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The star-formation activity of IllustrisTNG galaxies: main sequence, UVJ diagram, quenched fractions, and systematics
Martina Donnari, Annalisa Pillepich, Dylan Nelson +6
We select galaxies from the IllustrisTNG hydrodynamical simulations ( at ) and characterize the shapes and evolutions of their UVJ and star-format…
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…
Jellyfish galaxies with the IllustrisTNG simulations: I. Gas-stripping phenomena in the full cosmological context
Kiyun Yun, Annalisa Pillepich, Elad Zinger +8
We use IllustrisTNG, a suite of gravity and MHD simulations, to study the demographics and properties of jellyfish galaxies in the full cosmological context. By jellyfish galaxies,…
Cosmological Hydrodynamic Simulations with Suppressed Variance in the Lyman- Forest Power Spectrum
Lauren Anderson, Andrew Pontzen, Andreu Font-Ribera +3
We test a method to reduce unwanted sample variance when predicting Lyman- (ly) forest power spectra from cosmological hydrodynamical simulations. Sample variance arises due…
Zooming in on accretion - II. Cold Circumgalactic Gas Simulated with a super-Lagrangian Refinement Scheme
Joshua Suresh, Dylan Nelson, Shy Genel +2
In this study we explore the complex multi-phase gas of the circumgalactic medium (CGM) surrounding galaxies. We propose and implement a novel, super-Lagrangian 'CGM zoom' scheme i…
IQ-Collaboratory 1.1: the Star-Forming Sequence of Simulated Central Galaxies
ChangHoon Hahn, Tjitske K. Starkenburg, Ena Choi +12
A tightly correlated star formation rate-stellar mass relation of star forming galaxies, or star-forming sequence (SFS), is a key feature in galaxy property-space that is predicted…