English

Extracting Galaxy Merger Timescales II: A new fitting formula

Astrophysics of Galaxies 2020-10-28 v1 Instrumentation and Methods for Astrophysics

Abstract

Predicting the merger timescale (τmerge\tau_{\rm merge}) of merging dark matter halos, based on their orbital parameters and the structural properties of their hosts, is a fundamental problem in gravitational dynamics that has important consequences for our understanding of cosmological structure formation and galaxy formation. Previous models predicting τmerge\tau_{\rm merge} have shown varying degrees of success when compared to the results of cosmological NN-body simulations. We build on this previous work and propose a new model for τmerge\tau_{\rm merge} that draws on insights derived from these simulations. We find that published predictions can provide reasonable estimates for τmerge\tau_{\rm merge} based on orbital properties at infall, but tend to underpredict τmerge\tau_{\rm merge} inside the host virial radius (R200R_{200}) because tidal stripping is neglected, and overpredict it outside R200R_{200} because the host mass is underestimated. Furthermore, we find that models that account for orbital angular momentum via the circular radius RcircR_{\rm circ} underpredict (overpredict) τmerge\tau_{\rm merge} for bound (unbound) systems. By fitting for the dependence of τmerge\tau_{\rm merge} on various orbital and host halo properties,we derive an improved model for τmerge\tau_{\rm merge} that can be applied to a merging halo at any point in its orbit. Finally, we discuss briefly the implications of our new model for τmerge\tau_{\rm merge} for semi-analytical galaxy formation modelling.

Keywords

Cite

@article{arxiv.2010.08786,
  title  = {Extracting Galaxy Merger Timescales II: A new fitting formula},
  author = {Rhys J. J. Poulton and Chris Power and Aaron S. G. Robotham and Pascal J. Elahi and Claudia del P. Lagos},
  journal= {arXiv preprint arXiv:2010.08786},
  year   = {2020}
}

Comments

12 pages, 11 figures, accepted for publication in MNRAS