Probabilistic image reconstruction for radio interferometers

We present a novel, general-purpose method for deconvolving and denoizing images from gridded radio interferometric visibilities using Bayesian inference based on a Gaussian process model. The method automatically takes into account incomplete coverage of the uv-plane, signal mode coupling due to th...

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Veröffentlicht in:	Monthly notices of the Royal Astronomical Society 2014, Vol.438 (1), p.768-778
Hauptverfasser:	Sutter, P. M., Wandelt, Benjamin D., McEwen, Jason D., Bunn, Emory F., Karakci, Ata, Korotkov, Andrei, Timbie, Peter, Tucker, Gregory S., Zhang, Le
Format:	Artikel
Sprache:	eng
Schlagworte:	Astrophysics Bayesian analysis Interferometry Radio astronomy Sciences of the Universe Signal to noise ratio
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