12 citations · 13 across the 9 of their papers we have counts for
3 papers · 1 filter
A Gigaparsec-Scale Hydrodynamic Volume Reconstructed with Deep Learning
Cooper Jacobus, Roger de Belsunce, Solene Chabanier +4
The next generation of cosmological spectroscopic sky surveys will probe the distribution of matter across several Gigaparsecs (Gpc) or many billion light-years. In order to levera…
Reconstructing Lyman- Fields from Low-Resolution Hydrodynamical Simulations with Deep Learning
Cooper Jacobus, Peter Harrington, Zarija Lukić
Hydrodynamical cosmological simulations are a powerful tool for accurately predicting the properties of the intergalactic medium (IGM) and for producing mock skies that can be comp…
Snowmass 2021 CMB-S4 White Paper
Kevork Abazajian, Arwa Abdulghafour, Graeme E. Addison +353
This Snowmass 2021 White Paper describes the Cosmic Microwave Background Stage 4 project CMB-S4, which is designed to cross critical thresholds in our understanding of the origin a…