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SUMMARY:Large Synoptic Survey Telescope (LSST): New Algorithms and Archite
 ctures
DTSTART;VALUE=DATE-TIME:20120503T120000Z
DTEND;VALUE=DATE-TIME:20120503T124500Z
DTSTAMP;VALUE=DATE-TIME:20130524T112253Z
UID:indico-contribution-24@cern.ch
DESCRIPTION:Speakers: Dr. JIM\, Bosch ()\nWhen it enters operation\, the L
 arge Synoptic Survey Telescope will produce 15TB of image data each night\
 , more than any other optical survey.  In many respects\, applying existin
 g algorithms at this scale is a significant technical challenge on its own
 .  However\, the improved statistical errors and the fact that LSST is "de
 ep\, wide\, and fast" will demand algorithms that are qualitatively differ
 ent from those sufficient for surveys that are smaller in any one of these
  dimensions.  In many cases\, the computational demands for these more com
 plex algorithms are considerably greater.  In this talk\, I will touch on 
 several of these computational problems and the LSST collaboration's plans
  to address them\, with a focus on difference imaging\, image coaddition\,
  and galaxy shape measurement for weak lensing.  A particular challenge fo
 r LSST is that the state-of-the-art in both algorithm development and hard
 ware architecture may change significantly before the survey begins\, and 
 our approach must be flexible enough to take advantage of both.\n\nhttp://
 indico.cern.ch/contributionDisplay.py?contribId=24&confId=159120
LOCATION:Department of Astrophysical Sciences\, University of Princeton\, 
 USA
URL:http://indico.cern.ch/contributionDisplay.py?contribId=24&confId=15912
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