%0 Generic %1 citeulike:14156307 %A Najita, Joan %A Willman, Beth %A Finkbeiner, Douglas P. %A Foley, Ryan J. %A Hawley, Suzanne %A Newman, Jeffrey A. %A Rudnick, Gregory %A Simon, Joshua D. %A Trilling, David %A Street, Rachel %A Bolton, Adam %A Angus, Ruth %A Bell, Eric F. %A Buzasi, Derek %A Ciardi, David %A Davenport, James R. A. %A Dawson, Will %A Dickinson, Mark %A Drlica-Wagner, Alex %A Elias, Jay %A Erb, Dawn %A Feaga, Lori %A Fong, Wen-fai %A Gawiser, Eric %A Giampapa, Mark %A Guhathakurta, Puragra %A Hoffman, Jennifer L. %A Hsieh, Henry %A Jennings, Elise %A Johnston, Kathryn V. %A Kashyap, Vinay %A Li, Ting S. %A Linder, Eric %A Mandelbaum, Rachel %A Marshall, Phil %A Matheson, Thomas %A Meibom, Soren %A Miller, Bryan W. %A O'Meara, John %A Reddy, Vishnu %A Ridgway, Steve %A Rockosi, Constance M. %A Sand, David J. %A Schafer, Chad %A Schmidt, Sam %A Sesar, Branimir %A Sheppard, Scott S. %A Thomas, Cristina A. %A Tollerud, Erik J. %A Trump, Jon %A von der Linden, Anja %D 2016 %K imported %T Maximizing Science in the Era of LSST: A Community-Based Study of Needed US Capabilities %U http://arxiv.org/abs/1610.01661 %X The Large Synoptic Survey Telescope (LSST) will be a discovery machine for the astronomy and physics communities, revealing astrophysical phenomena from the Solar System to the outer reaches of the observable Universe. While many discoveries will be made using LSST data alone, taking full scientific advantage of LSST will require ground-based optical-infrared (OIR) supporting capabilities, e.g., observing time on telescopes, instrumentation, computing resources, and other infrastructure. This community-based study identifies, from a science-driven perspective, capabilities that are needed to maximize LSST science. Expanding on the initial steps taken in the 2015 OIR System Report, the study takes a detailed, quantitative look at the capabilities needed to accomplish six representative LSST-enabled science programs that connect closely with scientific priorities from the 2010 decadal surveys. The study prioritizes the resources needed to accomplish the science programs and highlights ways that existing, planned, and future resources could be positioned to accomplish the science goals.

@misc{citeulike:14156307, abstract = {{The Large Synoptic Survey Telescope (LSST) will be a discovery machine for the astronomy and physics communities, revealing astrophysical phenomena from the Solar System to the outer reaches of the observable Universe. While many discoveries will be made using LSST data alone, taking full scientific advantage of LSST will require ground-based optical-infrared (OIR) supporting capabilities, e.g., observing time on telescopes, instrumentation, computing resources, and other infrastructure. This community-based study identifies, from a science-driven perspective, capabilities that are needed to maximize LSST science. Expanding on the initial steps taken in the 2015 OIR System Report, the study takes a detailed, quantitative look at the capabilities needed to accomplish six representative LSST-enabled science programs that connect closely with scientific priorities from the 2010 decadal surveys. The study prioritizes the resources needed to accomplish the science programs and highlights ways that existing, planned, and future resources could be positioned to accomplish the science goals.}}, added-at = {2019-03-25T08:20:55.000+0100}, archiveprefix = {arXiv}, author = {Najita, Joan and Willman, Beth and Finkbeiner, Douglas P. and Foley, Ryan J. and Hawley, Suzanne and Newman, Jeffrey A. and Rudnick, Gregory and Simon, Joshua D. and Trilling, David and Street, Rachel and Bolton, Adam and Angus, Ruth and Bell, Eric F. and Buzasi, Derek and Ciardi, David and Davenport, James R. A. and Dawson, Will and Dickinson, Mark and Drlica-Wagner, Alex and Elias, Jay and Erb, Dawn and Feaga, Lori and Fong, Wen-fai and Gawiser, Eric and Giampapa, Mark and Guhathakurta, Puragra and Hoffman, Jennifer L. and Hsieh, Henry and Jennings, Elise and Johnston, Kathryn V. and Kashyap, Vinay and Li, Ting S. and Linder, Eric and Mandelbaum, Rachel and Marshall, Phil and Matheson, Thomas and Meibom, Soren and Miller, Bryan W. and O'Meara, John and Reddy, Vishnu and Ridgway, Steve and Rockosi, Constance M. and Sand, David J. and Schafer, Chad and Schmidt, Sam and Sesar, Branimir and Sheppard, Scott S. and Thomas, Cristina A. and Tollerud, Erik J. and Trump, Jon and von der Linden, Anja}, biburl = {https://www.bibsonomy.org/bibtex/2f90673d9515bd176413f5d86e08e4afd/ericblackman}, citeulike-article-id = {14156307}, citeulike-linkout-0 = {http://arxiv.org/abs/1610.01661}, citeulike-linkout-1 = {http://arxiv.org/pdf/1610.01661}, day = 5, eprint = {1610.01661}, interhash = {cccebad6cae7d876f9e376d43abbaa77}, intrahash = {f90673d9515bd176413f5d86e08e4afd}, keywords = {imported}, month = oct, posted-at = {2016-10-10 06:31:10}, priority = {2}, timestamp = {2019-03-25T08:20:55.000+0100}, title = {{Maximizing Science in the Era of LSST: A Community-Based Study of Needed US Capabilities}}, url = {http://arxiv.org/abs/1610.01661}, year = 2016 }