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Paper: MaxBCG: The Importance of Database Systems for the Virtual Observatory and the Grid
Volume: 347, Astronomical Data Analysis Software and Systems XIV
Page: 233
Authors: Nieto-Santisteban, M.A.; Szalay, A.S.; Thakar, A.R.; O'Mullane, W.; Gray, J.; Annis, J.
Abstract: The Maximum-likelihood Brightest Cluster Galaxy algorithm, MaxBCG, finds galaxy clusters within the Sloan Digital Sky Survey (SDSS). We have coded a SQL version of the algorithm and compared the performance with an earlier Tcl-C-file-based implementation. The SQL database implementation runs 20 to 40 times faster. Our prototype and tests illustrate the benefits of combining computing clusters and database systems for data-intensive astronomical applications. Taking a step further, we extend our clustering conception to grid environments.
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