5 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)…
Field-level weak lensing cosmology with simulations using multifidelity simulation-based inference
Alex A. Saoulis, Kiyam Lin, Niall Jeffrey +5
We perform a realistic KiDS-Legacy mock analysis with field-level neural compression and simulation-based inference using fewer than 100 -body simulations. The weak lensing shea…
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…
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…