Orateur
Description
The Euclid satellite is designed to make accurate measurements of weak lensing and galaxy clustering for the purpose of probing structure formation over half of the age of the Universe. However, spatial variations in the Euclid survey and instrumental properties, as well as on the foreground sky emission, can affect photometric galaxy clustering and bias cosmological results. To correct for these systematic effects, we have developed a self-organising map (SOM) algorithm based on the KIDS collaboration's previous work. This algorithm enables us to produce Self-Organised Randoms (SORs) that mimic the systematic contribution. We will present the algorithm's main characteristics and discuss its performance in realistic simulations of Euclid observations.