2.7k citations · 4.5k across the 44 of their papers we have counts for
44 papers
Source Finding and Characterisation for SKAO Science
Sabyasachi Pal, Souvik Manik, M Carmen Toribio +8
The advancements in highly sensitive and powerful radio telescopes, including the Square Kilometre Array Observatory (SKAO) and its precursors, MeerKAT, ASKAP, MWA, and HERA, will…
astromorph: Self-supervised machine learning pipeline for astronomical morphology analysis
Per Bjerkeli, Jouni Kainulainen, Maria Carmen Toribio +2
Modern telescopes generate increasingly large and diverse datasets, often consisting of complex and morphologically rich structures. To efficiently explore such data requires autom…
Implicit inference of the reionization history with higher-order statistics of the 21-cm signal
Nicolas Cerardi, Sambit K. Giri, Michele Bianco +9
The Epoch of Reionization (EoR), when the first luminous sources ionised the intergalactic medium, represents a new frontier in cosmology. The Square Kilometre Array Observatory (S…
Exploring the Early Universe with Deep Learning
Emmanuel de Salis, Massimo De Santis, Davide Piras +9
Hydrogen is the most abundant element in our Universe. The first generation of stars and galaxies produced photons that ionized hydrogen gas, driving a cosmological event known as…
SKA Science Data Challenge 2: analysis and results
P. Hartley, A. Bonaldi, R. Braun +105
The Square Kilometre Array Observatory (SKAO) will explore the radio sky to new depths in order to conduct transformational science. SKAO data products made available to astronomer…
Self-calibration and improving image fidelity for ALMA and other radio interferometers
A. M. S. Richards, E. Moravec, S. Etoka +4
This manual is intended to help ALMA and other interferometer users improve images by recognising limitations and how to overcome them and deciding when and how to use self-calibra…