128 citations · 501 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
Simultaneously constraining cosmology and baryonic physics via deep learning from weak lensing
Tianhuan Lu, Zoltán Haiman, José Manuel Zorrilla Matilla
Ongoing and planned weak lensing (WL) surveys are becoming deep enough to contain information on angular scales down to a few arcmin. To fully extract information from these small…
Cosmological Constraints from Weak Lensing Peaks: Can Halo Models Accurately Predict Peak Counts?
Alina Sabyr, Zoltán Haiman, José Manuel Zorrilla Matilla +1
In order to extract full cosmological information from next-generation large and high-precision weak lensing (WL) surveys (e.g. Euclid, Roman, LSST), higher-order statistics that p…