3 papers
astro-ph.CO2026
Cosmo-Learn: code for learning cosmology using different methods and mock data
Reginald Christian Bernardo, Daniela Grandón, Jackson Levi Said +3
We present cosmo_learn, an open-source python-based software package designed to simulate cosmological data and perform data-driven inference using a range of modern statistical an…
astro-ph.CO2025
Revealing evolution of Dark Energy density from observations
José Blanco, VÃctor H. Cárdenas, Cuauhtémoc Campuzano
We present a model--independent reconstruction of the normalized dark energy density function, , derived directly from the DES-…
gr-qc2025
Non-geometrical perturbation on homogeneous stealth dust
José Blanco, Cuauhtemoc Campuzano, J. C. Corona-Oran +1
In this work, we study a non-geometrical perturbation to the stealth field, which means the background remains invariant. The stealh is homogeneous in a universe whose source is du…