The evolution of barred galaxies in the EAGLE simulations
Mitchell K. Cavanagh,
Kenji Bekki,
Brent A. Groves
et al.
Abstract:We study the morphologies of 3,964 galaxies and their progenitors with π β > 10 10 π in the reference EAGLE hydrodynamical simulation from redshifts π§ = 1 to π§ = 0, concentrating on the redshift evolution of the bar fraction. We apply two convolutional neural networks (CNNs) to classify 35,082 synthetic g-band images across 10 snapshots in redshift. We identify galaxies as either barred or unbarred, while also classifying each sample into one of four morphological types: elliptical (E), lenticular (S0), sp… Show more
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