The Hubble Sequence at z ̃ 0 in the IllustrisTNG simulation with deep learning
We analyse the optical morphologies of galaxies in the IllustrisTNG simulation at z ̃ 0 with a convolutional neural network trained on visual morphologies in the Sloan Digital Sky Survey. We generate mock SDSS images of a mass complete sample of ̃ 12 000 galaxies in the simulation using the radiative transfer code SKIRT and include PSF and noise to
Huertas-Company, Marc et al.
Advertised on:
10
2019