Computer Science – Databases
Scientific paper
Oct 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aspc..376..309b&link_type=abstract
Astronomical Data Analysis Software and Systems XVI ASP Conference Series, Vol. 376, proceedings of the conference held 15-18 Oc
Computer Science
Databases
Scientific paper
The development of large imaging surveys covering the optical and infrared makes data calibration impractical to carry out ``by hand'' as it requires comparison of the uncalibrated image to reference data. The tools of the Virtual Observatory allow these comparisons to be automated in an efficient way that does not require large local databases. We discuss here new web service based approaches to automated photometric and astrometric calibration of imaging data that utilize Open SkyQuery for data retrieval and Wesix for source extraction. We show how these tools are currently being used to extract source catalogs from a large imaging data set, demonstrating that our approach can scale to data sets the size of SDSS. Moreover, our methods are general and can be applied to any image with reference data present in Open SkyQuery. Our software serves as a case study for applying web services to large data sets and exemplifies how this new approach to software is a plausible way for typical astronomers to utilize large data sets for calibration.
Brewer James
Connolly Amy
Krughoff Simon
Scranton Ryan
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