학술논문
Maximizing LSST's Scientific Return: Ensuring Participation from Smaller Institutions
Document Type
Working Paper
Author
Liu, Charles T.; Willman, Beth; Pepper, Joshua; Rutkowski, Michael; Norman, Dara; Cruz, Kelle; Bochanski, John; Lee, Hyun-chul; Isler, Jedidah; Gizis, John; Smith, J. Allyn; Moustakas, John; Wehner, Elizabeth; Alfred, Marcus; McGruder, Charles; Hoffman, Jennifer L.; Kwitter, Karen; Carini, Michael; Bary, Jeff; Covey, Kevin R.; Finn, Rose; Penprase, Brian; Gelderman, Richard; Schuler, Simon
Source
Subject
Language
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.
Comment: 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
Comment: 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