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LSST: From Science Drivers to Reference Design and Anticipated Data Products

Ivezić, Željko and Brown, Michael E. and Ciardi, David R. and Cutri, Roc and Dubois-Felsmann, Gregory P. and Goldina, Tatiana and Kasliwal, Mansi and Kulkarni, Shri and Levine, Deborah and Mahabal, Ashish and Monkewitz, Serge and Roby, William and Storrie-Lombardi, Lisa and Wang, Shin-Yawn and Wu, Xuiqin (2019) LSST: From Science Drivers to Reference Design and Anticipated Data Products. Astrophysical Journal, 873 (2). Art. No. 111. ISSN 1538-4357. doi:10.3847/1538-4357/ab042c.

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We describe here the most ambitious survey currently planned in the optical, the Large Synoptic Survey Telescope (LSST). The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the solar system, exploring the transient optical sky, and mapping the Milky Way. LSST will be a large, wide-field ground-based system designed to obtain repeated images covering the sky visible from Cerro Pachón in northern Chile. The telescope will have an 8.4 m (6.5 m effective) primary mirror, a 9.6 deg^2 field of view, a 3.2-gigapixel camera, and six filters (ugrizy) covering the wavelength range 320–1050 nm. The project is in the construction phase and will begin regular survey operations by 2022. About 90% of the observing time will be devoted to a deep-wide-fast survey mode that will uniformly observe a 18,000 deg^2 region about 800 times (summed over all six bands) during the anticipated 10 yr of operations and will yield a co-added map to r ~ 27.5. These data will result in databases including about 32 trillion observations of 20 billion galaxies and a similar number of stars, and they will serve the majority of the primary science programs. The remaining 10% of the observing time will be allocated to special projects such as Very Deep and Very Fast time domain surveys, whose details are currently under discussion. We illustrate how the LSST science drivers led to these choices of system parameters, and we describe the expected data products and their characteristics.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Ivezić, Željko0000-0001-5250-2633
Brown, Michael E.0000-0002-8255-0545
Ciardi, David R.0000-0002-5741-3047
Cutri, Roc0000-0002-0077-2305
Dubois-Felsmann, Gregory P.0000-0003-1598-6979
Kasliwal, Mansi0000-0002-5619-4938
Kulkarni, Shri0000-0001-5390-8563
Mahabal, Ashish0000-0003-2242-0244
Storrie-Lombardi, Lisa0000-0002-5987-5210
Additional Information:© 2019. The American Astronomical Society. Received 2018 May 25; revised 2019 January 8; accepted 2019 January 17; published 2019 March 11. This material is based on work supported in part by the National Science Foundation through 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. This research has made use of NASA's Astrophysics Data System Bibliographic Services. Facility: LSST. -
Group:Infrared Processing and Analysis Center (IPAC), Astronomy Department
Funding AgencyGrant Number
Department of Energy (DOE)DE-AC02-76SF00515
LSSTC Institutional MembersUNSPECIFIED
Subject Keywords: astrometry; cosmology: observations; Galaxy: general; methods: observational; stars: general; surveys
Issue or Number:2
Record Number:CaltechAUTHORS:20190311-132254415
Persistent URL:
Official Citation:Željko Ivezić et al 2019 ApJ 873 111
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:93690
Deposited By: George Porter
Deposited On:11 Mar 2019 21:00
Last Modified:16 Nov 2021 17:00

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