activity
20152020
most citedBayesian Inference for Radio Observations

26 citations · 71 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2020★ 5 cited

A probabilistic approach to phase calibration: I. Effects of source structure on fringe-fitting

Iniyan Natarajan, Roger Deane, Ilse van Bemmel +6

We propose a probabilistic framework for performing simultaneous estimation of source structure and fringe-fitting parameters in Very Long Baseline Interferometry (VLBI) observatio…

astro-ph.IM2016★ 16 cited

Resolving the blazar CGRaBS J0809+5341 in the presence of telescope systematics

Iniyan Natarajan, Zsolt Paragi, Jonathan Zwart +3

We analyse Very Long Baseline Interferometry (VLBI) observations of the blazar CGRaBS J0809+5341 using Bayesian inference methods. The observation was carried out at 5 GHz using 8…

astro-ph.IM2015

Bayesian Inference for Radio Observations - Going beyond deconvolution

Michelle Lochner, Bruce A. Bassett, Martin Kunz +4

Radio interferometers suffer from the problem of missing information in their data, due to the gaps between the antennas. This results in artifacts, such as bright rings around sou…

cs.DC2015★ 24 cited

Montblanc: GPU accelerated Radio Interferometer Measurement Equations in support of Bayesian Inference for Radio Observations

Simon Perkins, Patrick Marais, Jonathan Zwart +3

We present Montblanc, a GPU implementation of the Radio interferometer measurement equation (RIME) in support of the Bayesian inference for radio observations (BIRO) technique. BIR…

astro-ph.IM2015★ 26 cited

Bayesian Inference for Radio Observations

Michelle Lochner, Iniyan Natarajan, Jonathan T. L. Zwart +4

New telescopes like the Square Kilometre Array (SKA) will push into a new sensitivity regime and expose systematics, such as direction-dependent effects, that could previously be i…