Diagnostics of Stellar Modelling from Spectroscopy and Photometry of Globular Clusters
George Angelou, Valentina D'Orazi, Thomas Constantino, Ross Church,, Richard Stancliffe, John Lattanzio

TL;DR
This study compares spectroscopic and photometric data of globular clusters with stellar models to evaluate their accuracy, revealing discrepancies at low metallicity and suggesting modifications to input physics and mixing processes.
Contribution
It provides a detailed comparison of observations and models, highlighting the need for metallicity-dependent overshooting and revised physics to improve stellar evolution predictions.
Findings
Models overestimate luminosity at first dredge-up in low-metallicity clusters.
Extra mixing begins at too high luminosities in models at low metallicity.
Adjustments to input physics and overshooting are needed to match observed magnitudes.
Abstract
We conduct a series of comparisons between spectroscopic and photometric observations of globular clusters and stellar models to examine their predictive power. Data from medium-to-high resolution spectroscopic surveys of lithium allow us to investigate first dredge-up and extra mixing in two clusters well separated in metallicity. Abundances at first dredge-up are satisfactorily reproduced but there is preliminary evidence to suggest that the models overestimate the luminosity at which the surface composition first changes in the lowest-metallicity system. Our models also begin extra mixing at luminosities that are too high, demonstrating a significant discrepancy with observations at low metallicity. We model the abundance changes during extra mixing as a thermohaline process and determine that the usual diffusive form of this mechanism cannot simultaneously reproduce both the carbon…
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