5 papers
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…
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…
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…
Euclid preparation. Cosmology Likelihood for Observables in Euclid (CLOE). 2. Code implementation
Euclid Collaboration, S. Joudaki, V. Pettorino +345
We provide a description of the code implementation and structure of Cosmology Likelihood for Observables in Euclid (CLOE), developed by members of the Euclid Consortium. CLOE is a…
The simple way to measure evolving dark energy without prior-volume effects
Maria Tsedrik, Pedro Carrilho, Chiara Moretti
We present a simple yet effective method to resolve prior-volume effects, also known as projection effects, in full-shape analyses of the power spectrum multipoles within the Effec…