The LSST Data Management System
Abstract
The Large Synoptic Survey Telescope (LSST; Ivezić et al. 2008) is a large-aperture, wide-field, ground-based survey system that will image the sky in six optical bands from 320 to 1050 nm, uniformly covering approximately 18000 deg2 of the sky over 800 times. The LSST is currently under construction on Cerro Pachón in Chile, and expected to enter operations in 2022. Once operational, the LSST will explore a wide range of astrophysical questions, from discovering "killer" asteroids to examining the nature of Dark Energy. The LSST will generate on average 15 TB of data per night, and will require a comprehensive Data Management system to reduce the raw data to scientifically useful catalogs and images with minimum human intervention. These reductions will result in a real-time alert stream, and eleven data releases over the 10-year duration of LSST operations. To enable this processing, the LSST project is developing a new, general-purpose, high-performance, scalable, well documented, open source data processing software stack for O/IR surveys. Prototypes of this stack are already capable of processing data from existing cameras (e.g., SDSS, DECam, MegaCam), and form the basis of the Hyper-Suprime Cam (HSC) Survey data reduction pipeline.
Additional Information
© 2017 Astronomical Society of the Pacific. This material is based upon work supported in part by the National Science Foundation through Cooperative Support Agreement (CSA) Award No. AST-1227061 under Governing Cooperative Agreement 1258333 managed by the Association of Universities for Research in Astronomy (AURA), and the Department of Energy under Contract No. DE-AC02-76SF00515 with the SLAC National Accelerator Laboratory. Additional LSST funding comes from private donations, grants to universities, and in-kind support from LSSTC Institutional Members. The authors would like to thank Steve Ritz, Sandrine Thomas, and Chuck Claver for thorough reading of the manuscript and thoughtful comments that improved it significantly.Attached Files
Published - 512-0279.pdf
Submitted - ASPCS.pdf
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Additional details
- Eprint ID
- 63970
- Resolver ID
- CaltechAUTHORS:20160126-100336094
- NSF
- AST-1227061
- Association of Universities for Research in Astronomy (AURA)
- 1258333
- Department of Energy (DOE)
- DE-AC02-76SF00515
- Created
-
2016-01-26Created from EPrint's datestamp field
- Updated
-
2023-06-02Created from EPrint's last_modified field
- Caltech groups
- Infrared Processing and Analysis Center (IPAC)
- Series Name
- Astronomical Society of the Pacific Conference Series
- Series Volume or Issue Number
- 512