The star cluster mass--galactocentric radius relation: Implications for cluster formation
Weijia Sun (1), Richard de Grijs (2,3), Zhou Fan (4), Ewan Cameron (5), ((1) School of Physics, Peking University, Beijing, China, (2) Kavli, Institute for Astronomy & Astrophysics, Department of Astronomy, Peking, University, China

TL;DR
This study investigates whether star cluster formation is environment-dependent or stochastic by analyzing the mass--galactocentric radius relation in four galaxies, finding evidence supporting stochastic formation as the dominant process.
Contribution
It provides a robust analysis using radial binning and quantile regression to show that cluster formation is largely environment-independent within galaxies.
Findings
Near-zero slopes in mass--radius relation across galaxies
Supports stochastic cluster formation as the primary process
Findings are consistent regardless of age or mass thresholds
Abstract
Whether or not the initial star cluster mass function is established through a universal, galactocentric-distance-independent stochastic process, on the scales of individual galaxies, remains an unsolved problem. This debate has recently gained new impetus through the publication of a study that concluded that the maximum cluster mass in a given population is not solely determined by size-of-sample effects. Here, we revisit the evidence in favor and against stochastic cluster formation by examining the young ( a few yr-old) star cluster mass--galactocentric radius relation in M33, M51, M83, and the Large Magellanic Cloud. To eliminate size-of-sample effects, we first adopt radial bin sizes containing constant numbers of clusters, which we use to quantify the radial distribution of the first- to fifth-ranked most massive clusters using ordinary least-squares…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
