Raw Data
Raw data from the survey is public one year after the data is taken. These include the science and calibration images.
When the Dark Energy Camera (DECam) is not in survey mode for DES, scientists from across the world are invited to apply for time. The data taken during these “community” runs is proprietary and generally becomes public after 18 months.
You can find all publicly available raw data at the NOIRLAB’s astro data lab.
Reduced Data
The National Center for Supercomputing Applications (NCSA) processes data for DES in conjunction with data scientists at Fermilab. There is no pre-determined schedule for release of reduced data (e.g., calibrated and reduced images, star and galaxy catalogs). The survey team releases these kinds of data when possible. The data releases currently available are listed below, along with the publications associated with any value-added data.
- Year-One (Y1A1) Data Release
- Wide-area object catalogs with weak lensing shapes and redshifts consisting of ~137 million objects detected in co-added images covering ~1800 deg 2 in the DES grizY filters.
- Data set is assembled from multiple epochs of DES imaging and consists of calibrated photometric zero-points, object catalogs, and ancillary data products that are necessary for accurate cosmological analyses.
- Data Release 1
- August 2013 to February 2016
- 38,000+ single epoch images; 10,000+ coadd tiles
- Multi-band coadd catalogs for ~400 million objects
- Data Release 1 [Paper]
- Image Processing Pipeline [Paper]
- SVA1 (Science Verification) Data Release:
- 2012 November 1 and 2013 February 22, 10,000+ exposures
- Associated Catalogs and derived quantities
- Gold Catalog: photometry and simple classification for objects detected in coadd images
- Galaxy Shear Catalogs (Jarvis et al. (2015))
- Photometric Redshift Catalogs Photo-z Catalogs (Bonnett et al. (2015))
- redMaPPer and redMaGiC Catalogs of red galaxies and galaxy clusters (Rykoff et al. (2016), Rozo et al. (2015))
Data from First Cosmology Analysis of DES Supernovae Ia
Brout et al.
Light curve photometry
Paper: https://arxiv.org/abs/1811.02378
Data: http://desdr-server.ncsa.illinois.edu/despublic/sn_files/y3/tar_files/02-DATA_PHOTOMETRY.tar.gz
Brout et al.
Light curve fit parameters
Paper: https://arxiv.org/abs/1811.02377
Data: http://desdr-server.ncsa.illinois.edu/despublic/sn_files/y3/tar_files/04-BBCFITS.tar.gz
DES Collaboration et al.
Cosmological constraints
Paper: https://arxiv.org/abs/1811.02374
Data: http://desdr-server.ncsa.illinois.edu/despublic/sn_files/y3/tar_files/05-COSMOLOGY.tar.gz
The entire data release to reproduce DES Collaboration et al. can be found here: https://des.ncsa.illinois.edu/releases/sn
Data from GW170817 (Neutron Star GW event)
Soares-Santos et al, Cowperthwaite et al.
The dataset used is available for those who wish to write their own follow up papers.
Data access:
Lightcurve Data: lightcurve_mrt_v4.txt
Kilonova data: kn_data_v2.tar
Use of these datasets should include citations to the Cowperthwaite et al. and Soares-Santos et al. papers.
Scolnic et al.
From the simulation paper (https://arxiv.org/abs/1710.05845)
SED time series that has been warped to match the photometry. It is important to note that these SEDs are not spectral data, nor are they spectral models. They are empirically warped so that synthetic photometry matches the photometric data.
Acknowledgments in Publications
We request that all papers that use DES public data include the acknowledgement below. In addition, we would appreciate if authors of all such papers would cite the following papers where appropriate:
DR1
The Dark Energy Survey Data Release 1, DES Collaboration (2018)
The Dark Energy Survey Image Processing Pipeline, E. Morganson, et al. (2018)
The Dark Energy Camera, B. Flaugher, et al, AJ, 150, 150 (2015)
Acknowledgement
This project used public archival data from the Dark Energy Survey (DES). Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana–Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovação, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey.
The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Enérgeticas, Medioambientales y Tecnológicas–Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenössische Technische Hochschule (ETH) Zürich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciències de l’Espai (IEEC/CSIC), the Institut de Física d’Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe, the University of Michigan, the National Optical Astronomy Observatory, the University of Nottingham, The Ohio State University, the OzDES Membership Consortium, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, and Texas A&M University.
Based in part on observations at Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory, which is operated by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation.