2 papers
astro-ph.CO2025
Fast End-to-End Framework for Cosmological Parameter Inference from CMB Data Using Machine Learning
Larissa Santos, Camila P. Novaes, Elisa G. M. Ferreira +1
Precise estimation of cosmological parameters from the cosmic microwave background (CMB) remains a central goal of modern cosmology and a key test of inflationary physics. However,…
astro-ph.CO2023
Cosmological constraints from low redshift 21 cm intensity mapping with machine learning
Camila P. Novaes, Eduardo J. de Mericia, Filipe B. Abdalla +5
The future 21 cm intensity mapping observations constitute a promising way to trace the matter distribution of the Universe and probe cosmology. Here we assess its capability for c…