ΛCDM Star Clusters at Cosmic Dawn: Stellar Densities, Environment, and Equilibrium

Abstract The James Webb Space Telescope (JWST) has opened a window on many new puzzles in the early Universe, including a population of high-redshift star clusters with extremely high stellar surface density, suggesting unique star formation conditions in the Universe’s early evolution. We study the formation and evolution of these first star clusters and galaxies using an AREPO cosmological simulation box designed to resolve the intricate environments of the smallest halos hosting Population III star clusters at z ≥ 12. Our approach, which prioritizes baryonic structure identification through a friends-of-friends algorithm, provides new insights into early star cluster formation and delivers predictions directly relevant to observations. We investigate the dynamical properties of these first star clusters and use numerical and analytical methods to understand the populations of virialized and nonvirialized systems. Our findings indicate that high- z star clusters in a feedback-free regime can achieve extreme surface densities, consistent with the systems detected by JWST. These results imply that JWST may have the opportunity to uncover stellar systems at high redshift whose dynamical state preserves evidence of the hierarchical structure formation process.

Authors

Publication Details

Journal
The Astrophysical Journal
Published
2025-09-03
DOI
https://doi.org/10.3847/1538-4357/adf19d
Citations
4
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
4.62

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ΛCDM Star Clusters at Cosmic Dawn: Stellar Densities, Environment, and Equilibrium

Mark Vogelsberger, Smadar Naoz, Avi Chen, Angela Adamo et al.
4 citations
The Astrophysical Journal
Stellar, planetary, and galactic studies
4.62
article

ΛCDM Star Clusters at Cosmic Dawn: Stellar Densities, Environment, and Equilibrium

Mark Vogelsberger, Smadar Naoz, Avi Chen, Angela Adamo, William Lake, Shyam H. Menon, Blakesley Burkhart, Federico Marinacci, Naoki Yoshida, Claire E. Williams
article en
4 citations

Abstract

Abstract The James Webb Space Telescope (JWST) has opened a window on many new puzzles in the early Universe, including a population of high-redshift star clusters with extremely high stellar surface density, suggesting unique star formation conditions in the Universe’s early evolution. We study the formation and evolution of these first star clusters and galaxies using an AREPO cosmological simulation box designed to resolve the intricate environments of the smallest halos hosting Population III star clusters at z ≥ 12. Our approach, which prioritizes baryonic structure identification through a friends-of-friends algorithm, provides new insights into early star cluster formation and delivers predictions directly relevant to observations. We investigate the dynamical properties of these first star clusters and use numerical and analytical methods to understand the populations of virialized and nonvirialized systems. Our findings indicate that high- z star clusters in a feedback-free regime can achieve extreme surface densities, consistent with the systems detected by JWST. These results imply that JWST may have the opportunity to uncover stellar systems at high redshift whose dynamical state preserves evidence of the hierarchical structure formation process.

The Astrophysical JournalVol. 990(2)
David and Lucile Packard Foundation, National Aeronautics and Space Administration, Alfred P. Sloan Foundation
Openalex Percentile: Top 5%
Stellar, planetary, and galactic studies
4.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.