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20142023
most citedAn ALMA survey of the SCUBA-2 CLS UDS field: Physical properties of 707 Sub-millimetre Galaxies

278 citations · 1.4k across the 28 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

astro-ph.GA2019★ 28 cited

Multi-wavelength properties of radio and machine-learning identified counterparts to submillimeter sources in S2COSMOS

FangXia An, J. M. Simpson, Ian Smail +36

We identify multi-wavelength counterparts to 1,147 submillimeter sources from the S2COSMOS SCUBA-2 survey of the COSMOS field by employing a recently developed radiomachine-lear…

astro-ph.GA2019★ 278 cited

An ALMA survey of the SCUBA-2 CLS UDS field: Physical properties of 707 Sub-millimetre Galaxies

U. Dudzevičiūtė, Ian Smail, A. M. Swinbank +27

We analyse the physical properties of a large, homogeneously selected sample of ALMA-located sub-mm galaxies (SMGs). This survey, AS2UDS, identified 707 SMGs across the ~1 sq.deg.…

astro-ph.GA2019★ 67 cited

Revealing the Stellar Mass and Dust Distributions of Submillimeter Galaxies at Redshift 2

P. Lang, E. Schinnerer, Ian Smail +35

We combine high-resolution ALMA and HST/CANDELS observations of 20 submillimeter galaxies (SMGs) predominantly from the AS2UDS survey at z~2 with bright rest-frame optical counterp…

astro-ph.GA2019★ 29 cited

Radio spectra and sizes of ALMA-identified submillimetre galaxies: evidence of age-related spectral curvature and cosmic ray diffusion?

A. P. Thomson, Ian Smail, A. M. Swinbank +21

We analyse the multi-frequency radio spectral properties of 6GHz-detected ALMA-identified, submillimetre galaxies (SMGs), observed at 610MHz, 1.4GHz, 6GHz with GMRT and the VL…

astro-ph.GA2019★ 129 cited

An ALMA survey of the SCUBA-2 Cosmology Legacy Survey UKIDSS/UDS field: Source catalogue and properties

S. M. Stach, U. Dudzevičiūtė, I. Smail +26

We present the catalogue and properties of sources in AS2UDS, an 870-m continuum survey with the Atacama Large Millimetre/sub-millimetre Array (ALMA) of 716 single-dish sub-mill…

astro-ph.GA2019★ 7 cited

A machine learning approach for identifying the counterparts of submillimetre galaxies and applications to the GOODS-North field

Ruihan Henry Liu, Ryley Hill, Douglas Scott +7

Identifying the counterparts of submillimetre (submm) galaxies (SMGs) in multiwavelength images is a critical step towards building accurate models of the evolution of strongly sta…