The merger rate of galaxies in the Illustris Simulation: a comparison with observations and semi-empirical models
Vicente Rodriguez-Gomez, Shy Genel, Mark Vogelsberger, Debora Sijacki,, Annalisa Pillepich, Laura V. Sales, Paul Torrey, Greg Snyder, Dylan Nelson,, Volker Springel, Chung-Pei Ma, Lars Hernquist

TL;DR
This paper uses the Illustris Simulation to analyze galaxy merger rates, establishing a robust methodology for defining mass ratios and providing a fitting function that aligns well with observations for medium-sized galaxies.
Contribution
It introduces a new approach for constructing galaxy merger trees and defines the galaxy-galaxy merger rate, offering a comprehensive fitting function across various parameters.
Findings
Merger rate increases with redshift as (1+z)^{2.4-2.8}
Merger rate follows a power law with respect to mass ratio
Dependence on stellar mass steepens for masses > 2×10^{11} M_sun
Abstract
We have constructed merger trees for galaxies in the Illustris Simulation by directly tracking the baryonic content of subhalos. These merger trees are used to calculate the galaxy-galaxy merger rate as a function of descendant stellar mass, progenitor stellar mass ratio, and redshift. We demonstrate that the most appropriate definition for the mass ratio of a galaxy-galaxy merger consists in taking both progenitor masses at the time when the secondary progenitor reaches its maximum stellar mass. Additionally, we avoid effects from `orphaned' galaxies by allowing some objects to `skip' a snapshot when finding a descendant, and by only considering mergers which show a well-defined `infall' moment. Adopting these definitions, we obtain well-converged predictions for the galaxy-galaxy merger rate with the following main features, which are qualitatively similar to the halo-halo merger rate…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
