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      An ALMA survey of the S2CLS UDS field: optically invisible submillimetre galaxies

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          ABSTRACT

          We analyse a robust sample of 30 near-infrared-faint (KAB > 25.3, 5σ) submillimetre galaxies (SMGs) selected from a 0.96 deg2 field to investigate their properties and the cause of their faintness in optical/near-infrared wavebands. Our analysis exploits precise identifications based on Atacama Large Millimeter Array (ALMA) 870-μm continuum imaging, combined with very deep near-infrared imaging from the UKIDSS Ultra Deep Survey. We estimate that SMGs with KAB > 25.3 mag represent 15 ± 2 per cent of the total population brighter than S870 = 3.6 mJy, with a potential surface density of ∼450 deg−2 above S870 ≥ 1 mJy. As such, they pose a source of contamination in surveys for both high-redshift ‘quiescent’ galaxies and very high redshift Lyman-break galaxies. We show that these K-faint SMGs represent the tail of the broader submillimetre population, with comparable dust and stellar masses to KAB ≤ 25.3 mag SMGs, but lying at significantly higher redshifts (z = 3.44 ± 0.06 versus z = 2.36 ± 0.11) and having higher dust attenuation (AV = 5.2 ± 0.3 versus AV = 2.9 ± 0.1). We investigate the origin of the strong dust attenuation and find indications that these K-faint galaxies have smaller dust continuum sizes than the KAB ≤ 25.3 mag galaxies, as measured by ALMA, which suggests their high attenuation is related to their compact sizes. We identify a correlation of dust attenuation with star formation rate surface density (ΣSFR), with the K-faint SMGs representing the higher ΣSFR and highest AV galaxies. The concentrated, intense star formation activity in these systems is likely to be associated with the formation of spheroids in compact galaxies at high redshifts, but as a result of their high obscuration these galaxies are completely missed in ultraviolet, optical, and even near-infrared surveys.

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          3D-HST+CANDELS: THE EVOLUTION OF THE GALAXY SIZE-MASS DISTRIBUTION SINCEz= 3

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            Detecting novel associations in large data sets.

            Identifying interesting relationships between pairs of variables in large data sets is increasingly important. Here, we present a measure of dependence for two-variable relationships: the maximal information coefficient (MIC). MIC captures a wide range of associations both functional and not, and for functional relationships provides a score that roughly equals the coefficient of determination (R(2)) of the data relative to the regression function. MIC belongs to a larger class of maximal information-based nonparametric exploration (MINE) statistics for identifying and classifying relationships. We apply MIC and MINE to data sets in global health, gene expression, major-league baseball, and the human gut microbiota and identify known and novel relationships.
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              The SCUBA HAlf Degree Extragalactic Survey - III. Identification of radio and mid-infrared counterparts to submillimetre galaxies

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                Author and article information

                Contributors
                Journal
                Monthly Notices of the Royal Astronomical Society
                Oxford University Press (OUP)
                0035-8711
                1365-2966
                April 2021
                February 17 2021
                April 2021
                February 17 2021
                February 03 2021
                : 502
                : 3
                : 3426-3435
                Affiliations
                [1 ]Centre for Extragalactic Astronomy, Department of Physics, Durham University, South Road, Durham DH1 3LE, UK
                [2 ]School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK
                [3 ]Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS B3H 3J5, Canada
                [4 ]Academia Sinica Institute of Astronomy and Astrophysics, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan
                [5 ]Centre for Astrophysics Research, Department of Physics, Astronomy & Mathematics, University of Hertfordshire, Hatfield AL10 9AB, UK
                [6 ]Onsala Space Observatory, Chalmers University of Technology, SE-439 92 Onsala/85748 Garching bei München, Sweden
                [7 ]Leiden Observatory, Leiden University, PO Box 9513, NL-2300 RA Leiden, the Netherlands
                [8 ]European Southern Observatory, Karl Schwarzschild Strasse 2, 85748 Garching bei München, Germany
                [9 ]Department of Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada
                [10 ]Gemini Observatory Northern Operations Center, NSF’s National Optical–Infrared Astronomy Research Laboratory, 650 North A’ohōkū Place, Hilo, HI 96720, USA
                [11 ]Department of Physics and Astronomy, The University of Manchester, Oxford Road, Manchester M13 9PL, UK
                [12 ]Max-Planck-Institut für Astronomy, Königstuhl 17, D-69117 Heidelberg, Germany
                [13 ]Department of Physics, Lancaster University, Lancaster LA1 4YB, UK
                Article
                10.1093/mnras/stab283
                e66c597e-8f8f-4143-a5de-d9de1e02ed22
                © 2021

                http://creativecommons.org/licenses/by/4.0/

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