2 papers
astro-ph.CO2026
Field-level multi-tracers simulation-based inference of cosmological parameters from 3D maps
Giulio Scelfo, Satvik Mishra, Mauro Rigo +2
Extracting maximum cosmological information from current and upcoming large-scale structure data requires going beyond summary statistics as currently used in likelihood-based infe…
astro-ph.CO2025
JERALD: high-fidelity dark matter, stellar mass and neutral hydrogen maps from fast N-body simulations
Mauro Rigo, Roberto Trotta, Matteo Viel
We present a new code and approach, JERALD -- JAX Enhanced Resolution Approximate Lagrangian Dynamics -- , that improves on and extends the Lagrangian Deep Learning method of Dai &…