
X-ray sources
Midinfrared selection
Photometric redshifts
Spectral properties
Formation history
Astrofísica
Astronomía (Física)
Física atmosférica
2501 Ciencias de la Atmósfera
Descrição
Resumo:We present a study of galaxies showing mid-infrared variability in data taken in the deepest Spitzer/MIPS 24 mu m surveys in the Great Observatory Origins Deep Survey South field. We divide the data set in epochs and subepochs to study the long-term (months-years) and the short-term (days) variability. We use a chi^(2)-statistics method to select active galactic nucleus (AGN) candidates with a probability <≤ 1% that the observed variability is due to statistical errors alone. We find 39 (1.7 per cent of the parent sample) sources that show long-term variability and 55 (2.2 per cent of the parent sample) showing short-term variability. That is, 0.03 sources x arcmin^(-2) for both, long-term and short-term variable sources. After removing the expected number of false positives inherent to the method, the estimated percentages are 1.0 and 1.4 per cent of the parent sample for the long term and short term, respectively. We compare our candidates with AGN selected in the X-ray and radio bands, and AGN candidates selected by their IR emission. Approximately, 50 per cent of the MIPS (Multiband Imaging Photometer for Spitzer) 24 mu m variable sources would be identified as AGN with these other methods. Therefore, MIPS 24 μm variability is a new method to identify AGN candidates, possibly dust obscured and low-luminosity AGN, that might be missed by other methods. However, the contribution of the MIPS 24 mu m variable identified AGN to the general AGN population is small (≤ 13%) in GOODS-South.