Bayesian deep learning for cosmic volumes with modified gravity
Context. The new generation of galaxy surveys will provide unprecedented data that will allow us to test gravity deviations at cosmological scales at a much higher precision than could be achieved previously. A robust cosmological analysis of the large-scale structure demands exploiting the nonlinear information encoded in the cosmic web. Machine
García-Farieta, Jorge Enrique et al.
Fecha de publicación:
4
2024