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Foreground modelling via Gaussian process regression: an application to HERA data
(Oxford University Press, 2020)
The key challenge in the observation of the redshifted 21-cm signal from cosmic reionization is its separation from the much brighter foreground emission. Such separation relies on the different spectral properties of the ...
Constraining the astrophysics and cosmology from 21 cm tomography using deep learning with the SKA
(Oxford University Press, 2020)
Future Square Kilometre Array (SKA) surveys are expected to generate huge data sets of 21 cm maps on cosmological scales from the Epoch of Reionization. We assess the viability of exploiting machine learning techniques, ...