We have developed an end-to-end photometric data processing pipeline to compare current photometric algorithms commonly used on ground-based imaging data. This testbed is exceedingly adaptable, and enables us to perform many research and development tasks, including image subtraction and co-addition, object detection and measurements, the production of photometric catalogs, and the creation and stocking of database tables with time-series information. This testing has been undertaken to evaluate existing photometry algorithms for consideration by a next-generation image processing pipeline for the Large Synoptic Survey Telescope (LSST). We outline the results of our tests for four packages: The Sloan Digital Sky Surveys (SDSS) Photo package, Daophot and Allframe, DoPhot, and t
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