SDSS-RASS: Next Generation of Cluster-Finding Algorithms.

Nichol, Robert C., Miller, Chris, Connolly, Andy J, Chong, Shan-Shong, Genovese, Chris, Moore, Andrew W, Reichart, Daniel, Schneider, Jeff, Wasserman, Larry, Annis, Jim, Brinkman, John, Böhringer, Hans, Castander, Francisco, McKay, Tim, Postman, Marc, Sheldon, Erin, Szapudi, Istvan, Romer, Kathy and Voges, Wolfgang (2001) SDSS-RASS: Next Generation of Cluster-Finding Algorithms. In: Mining the Sky: Proceedings of the MPA/ESO/MPE Workshop. ESO ASTROPHYSICS SYMPOSIA, July 31 - August 4, 2000., Held at Garching, Germany..

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Abstract

We outline here the next generation of cluster-finding algorithms. We show how advances in Computer Science and Statistics have helped develop robust, fast algorithms for finding clusters of galaxies in large multi-dimensional astronomical databases like the Sloan Digital Sky Survey (SDSS). Specifically, this paper presents four new advances: (1) A new semi-parametric algorithm - nicknamed "C4" - for jointly finding clusters of galaxies in the SDSS and ROSAT All-Sky Survey databases; (2) The introduction of the False Discovery Rate into Astronomy; (3) The role of kernel shape in optimizing cluster detection; (4) A new determination of the X-ray Cluster Luminosity Function which has bearing on the existence of a "deficit" of high redshift, high luminosity clusters. This research is part of our "Computational AstroStatistics" collaboration (see Nichol et al. 2000) and the algorithms and techniques discussed herein will form part of the "Virtual Observatory" analysis toolkit.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Chong, Shan-Shong; Genovese, Chris; Moore, Andrew W.; Reichart, Daniel; Schneider, Jeff; Wasserman, Larry; Annis, Jim; Brinkman, John; Böhringer, Hans; Castander, Francisco; McKay, Tim; Postman, Marc; Sheldon, Erin; Szapudi, Istvan; Voges, Wolfgang
Schools and Departments: School of Mathematical and Physical Sciences > Physics and Astronomy
Depositing User: EPrints Services
Date Deposited: 06 Feb 2012 20:25
Last Modified: 30 Mar 2012 11:08
URI: http://sro.sussex.ac.uk/id/eprint/25884
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