2016/10/05 by Joan Najita, Najita, Joan, Beth Willman +122 · 1 citation
Computer Science · Engineering · Physics and Astronomy · #Advanced Data Storage Technologies #Cloud Computing and Resource Management #Distributed and Parallel Computing Systems #FOS: Physical sciences #ICT Impact and Policies #Instrumentation and Methods for Astrophysics (astro-ph.IM) #astro-ph.IM
paper · pdf · doi:10.48550/arxiv.1610.01661
174 pages; one chapter of this report was previously published as arXiv:1607.04302
arxiv created 2016/10/05 · openalex publication_date 2016/10/05 · arxiv updated 2016/10/07 · openalex created_date 2022/09/21 · openalex updated_date 2026/07/28
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.