SIMBAD references

2013MNRAS.428..226P - Mon. Not. R. Astron. Soc., 428, 226-235 (2013/January-1)

Finding new high-redshift quasars by asking the neighbours.

POLSTERER K.L., ZINN P.-C. and GIESEKE F.

Abstract (from CDS):

Quasars with a high redshift (z) are important to understand the evolution processes of galaxies in the early Universe. However, only a few of these distant objects are known to this date. The costs of building and operating a 10-m class telescope limit the number of facilities and, thus, the available observation time. Therefore, an efficient selection of candidates is mandatory. This paper presents a new approach to select quasar candidates with high redshift (z > 4.8) based on photometric catalogues. We have chosen to use the z > 4.8 limit for our approach because the dominant Lyman α emission line of a quasar can only be found in the Sloan i- and z-band filters. As part of the candidate selection approach, a photometric redshift estimator is presented, too. Three of the 120 000 generated candidates have been spectroscopically analysed in follow-up observations and a new z = 5.0 quasar was found. This result is consistent with the estimated detection ratio of about 50percent and we expect 60 000 high-redshift quasars to be part of our candidate sample. The created candidates are available for download at MNRAS or at http://www.astro.rub.de/polsterer/quasar-candidates.csv.

Abstract Copyright: © 2012 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society (2012)

Journal keyword(s): methods: statistical - techniques: photometric - catalogues - surveys - galaxies: distances and redshifts - quasars: general

VizieR on-line data: <Available at CDS (J/MNRAS/428/226): qsocand.dat>

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

Simbad objects: 23

goto Full paper

goto View the references in ADS

To bookmark this query, right click on this link: simbad:2013MNRAS.428..226P and select 'bookmark this link' or equivalent in the popup menu


2023.01.30-02:40:35

© Université de Strasbourg/CNRS

    • Contact