English

Dark Energy Survey Year 6 Results: Photometric Data Set for Cosmology

Cosmology and Nongalactic Astrophysics 2025-01-14 v2

Abstract

We describe the photometric data set assembled from the full six years of observations by the Dark Energy Survey (DES) in support of static-sky cosmology analyses. DES Y6 Gold is a curated data set derived from DES Data Release 2 (DR2) that incorporates improved measurement, photometric calibration, object classification and value added information. Y6 Gold comprises nearly 5000 deg25000~{\rm deg}^2 of grizYgrizY imaging in the south Galactic cap and includes 669 million objects with a depth of iAB23.4i_{AB} \sim 23.4 mag at S/N 10\sim 10 for extended objects and a top-of-the-atmosphere photometric uniformity <2 mmag< 2~{\rm mmag}. Y6 Gold augments DES DR2 with simultaneous fits to multi-epoch photometry for more robust galaxy shapes, colors, and photometric redshift estimates. Y6 Gold features improved morphological star-galaxy classification with efficiency 98.6%98.6\% and contamination 0.8%0.8\% for galaxies with 17.5<iAB<22.517.5 < i_{AB} < 22.5. Additionally, it includes per-object quality information, and accompanying maps of the footprint coverage, masked regions, imaging depth, survey conditions, and astrophysical foregrounds that are used for cosmology analyses. After quality selections, benchmark samples contain 448 million galaxies and 120 million stars. This paper will be complemented by online data access and documentation.

Keywords

Cite

@article{arxiv.2501.05739,
  title  = {Dark Energy Survey Year 6 Results: Photometric Data Set for Cosmology},
  author = {K. Bechtol and I. Sevilla-Noarbe and A. Drlica-Wagner and B. Yanny and R. A. Gruendl and E. Sheldon and E. S. Rykoff and J. De Vicente and M. Adamow and D. Anbajagane and M. R. Becker and G. M. Bernstein and A. Carnero Rosell and J. Gschwend and M. Gorsuch and W. G. Hartley and M. Jarvis and T. Jeltema and R. Kron and T. A. Manning and J. O'Donnell and A. Pieres and M. Rodríguez-Monroy and D. Sanchez Cid and M. Tabbutt and L. Toribio San Cipriano and D. L. Tucker and N. Weaverdyck and M. Yamamoto and T. M. C. Abbott and M. Aguena and A. Alarcón and S. Allam and A. Amon and F. Andrade-Oliveira and S. Avila and P. H. Bernardinelli and E. Bertin and J. Blazek and D. Brooks and D. L. Burke and J. Carretero and F. J. Castander and R. Cawthon and C. Chang and A. Choi and C. Conselice and M. Costanzi and M. Crocce and L. N. da Costa and T. M. Davis and S. Desai and H. T. Diehl and S. Dodelson and P. Doel and C. Doux and A. Ferté and B. Flaugher and P. Fosalba and J. Frieman and J. García-Bellido and M. Gatti and E. Gaztanaga and G. Giannini and D. Gruen and G. Gutierrez and K. Herner and S. R. Hinton and D. L. Hollowood and K. Honscheid and D. Huterer and N. Jeffrey and E. Krause and K. Kuehn and O. Lahav and S. Lee and C. Lidman and M. Lima and H. Lin and J. L. Marshall and J. Mena-Fernández and R. Miquel and J. J. Mohr and J. Muir and J. Myles and R. L. C. Ogando and A. Palmese and A. A. Plazas Malagón and A. Porredon and J. Prat and M. Raveri and A. K. Romer and A. Roodman and S. Samuroff and E. Sanchez and V. Scarpine and M. Smith and M. Soares-Santos and E. Suchyta and G. Tarle and M. A. Troxel and V. Vikram and A. R. Walker and J. Weller and P. Wiseman and Y. Zhang},
  journal= {arXiv preprint arXiv:2501.05739},
  year   = {2025}
}

Comments

Data products and documentation are publicly available at https://des.ncsa.illinois.edu/releases