Carvalho, Pedro and Rocha, Graça and Hobson, M. P. and Lasenby, A. (2012) PowellSnakes II: a fast Bayesian approach to discrete object detection in multi-frequency astronomical data sets. Monthly Notices of the Royal Astronomical Society, 427 (2). pp. 1384-1400. ISSN 0035-8711. https://resolver.caltech.edu/CaltechAUTHORS:20121221-112654356
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Abstract
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.
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| Additional Information: | © 2012 The Authors. Monthly Notices of the Royal Astronomical Society © 2012 RAS. Accepted 2012 September 2. Received 2012 September 2; in original form 2011 December 21. Article first published online: 19 Nov. 2012. PC thanks all his colleagues at the AstrophysicsGroup of Cavendish laboratory and the KICC, and his fellow members of the Planck consortium for their help in completing PwS. In particular, special thanks go to Paulo Marques (code porting), Farhan Feroz and Philip Graff for their insightful contributions and discussions. PC is supported by a Portuguese fellowship (ref: SFRH/BD/42366/2007) from the Fundac¸ ˜ao para a Ciˆencia e Tecnologia (FCT). GR gratefully acknowledges support by the NASA Science Mission Directorate via the US Planck Project. The research described in this paper was partially carried out at the Jet propulsion Laboratory, California Institute of Technology, under a contract with NASA. | |||||||||
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| Subject Keywords: | methods: data analysis; cosmology: observations | |||||||||
| Issue or Number: | 2 | |||||||||
| Record Number: | CaltechAUTHORS:20121221-112654356 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20121221-112654356 | |||||||||
| Official Citation: | Carvalho, P., Rocha, G., Hobson, M. P. and Lasenby, A. (2012), PowellSnakes II: a fast Bayesian approach to discrete object detection in multi-frequency astronomical data sets. Monthly Notices of the Royal Astronomical Society, 427: 1384–1400. doi: 10.1111/j.1365-2966.2012.22033.x | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 36099 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | Jason Perez | |||||||||
| Deposited On: | 02 Jan 2013 15:34 | |||||||||
| Last Modified: | 09 Mar 2020 13:19 |
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