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The CAMELS-CROCODILE Simulation Suite: A New Cosmology--Astrophysics Playground for Machine Learning
Kentaro Nagamine, Yuri Oku, Atsushi J. Nishizawa +4
We present CAMELS-CROCODILE, a suite of cosmological hydrodynamic simulations that extends the CAMELS framework with the \gadget{} smoothed particle hydrodynamics code and the Osak…
BIND (Baryonic INpainting with Deep learning): A Field-level Emulator for Galaxy Groups and Clusters
Max E. Lee, Shy Genel, Zoltan Haiman +3
Baryonic feedback is a dominant source of systematic uncertainty for upcoming weak-lensing surveys, but current tools for modeling its effect rely on spherical approximations and d…
Evaluating the flexibility of the MillenniumTNG galaxy formation model with multi-zoom re-simulations
Francisco Maion, Raul E. Angulo, Volker Springel +2
In this study we introduce a new simulation campaign designed to understand how parameters that control star-formation and AGN feedback processes in cosmological hydrodynamical sim…
The Thermodynamic and Kinematic Evolution of Circumgalactic Gas around in the IllustrisTNG model
Daniel DeFelippis, Shy Genel, Greg L. Bryan
The circumgalactic medium (CGM) is known to contain multiphase gas in various stages of evolution and interaction with the galaxy. In order to characterize its detailed behavior on…
On the Frequency of Multiple Galaxy Mergers in CDM Cosmological Simulations
Jonathan Mack, Shy Genel
Mergers are believed to play a pivotal role in galaxy evolution, and measuring the galaxy merger fraction is a longstanding goal of both observational and theoretical studies. In t…
The Cosmic Baryon Cycle in IllustrisTNG: flows of mass, energy, and metals
Yossi Oren, Viraj Pandya, Rachel S. Somerville +3
We measure and analyze the inflows and outflows of mass, energy, and metals through the interstellar medium (ISM) and circumgalactic medium (CGM) of galaxies in the IllustrisTNG100…