Time-Series Data and the Virtual Observatory

Details Time-Series Data and the Virtual Observatory Time-Series Data and the Virtual Observatory

Dec 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006aas...209.9901h&link_type=abstract

2007 AAS/AAPT Joint Meeting, American Astronomical Society Meeting 209, #99.01; Bulletin of the American Astronomical Society, V

Astronomy and Astrophysics

Astronomy

Scientific paper

Astronomy is entering a time of massive, time-domain surveys with the Palomar-Quest survey, Pan-STARRS, and ongoing development for the LSST. There already exist, however, significantly large time-domain surveys, legacy or in progress (i.e., MACHO, SuperMACHO, LONEOS, NSVS, FSVS, Quest1, to name a few), that can provide a wealth of secondary science as well as precursor information for future programs. Data mining across these datasets proves to be a challenge given the variety of formats, interfaces, and availability. We have investigated VO-enabled access of an assortment of datasets with a science goal of extracting tracers, such as RR Lyrae, to study Galactic Halo structure. Presented will be a current description of the datasets used, tools developed, and preliminary results.

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