After his bachelor’s degree in Physics and the Master’s degree in Astronomy and Astrophysics at the University of Rome La Sapienza, Davide Sciotti started his PhD thesis on assessing the constraints on the cosmological parameters from the Euclid photometric survey. In particular, he investigated the impact of one of the non-Gaussian contributions to the total data covariance matrix, super-sample covariance, on weak lensing and galaxy clustering signals and their cross-correlation. Davide also helped investigate the impact of various choices of scale cuts, focusing on the Dark Energy figure of merit, one of the main metrics used to gauge the scientific potential of the Euclid mission in confuting or confirming competing cosmological models.
Title: Forecasting Cosmological Parameters from the Euclid mission
Abstract:I will detail my work in the context of ESA's Euclid mission, with a particular focus on the analytical modeling and impact of the data covariance matrix.