Extended Main Sequence Turnoffs in Intermediate-Age Star Clusters: A Correlation Between Turnoff Width and Early Escape Velocity
Paul Goudfrooij (1), Leo Girardi (2), Vera Kozhurina-Platais (1),, Jason S. Kalirai (1,3), Imants Platais (3), Thomas H. Puzia (4), Matteo, Correnti (1), Alessandro Bressan (5), Rupali Chandar (6), Leandro Kerber (7),, Paola Marigo (8), and Stefano Rubele (2) ((1) STScI

TL;DR
This study analyzes intermediate-age star clusters in the Magellanic Clouds, revealing that extended main sequence turnoffs are linked to early escape velocities and extended star formation, challenging explanations based solely on binary stars or stellar rotation.
Contribution
It demonstrates a correlation between turnoff width and early escape velocity, supporting the idea that extended star formation causes eMSTOs, which is a novel insight in cluster evolution.
Findings
eMSTO widths indicate age spreads of 200-550 Myr.
eMSTO pseudo-age distribution width correlates with escape velocity.
Clusters with early escape velocities above 15 km/s show eMSTOs.
Abstract
We present color-magnitude diagram analysis of deep Hubble Space Telescope imaging of a mass-limited sample of 18 intermediate-age (1 - 2 Gyr old) star clusters in the Magellanic Clouds, including 8 clusters for which new data was obtained. We find that star clusters in our sample feature extended main sequence turnoff (eMSTO) regions that are wider than can be accounted for by a simple stellar population (including unresolved binary stars). FWHM widths of the MSTOs indicate age spreads of 200-550 Myr. We evaluate dynamical evolution of clusters with and without initial mass segregation. Our main results are: (1) the fraction of red clump (RC) stars in secondary RCs in eMSTO clusters scales with the fraction of MSTO stars having pseudo-ages Gyr; (2) the width of the pseudo-age distributions of eMSTO clusters is correlated with their central escape velocity…
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.
