Discrepancies between spectroscopy and HST photometry in tagging multiple stellar populations in 22 globular clusters
Eugenio Carretta (1), Angela Bragaglia (1) ((1) INAF-Osservatorio di, Astrofisica e Scienza dello Spazio di Bologna)

TL;DR
This study compares spectroscopic and photometric methods for identifying multiple stellar populations in 22 globular clusters, revealing significant discrepancies and overestimations of first-generation stars by photometry.
Contribution
The paper provides a comprehensive analysis linking HST photometry with spectroscopic abundances across 22 GCs, correcting previous mismatches and offering a large dataset for future research.
Findings
Photometric pseudo-colours do not correlate monotonically with Na abundances.
Approximately 16% of stars are misclassified between first and second generations.
Photometry tends to overestimate first-generation star fractions, especially in low-mass GCs.
Abstract
Multiple populations (MPs) in globular clusters (GCs) are stars distinct by their abundances of light elements. The MPs can be directly separated by measuring abundances of C, N, O, Na, Al, Mg with spectroscopy or indirectly from photometric sequences created by the impact of different chemistry on band passes of particular filters, such as the HST pseudo-colours in the ultraviolet. An attempt to link HST pseudo-colours maps (PCMs) and spectroscopy was done by Marino et al. (2019), using abundances mostly from our FLAMES survey. However, we uncovered that an incomplete census of stars in common was used in their population tagging. We correct the situation by building our own PCMs and matching them with our abundances in 20 GCs, plus two GCs from other sources, doubling the sample with spectroscopic abundances available. We found that the pseudo-colour (magF275W-2*magF336W+magF438W)…
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