tokens: during DES observations (for details, see Burke et al. 2017 ). For example, the air mass adopted for the standard atmosphere, 1.2, is well matched to the median air mass of exposures entering the co-add, 1.22. The system response is defined in steps of 5 from 3800 to 11000 . Out-of-band light leakage has been directly measured with DECal to be ≲10 −3 relative to the in-band response, and vendor measurements of witness samples suggest that the out-of-band leakage is typically at the 10 −5 to 10 −4 level. While detailed characterization of the out-of-band response is ongoing, the throughput of the DES DR1 standard bandpasses is defined as zero for out-of-band wavelengths (caveats are mentioned in Section 4.6 ). 5.5. Software All software used in the DESDM pipelines described in Section 3 and in Morganson et al. ( 2018 ) can be accessed from the release page itself 91 91 https://des.ncsa.illinois.edu/releases/dr1/dr1-docs/processing or from the DES Github Organization. 92 92 https://github.com/DarkEnergySurvey Together with access to the software used to generate these products and the configuration described in Morganson et al. ( 2018 ), we provide the main ingredients to reprocess the data in a manner similar to that done by DES. 6. Data Access Access to the DES DR1 data is provided through a collaborative partnership between NCSA, 93 93 http://www.ncsa.illinois.edu/ LIneA, 94 94 http://www.linea.gov.br/ and NOAO. 95 95 https://www.noao.edu/ From these institutions, a rich and complementary set of tools and interfaces were developed to access and interact with DES data in different ways that cover a broad set of use cases that enable scientific discovery. In this section we describe the main tools provided to access DES DR1. 96 96 https://des.ncsa.illinois.edu/releases/dr1/dr1-access 6.1. NCSA DES access NCSA provides the primary set of basic web applications to access DES DR1 data. Developed at NCSA, DESaccess ( https://des.ncsa.illinois.edu/easyweb ) provides the user with an interface to submit asynchronized jobs to perform SQL queries against an Oracle DB that contains the DES DR1 catalogs and to generate cutouts from a given list of positions from the co-add images. It also contains information regarding the catalogs, an interactive footprint finder to locate positions and tiles, and means to access images and catalogs in a tile-based format. The main services can be summarized as follows: 1. SQL web client: We provide an SQL web client that allows the user to submit asynchronous query jobs against the Oracle 12 database that contains the DES DR1 tables. The submitted jobs enter into a queue, and results can be retrieved at later times in either csv , FITS (Wells et al. 1981 ), or HDF5 (The HDF Group 1997 ) file format, supporting compression in some of the cases. Big jobs are divided into chunks of 1.5 GB to facilitate file transfer. This interface also provides means to check syntax and to evaluate synchronous jobs for a quick
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