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Proceedings Paper

Bayesian model selection for spatial clustering in 3D surveys
Author(s): Fionn D. Murtagh; C. Donalek; Giuseppe Longo; Roberto Tagliaferri
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Paper Abstract

In this preliminary work on galaxy clustering, we study clusters of arbitrary shape using a 3D galaxy catalog (celestial coordinates and photometric redshifts) derived from Sloan Digital Sky Survey Early Release Data. Spatial influence is modeled using a Markov random field. Comparative model assessment is carried out using an approximation to Bayes factors, viz. the posterior odds of a hypothesis of a given number of clusters versus another. We conclude with a discussion of promising future research directions.

Paper Details

Date Published: 19 December 2002
PDF: 11 pages
Proc. SPIE 4847, Astronomical Data Analysis II, (19 December 2002); doi: 10.1117/12.461126
Show Author Affiliations
Fionn D. Murtagh, Queen's Univ. Belfast (United States)
C. Donalek, INAF and Univ. Federico II (Italy)
Giuseppe Longo, Univ. Federico II and INAF (Italy)
Roberto Tagliaferri, Univ. of Salerno and INFM (Italy)


Published in SPIE Proceedings Vol. 4847:
Astronomical Data Analysis II
Jean-Luc Starck; Fionn D. Murtagh, Editor(s)

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