55 citations · 158 across the 26 of their papers we have counts for
11 papers · 1 filter
Forecasting the occupancy of satellite megaconstellations in SKA observations
Nicolas Cerardi, Emma Tolley, Federico di Vruno
The Square Kilometre Array (SKA) is expected to start science operations in 2030 and by that time there could be up to 10 artificial satellites in Earth's orbit, comprising an…
A targeted machine learning approach for detecting diffuse radio emission with Astronomaly: Protege
Verlon Etsebeth, Michelle Lochner, Konstantinos Kolokythas +2
Diffuse radio emission in galaxy clusters, such as radio halos, relics, and mini halos, is a key tracer of non-thermal processes, turbulence, and magnetic fields within the intra-c…
Radio-Interferometric Image Reconstruction with Denoising Diffusion Restoration Models
Michel Morales, Emma Tolley, Remi Poitevineau
Reconstructing images of the radio sky from incomplete Fourier information is a key challenge in radio astronomy. In this work, we present a method for radio interferometric image…
S-R2D2: a spherical extension of the R2D2 deep neural network series paradigm for wide-field radio-interferometric imaging
A. Tajja, A. Aghabiglou, E. Tolley +3
Recently, the R2D2 paradigm, standing for ''Residual-to-Residual DNN series for high-Dynamic-range imaging'', was introduced for image formation in Radio Interferometry (RI) as a l…
Wavelet Scattering Networks for Identifying Radio Galaxy Morphologies
Emma Tolley
Classifying the morphologies of radio galaxies is important to understand their physical properties and evolutionary histories. A galaxy's morphology is often determined by visual…
Quantum Radio Astronomy: Data Encodings and Quantum Image Processing
Thomas Brunet, Emma Tolley, Stefano Corda +3
We explore applications of quantum computing for radio interferometry and astronomy using recent developments in quantum image processing. We evaluate the suitability of different…