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Discovery of a Candidate Binary Supermassive Black Hole in a Periodic Quasar from Circumbinary Accretion Variability, , , , , , , , , and 61 other author(s). (2020)cite arxiv:2008.12317Comment: resubmitted to MNRAS after addressing referee reports; comments are welcome.The DESI Survey Validation: Results from Visual Inspection of the Quasar Survey Spectra, , , , , , , , , and 62 other author(s). (2022)cite arxiv:2208.08517Comment: AJ, submitted, 26 pages, 15 figures, 9 tables, one of a suite of 8 papers detailing targeting for DESI.VDES J2325-5229 a z=2.7 gravitationally lensed quasar discovered using morphology independent supervised machine learning, , , , , , , , , and 49 other author(s). (2016)cite arxiv:1607.01391Comment: 11 pages, 7 figures, 7 tables, MNRAS submitted.Constraints on Decaying Dark Matter with DES-Y1 and external data, , , , , , , , , and 75 other author(s). (2020)cite arxiv:2011.04606Comment: 23 pages, 11 figures. DES extensions group.Observational evidence for cosmological coupling of black holes and its implications for an astrophysical source of dark energy, , , , , , , , , and 9 other author(s). (2023)cite arxiv:2302.07878Comment: 10 pages, 3 figures, published in ApJ Letters.Dark Energy Survey Year 1 Results: Constraining Baryonic Physics in the Universe, , , , , , , , , and 67 other author(s). (2020)cite arxiv:2007.15026Comment: 24 pages, 18 figures, 2 tables. submitted to MNRAS. A brief video summary of this paper is available at https://www.youtube.com/watch?v=QbeNwk5papU.The effect of quasar redshift errors on Lyman-$\alpha$ forest correlation functions, , , , , , , , , and 23 other author(s). (2022)cite arxiv:2205.06648Comment: 13 pages, 8 figures, submitted to MNRAS.Target Selection and Validation of DESI Quasars, , , , , , , , , and 47 other author(s). (2022)cite arxiv:2208.08511Comment: 21 pages, 21 figures, submitted to AJ, one of a suite of 8 papers detailing targeting for DESI.Optimal 1D Ly$\alpha$ Forest Power Spectrum Estimation -- II. KODIAQ, SQUAD & XQ-100, , , , , , , , , and 2 other author(s). (2021)cite arxiv:2108.10870.Crowdsourcing quality control for Dark Energy Survey images., , , , , , , , , and 40 other author(s). Astron. Comput., (2016)