Journal article
The Sloan Digital Sky Survey quasar lens search. I. Candidate selection algorithm
Masamune Oguri, Naohisa Inada, Bartosz Pindor, Michael A Strauss, Gordon T Richards, Joseph F Hennawi, Edwin L Turner, Robert H Lupton, Donald P Schneider, Masataka Fukugita, Jon Brinkmann
ASTRONOMICAL JOURNAL | UNIV CHICAGO PRESS | Published : 2006
DOI: 10.1086/506019
Abstract
We present an algorithm for selecting a uniform sample of gravitationally lensed quasar candidates from low-redshift (0.6 < z < 2.2) quasars brighter than i = 19.1 that have been spectroscopically identified in the Sloan Digital Sky Survey (SDSS). Our algorithm uses morphological and color selections that are intended to identify small-and large-separation lenses, respectively. Our selection algorithm only relies on parameters that the SDSS standard image processing pipeline generates, allowing easy and fast selection of lens candidates. The algorithm has been tested against simulated SDSS images, which adopt distributions of field and quasar parameters taken from the real SDSS data as input..
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