The clustering properties of galaxy clusters in the AMICO-KiDS survey: contraints on the cosmological parameters and on the mass-richness relation

In this Thesis work, we present new measurements of the clustering of a photometric sample of galaxy clusters, focusing on the redshift-space 2PCF. The analysed galaxy cluster sample has been built using the Adaptive Matched Identifier of Clustered Objects (AMICO) algorithm (on the Kilo-Degree Survey. We analyse the full catalogue, as well as sub-catalogues selected in mass and redshifts. All these new measurements are compared to theoretical predictions of the standard cosmological framework, finding consistent results. Then, we perform a statistical analysis to extract constraints on the matter density contrast, the amplitude of the density fluctuations, the dark energy equation of state parameter, and the effective bias of the sample. Finally, we present a new method to infer the cluster mass scaling relation from cluster clustering measurements, and provide constraints on the scaling relation normalisation, slope and scatter.