Opening a Window of Discovery on the Dynamic Universe

Data Mining Sphere

June 2015

The Large Synoptic Survey Telescope (LSST) database team has developed an innovative “overlapping partitioning” method for storing enormous amounts of information for rapid access. By overlapping equally sized packets of information in the partitioned sphere, searching for nearest neighbor sources becomes quick and efficient. Further, the technique has been shown to work just as efficiently with increasingly complex systems. The improved algorithms resulting from this innovative architecture will be available as open source software that can be used by a broad spectrum of fields to transform access to large databases.


Financial support for LSST comes from the National Science Foundation (NSF) through Cooperative Agreement No. 1258333, the Department of Energy (DOE) Office of Science under Contract No. DE-AC02-76SF00515, and private funding raised by the LSST Corporation. The NSF-funded LSST Project Office for construction was established as an operating center under management of the Association of Universities for Research in Astronomy (AURA).  The DOE-funded effort to build the LSST camera is managed by the SLAC National Accelerator Laboratory (SLAC).
The National Science Foundation (NSF) is an independent federal agency created by Congress in 1950 to promote the progress of science. NSF supports basic research and people to create knowledge that transforms the future.   

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