Taking apart the dynamical clock. Fat-tailed dynamical kicks shape the blue-straggler star bimodality
Mario Pasquato, Pierfrancesco Di Cintio

TL;DR
This paper introduces a new simulation method to study blue straggler star distribution in globular clusters, emphasizing the importance of fat-tailed dynamical kicks in reproducing observed bimodal distributions.
Contribution
The authors develop a fast, simplified simulation approach using Langevin dynamics with fat-tailed distributions to model star dynamics, highlighting the role of close encounters.
Findings
The zone of avoidance moves outward over time in simulations.
Fat-tailed Holtsmark distribution accurately models close encounters.
Dynamical clock depends on both dynamical friction and diffusion.
Abstract
In globular clusters, blue straggler stars are heavier than the average star, so dynamical friction strongly affects them. The radial distribution of BSS, normalized to a reference population, appears bimodal in a fraction of Galactic GCs, with a density peak in the core, a prominent zone of avoidance at intermediate radii, and again higher density in the outskirts. The zone of avoidance appears to be located at larger radii the more relaxed the host cluster, acting as a sort of dynamical clock. We use a new method to compute the evolution of the BSS radial distribution under dynamical friction and diffusion. We evolve our BSS in the mean cluster potential under dynamical friction plus a random fluctuating force, solving the Langevin equation with the Mannella quasi symplectic scheme. This amounts to a new simulation method which is much faster and simpler than direct N-body codes but…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astrophysics and Star Formation Studies · stochastic dynamics and bifurcation
