Mehta, V. J., Milone, A. P., Casagrande, L., et al. (2024). Spectro-Photometry and Radial Distribution of Multiple Stellar Populations in Globular Clusters from Gaia XP Spectra. Monthly Notices of the Royal Astronomical Society, 000, 000–000. Preprint retrieved from arXiv:2406.02755v2 [astro-ph.SR]
This study aims to develop a new method for identifying and analyzing multiple stellar populations in globular clusters (GCs) using low-resolution Gaia XP spectra and to investigate the radial distribution of these populations to gain insights into GC formation and evolution.
The researchers utilized Gaia DR3 low-resolution XP spectra to define new photometric bands sensitive to the chemical composition variations between first-population (1P) and second-population (2P) stars in GCs. They tested these bands by constructing pseudo two-color diagrams called chromosome maps (ChMs) for five GCs: 47 Tucanae, NGC 3201, NGC 6121, NGC 6752, and NGC 6397. By analyzing the distribution of stars in these ChMs, the researchers identified 1P and 2P stars and investigated their radial distribution within each cluster.
The study demonstrates the effectiveness of Gaia XP spectra in identifying and analyzing multiple stellar populations in GCs. The observed radial distributions in the studied clusters support the scenario where 2P stars originate in the central regions of GCs and exhibit greater initial central concentration than 1P stars. The findings contradict recent suggestions that 1P stars might form with more central concentrations in some GCs.
This research provides a valuable new tool for studying multiple populations in GCs using readily available Gaia data. The findings contribute to our understanding of GC formation and evolution by providing observational constraints for theoretical models.
The study acknowledges limitations in disentangling 1P and 2P stars with moderate light-element variations, particularly in metal-poor GCs. Future research could focus on refining the method for analyzing such populations and expanding the analysis to a larger sample of GCs to further investigate the diversity of radial distributions and their implications for GC formation scenarios.
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by V. J. Mehta,... at arxiv.org 11-12-2024
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