activity
20082026
most citedIntroducing the Illustris Project: Simulating the coevolution of dark and visible matter in the Universe

2.3k citations · 36.1k across the 179 of their papers we have counts for

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Showing 2023Show all

10 papers · 1 filter

astro-ph.GA2023★ 1 cited

Leaving No Branches Behind: Predicting Baryonic Properties of Galaxies from Merger Trees

Chen-Yu Chuang, Christian Kragh Jespersen, Yen-Ting Lin +2

Galaxies play a key role in our endeavor to understand how structure formation proceeds in the Universe. For any precision study of cosmology or galaxy formation, there is a strong…

astro-ph.GA2023★ 6 cited

Why do semi-analytic models predict higher scatter in the stellar mass-halo mass relation than cosmological hydrodynamic simulations?

Antonio J. Porras-Valverde, John C. Forbes, Rachel S. Somerville +4

Semi-analytic models (SAMs) systematically predict higher stellar-mass scatter at a given halo mass than hydrodynamical simulations and most empirical models. Our goal is to invest…

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★ 6 cited

A Hierarchy of Normalizing Flows for Modelling the Galaxy-Halo Relationship

Christopher C. Lovell, Sultan Hassan, Daniel Anglés-Alcázar +8

Using a large sample of galaxies taken from the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project, a suite of hydrodynamic simulations varying both cosm…

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…