Identification of (high-redshift) AGN with WFXT: lessons from COSMOS and CDFS
Marcella Brusa (MPE), Roberto Gilli (INAF-OABo), Francesca Civano, (CfA), Andrea Comastri (INAF-OABo), Fabrizio Fiore (INAF-OARoma), and, Cristian Vignali (Dipartimento di Astronomia, Bologna)

TL;DR
This paper discusses strategies for identifying high-redshift AGN in future WFXT X-ray surveys, emphasizing statistical tools and multi-wavelength data integration to improve source classification accuracy.
Contribution
It introduces a statistical method for identifying faint, high-redshift AGN in large X-ray samples and discusses the importance of optical and infrared data for reliable identification.
Findings
Proposed a statistical tool for AGN identification in WFXT data
Highlighted the importance of multi-wavelength catalogs for accurate classification
Discussed synergies with existing and future observational facilities
Abstract
The Wide Field X-ray Telescope (WFXT) will provide tens of millions of AGN, with more than 4x10^5 expected at z>3. Here we review the issues present in the identification of (large) samples of faint and high-redshift X-ray sources, and describe a statistical, powerful tool that can be applied to WFXT catalogs. The depth of associated optical and near infrared catalogs, needed for a reliable and as much complete as possible identification, are also discussed, along with the combined synergies with existing or planned facilities
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Taxonomy
TopicsParticle Detector Development and Performance · Gamma-ray bursts and supernovae · Gaussian Processes and Bayesian Inference
