4 citations · 4 across the 1 of their papers we have counts for
3 papers
Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization
Anshuman Acharya, Michele Bianco, Daniela Breitman +18
When operational, the SKA will generate unprecedented amounts of data and provide exquisite sensitivity for 21 cm tomography of Cosmic Dawn (CD) and the Epoch of Reionization (EoR)…
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…
CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum
Davide Piras, Laura Herold, Luisa Lucie-Smith +1
Finding the best parametrization for cosmological models in the absence of first-principle theories is an open question. We propose a data-driven parametrization of cosmological mo…