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.
@article{arxiv.1410.2526,
title = {Maximizing LSST's Scientific Return: Ensuring Participation from Smaller Institutions},
author = {Charles T. Liu and Beth Willman and Joshua Pepper and Michael Rutkowski and Dara Norman and Kelle Cruz and John Bochanski and Hyun-chul Lee and Jedidah Isler and John Gizis and J. Allyn Smith and John Moustakas and Elizabeth Wehner and Marcus Alfred and Charles McGruder and Jennifer L. Hoffman and Karen Kwitter and Michael Carini and Jeff Bary and Kevin R. Covey and Rose Finn and Brian Penprase and Richard Gelderman and Simon Schuler},
journal= {arXiv preprint arXiv:1410.2526},
year = {2014}
}
Comments
White paper submitted to the National Research Council Committee on a Strategy Optimize the U.S. OIR System in the Era of the LSST, 3 pages