From the 2 of 5 linked papers with an AI index.
5 papers
Lyman- forest holography: 3D predictions from 1D measurements
J. Chaves-Montero, A. Font-Ribera, J. Aguilar +68
The paper introduces ForestFlow, an emulator that connects one‑dimensional Lyman‑α forest flux power spectrum measurements to three‑dimensional clustering predictions, enabling com…
DESI DR2 Results IV: Alcock-Paczyński Measurements from the Lyman Alpha Forest and Cosmological Constraints
DESI Collaboration, A. G. Adame, J. Aguilar +164
The DESI DR2 analysis measures the Alcock‑Paczynski effect using the full shape of Lyman‑α forest auto‑ and cross‑correlations, achieving 1% precision at redshift 2.33 and providin…
Bayesian analysis of -Starobinsky model with Planck, ACT and DESI data
Karim Carrion, Francisco X. Linares Cedeño, Gabriel Germán +1
We present a joint Bayesian analysis to impose constraints on the generalized -Starobinsky inflationary model using the high-precision cosmological datasets: Planck, CMB lensin…
Accelerating cosmological inference of interacting dark energy with neural emulators
Karim Carrion
The present thesis aims to tackle two critical aspects of present and future cosmological analysis of Large-Scale Structure (LSS): accurate modelling of the nonlinear matter power…
Testing interacting dark energy with Stage IV cosmic shear surveys through differentiable neural emulators
Karim Carrion, Alessio Spurio Mancini, Davide Piras +1
We employ a novel framework for accelerated cosmological inference, based on neural emulators and gradient-based sampling methods, to forecast constraints on dark energy models fro…