Tracing the Cosmic Origins: Machine Learning Reconstruction of the Primordial Density Field from EoR Observations

arXiv:2609.05412 · astro-ph.CO, astro-ph.IM · Submitted 2026-09-04 · Read on arXiv

astro-ph.CO, astro-ph.IM

Submitted: 2026-09-04

Updated: 2026-09-04

Comments: 18 pages, 13 figures. Submitted to the Monthly Notices of the Royal Astronomical Society (MNRAS)

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Trace — 2× in this paper · explained in 2 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• Simulation-based Inference — 1× in this paper · explained in 2 episodes

Related papers

• Angular clustering and bias of photometric quasars in the Kilo-Degree Survey Data Release 4
• A Novel kinetic Sunyaev-Zel'dovich Estimator for Electron-Electron Correlations
• Magnetic fields at the dawn of structure formation I. The CARLA J1510+5958 proto-cluster
• Dark Energy Survey Year 6 Results: Weak Lensing and Galaxy Clustering Cosmological Analysis Framework
• Exploring the Impact of Systematic Bias in Type Ia Supernova Cosmology Across Diverse Dark Energy Parametrizations
• Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation