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The Extremely Luminous Quasar Survey (ELQS) in the SDSS footprint I.: Infrared Based Candidate Selection

, , , , , , and . (2017)cite arxiv:1712.01205Comment: 16 pages, 8 figures, 9 tables; ApJ in press.

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Gas dynamics of a luminous $z$ = 6.13 quasar ULAS J1319$+$0950 revealed by ALMA high resolution observations, , , , , , , , , and 5 other author(s). (2017)cite arxiv:1707.03078Comment: 23 pages, 5 figures, submitted to ApJ.Far-infrared and Molecular CO Emission From the Host Galaxies of Faint Quasars at z~6, , , , , , , , , and 3 other author(s). (2011)cite arxiv:1107.5065Comment: 23 pages, 4 figures, to be published in AJ.An ultra-luminous quasar with a twelve-billion-solar-mass black hole at redshift 6.30, , , , , , , , , and 3 other author(s). (2015)cite arxiv:1502.07418Comment: 24 pages, 4 figures plus 4 extended data figures, published in Nature on 26 February 2015.The LBT Bootes Field Survey: I. The Rest-frame UV and Luminosity Functions and Clustering of Bright Lyman Break Galaxies at z~3, , , , , , , , , and . (2013)cite arxiv:1307.4835Comment: 23 pages and 17 figures, Accepted by ApJ.Limits to Rest-Frame Ultraviolet Emission From Far-Infrared-Luminous z~6 Quasar Hosts, , , , , , , , , and 13 other author(s). (2020)cite arxiv:2007.13859Comment: 22 pages, 13 figures. Accepted for publication in ApJ.The Composite Spectrum of BOSS Quasars Selected for Studies of the Lyman-alpha Forest, , , , , , , , , and 5 other author(s). (2016)cite arxiv:1603.08626Comment: 24 pages, 19 figures, accepted by AJ.Codelet Scheduling by Genetic Algorithm., , , , , , and . Trustcom/BigDataSE/ISPA, page 1492-1499. IEEE, (2016)The Final SDSS High-Redshift Quasar Sample of 52 Quasars at z>5.7, , , , , , , , , and 7 other author(s). (2016)cite arxiv:1610.05369Comment: 20 pages, 12 figures, Accepted for publication in The Astrophysical Journal.Probing the interstellar medium and star formation of the Most Luminous Quasar at z=6.3, , , , , , , , , and 6 other author(s). (2016)cite arxiv:1606.09634Comment: 18 pages, 4 figures, Accepted by the Astrophysical Journal.A Survey of Research on Image Style Transfer Based on Deep Learning., , , , and . AIAM (IEEE), page 386-391. IEEE, (2021)