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The Origin of the Dust Extinction Curve in Milky Way-like Galaxies
Qi Li, Desika Narayanan, Paul Torrey +2
We develop a cosmological model for the evolution of dust grains in galaxies with a distribution of sizes in order to understand the origin of the Milky Way dust extinction curve.…
Inferring the Morphology of Stellar Distribution in TNG50: Twisted and Twisted-Stretched shapes
Razieh Emami, Lars Hernquist, Charles Alcock +9
We investigate the morphology of the stellar distribution in a sample of Milky Way (MW) like galaxies in the TNG50 simulation. Using a local in shell iterative method (LSIM) as the…
The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations
Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar, Shy Genel +19
We present the Cosmology and Astrophysics with MachinE Learning Simulations --CAMELS-- project. CAMELS is a suite of 4,233 cosmological simulations of volu…
Spatially resolved star formation and fuelling in galaxy interactions
Jorge Moreno, Paul Torrey, Sara L. Ellison +8
We investigate the spatial structure and evolution of star formation and the interstellar medium (ISM) in interacting galaxies. We use an extensive suite of parsec-scale galaxy mer…
DM halo morphological types of MW-like galaxies in the TNG50 simulation: Simple, Twisted, or Stretched
Razieh Emami, Shy Genel, Lars Hernquist +8
We present a comprehensive analysis of the shape of dark matter (DM) halos in a sample of 25 Milky Way-like galaxies in TNG50 simulation. Using an Enclosed Volume Iterative Method…
Quenched fractions in the IllustrisTNG simulations: the roles of AGN feedback, environment, and pre-processing
Martina Donnari, Annalisa Pillepich, Gandhali D. Joshi +8
We use the IllustrisTNG simulations to show how the fractions of quenched galaxies vary across different environments and cosmic time, and to quantify the role AGN feedback and pre…