Neural-network selection of high-redshift radio quasars, and the luminosity function at z ∼ 4

We obtain a sample of 87 radio-loud quasi-stellar objects (QSOs) in the redshift range 3.6 ≤ z ≤ 4.4 by cross-correlating sources in the Faint Images of the Radio Sky at Twenty-Centimeters (FIRST) radio survey (S 1.4 GHz > 1 mJy) with star-like objects having r 

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Bibliographic Details
Published in:Monthly notices of the Royal Astronomical Society 2015-05, Vol.449 (3), p.2818-2836
Main Authors: Tuccillo, D., González-Serrano, J. I., Benn, C. R.
Format: Article
Language:English
Subjects:
Astronomy
Evolution
Luminosity
Neural networks
Quasars
Radio
Red shift
Sky surveys (astronomy)
Slopes
Star & galaxy formation
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Description
Summary:We obtain a sample of 87 radio-loud quasi-stellar objects (QSOs) in the redshift range 3.6 ≤ z ≤ 4.4 by cross-correlating sources in the Faint Images of the Radio Sky at Twenty-Centimeters (FIRST) radio survey (S 1.4 GHz > 1 mJy) with star-like objects having r 
ISSN:0035-8711
1365-2966
DOI:10.1093/mnras/stv472