2016/10/05 by Joan Najita, Najita, Joan, Beth Willman +98 · 1 citation
Computer Science · Engineering · #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)
paper · pdf · doi:10.48550/arxiv.1610.01661
openalex publication_date 2016/10/05 · openalex created_date 2022/09/21 · openalex updated_date 2026/07/28
The Large Synoptic Survey Telescope (LSST) will be a discovery machine for\nthe astronomy and physics communities, revealing astrophysical phenomena from\nthe Solar System to the outer reaches of the observable Universe. While many\ndiscoveries will be made using LSST data alone, taking full scientific\nadvantage of LSST will require ground-based optical-infrared (OIR) supporting\ncapabilities, e.g., observing time on telescopes, instrumentation, computing\nresources, and other infrastructure. This community-based study identifies,\nfrom a science-driven perspective, capabilities that are needed to maximize\nLSST science. Expanding on the initial steps taken in the 2015 OIR System\nReport, the study takes a detailed, quantitative look at the capabilities\nneeded to accomplish six representative LSST-enabled science programs that\nconnect closely with scientific priorities from the 2010 decadal surveys. The\nstudy prioritizes the resources needed to accomplish the science programs and\nhighlights ways that existing, planned, and future resources could be\npositioned to accomplish the science goals.\n