Speaker
Description
The Euclid mission is designed to map the geometry and growth of structure in the Universe with unprecedented precision. As part of this effort, galaxy clusters serve as a crucial probe for constraining cosmological parameters, thanks to their sensitivity to both the expansion history and the growth of cosmic structures.
In preparation for the exploitation of Euclid’s cluster samples, extensive work has been carried out on simulations. I will discuss key aspects of this preparatory effort, including likelihood modelling, the mass function, bias calibration, and the selection function, all of which are essential for robust cosmological constraints. These studies provide a solid foundation for the analysis of the first Euclid data.
With the first Euclid data release (Q1), the Galaxy Cluster working group has now begun detecting and characterising clusters, marking the first step towards precise cosmological measurements. I will present these initial results and discuss the challenges and next steps in harnessing Euclid’s full potential for cluster cosmology.
