Statistics of galaxy mergers: bridging the gap between theory and observation
Filip Hu\v{s}ko, Cedric G. Lacey, Carlton M. Baugh

TL;DR
This study uses cosmological simulations and semi-analytical models to analyze galaxy merger statistics up to redshift 10, revealing discrepancies with other models and observations, and providing new fitting formulas for merger timescales.
Contribution
It offers the first comprehensive analysis of galaxy merger rates and close pair fractions up to high redshift, including new fitting formulas for merger timescales and detailed comparisons with observations.
Findings
Merger rates decline rapidly for high-mass galaxies at low redshift.
Predicted merger rates increase then turn over with redshift, conflicting with some models.
Close pair fractions depend on maximum projected separation as r_max^1.32.
Abstract
We present a study of galaxy mergers up to using the Planck Millennium cosmological dark matter simulation and the {\tt GALFORM} semi-analytical model of galaxy formation. Utilising the full ( Mpc) volume of the simulation, we studied the statistics of galaxy mergers in terms of merger rates and close pair fractions. We predict that merger rates begin to drop rapidly for high-mass galaxies ( for ), as a result of the exponential decline in the galaxy stellar mass function. The predicted merger rates increase and then turn over with increasing redshift, by , in disagreement with hydrodynamical simulations and semi-empirical models. In agreement with most other models and observations, we find that close pair fractions flatten or turn over at some redshift (dependent on the mass selection). We conduct an extensive comparison…
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