A New Hybrid Technique for Modeling Dense Star Clusters
Carl L. Rodriguez, Bharath Pattabiraman, Sourav Chatterjee, Alok, Choudhary, Wei-keng Liao, Meagan Morscher, Frederic A. Rasio

TL;DR
This paper introduces RAPID, a hybrid simulation technique that combines N-body precision with Monte Carlo speed to model dense star clusters more efficiently and accurately.
Contribution
The paper presents RAPID, a novel hybrid method that improves modeling of dense star clusters by integrating N-body and Monte Carlo approaches.
Findings
RAPID accurately reproduces key cluster properties.
RAPID is significantly faster than full N-body simulations.
RAPID outperforms standard Monte Carlo methods in dense core modeling.
Abstract
The "gravitational million-body problem," to model the dynamical evolution of a self-gravitating, collisional N-body system with ~10^6 particles over many relaxation times, remains a major challenge in computational astrophysics. Unfortunately, current techniques to model such systems suffer from severe limitations. A direct N-body simulation with more than 10^5 particles can require months or even years to complete, while an orbit-sampling Monte Carlo approach cannot adequately model the dynamics in a dense cluster core, particularly in the presence of many black holes. We have developed a new technique combining the precision of a direct N-body integration with the speed of a Monte Carlo approach. Our Rapid And Precisely Integrated Dynamics code, the RAPID code, statistically models interactions between neighboring stars and stellar binaries while integrating directly the orbits of…
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