Chandra counterparts of CANDELS GOODS-S sources
N. Cappelluti, A. Comastri, A. Fontana, G. Zamorani, R. Amorin, M., Castellano, E. Merlin, P. Santini, D. Elbaz, C. Schreiber, X. Shu, T. Wang,, J. S. Dunlop, N. Bourne, V. A. Bruce, F. Buitrago, Micha{\l} J., Micha{\l}owski, S. Derriere, H. C. Ferguson, S. M. Faber, F. Vito

TL;DR
This study enhances detection of faint X-ray sources in deep field data by using a simultaneous likelihood fit with optical priors, increasing the known faint X-ray source population, including potential high-redshift AGN.
Contribution
Introduces a likelihood-based detection method utilizing optical priors, significantly increasing faint X-ray source detections in the Chandra Deep Field South.
Findings
Detected 698 X-ray sources with likelihood >4.98.
Increased total X-ray sources in the field to 793.
Identified potential high-redshift AGN candidates.
Abstract
Improving the capabilities of detecting faint X-ray sources is fundamental to increase the statistics on faint high-z AGN and star-forming galaxies. We performed a simultaneous Maximum Likelihood PSF fit in the [0.5-2] keV and [2-7] keV energy bands of the 4 Ms{\em Chandra} Deep Field South (CDFS) data at the position of the 34930 CANDELS H-band selected galaxies. For each detected source we provide X-ray photometry and optical counterpart validation. We validated this technique by means of a raytracing simulation. We detected a total of 698 X-ray point-sources with a likelihood 4.98 (i.e. 2.7). We show that the prior knowledge of a deep sample of Optical-NIR galaxies leads to a significant increase of the detection of faint (i.e. 10 cgs in the [0.5-2] keV band) sources with respect to "blind" X-ray detections. By including previous X-ray…
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