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Quasar Photometric Redshifts and Candidate Selection: A New Algorithm Based on Optical and Mid-infrared Photometric Data
Q. Yang, X. Wu, X. Fan, J. L. and McGreer, I., R. Green, J. Yang, S. J.-T. and Wang, F., W. Zuo, Y. Fu
Type
Journal
Publication
aj
Date
December, 2017
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DOI
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The Extremely Luminous Quasar Survey (ELQS) in the SDSS footprint I.: Infrared Based Candidate Selection
Deep CFHT Y - band imaging of VVDS-F22 field: II. Quasar selection and quasar luminosity function at 0.5 < z < 4.5
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