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LSST at AAS 211

211th Meeting of the American Astronomical Society

Austin, Tx
7-11 January 2008

LSST at AAS 209

209th Meeting of the American Astronomical Society

Seattle, Wa
5-10 January 2007

LSST at AAS 205

205th Meeting of the American Astronomical Society
9-13 January 2005 San Diego, CA


Session 133.   Cosmology with Large-Area Surveys

Invited, Wednesday, January 12, 2005, 3:40-5:10pm

133.02 The Large Synoptic Survey Telescope
Presentation [pdf]
P.A. Pinto (Steward Observatory, University of Arizona)

Session 108.   LSST

Community Science with LSST

Special Session at the 217th AAS Meeting: January 10, 2011, 2:00pm-3:30pm

Session Description:

As the Large Synoptic Survey Telescope (LSST) moves closer to operations, the astronomical community is gearing up to take maximum advantage of the unprecedented opportunity LSST provides. This AAS Special Session gives astronomers a preview of the available data products and interfaces as well as a discussion of the transformative science enabled by LSST.

Data Management Project Engineer

Kian-Tat Lim, Project Engineer for Data Management

SLAC National Acceleratory Laboratory
2575 Sand Hill Rd, MS-97
Menlo Park, CA 94025
ktl@slac.stanford.edu
(650) 926-2902

Telescope and Site Project Scientist

Sandrine Thomas, Deputy Director for Rubin Construction for AURA/NSF and Project Scientist for Telescope & Site

Vera C. Rubin Observatory
950 N. Cherry Avenue
Tucson, AZ 85719
sthomas@lsst.org
(520) 318-8227

Camera Project Scientist

Steve Ritz, Project Scientist for Camera

University of California, Santa Cruz
SCIPP
1156 High St
331 Nat Sci 2
Santa Cruz, CA 95064
sritz@ucsc.edu
(831) 459-3018

Tim Axelrod

Tim Axelrod

University of Arizona
950 N. Cherry Avenue
Tucson, AZ  85719
taxelrod@lsst.org
(520) 626-0817
June

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.

Credit: 
LSST

Pages

Financial support for Rubin Observatory 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 Rubin Observatory 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 Rubin Observatory LSST Camera (LSSTCam) 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.
NSF and DOE will continue to support Rubin Observatory in its Operations phase. They will also provide support for scientific research with LSST data.   




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