activity
20132026
most citedThe EAGLE project: Simulating the evolution and assembly of galaxies and their environments

3.7k citations · 17.2k across the 214 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

astro-ph.GA2021

Observed structural parameters of EAGLE galaxies: reconciling the mass-size relation in simulations with local observations

Anna de Graaff, James Trayford, Marijn Franx +3

We use mock images of galaxies in the 100 Mpc EAGLE simulation to establish the differences between the sizes and morphologies inferred from the stellar mass distributions…

astro-ph.CO2021★ 9 cited

SEAGLE--III: Towards resolving the mismatch in the dark-matter fraction in early-type galaxies between simulations and observations

Sampath Mukherjee, Léon V. E. Koopmans, Crescenzo Tortora +4

The central dark-matter fraction of galaxies is sensitive to feedback processes during galaxy formation. Strong gravitational lensing has been effective in the precise measurement…

astro-ph.GA2021★ 60 cited

The importance of black hole repositioning for galaxy formation simulations

Yannick M. Bahé, Joop Schaye, Matthieu Schaller +6

Active galactic nucleus (AGN) feedback from accreting supermassive black holes (SMBHs) is an essential ingredient of galaxy formation simulations. The orbital evolution of SMBHs is…

astro-ph.GA2021★ 45 cited

A machine learning approach to mapping baryons onto dark matter haloes using the EAGLE and C-EAGLE simulations

Christopher C. Lovell, Stephen M. Wilkins, Peter A. Thomas +4

High-resolution cosmological hydrodynamic simulations are currently limited to relatively small volumes due to their computational expense. However, much larger volumes are require…

astro-ph.GA2021★ 7 cited

A sparse regression approach to modeling the relation between galaxy stellar masses and their host halos

M. Icaza-Lizaola, Richard G. Bower, Peder Norberg +3

Sparse regression algorithms have been proposed as the appropriate framework to model the governing equations of a system from data, without needing prior knowledge of the underlyi…