October 9, 2015 - The LSST Data Management team held a successful Boot Camp earlier this week to introduce new hires and interested users to DM processes and the Science Pipelines stack. Boot Camp took place at three locations, connected by Blue Jeans videoconferencing. Each day involved a few hours of lectures by subject experts followed by a hands-on tutorial with a local instructor. The agenda and presentations can be found on the LSST Community Forum (community.lsst.org); video recordings of lectures will be posted there as well after some editing. Participants at each site included (L-R):
Tucson Project Office: Alexandra Abate (UA), Frossie Economou (LSST), Jonathan Sick (LSST), Russell Owen (UW), J Matt Peterson (LSST), David Nidever (LSST), Angelo Fausti (LSST), Tim Jenness (LSST)
Princeton University: Hsin-Fang Chiang (NCSA), Vishal Kasliwal (University of Pennsylvania & Princeton), John Swinbank (Princeton), Jose Garmilla (Princeton), Lauren MacArthur (Princeton), Merlin Fisher-Levine (BNL)
University of Washington: David Reiss (UW), Yusra AlSayyad (UW), Ian Sullivan (UW), Bob Abel (UW), Nate Pease (SLAC), Colin Slater (UW)
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.
NSF and DOE will continue to support LSST in its Operations phase. They will also provide support for scientific research with LSST data.
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