Galaxy morphologies at 0.5 < z < 3 in the TNG50 hydrodynamic simulation
In this project we analyse the optical and structural properties of galaxies with redshifts (0.5 < z < 3.0) and more massive than 10 9 solar masses in the IllustrisTNG50 cosmological simulation. We use a Convolutional Neural Network (CNN) trained on observed galaxies from the CANDELS survey. We include similar PSF and noise to the 11048 mock images
Varma, S.
Fecha de publicación:
1
2021