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A. Rest, A. Miceli, G. Miknaitis, R. Covarrubias, C. Stubbs (U. of Washington), E. Magnier (CFHT/U. of Hawaii), B. Koehn, T. Bowell (Lowell Obs.), K. Cook (IGPP/LLNL), K. Krisciunas (CTIO/NOAO)
The Lowell Observatory Near Earth Object Survey (LONEOS) has imaged nearly half of the sky in multiple epochs in the past four years. During this time, we have developed a pipeline for extracting photometric information from the observations on a nightly basis. The resulting database is ideal for studying variable objects, such as RR Lyrae stars, Cataclysmic Variables, and quasars. The database currently contains 15000 sq. deg. with >8 epochs and 6000 sq. deg. with >20 epochs. In the near future, existing imaging data will be added to the database, doubling or tripling its spatial and temporal coverage. Cross-correlating photometrically identified variables in the LONEOS database with objects having spectroscopy in the Early-Data-Release (EDR) of the Sloan Digital Sky Survey (SDSS), we show that our identification and classification schemes are robust. These results demonstrate the power of the LONEOS database for studying variable objects on a large scale.
The author(s) of this abstract have provided an email address for comments about the abstract: rest@astro.washington.edu