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	SCHEDULE: NOV 11-17, 2006 Harnessing Grid Resources to Enable the Dynamic Analysis of Large Astronomy Datasets Session: Poster Reception Event Type: Poster Time: 5:15pm - 7:15pm Author(s): Ioan Raicu, Ian Foster, Alex Szalay Location: Ballroom Corridor Abstract: Astronomy datasets are generally terabytes in size and contain hundreds of millions of objects separated into millions of files-factors which makes many analyses impractical to perform on small computers. The key question we answer in this paper is: "How can we leverage Grid resources to make the analysis of large astronomy datasets a reality for the astronomy community?" To address this question, we have developed a Web Services-based system, AstroPortal, that uses grid computing to federate large computing and storage resources for dynamic analysis of large datasets. Building on the GT4, we have built a prototype and implemented a first analysis, "stacking," that sums multiple regions of the sky, a function that can help both identify variable sources and detect faint objects. AstroPortal gives the astronomy community a new tool to advance their research and to open new doors to opportunities never before possible on such a large scale. Chair/Author Details: Ioan Raicu University of Chicago Ian Foster Unviersity of Chicago / Argonne National Laboratory Alex Szalay Johns Hopkins University
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