Bayesian Model Selection for Spatial Clustering in 3D Surveys

F. Murtagh, C. Donalek, G. Longo, R. Tagliaferri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationAstronomical Data Analysis II
EditorsJean-Luc Starck, Fionn D. Murtagh
PublisherSPIE
Pages391-401
Number of pages11
Volume4847
DOIs
Publication statusPublished - 19 Dec 2002
Externally publishedYes
EventAstronomical Telescopes and Instrumentation - Waikoloa, United States
Duration: 22 Aug 200228 Aug 2002
Conference number: 2

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
Volume4847
ISSN (Print)0277-786X

Conference

ConferenceAstronomical Telescopes and Instrumentation
CountryUnited States
CityWaikoloa
Period22/08/0228/08/02

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Murtagh, F., Donalek, C., Longo, G., & Tagliaferri, R. (2002). Bayesian Model Selection for Spatial Clustering in 3D Surveys. In J-L. Starck, & F. D. Murtagh (Eds.), Astronomical Data Analysis II (Vol. 4847, pp. 391-401). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 4847). SPIE. https://doi.org/10.1117/12.461126