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The DES Science Verification weak lensing shear catalogues

Jarvis, M; Sheldon, E; Zuntz, J; Kacprzak, T; Bridle, SL; Amara, A; Armstrong, R; ... Wechsler, RH; + view all (2016) The DES Science Verification weak lensing shear catalogues. Monthly Notices of the Royal Astronomical Society , 460 (2) pp. 2245-2281. 10.1093/mnras/stw990. Green open access

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Abstract

We present weak lensing shear catalogues for 139 square degrees of data taken during the Science Verification (SV) time for the new Dark Energy Camera (DECam) being used for the Dark Energy Survey (DES). We describe our object selection, point spread function estimation and shear measurement procedures using two independent shear pipelines, IM3SHAPE and NGMIX, which produce catalogues of 2.12 million and 3.44 million galaxies, respectively. We detail a set of null tests for the shear measurements and find that they pass the requirements for systematic errors at the level necessary for weak lensing science applications using the SV data. We also discuss some of the planned algorithmic improvements that will be necessary to produce sufficiently accurate shear catalogues for the full 5-yr DES, which is expected to cover 5000 square degrees.

Type: Article
Title: The DES Science Verification weak lensing shear catalogues
Open access status: An open access version is available from UCL Discovery
DOI: 10.1093/mnras/stw990
Publisher version: http://doi.org/10.1093/mnras/stw990
Language: English
Additional information: This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society ©: 2016 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.
Keywords: Science & Technology, Physical Sciences, Astronomy & Astrophysics, gravitational lensing: weak, methods: data analysis, techniques: image processing, catalogues, surveys, cosmology: observations, IMAGE-ANALYSIS COMPETITION, GALAXY SHAPE MEASUREMENT, DARK ENERGY CAMERA, DIGITAL SKY SURVEY, COSMIC SHEAR, NOISE BIAS, CHALLENGE HANDBOOK, MAXIMUM-LIKELIHOOD, GREAT08 CHALLENGE, SYSTEMATIC-ERRORS
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy
URI: https://discovery.ucl.ac.uk/id/eprint/1488200
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