Description

The Dark Energy Survey (DES; DES Collaboration, 2005, DES Collaboration, 2016) Science Verification (SV) period was a post-commissioning testing phase during which a mini-survey was performed to a depth comparable to the 5-year DES survey. The purpose of SV was to verify that the Dark Energy Camera (DECam; Flaugher et al., 2015) system was capable of producing science-quality data at a rate that would meet the DES science requirements. Between 2012 November 1 and 2013 February 22, 10,000+ SV exposures were collected by DECam and subsequently reduced with an early version of the DES Data Management (DESDM) software stack (Sevilla et al. 2011, Mohr et al. 2012, Gruendl et al. in prep). Both the raw and the reduced single-epoch images are available from the NOAO science archive.

The data products provided here come from the first annual reduction of the SV images (SVA1) and consist of object catalogs, value added quantities, and ancillary maps derived from the coadded SV images. The SVA1 GOLD Catalog provides photometry and simple classification for objects detected in the SVA1 coadd images. Ancillary maps describing the effective magnitude limit across the SVA1 footprint are also provided. The SVA1 Shear Catalogs provide shape information for a high-quality subset of objects in the GOLD catalog as derived by Jarvis et al. (2015). The SVA1 Photo-z Catalogs provide photometric redshift estimates for objects in the SVA1 GOLD catalog as derived in Bonnett et al. (2015). Catalogs of galaxy clusters and red galaxies in the SVA1 data set are provided by the SVA1 RedMaPPer and RedMaGiC Catalogs as derived in Rykoff et al. (2016) and Rozo et al. (2015).

If you use an SVA1 data product in a scientific publication, we ask that you cite the paper where the data product was derived and add a footnote to the SVA1 release URL. We also ask that you include the standard acknowledgement for the use of public DES data found here. 

 

Table of Contents

Caveats

The SVA1 data products do not constitute an official DES data release and are provided on an "as is" basis in support of DES publications based on SVA1 data. The SVA1 data products possess several known issues (documented in more detail below) arising from features in the instrument, data reduction, catalog creation, and calibration processes that were present during this early phase of data taking prior to normal operations of DES. 

Support

Support for the SVA1 data products is very limited. The primary sources of documentation are the papers that derived these data products, and questions can be addressed to the authors of those papers. Questions about the distribution of the data or the content of these wiki pages can be submitted using the web form provided here. Questions and responses are tracked, and can be viewed here.

Documentation

Download

The full listing of downloadable files can be found here.

The data products are described in more detail on the pages linked above and files are linked by topic below. Catalog files are distributed as gzipped FITS binary tables. Ancillary depth maps are provided as HEALPix formatted gzipped binary FITS tables. 

SVA1 GOLD Catalog

SVA1 Shear Catalogs

SVA1 Photo-z Catalogs

SVA1 Redmapper/Redmagic Catalogs

References

Acknowledgments

Funding for the DES Projects has been provided by the DOE and NSF(USA), MEC/MICINN/MINECO(Spain), STFC(UK), HEFCE(UK). NCSA(UIUC), KICP(U. Chicago), CCAPP(Ohio State), MIFPA(Texas A\&M), CNPQ, FAPERJ, FINEP (Brazil), DFG(Germany) and the Collaborating Institutions in the Dark Energy Survey.

The Collaborating Institutions are Argonne Lab, UC Santa Cruz, University of Cambridge, CIEMAT-Madrid, University of Chicago, University College London, DES-Brazil Consortium, University of Edinburgh, ETH Zurich, Fermilab, University of Illinois, ICE (IEEC-CSIC), IFAE Barcelona, Lawrence Berkeley Lab, LMU Munchen and the associated Excellence Cluster Universe, University of Michigan, NOAO, University of Nottingham, Ohio State University, University of Pennsylvania, University of Portsmouth, SLAC National Lab, Stanford University, University of Sussex, and Texas A\&M University.

The DES Data Management System is supported by the NSF under Grant Number AST-1138766. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2012-39559, ESP2013-48274, FPA2013-47986, and Centro de Excelencia Severo Ochoa SEV-2012-0234. Research leading to these results has received funding from the ERC under the EU's 7th Framework Programme including grants ERC 240672, 291329 and 306478.

We are grateful for the extraordinary contributions of our CTIO colleagues and the DECam Construction, Commissioning and Science Verification teams in achieving the excellent instrument and telescope conditions that have made this work possible. The success of this project also relies critically on the expertise and dedication of the DES Data Management group.

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The DES Data Management system is supported by the National Science Foundation under Grant Number (1138766).

             

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