Simulations of Euclid cluster data demonstrate that combining number counts and clustering improves the figure of merit by over 300 percent, with photo-z uncertainties broadening posteriors by 20-30 percent and smaller-scale clustering adding useful information.
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Euclid: Exploring observational systematics in cluster cosmology -- a comprehensive analysis of cluster counts and clustering
Simulations of Euclid cluster data demonstrate that combining number counts and clustering improves the figure of merit by over 300 percent, with photo-z uncertainties broadening posteriors by 20-30 percent and smaller-scale clustering adding useful information.