Photometric properties of stellar populations in Galactic globular clusters: the role of the Mg-Al anticorrelation
Santi Cassisi (INAF - Astronomical Observatory Teramo, Italy), Alessio, Mucciarelli (Dipartimento di Fisica e Astronomia, Universita' degli Studi di, Bologna, Italy), Adriano Pietrinferni (INAF - Astronomical Observatory of, Teramo), Maurizio Salaris (ARI

TL;DR
This study models the impact of Mg-Al anticorrelations on stellar populations in globular clusters, finding negligible effects on stellar evolution but identifying spectral features useful for chemical analysis.
Contribution
It extends previous models by including Mg-Al anticorrelations, showing their minimal impact on stellar models and spectra, and proposes narrow-band filters to detect Mg variations.
Findings
Mg-Al anticorrelations have negligible effect on stellar models and isochrones.
A spectral feature at 490-520 nm is identified for MgH molecular bands.
Narrow-band filters can detect Mg abundance variations in stars.
Abstract
We have computed low-mass stellar models and synthetic spectra for an initial chemical composition that includes the full C-N, O-Na, and Mg-Al abundance anticorrelations observed in second generation stars belonging to a number of massive Galactic globular clusters. This investigation extends a previous study that has addressed the effect of only the C-N and O-Na anticorrelations, seen in all globulars observed to date. We find that the impact of Mg-Al abundance variations at fixed [Fe/H] and Helium abundance is negligible on stellar models and isochrones (from the main sequence to the tip of the red giant branch) and bolometric corrections, when compared to the effect of C-N and O-Na variations. We identify a spectral feature at 490-520 nm, for low-mass main sequence stars, caused by MgH molecular bands. This feature has a vanishingly small effect on bolometric corrections for Johnson…
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.
