Dissecting the roles of mass and environment quenching in galaxy evolution with EAGLE. Issue 1 (29th June 2018)

• Record Type: Journal Article
• Authors: Cochrane, R K; Best, P N
• Is Part Of: Monthly notices of the Royal Astronomical Society. Volume 480:Issue 1(2018)
• Page Start: 864
• Page End: 878
• Publication Date: 2018-06-29
• Subjects: galaxies: evolution -- galaxies: fundamental parameters -- galaxies: haloes -- galaxies: high-redshift -- galaxies: statistics; Astronomy -- Periodicals; Periodicals; 520.5
• DOI: 10.1093/mnras/sty1708
• Languages: English
• ISSNs: 0035-8711

Abstract

ABSTRACT: We exploit the pioneering cosmological hydrodynamical simulation, EAGLE, to study how the connection between halo mass ( M halo ), stellar mass ( M * ), and star formation rate (SFR) evolves across redshift. Using principal component analysis, we identify the key axes of correlation between these physical quantities, for the full galaxy sample and split by satellite/central and low/high halo mass. The first principal component of the $z$ = 0 EAGLE galaxy population is a positive correlation between M halo, M * and SFR. This component is particularly dominant for central galaxies in low-mass haloes. The second principal component, most significant in high-mass haloes, is a negative correlation between M halo and SFR, indicative of environmental quenching. For galaxies above $M_{*}\sim 10^{10}\, {\rm M}_{\odot }$, however, the SFR is seen to decouple from the M halo – M * correlation; this result is found to be independent of environment, suggesting that mass quenching effects are also in operation. We find extremely good agreement between the EAGLE principal components and those of Sloan Digital Sky Survey galaxies; this lends confidence to our conclusions. Extending our study to EAGLE galaxies in the range $z$ = 0–4, we find that, although the relative numbers of galaxies in the different subsamples change, their principal components do not change significantly with redshift. This indicates that the physical processes that govern the evolution of galaxies within their dark matter haloes act similarly throughout cosmic time. Finally, we present halo occupation distribution model fits to EAGLE galaxies and show that one flexible six-parameter functional form is capable of fitting a wide range of different mass- and SFR-selected subsamples.