Journal
ASTRONOMISCHE NACHRICHTEN
Volume 329, Issue 3, Pages 255-258Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/asna.200710946
Keywords
astronomical databases : miscellaneous; methods : data analysis; methods : statistical
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We describe the largest data-producing astronomy project in the coming decade - the LSST (Large Synoptic Survey Telescope). The enormous data output, database contents, knowledge, discovery, and community science expected from this project will impose massive data challenges on the astronomical research community. One of these challenge areas is the rapid machine learning, data mining, and classification of all novel astronomical events from each 3-gigapixel (6-GB) image obtained every 20 seconds throughout every night for the project duration of 10 years. We describe these challenges and a particular implementation of a classification broker for this data fire hose. (C) 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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