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Modelling high-resolution ALMA observations of strongly lensed dusty star-forming galaxies detected by Herschel

Maresca, Jacob and Dye, Simon and Amvrosiadis, Aristeidis and Bendo, George and Cooray, Asantha and De Zotti, Gianfranco and Dunne, Loretta and Eales, Stephen and Furlanetto, Cristina and González-Nuevo, Joaquin and Greener, Michael and Ivison, Robert and Lapi, Andrea and Negrello, Mattia and Riechers, Dominik and Serjeant, Stephen and Tergolina, Mônica and Wardlow, Julie (2022) 'Modelling high-resolution ALMA observations of strongly lensed dusty star-forming galaxies detected by Herschel.', Monthly notices of the Royal Astronomical Society, 512 (2). pp. 2426-2438.


We present modelling of ∼0.1 arcsec resolution Atacama Large Millimetre/submillimetre Array imaging of seven strong gravitationally lensed galaxies detected by the Herschel Space Observatory. Four of these systems are galaxy–galaxy strong lenses, with the remaining three being group-scale lenses. Through careful modelling of visibilities, we infer the mass profiles of the lensing galaxies and by determining the magnification factors, we investigate the intrinsic properties and morphologies of the lensed submillimetre sources. We find that these submillimetre sources all have ratios of star formation rate to dust mass that are consistent with, or in excess of, the mean ratio for high-redshift submillimetre galaxies and low redshift ultra-luminous infrared galaxies. Reconstructions of the background sources reveal that the majority of our sample display disturbed morphologies. The majority of our lens models have mass density slopes close to isothermal, but some systems show significant differences.

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Publisher statement:This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society ©: 2022 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.
Date accepted:28 February 2022
Date deposited:27 May 2022
Date of first online publication:04 March 2022
Date first made open access:27 May 2022

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