3 papers
Constraining the astrophysics and cosmology from 21cm tomography using deep learning with the SKA
Sultan Hassan, Sambatra Andrianomena, Caitlin Doughty
Future Square Kilometre Array (SKA) surveys are expected to generate huge datasets of 21cm maps on cosmological scales from the Epoch of Reionization (EoR). We assess the viability…
Classifying galaxies according to their HI content
Sambatra Andrianomena, Mika Rafieferantsoa, Romeel Davé
We use machine learning to classify galaxies according to their HI content, based on both their optical photometry and environmental properties. The data used for our analyses are…
Cosmology with Phase 1 of the Square Kilometre Array; Red Book 2018: Technical specifications and performance forecasts
Square Kilometre Array Cosmology Science Working Group, David J. Bacon, Richard A. Battye +44
We present a detailed overview of the cosmological surveys that will be carried out with Phase 1 of the Square Kilometre Array (SKA1), and the science that they will enable. We hig…