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Galaxy inclination and the IRX-beta relation: Effects on UV star-formation rate measurements at intermediate to high redshifts
Weichen Wang, Susan A. Kassin, Camilla Pacifici +11
At intermediate and high redshifts, measurements of galaxy star-formation rates are usually based on rest-frame ultraviolet (UV) data. A correction for dust attenuation, A_UV, is n…
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…
Automated Distant Galaxy Merger Classifications from Space Telescope Images using the Illustris Simulation
Gregory F. Snyder, Vicente Rodriguez-Gomez, Jennifer M. Lotz +5
We present image-based evolution of galaxy mergers from the Illustris cosmological simulation at 12 time-steps over 0.5 < z < 5. To do so, we created approximately one million synt…
Deep Learning Identifies High-z Galaxies in a Central Blue Nugget Phase in a Characteristic Mass Range
M. Huertas-Company, J. R. Primack, A. Dekel +11
We use machine learning to identify in color images of high-redshift galaxies an astrophysical phenomenon predicted by cosmological simulations. This phenomenon, called the blue nu…
Galaxy Zoo: Morphological classification of galaxy images from the Illustris simulation
Hugh Dickinson, Lucy Fortson, Chris Lintott +13
Modern cosmological simulations model the universe with increasing sophistication and at higher spatial and temporal resolutions. These enhancements permit detailed comparisons bet…