Testing the key role of the stellar mass–halo mass relation in galaxy merger rates and morphologies via DECODE, a novel Discrete statistical sEmi-empiriCal mODEl - Faculté des Sciences de Sorbonne Université Access content directly
Journal Articles Monthly Notices of the Royal Astronomical Society Year : 2022

Testing the key role of the stellar mass–halo mass relation in galaxy merger rates and morphologies via DECODE, a novel Discrete statistical sEmi-empiriCal mODEl

Hao Fu
  • Function : Author
Francesco Shankar
  • Function : Author
Mohammadreza Ayromlou
  • Function : Author
Max Dickson
  • Function : Author
Ioanna Koutsouridou
  • Function : Author
Yetli Rosas-Guevara
  • Function : Author
Christopher Marsden
  • Function : Author
Kristina Brocklebank
  • Function : Author
Mariangela Bernardi
  • Function : Author
Nikolaos Shiamtanis
  • Function : Author
Joseph Williams
  • Function : Author
Lorenzo Zanisi
  • Function : Author
Viola Allevato
  • Function : Author
Lumen Boco
  • Function : Author
Silvia Bonoli
  • Function : Author
Paola Dimauro
  • Function : Author
Fangzhou Jiang
  • Function : Author
Andrea Lapi
  • Function : Author
Nicola Menci
  • Function : Author
Stefani Petropoulou
  • Function : Author
Carolin Villforth
  • Function : Author

Abstract

The relative roles of mergers and star formation in regulating galaxy growth are still a matter of intense debate. We here present our decode, a new Discrete statistical sEmi-empiriCal mODEl specifically designed to predict rapidly and efficiently, in a full cosmological context, galaxy assembly, and merger histories for any given input stellar mass–halo mass (SMHM) relation. decode generates object-by-object dark matter merger trees (hence discrete) from accurate subhalo mass and infall redshift probability functions (hence statistical) for all subhaloes, including those residing within other subhaloes, with virtually no resolution limits on mass or volume. Merger trees are then converted into galaxy assembly histories via an input, redshift-dependent SMHM relation, which is highly sensitive to the significant systematics in the galaxy stellar mass function and on its evolution with cosmic time. decode can accurately reproduce the predicted mean galaxy merger rates and assembly histories of hydrodynamic simulations and semi-analytical models, when adopting in input their SMHM relations. In this work, we use decode to prove that only SMHM relations implied by stellar mass functions characterized by large abundances of massive galaxies and significant redshift evolution, at least at M⋆≳⁠, can simultaneously reproduce the local abundances of satellite galaxies, the galaxy (major merger) pairs since z ∼ 3, and the growth of Brightest Cluster Galaxies. The same models can also reproduce the local fraction of elliptical galaxies, on the assumption that these are strictly formed by major mergers, but not the full bulge-to-disc ratio distributions, which require additional processes.
Fichier principal
Vignette du fichier
stac2205.pdf (4.18 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

hal-03760794 , version 1 (22-03-2023)

Licence

Attribution

Identifiers

Cite

Hao Fu, Francesco Shankar, Mohammadreza Ayromlou, Max Dickson, Ioanna Koutsouridou, et al.. Testing the key role of the stellar mass–halo mass relation in galaxy merger rates and morphologies via DECODE, a novel Discrete statistical sEmi-empiriCal mODEl. Monthly Notices of the Royal Astronomical Society, 2022, 516 (3), pp.3206-3233. ⟨10.1093/mnras/stac2205⟩. ⟨hal-03760794⟩
67 View
21 Download

Altmetric

Share

Gmail Facebook X LinkedIn More