The evolution of barred galaxies in the EAGLE simulations
Mitchell K. Cavanagh, Kenji Bekki, Brent A. Groves, Joel Pfeffer

TL;DR
This study uses the EAGLE simulation and neural networks to analyze the evolution of barred galaxy fractions from redshift 1 to 0, revealing trends across galaxy types and masses, and linking bar dynamics to merging events.
Contribution
It introduces a CNN-based classification of galaxy morphologies in EAGLE simulations and tracks the evolution and lifecycle of bars over cosmic time.
Findings
Bar fraction declines from 33% at z=0.5 to 26% at z=1.
Bars are most common in spiral galaxies, with a decrease from 49% to 39%.
Bar creation and destruction are linked to merging events.
Abstract
We study the morphologies of 3,964 galaxies and their progenitors with in the reference EAGLE hydrodynamical simulation from redshifts to , 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), spiral (Sp), and irregular/miscellaneous (IrrM). We find that the bar fraction is roughly constant between to (32% to 33%), before exhibiting a general decline to 26% out to . The bar fraction is highest in spiral galaxies, from 49% at to 39% at . The bar fraction in S0s is lower, ranging from 22% to 18%, with similar values for the…
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