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Dark Energy Survey Year 1 results: Weak lensing shape catalogues

Dark Energy Survey Year 1 results: Weak lensing shape catalogues
Dark Energy Survey Year 1 results: Weak lensing shape catalogues

We present two galaxy shape catalogues from the Dark Energy Survey Year 1 data set, covering 1500 deg 2 with a median redshift of 0.59. The catalogues cover two main fields: Stripe 82, and an area overlapping the South Pole Telescope survey region. We describe our data analysis process and in particular our shape measurement using two independent shear measurement pipelines, METACALIBRATION and IM3SHAPE. The METACALIBRATION catalogue uses a Gaussian model with an innovative internal calibration scheme, and was applied to riz bands, yielding 34.8M objects. The IM3SHAPE catalogue uses amaximum-likelihood bulge/disc model calibrated using simulations, and was applied to r-band data, yielding 21.9M objects. Both catalogues pass a suite of null tests that demonstrate their fitness for use in weak lensing science. We estimate the 1σ uncertainties in multiplicative shear calibration to be 0.013 and 0.025 for the METACALIBRATION and IM3SHAPE catalogues, respectively.

Catalogues, Cosmology: observations, Gravitational lensing: weak, Methods: data analysis, Surveys, Techniques: image processing
1365-2966
1149-1182
Zunt, J.
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Sheldon, E.
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Samuroff, S.
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Troxel, M. A.
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Jarvis, M.
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MacCrann, N.
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Gruen, D.
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Prat, J.
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Choi, A.
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Bridle, S. L.
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Bernstein, G. M.
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Dodelson, S.
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Drlica-Wagner, A.
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Fang, Y.
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Gruendl, R. A.
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Hoyle, B.
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Huff, E. M.
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Jain, B.
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Kirk, D.
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Kacprzak, T.
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Krawiec, C.
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Plazas, A. A.
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Rollins, R. P.
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Rykoff, E. S.
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Sevilla-Noarbe, I.
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Soergel, B.
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Varga, T. N.
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Abbott, T. M.C.
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Abdalla, F. B.
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Allam, S.
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Annis, J.
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Bechtol, K.
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Benoit-Lévy, A.
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Bertin, E.
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Buckley-Geer, E.
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Burke, D. L.
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Carnero Rosell, A.
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Carrasco Kind, M.
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Carretero, J.
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Castander, F. J.
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Crocce, M.
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Cunha, C. E.
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D'Andrea, C. B.
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da Costa, L. N.
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Davis, C.
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Desai, S.
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Diehl, H. T.
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Dietrich, J. P.
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Smith, M.
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DES Collaboration
Zunt, J.
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Sheldon, E.
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Samuroff, S.
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Troxel, M. A.
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Jarvis, M.
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MacCrann, N.
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Gruen, D.
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Prat, J.
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Sánchez, C.
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Choi, A.
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Bridle, S. L.
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Bernstein, G. M.
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Dodelson, S.
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Drlica-Wagner, A.
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Fang, Y.
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Gruendl, R. A.
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Hoyle, B.
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Huff, E. M.
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Jain, B.
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Kirk, D.
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Kacprzak, T.
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Krawiec, C.
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Plazas, A. A.
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Rollins, R. P.
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Rykoff, E. S.
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Soergel, B.
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Varga, T. N.
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Abbott, T. M.C.
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Abdalla, F. B.
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Allam, S.
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Annis, J.
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Bechtol, K.
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Benoit-Lévy, A.
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Bertin, E.
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Buckley-Geer, E.
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Burke, D. L.
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Carnero Rosell, A.
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Carrasco Kind, M.
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Carretero, J.
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Castander, F. J.
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Crocce, M.
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Cunha, C. E.
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D'Andrea, C. B.
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da Costa, L. N.
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Davis, C.
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Desai, S.
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Diehl, H. T.
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Dietrich, J. P.
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Smith, M.
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Smith, M. , DES Collaboration (2018) Dark Energy Survey Year 1 results: Weak lensing shape catalogues. Monthly Notices of the Royal Astronomical Society, 481 (1), 1149-1182. (doi:10.1093/MNRAS/STY2219).

Record type: Article

Abstract

We present two galaxy shape catalogues from the Dark Energy Survey Year 1 data set, covering 1500 deg 2 with a median redshift of 0.59. The catalogues cover two main fields: Stripe 82, and an area overlapping the South Pole Telescope survey region. We describe our data analysis process and in particular our shape measurement using two independent shear measurement pipelines, METACALIBRATION and IM3SHAPE. The METACALIBRATION catalogue uses a Gaussian model with an innovative internal calibration scheme, and was applied to riz bands, yielding 34.8M objects. The IM3SHAPE catalogue uses amaximum-likelihood bulge/disc model calibrated using simulations, and was applied to r-band data, yielding 21.9M objects. Both catalogues pass a suite of null tests that demonstrate their fitness for use in weak lensing science. We estimate the 1σ uncertainties in multiplicative shear calibration to be 0.013 and 0.025 for the METACALIBRATION and IM3SHAPE catalogues, respectively.

This record has no associated files available for download.

More information

Accepted/In Press date: 7 August 2018
e-pub ahead of print date: 18 August 2018
Published date: 1 November 2018
Keywords: Catalogues, Cosmology: observations, Gravitational lensing: weak, Methods: data analysis, Surveys, Techniques: image processing

Identifiers

Local EPrints ID: 431879
URI: http://eprints.soton.ac.uk/id/eprint/431879
ISSN: 1365-2966
PURE UUID: ba4e3307-e181-4ca8-8201-487538036018
ORCID for M. Smith: ORCID iD orcid.org/0000-0002-3321-1432

Catalogue record

Date deposited: 20 Jun 2019 16:30
Last modified: 18 Mar 2024 03:29

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Contributors

Author: J. Zunt
Author: E. Sheldon
Author: S. Samuroff
Author: M. A. Troxel
Author: M. Jarvis
Author: N. MacCrann
Author: D. Gruen
Author: J. Prat
Author: C. Sánchez
Author: A. Choi
Author: S. L. Bridle
Author: G. M. Bernstein
Author: S. Dodelson
Author: A. Drlica-Wagner
Author: Y. Fang
Author: R. A. Gruendl
Author: B. Hoyle
Author: E. M. Huff
Author: B. Jain
Author: D. Kirk
Author: T. Kacprzak
Author: C. Krawiec
Author: A. A. Plazas
Author: R. P. Rollins
Author: E. S. Rykoff
Author: I. Sevilla-Noarbe
Author: B. Soergel
Author: T. N. Varga
Author: T. M.C. Abbott
Author: F. B. Abdalla
Author: S. Allam
Author: J. Annis
Author: K. Bechtol
Author: A. Benoit-Lévy
Author: E. Bertin
Author: E. Buckley-Geer
Author: D. L. Burke
Author: A. Carnero Rosell
Author: M. Carrasco Kind
Author: J. Carretero
Author: F. J. Castander
Author: M. Crocce
Author: C. E. Cunha
Author: C. B. D'Andrea
Author: L. N. da Costa
Author: C. Davis
Author: S. Desai
Author: H. T. Diehl
Author: J. P. Dietrich
Author: M. Smith ORCID iD
Corporate Author: DES Collaboration

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