An alternative method to study star cluster disruption
Mark Gieles (1), Nate Bastian (2) ((1) ESO/Santiago, (2) UCL, London)

TL;DR
This paper introduces a new size-of-sample method to study star cluster disruption, challenging the prevalent 90% mass-independent disruption scenario by analyzing the relation between the most massive cluster and age across different galaxies.
Contribution
It proposes a novel approach based on the M_max versus age relation to assess cluster disruption, avoiding biases from incompleteness in traditional methods.
Findings
Slopes consistent with no 90% mass-independent disruption in several galaxies.
M51 and Antennae galaxies show different cluster formation/disruption patterns.
Method effectively distinguishes different cluster disruption scenarios.
Abstract
Many embedded star clusters do not evolve into long-lived bound clusters. The most popular explanation for this "infant mortality" of young clusters is the expulsion of natal gas by stellar winds and supernovae, which leaves up to 90% of them unbound. A cluster disruption model has recently been proposed in which this mass- independent disruption of clusters proceeds for another Gyr after gas expulsion. In this scenario, the survival chances of massive clusters are much smaller than in the traditional mass-dependent disruption models. The most common way to study cluster disruption is to use the cluster age distribution, which, however, can be heavily affected by incompleteness. To avoid this, we introduce a new method, based on size-of-sample effects, namely the relation between the most massive cluster, M_max, and the age range sampled. Assuming that clusters are sampled from a…
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