Speaker
Description
For galaxy clustering, constraining cosmological parameters using the three-point correlation function, despite being pivotal, has historically been limited by the computational cost of modelling. Here, we introduce a new emulator developed within the framework of a Euclid Preparation Key-Project activity, which substantially accelerates MCMC evaluation. For the first time in a simulation study, we present then constraints on cosmological parameters by combining two- and three-point statistics. As a result, we will also present an overview of the future perspectives and ongoing activities on cosmological parameters inference analyses from lower- and higher-order correlation functions in configuration space focusing on the BAO scale regime as a potential powerful tool to disentangle and investigate cosmological models.
