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arxiv: 1410.2526 · v1 · submitted 2014-10-09 · 🌌 astro-ph.IM

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Maximizing LSST's Scientific Return: Ensuring Participation from Smaller Institutions

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classification 🌌 astro-ph.IM
keywords datalsstwillinstitutionsreturnscientificastronomicalsmaller
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The remarkable scientific return and legacy of LSST, in the era that it will define, will not only be realized in the breakthrough science that will be achieved with catalog data. This Big Data survey will shape the way the entire astronomical community advances -- or fails to embrace -- new ways of approaching astronomical research and data. In this white paper, we address the NRC template questions 4,5,6,8 and 9, with a focus on the unique challenges for smaller, and often under-resourced, institutions, including institutions dedicated to underserved minority populations, in the efficient and effective use of LSST data products to maximize LSST's scientific return.

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