Computer Science
Scientific paper
Sep 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009ycat..73992231s&link_type=abstract
VizieR On-line Data Catalog: J/MNRAS/399/2231. Originally published in: 2009MNRAS.399.2231S
Computer Science
Surveys, Qsos, Redshifts
Scientific paper
We apply a recently developed method for classifying broad absorption line quasars (BALQSOs) to the latest QSO catalogue constructed from Data Release 5 of the Sloan Digital Sky Survey. Our new hybrid classification method combines the power of simple metrics, supervised neural networks and visual inspection. The resulting BALQSO catalogue is both more complete and more robust than all previous BALQSO catalogues, containing 3552 sources selected from a parent sample of 28421 QSOs in the redshift range 1.7
Cottis Chris
Goad Mike
Knigge Christian
Scaringi Simone
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