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Effectiveness of WISE colour-based selection techniques to uncover obscured AGN

Published online by Cambridge University Press:  25 July 2014

S. Mateos
S. Mateos*
Affiliation:
Instituto de Física de Cantabria (CSIC-Universidad de Cantabria), 39005 Santander, Spain email: mateos@ifca.unican.es
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Abstract

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We present a highly reliable and efficient mid-infrared colour-based selection technique for luminous active galactic nuclei (AGN) using the Wide-field Infrared Survey Explorer (WISE) survey. Our technique is designed to identify objects with red mid-infrared power-law spectral energy distributions. We studied the dependency of our mid-infrared selection on the AGN intrinsic luminosity and the effectiveness of our technique to uncover obscured AGN missed in X-ray surveys. To do so we used two samples of luminous AGN independently selected in hard X-ray and optical surveys. We used the largest catalogue of 887 [OIII] λ5007-selected type 2 quasars (QSO2s) at z≲0.83 in the literature from the Sloan Digital Sky Survey (SDSS), and the 258 hard (>4.5 keV) X-ray-selected AGN from the Bright Ultrahard XMM-Newton Survey (BUXS). The effectiveness of our mid-infrared selection technique increases with the AGN luminosity. At high luminosities and at least up to z~1 our technique is very effective at identifying both Compton-thin and Compton-thick AGN.

Keywords

galaxies: generalgalaxies: activeinfrared: galaxies
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 9 , Symposium S304: Multiwavelength AGN Surveys and Studies , October 2013 , pp. 209 - 212
Copyright
Copyright © International Astronomical Union 2014 

References

Alonso-Herrero, A., et al. 2006, ApJ, 640, 167CrossRefGoogle Scholar
Assef, R. J., et al. 2013, ApJ, 772, 26ACrossRefGoogle Scholar
Burlon, D., Ajello, M., Greiner, J., Comastri, A., Merloni, A.,& Gehrels, N. 2011, ApJ, 728, 58Google Scholar
Donley, J. L., et al. 2012, ApJ, 748, 142Google Scholar
Fabian, A. C. & Iwasawa, K. 1999, MNRAS, 303, L34Google Scholar
Jia, J., Ptak, A., Heckman, T., & Zakamska, N. L. 2013, ApJ, 777, 27Google Scholar
Jin, C., Ward, M., & Done, C. 2012, MNRAS, 422, 3268Google Scholar
Lacy, M., et al. 2004, ApJS, 154, 166CrossRefGoogle Scholar
Mateos, S., et al. 2012, MNRAS, 426, 3271CrossRefGoogle Scholar
Mateos, S., Alonso-Herrero, A., Carrera, F. J., Blain, A., Severgnini, P., Caccianiga, A., & Ruiz, A. 2013, MNRAS, 434, 941Google Scholar
Messias, H., Afonso, J. M., Salvato, M., Mobasher, B., & Hopkins, A. M. 2013, A&A, in press (arXiv:1312.3336)Google Scholar
Reyes, R., et al. 2008, AJ, 136, 2373Google Scholar
Stern, D., et al. 2005, ApJ, 631, 163Google Scholar
Stern, D., Assef, R. J., Benford, D. J., et al. 2012, ApJ, 753, 30CrossRefGoogle Scholar
Vignali, C., Alexander, D. M., Gilli, R., & Pozzi, F. 2010, MNRAS, 404, 48Google Scholar
Wright, E. L., et al. 2010, AJ, 140, 1868Google Scholar
Yan, L., et al. 2013, AJ, 145, 55CrossRefGoogle Scholar