Opening a Window of Discovery on the Dynamic Universe


Pipelines process the images to produce catalogs, which are then made accessible to the community via open interfaces in a Virtual Observatory model. Since new data is being collected nightly throughout the LSST's 10-year survey period and scientific algorithms will evolve during this time frame, significant re-processing will occur. This must be taken into account in sizing LSST technology resources and making the LSST middleware easily extendable.

The pipelines can be categorized as "near real-time" or "static," depending on how stringent the associated latency and throughput deadlines are. Examples of near real-time pipelines include data quality assessments for providing feedback to telescope operations, instrument calibration processing, and time-domain/transient science analysis. These pipelines execute at the mountain/base facility in order to avoid the latency associated with long-haul transmission of the raw data. The static pipelines include deep image co-addition (stacking of paired exposures), weak lensing shear processing needed for dark energy and dark matter science, and object cataloging. These pipelines execute at the archive center, which also performs re-processing of the near real-time pipelines.

Image Credit: 
LSST Project Office

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). 

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