collaborators

7 papers

astro-ph.CO2026

Euclid preparation: Testing multi-field inflation with galaxy power spectrum and bispectrum

Euclid Collaboration, D. Linde, A. Moradinezhad Dizgah +281

Primordial non-Gaussianity (PNG) is a powerful probe of the origin of cosmic structure. Stage-IV surveys like \Euclid will measure galaxy - and -point clustering at high sign…

astro-ph.CO2026

Euclid preparation. Galaxy power spectrum modelling in redshift space

Euclid Collaboration, B. Camacho Quevedo, M. Crocce +292

Accurate modelling of redshift-space distortions (RSD) is essential for maximizing the cosmological information extracted from large galaxy redshift surveys. In preparation for the…

astro-ph.CO2026

Euclid preparation. Galaxy 2-point correlation function modelling in redshift space

Euclid Collaboration, M. Kärcher, M. -A. Breton +309

The Euclid satellite will measure spectroscopic redshifts for tens of millions of emission-line galaxies. In the context of Stage-IV surveys, the 3-dimensional clustering of galaxi…

astro-ph.CO2025

Euclid preparation. XLI. Galaxy power spectrum modelling in real space

Euclid Collaboration, A. Pezzotta, C. Moretti +246

We investigate the accuracy of the perturbative galaxy bias expansion in view of the forthcoming analysis of the Euclid spectroscopic galaxy samples. We compare the performance of…

astro-ph.CO2025

Euclid preparation. Full-shape modelling of 2-point and 3-point correlation functions in real space

Euclid Collaboration, M. Guidi, A. Veropalumbo +308

We investigate the accuracy and range of validity of the perturbative model for the 2-point (2PCF) and 3-point (3PCF) correlation functions in real space in view of the forthcoming…

astro-ph.CO2025

Euclid preparation LXIII. Simulations and nonlinearities beyond CDM. 2. Results from non-standard simulations

Euclid Collaboration, G. Rácz, M. -A. Breton +275

The Euclid mission will measure cosmological parameters with unprecedented precision. To distinguish between cosmological models, it is essential to generate realistic mock observa…