581 citations · 4.4k across the 63 of their papers we have counts for
4 papers · 2 filters
The nature of giant clumps in high-z discs: a deep-learning comparison of simulations and observations
Omri Ginzburg, Marc Huertas-Company, Avishai Dekel +4
We use deep learning to explore the nature of observed giant clumps in high-redshift disc galaxies, based on their identification and classification in cosmological simulations. Si…
IQ Collaboratory II: The Quiescent Fraction of Isolated, Low Mass Galaxies Across Simulations and Observations
Claire M Dickey, Tjitske K Starkenburg, Marla Geha +10
We compare three major large-scale hydrodynamical galaxy simulations (EAGLE, Illustris-TNG, and SIMBA) by forward modeling simulated galaxies into observational space and computing…
OVI Traces Photoionized Streams With Collisionally Ionized Boundaries in Cosmological Simulations of Massive Galaxies
Clayton Strawn, Santi Roca-Fàbrega, Nir Mandelker +6
We analyse the distribution and origin of OVI in the Circumgalactic Medium (CGM) of dark-matter haloes of M at in the VELA cosmological zoom-in simu…
Stellar Masses of Giant Clumps in CANDELS and Simulated Galaxies Using Machine Learning
M. Huertas-Company, Y. Guo, O. Ginzburg +12
A significant fraction of high redshift star-forming disc galaxies are known to host giant clumps, whose nature and role in galaxy evolution are yet to be understood. In this work…