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Data Mining of the Catalina Sky Survey (CSS) Archive

Data Mining of the Catalina Sky Survey (CSS) Archive. John Crockett and Dr. David Trilling. Project Goals. Develop a “searchable” database from CSS archive Astrometric/Photometric criteria Test the utility of the database design “light curve” of a variable source

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Data Mining of the Catalina Sky Survey (CSS) Archive

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  1. Data Mining of the Catalina Sky Survey (CSS) Archive John Crockett and Dr. David Trilling

  2. Project Goals • Develop a “searchable” database from CSS archive • Astrometric/Photometric criteria • Test the utility of the database design • “light curve” of a variable source • Identify brown dwarf candidates • Etcetera, etcetera, etcetera…

  3. CSS Archive Details • 1800 square degrees of sky each night • Divided into 200 individual 3° x 3° “tiles” • Includes four images of each tile (each night) • Operates every clear-weather, low-moonlit night • Over six years of archived data Source: CSS Website - www.lpl.arizona.edu

  4. Project Method

  5. Conclusions Meaningful data “Searchability” Candidate lists Mitigates the need for telescope time

  6. The Catalina Sky Survey • The CSS/SSS Team:Ed Beshore (P.I.)Steve Larson (co-I.), Al Grauer, Andrea Boattini,Alex Gibbs,Rik Hill,Richard Kowalski,At Siding Spring:Rob McNaught, Gordon Garradd

  7. Acknowledgements NASA Space Grant Dr. Nadine Barlow, Ms. Kathleen Stigmon Catalina Sky Survey Team Dr. David Trilling

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