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

Charles T. Liu; Beth Willman; Joshua Pepper; Michael Rutkowski; Dara Norman; Kelle Cruz; John Bochanski; Hyun-chul Lee; Jedidah Isler; John Gizis; J. Allyn Smith; John Moustakas; Elizabeth Wehner; Marcus Alfred; Charles McGruder; Jennifer L. Hoffman; Karen Kwitter; Michael Carini; Jeff Bary; Kevin R. Covey; Rose Finn; Brian Penprase; Richard Gelderman; Simon Schuler

arXiv · 1410.2526

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

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Abstract

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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Charles T. Liu, Beth Willman, Joshua Pepper, Michael Rutkowski, Dara Norman, Kelle Cruz, John Bochanski, Hyun-chul Lee, Jedidah Isler, John Gizis, J. Allyn Smith, John Moustakas, Elizabeth Wehner, Marcus Alfred, Charles McGruder, Jennifer L. Hoffman, Karen Kwitter, Michael Carini, Jeff Bary, Kevin R. Covey, Rose Finn, Brian Penprase, Richard Gelderman, Simon Schuler. 2014-10-09. Maximizing LSST's Scientific Return: Ensuring Participation from Smaller Institutions. https://arxiv.org/abs/1410.2526

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