Merger Rates of Dark-Matter Haloes
Eyal Neistein, Avishai Dekel

TL;DR
This paper derives more accurate analytic merger rates for dark-matter haloes within the EPS framework, correcting previous estimates and providing tools for galaxy formation studies.
Contribution
It introduces a self-consistent method for calculating halo merger rates that accounts for multiple progenitors and matches N-body simulation results.
Findings
Corrected EPS merger rates are ~20% higher for major mergers.
Minor merger rates are up to 3 times higher than previous estimates.
Provides analytic formulas and algorithms for constructing merger trees.
Abstract
We derive analytic merger rates for dark-matter haloes within the framework of the Extended Press-Schechter (EPS) formalism. These rates become self-consistent within EPS once we realize that the typical merger in the limit of a small time-step involves more than two progenitors, contrary to the assumption of binary mergers adopted in earlier studies. We present a general method for computing merger rates that span the range of solutions permitted by the EPS conditional mass function, and focus on a specific solution that attempts to match the merger rates in N-body simulations. The corrected EPS merger rates are more accurate than the earlier estimates of Lacey & Cole, by ~20% for major mergers and by up to a factor of ~3 for minor mergers of mass ratio 1:10^4. Based on the revised merger rates, we provide a new algorithm for constructing Monte-Carlo EPS merger trees, that could be…
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