Skip to content

A catalogue of structural and morphological measurements for DES Y1

Research output: Contribution to journalArticle

  • Dark Energy Survey Collaboration
  • F. Tarsitano
  • William G. Hartley
  • Professor Adam Amara
  • Asa Bluck
  • C. Bruderer
  • Marcella Carollo
  • Christopher J. Conselice
  • Peter Melchior
  • B. Moraes
  • Alexandre Refregier
  • Ignacio Sevilla-Noarbe
  • J WOO
  • Timothy M. C. Abbott
  • Sahar S. Allam
  • James T. Annis
  • Santiago Javier Avila Perez
  • M. Banerji
  • Emmanuel Bertin
  • David Brooks
  • David L. Burke
  • Aurelio Carnero Rosell
  • Matias Carrasco Kind
  • Jorge Carretero
  • Carlos E. Cunha
  • Christopher Brian D'Andrea
  • L. N. da Costa
  • Clare Davis
  • Juan De Vincente
  • S. Desai
  • Peter Doel
  • Juan Estrada
  • Joshua A. Frieman
  • J. Garcia-Bellido
  • Daniel Gruen
  • Robert A. Gruendl
  • G. Gutierrez
  • Devon L. Hollowood
  • Klaus Honscheid
  • David J. James
  • Tesla E. Jeltema
  • Elisabeth Krause
  • Kyler Kuehn
  • Nikolay Kuropatkin
  • Ofer Lahav
  • Marcio Antonio Geimba Maia
  • Felipe Menanteau
  • Ramon Miquel
  • Andres A. Plazas
  • A. Kathy Romer
  • Aaron Roodman
  • Eusebio Sanchez
  • Basilio Xavier Santiago
  • Rafe H. Schindler
  • M. Smith
  • Robert Chris Smith
  • Marcelle Soares-Santos
  • Flavia Sobreira
  • Eric Suchyta
  • Molly E. C. Swanson
  • Gregory Tarle
  • Professor Daniel Thomas
  • V. Vikram
  • Alistair R. Walker
We present a structural and morphological catalogue for 45 million objects selected from the first year data of the Dark Energy Survey (DES). Single Sérsic fits and non-parametric measurements are produced for g, r, and i filters. The parameters from the best-fitting Sérsic model (total magnitude, half-light radius, Sérsic index, axis ratio, and position angle) are measured with GALFIT; the non-parametric coefficients (concentration, asymmetry, clumpiness, Gini, M20) are provided using the Zurich Estimator of Structural Types (ZEST+). To study the statistical uncertainties, we consider a sample of state-of-the-art image simulations with a realistic distribution in the input parameter space and then process and analyse them as we do with real data: this enables us to quantify the observational biases due to PSF blurring and magnitude effects and correct the measurements as a function of magnitude, galaxy size, Sérsic index (concentration for the analysis of the non-parametric measurements) and ellipticity. We present the largest structural catalogue to date: we find that accurate and complete measurements for all the structural parameters are typically obtained for galaxies with SEXTRACTORMAG_AUTO_I≤21⁠. Indeed, the parameters in the filters i and r can be overall well recovered up to MAG_AUTO≤21.5⁠, corresponding to a fitting completeness of ∼90 per cent below this threshold, for a total of 25 million galaxies. The combination of parametric and non-parametric structural measurements makes this catalogue an important instrument to explore and understand how galaxies form and evolve. The catalogue described in this paper will be publicly released alongside the DES collaboration Y1 cosmology data products at the following URL: https://des.ncsa.illinois.edu/releases.
Original languageEnglish
Pages (from-to)2018-2040
Number of pages22
JournalMonthly Notices of the Royal Astronomical Society: Letters
Volume481
Issue number2
Early online date23 Jul 2018
DOIs
Publication statusPublished - 1 Dec 2018

Documents

  • A catalogue of structural

    Rights statement: This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society ©: 2018 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.

    Final published version, 15.3 MB, PDF document

Relations Get citation (various referencing formats)

ID: 13378749