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arxiv: 1610.01661 · v1 · pith:2BP32R6Tnew · submitted 2016-10-05 · 🌌 astro-ph.IM

Maximizing Science in the Era of LSST: A Community-Based Study of Needed US Capabilities

Joan Najita (NOAO) , Beth Willman (LSST) , Douglas P. Finkbeiner (Harvard University) , Ryan J. Foley (UC Santa Cruz) , Suzanne Hawley (U. Washington) , Jeffrey A. Newman (U. Pittsburgh) , Gregory Rudnick (U. Kansas) , Joshua D. Simon (Carnegie Observatories)
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David Trilling (Northern Arizona U.) Rachel Street (LCOGT) Adam Bolton (NOAO) Ruth Angus (U. Oxford) Eric F. Bell (U. Michigan) Derek Buzasi (Florida Gulf Coast U.) David Ciardi (IPAC Caltech) James R. A. Davenport (Western Washington U.) Will Dawson (LLNL) Mark Dickinson (NOAO) Alex Drlica-Wagner (Fermilab) Jay Elias (NOAO) Dawn Erb (U. Wisconsin-Milwaukee) Lori Feaga (U. Maryland) Wen-fai Fong (U. Arizona) Eric Gawiser (Rutgers) Mark Giampapa (NSO) Puragra Guhathakurta (UC Santa Cruz) Jennifer L. Hoffman (U. Denver) Henry Hsieh (Planetary Science Institute) Elise Jennings (Fermilab) Kathryn V. Johnston (Columbia U.) Vinay Kashyap (Harvard-Smithsonian CfA) Ting S. Li (Texas A&M University) Eric Linder (LBNL) Rachel Mandelbaum (Carnegie Mellon U.) Phil Marshall (SLAC National Accelerator Laboratory) Thomas Matheson (NOAO) Soren Meibom (Harvard-Smithsonian CfA) Bryan W. Miller (Gemini Observatory) John O'Meara (Saint Michael's College) Vishnu Reddy (U. Arizona) Steve Ridgway (NOAO) Constance M. Rockosi (UC Santa Cruz) David J. Sand (Texas Tech U.) Chad Schafer (Carnegie Mellon U.) Sam Schmidt (UC Davis) Branimir Sesar (Max Planck Institute for Astronomy) Scott S. Sheppard (Carnegie Institute for Science/Department of Terrestrial Magnetism) Cristina A. Thomas (Planetary Science Institute) Erik J. Tollerud (STScI) Jon Trump (Penn State U.) Anja von der Linden (SUNY)
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keywords lsstsciencecapabilitiesneededaccomplishresourceswillcommunity-based
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The Large Synoptic Survey Telescope (LSST) will be a discovery machine for the astronomy and physics communities, revealing astrophysical phenomena from the Solar System to the outer reaches of the observable Universe. While many discoveries will be made using LSST data alone, taking full scientific advantage of LSST will require ground-based optical-infrared (OIR) supporting capabilities, e.g., observing time on telescopes, instrumentation, computing resources, and other infrastructure. This community-based study identifies, from a science-driven perspective, capabilities that are needed to maximize LSST science. Expanding on the initial steps taken in the 2015 OIR System Report, the study takes a detailed, quantitative look at the capabilities needed to accomplish six representative LSST-enabled science programs that connect closely with scientific priorities from the 2010 decadal surveys. The study prioritizes the resources needed to accomplish the science programs and highlights ways that existing, planned, and future resources could be positioned to accomplish the science goals.

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