Statistics – Applications
Scientific paper
Dec 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005aspc..347..203c&link_type=abstract
Astronomical Data Analysis Software and Systems XIV ASP Conference Series, Vol. 347, Proceedings of the Conference held 24-27 Oc
Statistics
Applications
Scientific paper
As virtual observatories are being built, the integration of existing astronomical analysis codes is becoming increasingly important. This is particularly true for widely used standard applications. In these cases, creating what amounts to on--site data--mining facilities is clearly beneficial for a wide variety of users, including, but not limited to, users with very little current knowledge of the underlying technologies or users interested in using the machinery for educational purposes. Given the nature of most legacy codes, there are a number of problems that have to be solved. Here, we present an application that makes a very fast and efficient n--point correlation function code interact with the Sloan Digital Sky Survey. We discuss the basic ideas and setup, technical problems encountered, and possible extensions.
Colberg Joerg M.
Connolly Amy
Moore Andrew W.
Scranton Ryan
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