1.1k citations · 1.5k across the 8 of their papers we have counts for
20 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…
Neutral CGM as damped Lyα absorbers at high redshift
Jonathan Stern, Amiel Sternberg, Claude-André Faucher-Giguère +8
Recent searches for the hosts of high-redshift () damped Ly absorbers (DLAs) have detected bright galaxies at distances of tens of kpc from the DLA. Using the FIRE-2 c…
Characterizing mass, momentum, energy and metal outflow rates of multi-phase galactic winds in the FIRE-2 cosmological simulations
Viraj Pandya, Drummond B. Fielding, Daniel Anglés-Alcázar +14
We characterize mass, momentum, energy and metal outflow rates of multi-phase galactic winds in a suite of FIRE-2 cosmological "zoom-in" simulations from the Feedback in Realistic…
Seeds Don't Sink: Even Massive Black Hole "Seeds" Cannot Migrate to Galaxy Centers Efficiently
Linhao Ma, Philip F. Hopkins, Xiangcheng Ma +3
Possible formation scenarios of supermassive black holes in the early universe include rapid growth from less massive seed black holes (BHs) via super-Eddington accretion or runawa…
Neural networks as optimal estimators to marginalize over baryonic effects
Francisco Villaescusa-Navarro, Benjamin D. Wandelt, Daniel Anglés-Alcázar +4
Many different studies have shown that a wealth of cosmological information resides on small, non-linear scales. Unfortunately, there are two challenges to overcome to utilize that…
The Radio Galaxy Population in the SIMBA SImulations
Nicole Thomas, Romeel Dave, Matt J. Jarvis +1
We examine the 1.4GHz radio luminosities of galaxies arising from star formation and active galactic nuclei (AGN) within the state-of-the-art cosmological hydrodynamic simulation S…