New Tests for Disruption Mechanisms of Star Clusters: Methods and Application to the Antennae Galaxies
S. Michael Fall (1,2), Rupali Chandar (3), and Bradley C. Whitmore (2), ((1) Institute for Advanced Study, (2) Space Telescope Science Institute, (3), University of Toledo)

TL;DR
This study introduces new methods to analyze star cluster disruption mechanisms using the bivariate mass-age distribution, applying them to Antennae galaxy data, and finds mass-independent disruption models fit best, revealing power-law distributions.
Contribution
The paper develops and tests new models for star cluster disruption based on mass and age distributions, with application to real galaxy data, highlighting the dominance of mass-independent disruption processes.
Findings
Mass-independent disruption model fits Antennae data well
Cluster luminosity function follows a power law with index -2
Disruption mechanisms include feedback, stellar mass loss, and tidal disturbances
Abstract
We present new tests for disruption mechanisms of star clusters based on the bivariate mass-age distribution g(M,\tau). In particular, we derive formulae for g(M,\tau) for two idealized models in which the rate of disruption depends on the masses of the clusters and one in which it does not. We then compare these models with our Hubble Space Telescope observations of star clusters in the Antennae galaxies over the mass-age domain in which we can readily distinguish clusters from individual stars: \tau\la10^7(M/10^4 M_{\odot})^{1.3} yr. We find that the models with mass-dependent disruption are poor fits to the data, even with complete freedom to adjust several parameters, while the model with mass-independent disruption is a good fit. The successful model has the simple form g(M,\tau) \propto M^{-2} \tau^{-1}, with power-law mass and age distributions, dN/dM propto M^{-2} and…
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