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A. A. Mahabal (Caltech), J. P. McDermott, G. J. Babu (PSU statistics), E. D. Feigelson (PSU astro), S. G. Djorgovski (Caltech), R. Nichol, L. Wasserman (CMU)
Data analysis in a Virtual Observatory will require a broad range of applied statistical tools. Towards that end we have been exploring a few software models which will allow astronomers to transparently apply different statistical techniques to large datasets. This includes a prototype web-based service, which will be described in this poster. The backbone of the service will be a combination of existing and well tested computer languages/packages like C, IDL, PERL and R; but it will be flexible enough to allow users to use their own favourite packages as well. We will demonstrate our pipeline and discuss how it fits in well with the evolving VO architecture. This work is produced by an interdisciplinary (computational astrostatistics) collaborative effort supported by the NSF FRG grant DMS-0101360.
The author(s) of this abstract have provided an email address for comments about the abstract: aam@astro.caltech.edu
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Bulletin of the American Astronomical Society, 34
© 2002. The American Astronomical Soceity.