publication . Article . Preprint . 2018

A catalogue of structural and morphological measurements for DES Y1

Tarsitano, F; Hartley, W G; Amara, A; Bluck, A; Bruderer, C; Carollo, M; Conselice, C; Melchior, P; Moraes, B; Refregier, A; ...
Open Access English
  • Published: 01 Dec 2018
  • Publisher: HAL CCSD
Abstract
We present a structural and morphological catalogue for 45 million objects selected from the first year of data from the Dark Energy Survey (DES). Single Sersic fits and non-parametric measurements are produced for g, r and i filters. The parameters from the best-fitting Sersic model (total magnitude, half-light radius, Sersic 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, Sersic 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 SExtractor MAG 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% 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 Dark Energy Survey collaboration Y1 cosmology data products at the following URL: https://des.ncsa.illinois.edu/releases/y1a1/gold/morphology.
Comment: Accepted for publication in MNRAS. 26 pages, 16 figures. Catalogue data are available at https://des.ncsa.illinois.edu/releases/y1a1/gold/morphology
Persistent Identifiers
Subjects
arXiv: Astrophysics::Cosmology and Extragalactic AstrophysicsAstrophysics::Galaxy Astrophysics
free text keywords: Galaxy structure, galaxies: general, surveys, Galaxy evolution, catalogues, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Space and planetary science, Astronomy and astrophysics, QB, QC, Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, RCUK, STFC, Estimator, Magnitude (mathematics), Galaxy formation and evolution, Parameter space, Galaxy, Astrophysics, Position angle, Cosmology, Physics, Parametric statistics
Funded by
EC| COGS
Project
COGS
Capitalizing on Gravitational Shear
  • Funder: European Commission (EC)
  • Project Code: 240672
  • Funding stream: FP7 | SP2 | ERC
,
NSF| Collaborative Research: The Dark Energy Survey Data Management Operations
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1138766
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
,
EC| TESTDE
Project
TESTDE
Testing the Dark Energy Paradigm and Measuring Neutrino Mass with the Dark Energy Survey
  • Funder: European Commission (EC)
  • Project Code: 291329
  • Funding stream: FP7 | SP2 | ERC
,
EC| COSMICDAWN
Project
COSMICDAWN
Understanding the Origin of Cosmic Structure
  • Funder: European Commission (EC)
  • Project Code: 306478
  • Funding stream: FP7 | SP2 | ERC
97 references, page 1 of 7

Abbott T., et al., 2016, MNRAS, 460, 1270

Abraham R. G., van den Bergh S., Glazebrook K., Ellis R. S., Santiago B. X., Surma P., Gri ths R. E., 1996, ApJS, 107, 1

Abraham R. G., van den Bergh S., Nair P., 2003, ApJ, 588, 218

Bamford S. P., et al., 2009, MNRAS, 393, 1324

Banerji M., et al., 2010, MNRAS, 406, 342

Barden M., Ha&#x7f;u ler B., Peng C. Y., McIntosh D. H., Guo Y., 2012, MNRAS, 422, 449

Barnes J. E., 1988, ApJ, 331, 699

Bell E. F., et al., 2012, ApJ, 753, 167

Berge J., Gamper L., Refregier A., Amara A., 2013, Astronomy and Computing, 1, 23

Bernstein R. A., Freedman W. L., Madore B. F., 2002, ApJ, 571, 56

Bershady M. A., Jangren A., Conselice C. J., 2000, AJ, 119, 2645

Bertin E., 2011, in Evans I. N., Accomazzi A., Mink D. J., Rots A. H., eds, Astronomical Society of the Paci c Conference Series Vol. 442, Astronomical Data Analysis Software and Systems XX. p. 435

Bertin E., 2013, PSFEx: Point Spread Function Extractor, Astrophysics Source Code Library (ascl:1301.001)

Bertin E., Arnouts S., 1996, A&AS, 117, 393

Blanton M. R., et al., 2003, ApJ, 594, 186

97 references, page 1 of 7
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