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  Unified radio interferometric calibration and imaging with joint uncertainty quantification

Arras, P., Frank, P., Leike, R., Westermann, R., & Enßlin, T. A. (2019). Unified radio interferometric calibration and imaging with joint uncertainty quantification. Astronomy and Astrophysics, 627: A134. doi:10.1051/0004-6361/201935555.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-7416-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-7417-0
Genre: Journal Article

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Unified radio interferometric calibration and imaging with joint uncertainty quantification.pdf (Any fulltext), 3MB
 
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 Creators:
Arras, Philipp1, Author              
Frank, Philipp1, Author              
Leike, Reimar2, Author              
Westermann, Rüdiger, Author
Enßlin, Torsten A.1, Author              
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1Computational Structure Formation, MPI for Astrophysics, Max Planck Society, ou_2205642              
2Physical Cosmology, MPI for Astrophysics, Max Planck Society, ou_2205644              

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 Abstract: The data reduction procedure for radio interferometers can be viewed as a combined calibration and imaging problem. We present an algorithm that unifies cross-calibration, self-calibration, and imaging. Because it is a Bayesian method, this algorithm not only calculates an estimate of the sky brightness distribution, but also provides an estimate of the joint uncertainty which entails both the uncertainty of the calibration and that of the actual observation. The algorithm is formulated in the language of information field theory and uses Metric Gaussian Variational Inference (MGVI) as the underlying statistical method. So far only direction-independent antenna-based calibration is considered. This restriction may be released in future work. An implementation of the algorithm is contributed as well.

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 Dates: 2019-07-12
 Publication Status: Published online
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 Identifiers: DOI: 10.1051/0004-6361/201935555
Other: LOCALID: 3151919
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Title: Astronomy and Astrophysics
  Other : Astron. Astrophys.
Source Genre: Journal
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Publ. Info: France : EDP Sciences S A
Pages: - Volume / Issue: 627 Sequence Number: A134 Start / End Page: - Identifier: ISSN: 1432-0746
CoNE: https://pure.mpg.de/cone/journals/resource/954922828219_1