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20132025
most citedFIRE-2 Simulations: Physics versus Numerics in Galaxy Formation

1.1k citations · 5.7k across the 75 of their papers we have counts for

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Showing 2023Show all

13 papers · 1 filter

astro-ph.GA2023★ 1 cited

Disappearing galaxies: the orientation dependence of JWST-bright, HST-dark, star-forming galaxy selection

R. K. Cochrane, D. Anglés-Alcázar, F. Cullen +1

Galaxies that are invisible in deep optical-NIR imaging but detected at longer wavelengths have been the focus of several recent observational studies, with speculation that they c…

astro-ph.HE2023★ 49 cited

FORGE'd in FIRE II: The Formation of Magnetically-Dominated Quasar Accretion Disks from Cosmological Initial Conditions

Philip F. Hopkins, Jonathan Squire, Kung-Yi Su +9

In a companion paper, we reported the self-consistent formation of quasar accretion disks with inflow rates down to <300 Schwarzschild radii fro…

astro-ph.CO2023★ 1 cited

Cosmology with multiple galaxies

Chaitanya Chawak, Francisco Villaescusa-Navarro, Nicolas Echeverri Rojas +3

Recent works have discovered a relatively tight correlation between and properties of individual simulated galaxies. Because of this, it has been shown that constraints…

astro-ph.GA2023★ 50 cited

FORGE'd in FIRE: Resolving the End of Star Formation and Structure of AGN Accretion Disks from Cosmological Initial Conditions

Philip F. Hopkins, Michael Y. Grudic, Kung-Yi Su +8

It has recently become possible to zoom-in from cosmological to sub-pc scales in galaxy simulations to follow accretion onto supermassive black holes (SMBHs). However, at some poin…

astro-ph.GA2023★ 2 cited

An Observationally Driven Multifield Approach for Probing the Circum-Galactic Medium with Convolutional Neural Networks

Naomi Gluck, Benjamin D. Oppenheimer, Daisuke Nagai +2

The circum-galactic medium (CGM) can feasibly be mapped by multiwavelength surveys covering broad swaths of the sky. With multiple large datasets becoming available in the near fut…

astro-ph.GA2023★ 4 cited

Cosmological baryon spread and impact on matter clustering in CAMELS

Matthew Gebhardt, Daniel Anglés-Alcázar, Josh Borrow +9

We quantify the cosmological spread of baryons relative to their initial neighboring dark matter distribution using thousands of state-of-the-art simulations from the Cosmology and…

astro-ph.GA2023★ 3 cited

An Exploration of AGN and Stellar Feedback Effects in the Intergalactic Medium via the Low Redshift Lyman- Forest

Megan Taylor Tillman, Blakesley Burkhart, Stephanie Tonnesen +9

We explore the role of galactic feedback on the low redshift Lyman- (Ly)~forest () statistics and its potential to alter the thermal state of the intergalactic…

astro-ph.CO2023★ 3 cited

Inferring Warm Dark Matter Masses with Deep Learning

Jonah C. Rose, Paul Torrey, Francisco Villaescusa-Navarro +6

We present a new suite of over 1,500 cosmological N-body simulations with varied Warm Dark Matter (WDM) models ranging from 2.5 to 30 keV. We use these simulations to train Convolu…

astro-ph.HE2023★ 3 cited

Massive black holes in galactic nuclei: Theory and Simulations

Tiziana Di Matteo, Daniel Angles-Alcazar, Francesco Shankar

Massive black holes are fundamental constituents of our cosmos, from the Big Bang to today. Understanding their formation from cosmic dawn, their growth, and the emergence of the f…

astro-ph.CO2023★ 2 cited

Cosmology with one galaxy? -- The ASTRID model and robustness

Nicolas Echeverri, Francisco Villaescusa-Navarro, Chaitanya Chawak +7

Recent work has pointed out the potential existence of a tight relation between the cosmological parameter , at fixed , and the properties of individual galax…

astro-ph.CO2023★ 9 cited

The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suites

Yueying Ni, Shy Genel, Daniel Anglés-Alcázar +12

We present CAMELS-ASTRID, the third suite of hydrodynamical simulations in the Cosmology and Astrophysics with MachinE Learning (CAMELS) project, along with new simulation sets tha…

astro-ph.CO2023★ 2 cited

A universal equation to predict from halo and galaxy catalogues

Helen Shao, Natalí S. M de Santi, Francisco Villaescusa-Navarro +13

We discover analytic equations that can infer the value of from the positions and velocity moduli of halo and galaxy catalogues. The equations are derived by combining…

astro-ph.GA2023★ 4 cited

Predicting the impact of feedback on matter clustering with machine learning in CAMELS

Ana Maria Delgado, Daniel Angles-Alcazar, Leander Thiele +7

Extracting information from the total matter power spectrum with the precision needed for upcoming cosmological surveys requires unraveling the complex effects of galaxy formation…