Journal Article

PowellSnakes II: a fast Bayesian approach to discrete object detection in multi-frequency astronomical data sets

Pedro Carvalho, Graça Rocha, M. P. Hobson and A. Lasenby

in Monthly Notices of the Royal Astronomical Society

Published on behalf of The Royal Astronomical Society

Volume 427, issue 2, pages 1384-1400
Published in print December 2012 | ISSN: 0035-8711
Published online December 2012 | e-ISSN: 1365-2966 | DOI: http://dx.doi.org/10.1111/j.1365-2966.2012.22033.x
PowellSnakes II: a fast Bayesian approach to discrete object detection in multi-frequency astronomical data sets

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PowellSnakes (PwS) is a Bayesian algorithm for detecting compact objects embedded in a diffuse background, and was selected and successfully employed by the Planck consortium in the production of its first public deliverable: the Early Release Compact Source Catalogue (ERCSC). We present the critical foundations and main directions of further development of PwS, which extend it in terms of formal correctness and the optimal use of all the available information in a consistent unified framework, where no distinction is made between point sources (unresolved objects), Sunyaev–Zel'dovich (SZ) clusters, single- or multi-channel detection. An emphasis is placed on the necessity of a multi-frequency, multi-model detection algorithm in order to achieve optimality.

Keywords: methods: data analysis; cosmology: observations

Journal Article.  15148 words.  Illustrated.

Subjects: Astronomy and Astrophysics

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