Abstract
This project aims to deepen the student's knowledge of cosmology and computational methods, applying them to fitting models. This includes studying the physics of Cepheids, dark energy, and other structures of the Universe, as well as Bayesian statistics and Monte Carlo methods via Markov chains. The main objective will be to adapt likelihood codes using data collected by the SH0ES and DE…