# Probabilistic image reconstruction for radio interferometers

@article{Sutter2014ProbabilisticIR, title={Probabilistic image reconstruction for radio interferometers}, author={Paul Sutter and Benjamin D. Wandelt}, journal={2014 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)}, year={2014}, pages={1-1} }

We present a novel, general-purpose method for deconvolving and denoising 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 and mode coupling due to the beam. Our method uses Gibbs sampling to efficiently explore the full posterior distribution of the underlying signal image given the data. We use a set of widely diverse mock images with a realistic…

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