On the Disruption of Star Clusters in a Hierarchical Interstellar Medium

TL;DR

This paper proposes a model where the hierarchical structure of interstellar gas influences star cluster disruption, explaining observed mass-age distributions without relying on environment-independent mechanisms.

Contribution

It introduces a new model linking gas cloud hierarchies to cluster disruption, successfully reproducing observed distributions across various scenarios.

Findings

Reproduces observed mass-age distributions with hierarchical gas influence.

Shows power-law decrease in cluster disruption rates over time.

Validates model across multiple disruption scenarios.

Abstract

The distribution of the number of clusters as a function of mass M and age T suggests that clusters get eroded or dispersed in a regular way over time, such that the cluster number decreases inversely as an approximate power law with T within each fixed interval of M. This power law is inconsistent with standard dispersal mechanisms such as cluster evaporation and cloud collisions. In the conventional interpretation, it requires the unlikely situation where diverse mechanisms stitch together over time in a way that is independent of environment or M. Here we consider another model in which the large scale distribution of gas in each star-forming region plays an important role. We note that star clusters form with positional and temporal correlations in giant cloud complexes, and suggest that these complexes dominate the tidal force and collisional influence on a cluster during its first several hundred million years. Because the cloud complex density decreases regularly with position from the cluster birth site, the harassment and collision rates between the cluster and the cloud pieces decrease regularly with age as the cluster drifts. This decrease is typically a power law of the form required to explain the mass-age distribution. We reproduce this distribution for a variety of cases, including rapid disruption, slow erosion, combinations of these two, cluster-cloud collisions, cluster disruption by hierarchical disassembly, and partial cluster disruption. We also consider apparent cluster mass loss by fading below the surface brightness limit of a survey. In all cases, the observed log M - \log T diagram can be reproduced under reasonable assumptions.