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T. K. Ho (Bell Labs, Lucent Technologies)
The Virtual Observatory provides rich infrastructure for sharing diverse and massive observational data sets among astronomical researchers, enabling both targeted pursuits and open-ended exploration into many directions. To maximize its advantages, flexible and effective data analysis tools that can handle large data volumes, diverse data types, a wide range of objectives, and highly variable demands on speed are in critical need. We discuss our experiences with Mirage (http://www.cs.bell-labs.com/who/tkh/mirage), a prototypical software for interactive pattern discovery, and its applications in the Virtual Observatory. We focus on how to organize the analysis tool to lay a solid foundation for meeting these requirements and enabling continuous growth. We identify several key challenges in data analysis that need to be addressed in addition to core demands for data visualization and pattern recognition algorithms.
If you would like more information about this abstract, please follow the link to http://www.cs.bell-labs.com/who/tkh/mirage/index.html. 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.
The author(s) of this abstract have provided an email address for comments about the abstract: tkh@research.bell-labs.com
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Bulletin of the American Astronomical Society, 36 5
© 2004. The American Astronomical Society.