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Lookup NU author(s): Dr Christopher Hales
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© 2020 The Author(s).The SuperCLuster Assisted Shear Survey (SuperCLASS) is a legacy programme using the e-MERLIN interferometric array. The aim is to observe the sky at L-band (1.4 GHz) to a r.m.s. of 7 μJy beam−1 over an area of ∼ 1 deg2 centred on the Abell 981 supercluster. The main scientific objectives of the project are: (i) to detect the effects of weak lensing in the radio in preparation for similar measurements with the Square Kilometre Array (SKA); (ii) an extinction free census of star formation and AGN activity out to z ∼ 1. In this paper we give an overview of the project including the science goals and multiwavelength coverage before presenting the first data release. We have analysed around 400 h of e-MERLIN data allowing us to create a Data Release 1 (DR1) mosaic of ∼ 0.26 deg2 to the full depth. These observations have been supplemented with complementary radio observations from the Karl G. Jansky Very Large Array (VLA) and optical/near infrared observations taken with the Subaru, Canada-France-Hawaii, and Spitzer Telescopes. The main data product is a catalogue of 887 sources detected by the VLA, of which 395 are detected by e-MERLIN and 197 of these are resolved. We have investigated the size, flux, and spectral index properties of these sources finding them compatible with previous studies. Preliminary photometric redshifts, and an assessment of galaxy shapes measured in the radio data, combined with a radio-optical cross-correlation technique probing cosmic shear in a supercluster environment, are presented in companion papers.
Author(s): Battye RA, Brown ML, Casey CM, Harrison I, Jackson NJ, Smail I, Watson RA, Hales CA, Manning SM, Hung C-L, Riseley CJ, Abdalla FB, Birkinshaw M, Demetroullas C, Chapman S, Beswick RJ, Muxlow TWB, Bonaldi A, Camera S, Hillier T, Kay ST, Peters A, Sanders DB, Thomas DB, Thomson AP, Tunbridge B, Whittaker L
Publication type: Article
Publication status: Published
Journal: Monthly Notices of the Royal Astronomical Society
Year: 2020
Volume: 495
Issue: 2
Pages: 1706-1723
Print publication date: 01/06/2020
Online publication date: 02/04/2020
Acceptance date: 25/02/2020
ISSN (print): 0035-8711
ISSN (electronic): 1365-2966
Publisher: Oxford University Press
URL: https://doi.org/10.1093/mnras/staa709
DOI: 10.1093/mnras/staa709
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