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20112023
most citedUncertainty quantification for radio interferometric imaging: I. proximal MCMC methods

78 citations · 290 across the 25 of their papers we have counts for

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5 papers · 1 filter

astro-ph.IM2020

Offline and online reconstruction for radio interferometric imaging

Xiaohao Cai, Luke Pratley, Jason D. McEwen

Radio astronomy is transitioning to a big-data era due to the emerging generation of radio interferometric (RI) telescopes, such as the Square Kilometre Array (SKA), which will acq…

astro-ph.IM2019★ 2 cited

Distributed and parallel sparse convex optimization for radio interferometry with PURIFY

Luke Pratley, Jason D. McEwen, Mayeul d'Avezac +4

Next generation radio interferometric telescopes are entering an era of big data with extremely large data sets. While these telescopes can observe the sky in higher sensitivity an…

astro-ph.IM2017★ 1 cited

Online radio interferometric imaging: assimilating and discarding visibilities on arrival

Xiaohao Cai, Luke Pratley, Jason D. McEwen

The emerging generation of radio interferometric (RI) telescopes, such as the Square Kilometre Array (SKA), will acquire massive volumes of data and transition radio astronomy to a…

astro-ph.IM2017★ 44 cited

Uncertainty quantification for radio interferometric imaging: II. MAP estimation

Xiaohao Cai, Marcelo Pereyra, Jason D. McEwen

Uncertainty quantification is a critical missing component in radio interferometric imaging that will only become increasingly important as the big-data era of radio interferometry…

astro-ph.IM2017★ 78 cited

Uncertainty quantification for radio interferometric imaging: I. proximal MCMC methods

Xiaohao Cai, Marcelo Pereyra, Jason D. McEwen

Uncertainty quantification is a critical missing component in radio interferometric imaging that will only become increasingly important as the big-data era of radio interferometry…