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}
}
  • P. Sutter, B. Wandelt
  • Published 5 September 2013
  • Computer Science
  • 2014 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)
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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