AAS 197, January 2001
Session 116. Virtual Observatory: Data, Services, Tools and Software
Display, Thursday, January 11, 2001, 9:30-4:00pm, Exhibit Hall

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[116.12] Software Tools for Data Mining the Archives of the National Virtual Observatory. I. Quick & Dirty CCD Stellar Photometry (QDPHOT)

K. J. Mighell (NOAO/KPNO)

I present a new fast CCD stellar photometry {\sc{iraf}} task called {\sc{qdphot}} (Quick & Dirty PHOTometry) which quickly produces good CCD stellar photometry from two CCD images of a star field. {\sc{qdphot}} was designed to be a data mining tool for finding high-quality stellar observations in the data archives of the National Virtual Observatory. {\sc{qdphot}} typically takes just a few seconds to analyze two {\sl{Hubble Space Telescope}} WFPC2 observations of Local Group star clusters. {\sc{qdphot}} is also suitable for real-time data-quality analysis of CCD observations; on-the-fly instrumental color-magnitude diagrams can be produced at the telescope console during the few seconds between CCD readouts. More information about {\sc{qdphot}} is available at the following website:\\[1mm] {\tt{http://www.noao.edu/staff/mighell/qdphot/}}

This research is supported by a grant from the National Aeronautics and Space Administration (NASA), Order No.\ S-67046-F, which was awarded by the Long-Term Space Astrophysics Program (NRA 95-OSS-16).

If you would like more information about this abstract, please follow the link to http://www.noao.edu/staff/mighell/qdphot/. This link was provided by the author. When you follow it, you will leave the Web site for this meeting; to return, you should use the Back comand on your browser.

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