The mean free path approximation and stellar collisions in star clusters: Numerical exploration of the analytic rates and the role of perturbations on binary star mergers
Basti\'an Reinoso, Nathan W. C. Leigh, Carlos M. Barrera-Retamal,, Dominik Schleicher, Ralf S. Klessen, Amelia M. Stutz

TL;DR
This study compares analytic mean free path models with N-body simulations to predict stellar collision rates in star clusters, identifying conditions where the models are valid and exploring merger channels.
Contribution
It provides a numerical validation of the mean free path approximation for stellar collisions across various cluster conditions and merger channels.
Findings
Analytic predictions match simulations within one standard deviation for most parameters.
The approximation breaks down in the densest clusters with a central massive object.
Perturbation-driven binary mergers are significant in dense environments.
Abstract
In this paper we compute predictions for the number of stellar collisions derived from analytic models based on the mean free path (MFP) approximation and compare them to the results of -body simulations. Our goal is to identify the cluster conditions under which the MFP approximation remains valid. Adopting a range of particle numbers () and different combinations of particle masses and radii, we explore three different channels leading to stellar collisions, all of which are expected to occur in realistic stellar environments. At high densities, binaries form from isolated three-body interactions of single stars. Hence, we consider collisions between single stars and collisions involving binary stars, after they form in our simulations. For the latter, we consider two channels for mergers, namely direct stellar collisions during chaotic single-binary interactions…
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