Faccioli, L.L.FaccioliPacaud, F.F.PacaudSauvageot, J. -L.J. -L.SauvageotPierre, M.M.PierreCHIAPPETTI, LUCIOLUCIOCHIAPPETTIClerc, N.N.ClercGastaud, R.R.GastaudKoulouridis, E.E.KoulouridisLe Brun, A. M. C.A. M. C.Le BrunValotti, A.A.Valotti2020-10-052020-10-0520180004-6361http://hdl.handle.net/20.500.12386/27585Aims: A well characterised detection pipeline is an important ingredient for X-ray cluster surveys. <BR /> Methods: We present the final development of the XXL Survey pipeline. The pipeline optimally uses X-ray information by combining many overlapping observations of a source when possible, both for its detection and its characterisation. It can robustly detect and characterise several types of X-ray sources: AGNs (point-like), galaxy clusters (extended), galaxy clusters contaminated by a central AGN, and pairs of AGNs close on the sky. We perform a thorough suite of validation tests via realistic simulations of XMM-Newton images and we introduce new selection criteria for various types of sources that will be detected by the survey. <BR /> Results: We find that the use of overlapping observations allows new clusters to be securely identified that would be missed or less securely identified by using only one observation at a time. We also find that, with the new pipeline we can robustly identify clusters with a central AGN that would otherwise have been missed, and we can flag pairs of AGNs close on the sky that might have been mistaken for a cluster.STAMPAenArticle10.1051/0004-6361/2018329312-s2.0-85057319367000450930100009https://www.aanda.org/articles/aa/full_html/2018/12/aa32931-18/aa32931-18.htmlhttps://arxiv.org/abs/1809.050362018A&A...620A...9FFIS/05 - ASTRONOMIA E ASTROFISICAERC sectors::Physical Sciences and Engineering::PE9 Universe sciences: astro-physics/chemistry/biology; solar systems; stellar, galactic and extragalactic astronomy, planetary systems, cosmology, space science, instrumentation