3 citations · 4 across the 4 of their papers we have counts for
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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.CO2024
Classifying Modified Gravity and Dark Energy Theories with Bayesian Neural Networks: Massive Neutrinos, Baryonic Feedback, and the Theoretical Error
L. Thummel, B. Bose, A. Pourtsidou +1
We study the capacity of Bayesian Neural Networks (BNNs) to detect new physics in the dark matter power spectrum. As in previous studies, the Bayesian Cosmological Network (BaCoN)…