SIMBAD references

1998AJ....116.2081W - Astron. J., 116, 2081-2085 (1998/November-0)

A catalog of color-based redshift estimates for z ≲ 4 galaxies in the Hubble Deep Field.

WANG Y., BAHCALL N. and TURNER E.L.

Abstract (from CDS):

We derive simple empirical color-redshift relations for z ≲ 4 galaxies in the Hubble Deep Field (HDF) using a linear function of three photometric colors (U-B, B-V, V-I). The dispersion between the estimated redshifts and the spectroscopically observed ones is small for relations derived in several separate color regimes; the dispersions range from σz ≃ 0.03 to 0.1 for z ≲ 2 galaxies, and from σz ≃ 0.14 to 0.25 for z ≳ 2 galaxies. We apply the color-redshift relations to the HDF photometric catalog and obtain estimated redshifts that are consistent with those derived from spectral template fitting methods. The advantage of these color-redshift relations is that they are simple and easy to use and do not depend on the assumption of any particular spectral templates; they provide model independent redshift estimates for z ≲ 4 galaxies using only multiband photometry, and they apply to about 90% of all galaxies. We provide a color-based estimated redshift catalog of HDF galaxies to z ≲ 4. We use the estimated redshifts to investigate the redshift distribution of galaxies in the HDF; we find peaks in the redshift distribution that suggest large-scale clustering of galaxies to at least z ∼ 1 and that are consistent with those identified in spectroscopic probes of the HDF.

Abstract Copyright:

Journal keyword(s): Galaxies: Distances and Redshifts - Methods: Data Analysis

VizieR on-line data: <Available at CDS (J/AJ/116/2081): table2.dat>

Nomenclature: Table 2: Sawicki NNNNN N=848.

Status at CDS : All or part of tables of objects will not be ingested in SIMBAD.

Simbad objects: 1

goto Full paper

goto View the references in ADS

To bookmark this query, right click on this link: simbad:1998AJ....116.2081W and select 'bookmark this link' or equivalent in the popup menu


2022.08.12-07:58:25

© Université de Strasbourg/CNRS

    • Contact