Identifications and Photometric Redshifts of the 2 Ms Chandra Deep Field-South Sources
B. Luo, W.N. Brandt, Y.Q. Xue, M. Brusa, D.M. Alexander, F.E. Bauer,, A. Comastri, A. Koekemoer, B.D. Lehmer, V. Mainieri, D.A. Rafferty, D.P., Schneider, J.D. Silverman, and C. Vignali

TL;DR
This paper provides reliable multiwavelength identifications and high-quality photometric redshifts for 462 X-ray sources in the 2 Ms Chandra Deep Field-South, significantly improving previous estimates and enabling detailed studies of faint X-ray sources.
Contribution
It introduces a robust source matching method and constructs a comprehensive multi-band catalog with highly accurate photometric redshifts for faint X-ray sources.
Findings
96.5% of X-ray sources identified with counterparts
Photometric redshifts with ~1% accuracy for spectroscopic subsample
Outlier fraction increases for fainter sources
Abstract
[Abridged] We present reliable multiwavelength identifications and high-quality photometric redshifts for the 462 X-ray sources in the ~2 Ms Chandra Deep Field-South. Source identifications are carried out using deep optical-to-radio multiwavelength catalogs, and are then combined to create lists of primary and secondary counterparts for the X-ray sources. We identified reliable counterparts for 446 (96.5%) of the X-ray sources, with an expected false-match probability of ~6.2%. A likelihood-ratio method is used for source matching, which effectively reduces the false-match probability at faint magnitudes compared to a simple error-circle matching method. We construct a master photometric catalog for the identified X-ray sources including up to 42 bands of UV-to-infrared data, and then calculate their photometric redshifts (photo-z's). The reliability of the photo-z's is evaluated using…
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