March 3, 2017 - Version 1.0 of the Observatory Control System (OCS) Scheduler has been released by the LSST Telescope & Site team to the Systems Engineering Simulations team. This important milestone marks the first version of the Scheduler that has all the functionality necessary to implement the five science proposals in the current survey baseline: Wide Fast Deep, North Ecliptic Spur, South Celestial Pole, Galactic Plane, and Deep Drilling. The software will now be validated through a series of simulated surveys and analysis, while the development continues to incorporate the remaining features described in the requirements and construction plan. This effort was completed by OCS Team Lead Francisco Delgado (who developed the observatory model, area distribution algorithms, time distribution algorithms and cost functions), Dave Mills from OCS (who developed the DDS based Middleware interface), and from the Project Systems Engineering group, Peter Yoachim (who developed the sky brightness model), and Michael Reuter (who developed the simulation environment and reviewed the OpSim integration effort).
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 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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