Statistics – Applications
Scientific paper
May 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004aas...204.7603m&link_type=abstract
American Astronomical Society Meeting 204, #76.03; Bulletin of the American Astronomical Society, Vol. 36, p.806
Statistics
Applications
1
Scientific paper
VOStat (Virtual Observatory Statistics) project aims to provide a rich suite of web-based statistical services for exploration and analysis of astronomical data sets, especially in the context of a Virtual Observatory environment. We demonstrate here a few exploratory science applications covering a range of functionalities. We start by showing how to rediscover basic relationships like the HR diagram using stellar catalogues, move on to discoveries of more complex, multivariate correlations for parameters of globular clusters, and go on to show how KDE trees can be used to identify quasar candidates using multicolor Palomar-QUEST survey data, as outliers in the color space. Some other planned applications are also briefly outlined.
This work is supported in part by the NSF grant DMS-0101360.
Babu Gutti Jogesh
Djorgovski Stanislav G.
Feigelson Eric
Graham Maggie
Mahabal Ashish A.
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