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  1. OA@INAF
  2. PRODOTTI RICERCA INAF
  3. 1 CONTRIBUTI IN RIVISTE (Journal articles)
  4. 1.01 Articoli in rivista
Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12386/29098
Title: X-ray selection of Compton-Thick AGN at high redshift
Authors: LANZUISI, Giorgio 
Issue Date: 2017
Journal: ASTRONOMISCHE NACHRICHTEN 
Number: 338
Issue: 2-3
First Page: 316
Abstract: Compton-Thick (CT) active galactic nuclei (AGN) are a key ingredient of cosmic X-ray background (CXB) synthesis models, but are still an elusive component of the AGN population beyond the local universe. Multiwavelength surveys are the only way to find them at z > ∼ 0.1, and a deep X-ray coverage is crucial in order to clearly identify them among star-forming galaxies. As an example, the deep and wide COSMOS survey allowed us to select a total of 34 CT sources. This number is computed from the 64 nominal CT candidates, each counted for its N<SUB>H</SUB> probability distribution function. For each of these sources, rich multiwavelength information is available, which is used to confirm their obscured nature by comparing the expected AGN luminosity from spectral energy distribution fitting with the absorption-corrected X-ray luminosity. While Chandra is more efficient, for a given exposure, in detecting CT candidates in current surveys (by a factor ∼ 2), deep XMM-Newton pointings of bright sources are vital to fully characterize their properties, for example, N<SUB>H</SUB> distribution above 10<SUP>25</SUP> cm<SUP>- 2</SUP>, reflection intensity, etc., all crucial parameters of CXB models. Since luminous CT AGN at high redshift are extremely rare, the future of CT studies at high redshift will have to rely on the large-area surveys currently under way, such as XMM-XXL and Stripe82, and will then require dedicated follow-up with XMM-Newton, while waiting for the advent of the ESA mission Athena.
URI: http://hdl.handle.net/20.500.12386/29098
URL: https://arxiv.org/pdf/1611.07036.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1002/asna.201713349
ISSN: 0004-6337
DOI: 10.1002/asna.201713349
Bibcode ADS: 2017AN....338..316L
Fulltext: open
Appears in Collections:1.01 Articoli in rivista

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