36 citations · 102 across the 8 of their papers we have counts for
10 papers
Robust marginalization of baryonic effects for cosmological inference at the field level
Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar +11
We train neural networks to perform likelihood-free inference from 2D maps containing the total mass surface density from thousands of hydrodynamic simula…
Multifield Cosmology with Artificial Intelligence
Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar, Shy Genel +10
Astrophysical processes such as feedback from supernovae and active galactic nuclei modify the properties and spatial distribution of dark matter, gas, and galaxies in a poorly und…
The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations
Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar, Shy Genel +19
We present the Cosmology and Astrophysics with MachinE Learning Simulations --CAMELS-- project. CAMELS is a suite of 4,233 cosmological simulations of volu…
Can galaxy evolution mimic cosmic reionization?
Sultan Hassan, Max Gronke
Lyman- (Ly) emitting galaxies are powerful tools to probe the late stages of cosmic reionization. The observed sudden drop in Ly fraction at is often interpreted as…
Constraining the reionization history using deep learning from 21cm tomography with the Square Kilometre Array
Tumelo Mangena, Sultan Hassan, Mario G. Santos
Upcoming 21cm surveys with the SKA1-LOW telescope will enable imaging of the neutral hydrogen distribution on cosmological scales in the early Universe. These surveys are expected…
Testing Galaxy Formation Simulations with Damped Lyman- Abundance and Metallicity Evolution
Sultan Hassan, Kristian Finlator, Romeel Davé +2
We examine the properties of damped Lyman- absorbers (DLAs) emerging from a single set of cosmological initial conditions in two state-of-the-art cosmological hydrodynamic simul…