1. Use of neural networks for the identification of new z>=3.6 QSOs from FIRST-SDSS DR5
- Author
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Carballo, R., Gonzalez-Serrano, J. I., Benn, C. R., and Jimenez-Lujan, F.
- Subjects
Astrophysics (astro-ph) ,FOS: Physical sciences - Abstract
We aim to obtain a complete sample of redshift > 3.6 radio QSOs from FIRST sources having star-like counterparts in the SDSS DR5 photometric survey (r=3.6 QSO candidates. We obtained spectra of 27 of them, and 17 are confirmed as high-z QSOs. Spectra of 13 additional candidates from the literature and from SDSS DR6 revealed 7 more z>=3.6 QSOs, giving and overall efficiency of 60 per cent. None of the non-candidates with spectra from NED or DR6 is a z>=3.6 QSO, consistently with a high completeness. The initial sample of z>=3.6 QSOs is increased from 52 to 76, i.e. by a factor 1.46. From the new identifications and candidates we estimate an incompleteness of SDSS for the spectroscopic classification of FIRST 3.6, 16 pages, 9 figures accepted for publication in MNRAS
- Published
- 2008
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