We present a new approach to multifrequency synthesis in radio astronomy. Using Bayesian inference techniques, the new technique estimates the sky brightness and the spectral index simultaneously. In principle, the bandwidth of a wide-band observation can be fully exploited for sensitivity and resolution, currently only limited by higher order effects like spectral curvature. Employing this new approach, we further present a multifrequency extension to the imaging algorithm resolv
International audienceThis paper investigates calibration of sensor arrays in the radio astronomy co...
We propose and assess the performance of new imaging techniques for radio interferometry that rely o...
The search for the answer to one of the most fundamental scientific questions, “How was the universe...
We present a new approach to multifrequency synthesis in radio astronomy. Using Bayesian inference t...
Aims. We describe MS-MFS, a multi-scale multi-frequency deconvolution algorithm for wide-band synthe...
Most modern radio telescope arrays observe with wideband receivers to optimise signal-To-noise. Howe...
We present resolve, a new algorithm for radio aperture synthesis imaging of extended and diffuse emi...
This book is open access under a CC BY-NC 4.0 license. The third edition of this indispensable book ...
We explore a new Bayesian method of detecting galaxies from radio interferometric data of the faint ...
We propose the multifrequency synthesis (MFS) algorithm with the spectral correction of frequency-de...
The problem of image reconstruction in radio interferometry is traditionally solved through the appl...
This thesis is concerned with accurate imaging from radio interferometry data and with subsequent an...
The data reduction procedure for radio interferometers can be viewed as a combined calibration and i...
The CLEAN algorithm, widely used in radio interferometry for the deconvolution of radio images, perf...
In radio interferometry, every pair of antennas in an array defines one sampling point in the Fourie...
International audienceThis paper investigates calibration of sensor arrays in the radio astronomy co...
We propose and assess the performance of new imaging techniques for radio interferometry that rely o...
The search for the answer to one of the most fundamental scientific questions, “How was the universe...
We present a new approach to multifrequency synthesis in radio astronomy. Using Bayesian inference t...
Aims. We describe MS-MFS, a multi-scale multi-frequency deconvolution algorithm for wide-band synthe...
Most modern radio telescope arrays observe with wideband receivers to optimise signal-To-noise. Howe...
We present resolve, a new algorithm for radio aperture synthesis imaging of extended and diffuse emi...
This book is open access under a CC BY-NC 4.0 license. The third edition of this indispensable book ...
We explore a new Bayesian method of detecting galaxies from radio interferometric data of the faint ...
We propose the multifrequency synthesis (MFS) algorithm with the spectral correction of frequency-de...
The problem of image reconstruction in radio interferometry is traditionally solved through the appl...
This thesis is concerned with accurate imaging from radio interferometry data and with subsequent an...
The data reduction procedure for radio interferometers can be viewed as a combined calibration and i...
The CLEAN algorithm, widely used in radio interferometry for the deconvolution of radio images, perf...
In radio interferometry, every pair of antennas in an array defines one sampling point in the Fourie...
International audienceThis paper investigates calibration of sensor arrays in the radio astronomy co...
We propose and assess the performance of new imaging techniques for radio interferometry that rely o...
The search for the answer to one of the most fundamental scientific questions, “How was the universe...