activity
20242026
collaborators

8 papers

astro-ph.CO2026

On the cosmology dependence of the cluster weak-lensing mass bias

S. Bocquet, A. Fumagalli, C. T. Davies +3

Measurements of the shear induced by weak gravitational lensing around galaxy cluster lines of sight are the gold standard for calibrating cluster observable-mass relations, thereb…

astro-ph.CO2026

Euclid preparation. XCVI. Cosmology Likelihood for Observables in Euclid (CLOE). 3. Inference and Forecasts

Euclid Collaboration, G. Cañas-Herrera, L. W. K. Goh +337

The Euclid mission aims to measure the positions, shapes, and redshifts of over a billion galaxies to provide unprecedented constraints on the nature of dark matter and dark energy…

astro-ph.CO2026

Testing template-fitting models for the multipoles of the two-point clustering of galaxy clusters

Euclid Collaboration, E. Tsaprazi, A. Fumagalli +274

The \textit{Euclid} satellite will deliver a catalogue of optically-selected galaxy clusters spanning from around deg in Data Release (DR) 1 to around deg

astro-ph.CO2026

Euclid: The linear-construction covariance and cosmology

V. Lindholm, E. Sihvola, J. Valiviita +137

We study the properties of galaxy cluster 2-point correlation function covariance matrices estimated using the linear-construction (LC) method, which is computationally up to 20 ti…

astro-ph.CO2025

Euclid: Exploring observational systematics in cluster cosmology -- a comprehensive analysis of cluster counts and clustering

A. Fumagalli, M. Costanzi, T. Castro +168

This study explores the impact of observational and modelling systematic effects on cluster number counts and cluster clustering and provides model prescriptions for their joint an…

astro-ph.CO2025

Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 6: Impact of systematic uncertainties on the cosmological analysis

Euclid Collaboration, L. Blot, K. Tanidis +309

Extracting cosmological information from the Euclid galaxy survey will require modelling numerous systematic effects during the inference process. This implies varying a large numb…