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The relation between galaxy morphology and colour in the EAGLE simulation

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arxiv 1704.06283 v1 pith:DRTEJ2IW submitted 2017-04-20 astro-ph.GA

classification astro-ph.GA
keywords morphologygalaxiesgalaxymasscoloureagleintrinsicsequence
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abstract

We investigate the relation between kinematic morphology, intrinsic colour and stellar mass of galaxies in the EAGLE cosmological hydrodynamical simulation. We calculate the intrinsic u-r colours and measure the fraction of kinetic energy invested in ordered corotation of 3562 galaxies at z=0 with stellar masses larger than $10^{10}M_{\odot}$. We perform a visual inspection of gri-composite images and find that our kinematic morphology correlates strongly with visual morphology. EAGLE produces a galaxy population for which morphology is tightly correlated with the location in the colour- mass diagram, with the red sequence mostly populated by elliptical galaxies and the blue cloud by disc galaxies. Satellite galaxies are more likely to be on the red sequence than centrals, and for satellites the red sequence is morphologically more diverse. These results show that the connection between mass, intrinsic colour and morphology arises from galaxy formation models that reproduce the observed galaxy mass function and sizes.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Mapping Nearby Galaxies with Apache Point Observatory: Group and field galaxies' morphologies in the colour-magnitude plane

    astro-ph.GA 2025-05 conditional novelty 4.0 of 10

    Comparing field and group galaxies in the MaNGA survey, the authors find that the colour-environment relation is strong for elliptical, lenticular, early-type, and intermediate-type spirals, but weak for late-type spi...

  2. Cosmological Simulations of Galaxies

    astro-ph.GA 2025-07 unverdicted

    A comprehensive introductory review of cosmological galaxy simulation methods, covering initial conditions, numerical solvers, star formation and feedback, analysis, and validation.

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