Physics & Spacearticle2026-10-26

A Cosmological Framework for Stellar Collisions at High Redshift in Proto-globular Clusters, Nuclear Star Clusters, and Little Red Dots

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Abstract

Abstract Observations and cosmological simulations indicate that the early Universe hosted numerous compact, high-density stellar systems, where close encounters and physical collisions between stars were likely common. We develop a bottom-up framework for stellar dynamics in such environments, spanning systems with and without intermediate-mass and supermassive black holes, and covering regimes where stellar collisions may or may not dominate the evolution. This radially resolved analytic model connects dense star clusters in their cosmological context to observable outcomes mediated by stellar collisions. Initial conditions and environmental properties are drawn from high-resolution cosmological simulations, enabling exploration across a broad region of parameter space. The analytic predictions are validated against Monte Carlo simulations, demonstrating good agreement across key regimes. We find that stellar collisions are ubiquitous in many high-redshift environments, with runaway sequences naturally leading to the formation of very massive stars at early times. Finally, we show that high rates of destructive collisions can rapidly build up extremely dense gaseous environments around massive black holes, potentially providing an analog to the observed population of Little Red Dots.

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View paper (DOI)Open access versionOpenAlexThe Astrophysical JournalPublished 2026-10-26

Authors: Claire E. Williams, Smadar Naoz, Sanaea C. Rose, Blakesley Burkhart, Naoki Yoshida, Avi Chen, Kyle Kremer, William Lake, Federico Marinacci, Shyam H. Menon, Mark Vogelsberger

Institutions: University of California, Los Angeles, Northwestern University, The University of Tokyo, Dartmouth College, University of Bologna, Massachusetts Institute of Technology, Rutgers, The State University of New Jersey, Philipps University of Marburg, Flatiron Institute, National Institute for Astrophysics, NSF-Simons AI Institute for the Sky