Photometric redshift of X-ray sources in the Chandra Deep Field-South

Based on the photometry of 10 near-ultraviolet, optical, and near-infrared bands of the Chandra Deep Field-South, we estimate the photometric redshifts for 342 X-ray sources, which constitute ∼99% of all the detected X-ray sources in the field. The models of spectral energy distribution are based on...

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Main Authors: Zheng, W, Mikles, V, Mainieri, V, Hasinger, G, Rosati, P, Wolf, C, Norman, C, Szokoly, G, Gilli, R, Tozzi, P, Wang, J, Zirm, A, Giacconi, R
Format: Journal article
Language:English
Published: 2004
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author Zheng, W
Mikles, V
Mainieri, V
Hasinger, G
Rosati, P
Wolf, C
Norman, C
Szokoly, G
Gilli, R
Tozzi, P
Wang, J
Zirm, A
Giacconi, R
author_facet Zheng, W
Mikles, V
Mainieri, V
Hasinger, G
Rosati, P
Wolf, C
Norman, C
Szokoly, G
Gilli, R
Tozzi, P
Wang, J
Zirm, A
Giacconi, R
author_sort Zheng, W
collection OXFORD
description Based on the photometry of 10 near-ultraviolet, optical, and near-infrared bands of the Chandra Deep Field-South, we estimate the photometric redshifts for 342 X-ray sources, which constitute ∼99% of all the detected X-ray sources in the field. The models of spectral energy distribution are based on galaxies and a combination of power-law continuum and emission lines. Color information is useful for source classifications: type I active galactic nuclei (AGNs) show nonthermal spectral features that are distinct from galaxies and type II AGNs. The hardness ratio in X-ray and the X-ray-to-optical flux ratio are also useful discriminators. Using rudimentary color separation techniques, we are able to further refine our photometric redshift estimations. Among these sources, 173 have reliable spectroscopic redshifts, which we use to verify the accuracy of photometric redshifts and to modify the model inputs. The average relative dispersion in redshift distribution is ∼8%, among the most accurate for photometric surveys. The high reliability of our results is attributable to the high quality and broad coverage of data as well as the applications of several independent methods and a careful evaluation of every source. We apply our redshift estimations to study the effect of redshift on broadband colors and to study the redshift distribution of AGNs. Our results show that both the hardness ratio and U - K color decline with redshift, which may be the result of a K-correction. The number of type II AGNs declines significantly at z > 2 and that of galaxies declines at z > 1. However, the distribution of type I AGNs exhibits less redshift dependence. As well, we observe a significant peak in the redshift distribution at z = 0.6. We demonstrate that our photometric redshift estimation produces a reliable database for the study of X-ray luminosity of galaxies and AGNs.
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spelling oxford-uuid:2b34fe57-abd6-4dcc-9259-016448705ae12022-03-26T12:29:35ZPhotometric redshift of X-ray sources in the Chandra Deep Field-SouthJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:2b34fe57-abd6-4dcc-9259-016448705ae1EnglishSymplectic Elements at Oxford2004Zheng, WMikles, VMainieri, VHasinger, GRosati, PWolf, CNorman, CSzokoly, GGilli, RTozzi, PWang, JZirm, AGiacconi, RBased on the photometry of 10 near-ultraviolet, optical, and near-infrared bands of the Chandra Deep Field-South, we estimate the photometric redshifts for 342 X-ray sources, which constitute ∼99% of all the detected X-ray sources in the field. The models of spectral energy distribution are based on galaxies and a combination of power-law continuum and emission lines. Color information is useful for source classifications: type I active galactic nuclei (AGNs) show nonthermal spectral features that are distinct from galaxies and type II AGNs. The hardness ratio in X-ray and the X-ray-to-optical flux ratio are also useful discriminators. Using rudimentary color separation techniques, we are able to further refine our photometric redshift estimations. Among these sources, 173 have reliable spectroscopic redshifts, which we use to verify the accuracy of photometric redshifts and to modify the model inputs. The average relative dispersion in redshift distribution is ∼8%, among the most accurate for photometric surveys. The high reliability of our results is attributable to the high quality and broad coverage of data as well as the applications of several independent methods and a careful evaluation of every source. We apply our redshift estimations to study the effect of redshift on broadband colors and to study the redshift distribution of AGNs. Our results show that both the hardness ratio and U - K color decline with redshift, which may be the result of a K-correction. The number of type II AGNs declines significantly at z > 2 and that of galaxies declines at z > 1. However, the distribution of type I AGNs exhibits less redshift dependence. As well, we observe a significant peak in the redshift distribution at z = 0.6. We demonstrate that our photometric redshift estimation produces a reliable database for the study of X-ray luminosity of galaxies and AGNs.
spellingShingle Zheng, W
Mikles, V
Mainieri, V
Hasinger, G
Rosati, P
Wolf, C
Norman, C
Szokoly, G
Gilli, R
Tozzi, P
Wang, J
Zirm, A
Giacconi, R
Photometric redshift of X-ray sources in the Chandra Deep Field-South
title Photometric redshift of X-ray sources in the Chandra Deep Field-South
title_full Photometric redshift of X-ray sources in the Chandra Deep Field-South
title_fullStr Photometric redshift of X-ray sources in the Chandra Deep Field-South
title_full_unstemmed Photometric redshift of X-ray sources in the Chandra Deep Field-South
title_short Photometric redshift of X-ray sources in the Chandra Deep Field-South
title_sort photometric redshift of x ray sources in the chandra deep field south
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