collaborators

7 papers

astro-ph.CO2026

cloelike: A Python Library for Cosmological Likelihood Inference in the Euclid Era

Marco Bonici, Guadalupe Cañas-Herrera, Pedro Carrilho +16

cloelike is a Python package providing modular, composable Gaussian likelihood classes for the main cosmological large-scale structure observables targeted by the ESA Euclid space…

astro-ph.CO2026

cloelib: A Flexible Python Library for Computing Cosmological Observables in the Euclid Era

Marco Bonici, Guadalupe Cañas-Herrera, Pedro Carrilho +54

cloelib is a Python library developed to compute cosmological observables within the Cosmology Likelihood for Observables in Euclid (CLOE) ecosystem (cloe-org). As cosmology enters…

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

\textit{Euclid} preparation. Baryon acoustic oscillations extraction techniques: comparison and optimisation

Euclid Collaboration, E. Sarpa, A. Veropalumbo +296

We present the first end-to-end validation of the Euclid baryon acoustic oscillation (BAO) analysis pipeline, encompassing density-field reconstruction, two-point correlation funct…

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.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…