Speaker
Donald Petravick
(U)
Description
The Dark Energy Survey (DES) is designed to probe the origin of the
accelerating universe and help uncover the nature of dark energy by
measuring the 14-billion-year history of cosmic expansion with high
precision. More than 120 scientists from 23 institutions in the United
States, Spain, the United Kingdom, Brazil, Switzerland and and Germany
are working on the project. This collaboration has built an extremely
sensitive 570-Megapixel digital camera, DECam, and has mounted it on
the Blanco 4-meter telescope at Cerro Tololo Inter-American
Observatory high in the Chilean Andes.
The survey has completed an initial season of science verification.
The survey will start in September 2013 and run for 5 years. DES data
are transferred by network to the National Center for Supercomputing
Applications at the University of Illinois at Urbana-Champaign. The
processing system there supports quick-turn-around processing for
super nova science and final processing of data into catalogs.
We describe the processing software system which is in place for the
five year data taking period. The system is capable of processing
data on mid scale super computers and the Open Science Grid. The
software structure is oriented towards wrapping community codes and
custom codes, in a way that provides for uniform handling and common
operational characteristics for 10 processing pipelines. The system is
supported by a 100TB oracle database, which is used to store object
catalogs as well as extensive operational and file system
meta-data. Provenance data is stored in in a uniform schema derived
from the Open Provenance Model.
Primary author
Donald Petravick
(U)
Co-authors
Dr
Adam Lyon
(Fermilab)
Dr
Elizabeth Buckley-Geer
(Fermi National Accelerator Laboratory)
Ms
Margaret Gelman
(National Center for Supercomputing Applications)
Mr
Michael Johnson
(National Center for Supercomputing Applications)
Michael Wang
Ms
Michelle Gower
(National Center for Supercomputing Applications)
Mr
Todd Tomashek
(National Center for Supercomputing Applications)
