English

Testing Galaxy Quenching Theories with Scatter in the Stellar to Halo Mass Relation

Astrophysics of Galaxies 2017-03-22 v1 Cosmology and Nongalactic Astrophysics

Abstract

We use the scatter in the stellar-to-halo mass relation to constrain galaxy evolution models. If the efficiency of converting accreted baryons into stars varies with time, halos of the same present-day mass but different formation histories will have different z=0 galaxy stellar mass. This is one of the sources of scatter in stellar mass at fixed halo mass, σlogM\sigma_{\log M\ast}. For massive halos that undergo rapid quenching of star formation at z~2, different mechanisms that trigger this quenching yield different values of σlogM\sigma_{\log M\ast}. We use this framework to test various models in which quenching begins after a galaxy crosses a threshold in one of the following physical quantities: redshift, halo mass, stellar mass, and stellar-to-halo mass ratio. Our model is highly idealized, with other sources of scatter likely to arise as more physics is included. Thus, our test is whether a model can produce scatter lower than observational bounds, leaving room for other sources. Recent measurements find σlogM=0.16\sigma_{\log M\ast}=0.16 dex for 10^11 Msol galaxies. Under the assumption that the threshold is constant with time, such a low value of σlogM\sigma_{\log M\ast} rules out all of these models with the exception of quenching by a stellar mass treshold. Most physical quantities, such as metallicity, will increase scatter if they are uncorrelated with halo formation history. Thus, to decrease the scatter of a given model, galaxy properties would correlate tightly with formation history, creating testable predictions for their clustering. Understanding why σlogM\sigma_{\log M\ast} is so small may be key to understanding the physics of galaxy formation.

Keywords

Cite

@article{arxiv.1607.06099,
  title  = {Testing Galaxy Quenching Theories with Scatter in the Stellar to Halo Mass Relation},
  author = {Jeremy L Tinker},
  journal= {arXiv preprint arXiv:1607.06099},
  year   = {2017}
}

Comments

10 pages, 6 figures, submitted to MNRAS