101 citations · 493 across the 21 of their papers we have counts for
22 papers
A distributed resource-adaptive implementation of the widefield radio-interferometric measurement model for scalable image formation
Arwa Dabbech, Yves Wiaux
Modern image formation algorithms in radio interferometry rely on repeated applications of the operator Φ modelling the measurement process and its adjoint {Phi^\dagger} to enforce…
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…
Toward a Robust R2D2 Paradigm for Radio-interferometric Imaging: Revisiting Deep Neural Network Training and Architecture
Amir Aghabiglou, Chung San Chu, Chao Tang +2
The R2D2 Deep Neural Network (DNN) series was recently introduced for image formation in radio interferometry. It can be understood as a learned version of CLEAN, whose minor cycle…
The R2D2 deep neural network series paradigm for fast precision imaging in radio astronomy
Amir Aghabiglou, Chung San Chu, Arwa Dabbech +1
Radio-interferometric (RI) imaging entails solving high-resolution high-dynamic range inverse problems from large data volumes. Recent image reconstruction techniques grounded in o…
R2D2 image reconstruction with model uncertainty quantification in radio astronomy
Amir Aghabiglou, Chung San Chu, Arwa Dabbech +1
The ``Residual-to-Residual DNN series for high-Dynamic range imaging'' (R2D2) approach was recently introduced for Radio-Interferometric (RI) imaging in astronomy. R2D2's reconstru…
CLEANing Cygnus A deep and fast with R2D2
Arwa Dabbech, Amir Aghabiglou, Chung San Chu +1
A novel deep learning paradigm for synthesis imaging by radio interferometry in astronomy was recently proposed, dubbed "Residual-to-Residual DNN series for high-Dynamic range imag…
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…
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.…
Image reconstruction algorithms in radio interferometry: from handcrafted to learned regularization denoisers
Matthieu Terris, Arwa Dabbech, Chao Tang +1
We introduce a new class of iterative image reconstruction algorithms for radio interferometry, at the interface of convex optimization and deep learning, inspired by plug-and-play…
Cygnus A jointly calibrated and imaged via non-convex optimisation from VLA data
Arwa Dabbech, Audrey Repetti, Rick A. Perley +2
Radio interferometric (RI) data are noisy under-sampled spatial Fourier components of the unknown radio sky affected by direction-dependent antenna gains. Failure to model these an…
Parallel faceted imaging in radio interferometry via proximal splitting (Faceted HyperSARA): I. Algorithm and simulations
Pierre-Antoine Thouvenin, Abdullah Abdulaziz, Arwa Dabbech +2
Upcoming radio interferometers are aiming to image the sky at new levels of resolution and sensitivity, with wide-band image cubes reaching close to the Petabyte scale for SKA. Mod…
Wideband Super-resolution Imaging in Radio Interferometry via Low Rankness and Joint Average Sparsity Models (HyperSARA)
Abdullah Abdulaziz, Arwa Dabbech, Yves Wiaux
We propose a new approach within the versatile framework of convex optimization to solve the radio-interferometric wideband imaging problem. Our approach, dubbed HyperSARA, solves…
Cygnus A super-resolved via convex optimisation from VLA data
Arwa Dabbech, Alexandru Onose, Abdullah Abdulaziz +3
We leverage the Sparsity Averaging Reweighted Analysis (SARA) approach for interferometric imaging, that is based on convex optimisation, for the super-resolution of Cyg A from obs…
Robust dimensionality reduction for interferometric imaging of Cygnus A
S. Vijay Kartik, Arwa Dabbech, Jean-Philippe Thiran +1
Extremely high data rates expected in next-generation radio interferometers necessitate a fast and robust way to process measurements in a big data context. Dimensionality reductio…
The w-effect in interferometric imaging: from a fast sparse measurement operator to super-resolution
Arwa Dabbech, Laura Wolz, Luke Pratley +2
Modern radio telescopes, such as the Square Kilometre Array (SKA), will probe the radio sky over large fields-of-view, which results in large w-modulations of the sky image. This e…
Non-convex optimization for self-calibration of direction-dependent effects in radio interferometric imaging
Audrey Repetti, Jasleen Birdi, Arwa Dabbech +1
Radio interferometric imaging aims to estimate an unknown sky intensity image from degraded observations, acquired through an antenna array. In the theoretical case of a perfectly…
An accelerated splitting algorithm for radio-interferometric imaging: when natural and uniform weighting meet
Alexandru Onose, Arwa Dabbech, Yves Wiaux
Next generation radio-interferometers, like the Square Kilometre Array, will acquire tremendous amounts of data with the goal of improving the size and sensitivity of the reconstru…
Non-thermal emission from galaxy clusters: feasibility study with SKA1
Chiara Ferrari, Arwa Dabbech, Oleg Smirnov +20
Galaxy clusters are known to host a variety of extended radio sources: tailed radio galaxies whose shape is modelled by the interaction with the intra-cluster medium (ICM); radio b…
MORESANE: MOdel REconstruction by Synthesis-ANalysis Estimators. A sparse deconvolution algorithm for radio interferometric imaging
Arwa Dabbech, Chiara Ferrari, David Mary +3
(arXiv abridged abstract) The current years are seeing huge developments of radio telescopes and a tremendous increase of their capabilities. Such systems make mandatory the design…
Radio Continuum Surveys with Square Kilometre Array Pathfinders
Ray P. Norris, J. Afonso, D. Bacon +48
In the lead-up to the Square Kilometre Array (SKA) project, several next-generation radio telescopes and upgrades are already being built around the world. These include APERTIF (T…