36 citations · 88 across the 7 of their papers we have counts for
7 papers
HyperAIRI: a plug-and-play algorithm for precise hyperspectral image reconstruction in radio interferometry
Chao Tang, Arwa Dabbech, Adrian Jackson +1
The next-generation radio-interferometric (RI) telescopes require imaging algorithms capable of forming high-resolution high-dynamic-range images from large data volumes spanning w…
The AIRI plug-and-play algorithm for image reconstruction in radio-interferometry: variations and robustness
Matthieu Terris, Chao Tang, Adrian Jackson +1
Plug-and-Play (PnP) algorithms are appealing alternatives to proximal algorithms when solving inverse imaging problems. By learning a Deep Neural Network (DNN) denoiser behaving as…
Scalable precision wide-field imaging in radio interferometry: II. AIRI validated on ASKAP data
Amanda G. Wilber, Arwa Dabbech, Matthieu Terris +2
Accompanying Part I, this sequel delineates a validation of the recently proposed AI for Regularisation in radio-interferometric Imaging (AIRI) algorithm on observations from the A…
Scalable precision wide-field imaging in radio interferometry: I. uSARA validated on ASKAP data
Amanda G. Wilber, Arwa Dabbech, Adrian Jackson +1
As Part I of a paper series showcasing a new imaging framework, we consider the recently proposed unconstrained Sparsity Averaging Reweighted Analysis (uSARA) optimisation algorith…
Deep network series for large-scale high-dynamic range imaging
Amir Aghabiglou, Matthieu Terris, Adrian Jackson +1
We propose a new approach for large-scale high-dynamic range computational imaging. Deep Neural Networks (DNNs) trained end-to-end can solve linear inverse imaging problems almost…
Parallel faceted imaging in radio interferometry via proximal splitting (Faceted HyperSARA): II. Code and real data proof of concept
Pierre-Antoine Thouvenin, Arwa Dabbech, Ming Jiang +4
In a companion paper, a faceted wideband imaging technique for radio interferometry, dubbed Faceted HyperSARA, has been introduced and validated on synthetic data. Building on the…
First AI for deep super-resolution wide-field imaging in radio astronomy: unveiling structure in ESO 137--006
Arwa Dabbech, Matthieu Terris, Adrian Jackson +3
We introduce the first AI-based framework for deep, super-resolution, wide-field radio-interferometric imaging, and demonstrate it on observations of the ESO~137-006 radio galaxy.…