Constraining the original composition of the gas forming first-generation stars in globular clusters
M. V. Legnardi, A. P. Milone, L. Armillotta, A. F. Marino, G. Cordoni,, A. Renzini, E. Vesperini, F. D'Antona, M. McKenzie, D. Yong, E. Dondoglio, E., P. Lagioia, M. Carlos, M. Tailo, S. Jang, A. Mohandasan

TL;DR
This study uses high-precision Hubble data to show that first-generation stars in globular clusters have intrinsic chemical inhomogeneities, especially in metallicity, which challenges existing formation models of multiple stellar populations.
Contribution
The paper demonstrates that metallicity variations are responsible for the extended first-generation sequences, providing new constraints on globular cluster formation scenarios.
Findings
First-generation stars exhibit wider chemical sequences than second-generation stars.
Metallicity variations within first-generation stars range from <0.05 to 0.30 dex in [Fe/H].
Binaries contribute minimally to the observed chemical inhomogeneities.
Abstract
Disentangling distinct stellar populations along the red-giant branches (RGBs) of Globular Clusters (GCs) is possible by using the pseudo two-color diagram dubbed chromosome map (ChM). One of the most intriguing findings is that the so-called first-generation (1G) stars, characterized by the same chemical composition of their natal cloud, exhibit extended sequences in the ChM. Unresolved binaries and internal variations in helium or metallicity have been suggested to explain this phenomenon. Here, we derive high-precision Hubble Space Telescope photometry of the GCs NGC6362 and NGC6838 and build their ChMs. We find that both 1G RGB and main-sequence (MS) stars exhibit wider ChM sequences than those of second-generation (2G). The evidence of this feature even among unevolved 1G MS stars indicates that chemical inhomogeneities are imprinted in the original gas. We introduce a pseudo…
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.
