57 citations · 196 across the 11 of their papers we have counts for
3 papers · 1 filter
ERGO-ML: Comparing IllustrisTNG and HSC galaxy images via contrastive learning
Lukas Eisert, Connor Bottrell, Annalisa Pillepich +5
Modern cosmological hydrodynamical galaxy simulations provide tens of thousands of reasonably realistic synthetic galaxies across cosmic time. However, quantitatively assessing the…
IllustrisTNG in the HSC-SSP: image data release and the major role of mini mergers as drivers of asymmetry and star formation
Connor Bottrell, Hassen M. Yesuf, Gergö Popping +13
At fixed galaxy stellar mass, there is a clear observational connection between structural asymmetry and offset from the star forming main sequence, SFMS. Herein, we use the TNG…
ERGO-ML: Towards a robust machine learning model for inferring the fraction of accreted stars in galaxies from integral-field spectroscopic maps
Eirini Angeloudi, Jesús Falcón-Barroso, Marc Huertas-Company +4
Quantifying the contribution of mergers to the stellar mass of galaxies is key for constraining the mechanisms of galaxy assembly across cosmic time. However, the mapping between o…