14 citations · 14 across the 4 of their papers we have counts for
5 papers · 1 filter
aim-resolve: Automatic Identification and Modeling for Bayesian Radio Interferometric Imaging
Richard Fuchs, Jakob Knollmüller, Jakob Roth +4
Modern radio interferometers deliver large volumes of data containing high-sensitivity sky maps over wide fields-of-view. These large area observations can contain various and supe…
Bayesian polarization calibration and imaging in very long baseline interferometry
Jong-Seo Kim, Jakob Roth, Jongho Park +6
Extracting polarimetric information from very long baseline interferometry (VLBI) data is demanding but vital for understanding the synchrotron radiation process and the magnetic f…
Bayesian Imaging of Interferometric Data from Polarized Electromagnetic Signals
Philipp Arras, Jakob Roth, Martin Reinecke +4
We present an imaging algorithm for polarimetric interferometric data from radio telescopes. It is based on Bayesian statistics and thereby able to provide uncertainties and to inc…
Bayesian self-calibration and imaging in Very Long Baseline Interferometry
Jong-Seo Kim, Aleksei S. Nikonov, Jakob Roth +5
Self-calibration methods with the CLEAN algorithm have been widely employed in Very Long Baseline Interferometry (VLBI) data processing in order to correct antenna-based amplitude…
Bayesian radio interferometric imaging with direction-dependent calibration
Jakob Roth, Philipp Arras, Martin Reinecke +3
Context: Radio interferometers measure frequency components of the sky brightness, modulated by the gains of the individual radio antennas. Due to atmospheric turbulence and variat…