A speedy pixon image reconstruction algorithm

Abstract

A speedy pixon algorithm for image reconstruction is described. Two applications of the method to simulated astronomical data sets are also reported. In one case, galaxy clusters are extracted from multiwavelength microwave sky maps using the spectral dependence of the Sunyaev-Zel'dovich effect to distinguish them from the microwave background fluctuations and the instrumental noise. The second example involves the recovery of a sharply peaked emission profile, such as might be produced by a galaxy cluster observed in X-rays. These simulations show the ability of the technique both to detect sources in low signal-to-noise data and to deconvolve a telescope beam in order to recover the internal structure of a source.

12 pages, 5 figures, submitted to MNRAS

References in corpus (4)

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• Foreground separation methods for satellite observations of the cosmic microwave background
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• Skymapping with OSSE via the Mean Field Annealing Pixon Technique

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