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The LSST Data Management System

Jurić, Mario and Dubois-Felsmann, Gregory and Ciardi, David R. and Van Dyk, Schuyler D. (2016) The LSST Data Management System. In: Astronomical Data Analysis Software and Systems XXV. Astronomical Society of the Pacific Conference Series. No.512. Astronomical Society of the Pacific , San Francisco, CA, pp. 279-288. ISBN 978-1-58381-908-1. https://resolver.caltech.edu/CaltechAUTHORS:20160126-100336094

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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.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://www.aspbooks.org/a/volumes/article_details/?paper_id=38435PublisherArticle
http://arxiv.org/abs/1512.07914arXivDiscussion Paper
ORCID:
AuthorORCID
Dubois-Felsmann, Gregory0000-0003-1598-6979
Ciardi, David R.0000-0002-5741-3047
Van Dyk, Schuyler D.0000-0001-9038-9950
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.
Group:Infrared Processing and Analysis Center (IPAC)
Funders:
Funding AgencyGrant Number
NSFAST-1227061
Association of Universities for Research in Astronomy (AURA)1258333
Department of Energy (DOE)DE-AC02-76SF00515
Series Name:Astronomical Society of the Pacific Conference Series
Issue or Number:512
Record Number:CaltechAUTHORS:20160126-100336094
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20160126-100336094
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:63970
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:26 Jan 2016 18:22
Last Modified:09 Mar 2020 13:18

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