Mock Observations of Blue Stragglers in Globular Cluster Models
Alison Sills, Evert Glebbeek, Sourav Chatterjee, Frederic A. Rasio

TL;DR
This study uses artificial models of globular clusters to analyze blue straggler populations, comparing observational methods and cluster properties to understand their formation and evolution.
Contribution
It introduces a comparison of blue straggler selection criteria and confirms the overestimation of their lifetimes in existing models, aligning simulated results with observed trends.
Findings
Mass-based selection doubles blue straggler count but correlates well with observational criteria.
Model blue stragglers show similar trends with cluster properties as real Milky Way blue stragglers.
Number of blue stragglers in the core weakly depends on the collisional parameter Gamma.
Abstract
We created artificial color-magnitude diagrams of Monte Carlo dynamical models of globular clusters, and then used observational methods to determine the number of blue stragglers in those clusters. We compared these blue stragglers to various cluster properties, mimicking work that has been done for blue stragglers in Milky Way globular clusters to determine the dominant formation mechanism(s) of this unusual stellar population. We find that a mass-based prescription for selecting blue stragglers will choose approximately twice as many blue stragglers than a selection criterion that was developed for observations of real clusters. However, the two numbers of blue stragglers are well-correlated, so either selection criterion can be used to characterize the blue straggler population of a cluster. We confirm previous results that the simplified prescription for the evolution of a…
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