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The IllustrisTNG Simulations: Public Data Release
Dylan Nelson, Volker Springel, Annalisa Pillepich +11
We present the full public release of all data from the TNG50, TNG100 and TNG300 simulations of the IllustrisTNG project. IllustrisTNG is a suite of large volume, cosmological, gra…
Early-type galaxy density profiles from IllustrisTNG: I. Galaxy correlations and the impact of baryons
Yunchong Wang, Mark Vogelsberger, Dandan Xu +10
We explore the isothermal total density profiles of early-type galaxies (ETGs) in the IllustrisTNG simulation. For the selected 559 ETGs at with stellar mass $10^{10.7}\mat…
Dust in and around galaxies: dust in cluster environments and its impact on gas cooling
Mark Vogelsberger, Ryan McKinnon, Stephanie O'Neil +3
Simulating the dust content of galaxies and their surrounding gas is challenging due to the wide range of physical processes affecting the dust evolution. Here we present cosmologi…
A Deep Learning Approach to Galaxy Cluster X-ray Masses
M. Ntampaka, J. ZuHone, D. Eisenstein +9
We present a machine-learning approach for estimating galaxy cluster masses from Chandra mock images. We utilize a Convolutional Neural Network (CNN), a deep machine learning tool…
Baryons in the CosmicWeb of IllustrisTNG - I: Gas in Knots, Filaments, Sheets and Voids
Davide Martizzi, Mark Vogelsberger, Maria Celeste Artale +9
We analyze the IllustrisTNG simulations to study the mass, volume fraction and phase distribution of gaseous baryons embedded in the knots, filaments, sheets and voids of the Cosmi…
The optical morphologies of galaxies in the IllustrisTNG simulation: a comparison to Pan-STARRS observations
Vicente Rodriguez-Gomez, Gregory F. Snyder, Jennifer M. Lotz +12
We have generated synthetic images of 27,000 galaxies from the IllustrisTNG and the original Illustris hydrodynamic cosmological simulations, designed to match Pan-STARRS obs…