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VOStat: A Distributed Statistical Toolkit for the Virtual Observatory

Graham, Matthew J. and Djorgovski, S. G. and Mahabal, A. A. and Williams, Roy D. and Babu, G. Jogesh and Feigelson, Eric D. and Vanden Berk, Daniel E. and Nichol, Robert and Wasserman, Larry (2005) VOStat: A Distributed Statistical Toolkit for the Virtual Observatory. In: Astronomical Data Analysis Software and Systems XIV. ASP Conference Series. No.347. Astronomical Society of the Pacific , San Francisco, CA, pp. 394-398. ISBN 1-58381-215-6.

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The nature of astronomical data is changing: data volumes are following Moore's law with a doubling every 18 months and data sets consisting of a billion data vectors in a 100-dimensional parameter space are becoming commonplace. Sophisticated statistical techniques are crucial to fully and efficiently exploit these and maximize the scientific return. A long-standing limitation, however, on the range and capability of such analyses has been the paucity of non-proprietary software. VOStat is the result of a cross-disciplinary collaboration between astronomers and statisticians to meet these challenges; it is a prototype knowledge-based statistical toolkit implemented within the VO paradigm for the entire astronomical community. VOStat consists of an easily extensible distributed web-based framework transparently accessed via a single science endpoint. An exploratory science application is presented to demonstrate some of the functionality currently offered by VOStat.

Item Type:Book Section
Related URLs:
URLURL TypeDescription
Graham, Matthew J.0000-0002-3168-0139
Djorgovski, S. G.0000-0002-0603-3087
Mahabal, A. A.0000-0003-2242-0244
Williams, Roy D.0000-0002-9145-8580
Feigelson, Eric D.0000-0002-5077-6734
Additional Information:© 2005 Astronomical Society of the Pacific. This work is supported in part by the NSF grant DMS-0101360.
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Series Name:ASP Conference Series
Issue or Number:347
Record Number:CaltechAUTHORS:20110810-140105650
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:24788
Deposited By: Tony Diaz
Deposited On:13 Sep 2011 18:23
Last Modified:09 Mar 2020 13:18

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