385 citations · 968 across the 23 of their papers we have counts for
Showing 2019Show all
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astro-ph.CO2019★ 71 cited
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…
astro-ph.GA2019★ 4 cited
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…