Modeling Dense Star Clusters in the Milky Way and Beyond with the Cluster Monte Carlo Code
Carl L. Rodriguez, Newlin C. Weatherford, Scott C. Coughlin, Pau Amaro, Seoane, Katelyn Breivik, Sourav Chatterjee, Giacomo Fragione, Fulya, K{\i}ro\u{g}lu, Kyle Kremer, Nicholas Z. Rui, Claire S. Ye, Michael Zevin,, Frederic A. Rasio

TL;DR
This paper introduces the Cluster Monte Carlo Code (CMC), a parallel star-by-star N-body simulation tool for dense star clusters, capable of modeling complex physics and producing realistic globular cluster models with black hole mergers.
Contribution
The paper presents the public release of CMC, a novel, physics-rich, parallel N-body code that integrates stellar evolution and dynamical processes for dense star cluster modeling.
Findings
Successfully simulated a $10^8$ star cluster to core collapse.
Produced realistic globular cluster models with black hole mergers.
Demonstrated the code's ability to reproduce expected density profiles.
Abstract
We describe the public release of the Cluster Monte Carlo Code (CMC) a parallel, star-by-star -body code for modeling dense star clusters. CMC treats collisional stellar dynamics using H\'enon's method, where the cumulative effect of many two-body encounters is statistically reproduced as a single effective encounter between nearest-neighbor particles on a relaxation timescale. The star-by-star approach allows for the inclusion of additional physics, including strong gravitational three- and four-body encounters, two-body tidal and gravitational-wave captures, mass loss in arbitrary galactic tidal fields, and stellar evolution for both single and binary stars. The public release of CMC is pinned directly to the COSMIC population synthesis code, allowing dynamical star cluster simulations and population synthesis studies to be performed using identical assumptions about the stellar…
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