3 papers
astro-ph.IM2026
Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization
Anshuman Acharya, Michele Bianco, Daniela Breitman +18
When operational, the SKA will generate unprecedented amounts of data and provide exquisite sensitivity for 21 cm tomography of Cosmic Dawn (CD) and the Epoch of Reionization (EoR)…
astro-ph.CO2025
How to evaluate the sufficiency and complementarity of summary statistics for cosmic fields: an information-theoretic perspective
Ce Sui, Yi Mao, Xiaosheng Zhao +2
The advent of increasingly advanced surveys and cosmic tracers has motivated the development of new inference techniques and novel approaches to extracting information from cosmic…
astro-ph.IM2025
Likelihood-free Model Selection in Cosmic Reionization with Three-dimensional Tomographic 21 cm Lightcone Images
T. Binnie, Xiaosheng Zhao, J. R. Pritchard +1
We explore likelihood-free (aka simulation-based) Bayesian model selection to quantify model comparison analyses of reionisation scenarios. We iteratively train the 3D Convolutiona…