Bayesian modelling of clusters of galaxies from multifrequency-pointed Sunyaev–Zel'dovich observations

• Published in: Monthly notices of the Royal Astronomical Society Vol. 398; no. 4; pp. 2049 - 2060
• Main Authors: Feroz, Farhan, Hobson, Michael P., Zwart, Jonathan T. L., Saunders, Richard D. E., Grainge, Keith J. B.
• Format: Journal Article
• Language: English
• Published: Oxford, UK Blackwell Publishing Ltd 01.10.2009; Wiley-Blackwell; Oxford University Press
• Subjects: Astronomy; Bayesian analysis; Cosmic background radiation; cosmic microwave background; cosmology: observations; Earth, ocean, space; Exact sciences and technology; galaxies: clusters: general; methods: data analysis; methods: statistical; Stars & galaxies; cosmic microwave background; methods: statistical; galaxies: clusters: general; cosmology: observations; methods: data analysis; Data analysis; Parameter estimation; Cosmic background radiation; Galaxy clusters; Statistical method; Algorithms; Sunyaev Zeldovich effect; Cosmic radio sources; Cosmology; Models; Point radiosource

We present a Bayesian approach to modelling galaxy clusters using multi-frequency pointed observations from telescopes that exploit the Sunyaev–Zel'dovich effect. We use the recently developed multinest technique to explore the high-dimensional parameter spaces and also to calculate the Bayesia...