DES science portal: Creating science-ready catalogs

Journal Article · Tue May 15 00:00:00 EDT 2018 · Astronomy and Computing

DOI:https://doi.org/10.1016/j.ascom.2018.01.002· OSTI ID:1468016

Fausti Neto, Angelo; da Costa, Luiz N.; Carnero, A.; Gschwend, J.; Ogando, R. L. C.; Sobreira, F.; Maia, M. A. G.; Santiago, B. X.; Rosenfeld, R.; Singulani, C.; Adean, C.; Nunes, L. D. P.; Campisano, R.; Brito, R.; Soares, G.; Vila-Verde, G. C.; Abbott, T. M. C.; Abdalla, F. B.; Allam, S.; Benoit-Lévy, A. ; Brooks, D.; Buckley-Geer, E.; Capozzi, D.; Carrasco Kind, M.; Carretero, J.; D’Andrea, C. B.; Desai, S.; Doel, P.; Drlica-Wagner, A.; Evrard, A. E.; Fosalba, P.; García-Bellido, J.; Gerdes, D. W.; Gruendl, R. A.; Gutierrez, G.; Honscheid, K.; James, D. J.; Jeltema, T. E.; Kuehn, K.; Kuhlmann, S.; Kuropatkin, N.; Lahav, O.; Lima, M.; Marshall, J. L.; Melchior, P.; Menanteau, F.; Plazas, A.; Sanchez, E.; Scarpine, V.; Schindler, R.; Schubnell, M.; Sevilla-Noarbe, I.; Smith, M.; Smith, R. C.; Suchyta, Eric ; Swanson, M. E. C.; Tarle, G.; Walker, A. R.

We present a novel approach for creating science-ready catalogs through a software infrastructure developed for the Dark Energy Survey (DES). We integrate the data products released by the DES Data Management and additional products created by the DES collaboration in an environment known as DES Science Portal. Each step involved in the creation of a science-ready catalog is recorded in a relational database and can be recovered at any time. We describe how the DES Science Portal automates the creation and characterization of lightweight catalogs for DES Year 1 Annual Release, and show its flexibility in creating multiple catalogs with different inputs and configurations. Finally, we discuss the advantages of this infrastructure for large surveys such as DES and the Large Synoptic Survey Telescope. The capability of creating science-ready catalogs efficiently and with full control of the inputs and configurations used is an important asset for supporting science analysis using data from large astronomical surveys.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); National Science Foundation (NSF); European Union (EU); Australian Research Council (ARC); USDOE Office of Science (SC), High Energy Physics (HEP)
• Contributing Organization: DES collaboration; DES Collaboration
• Grant/Contract Number: AC05-00OR22725; AC02-07CH11359; 157684/2015-6; AST-1138766; AST-1536171; AYA2015-71825, ESP2015-88861; FPA2015-68048; SEV-2012-0234; SEV-2016-0597; MDM-2015-0509
• OSTI ID: 1468016
• Alternate ID(s): OSTI ID: 1410792
• Report Number(s): arXiv:1708.05642; FERMILAB-PUB-17-088
• Journal Information: Astronomy and Computing, Vol. 24, Issue C; ISSN 2213-1337
• Publisher: Elsevier
• Country of Publication: United States
• Language: English

Related Subjects

79 ASTRONOMY AND ASTROPHYSICS
Astronomical databases
Catalogs
Surveys—methods
Data analysis
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY