Aims: A well characterised detection pipeline is an important ingredient for X-ray cluster surveys.
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.
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.
Astronomy and Astrophysics
- Pub Date:
- November 2018
- Astrophysics - Instrumentation and Methods for Astrophysics;
- galaxies: clusters: general;
- X-rays: galaxies: clusters;
- large-scale structure of Universe;
- methods: numerical;
- Astrophysics - Instrumentation and Methods for Astrophysics
- 20 pages, 14 figures