Bayesian calibration of the mixing length parameter $\alpha_{ML}$ and of the helium-to-metal enrichment ratio $\Delta Y/\Delta Z$ with open clusters: the Hyades test-bed
E. Tognelli, M. Dell'Omodarme, G. Valle, P. G. Prada Moroni, S., Degl'Innocenti

TL;DR
This study demonstrates a Bayesian method to accurately calibrate the helium abundance and mixing length parameter in star clusters, with application to the Hyades, highlighting the importance of prior metallicity knowledge for precise results.
Contribution
The paper introduces a Bayesian calibration approach for stellar parameters using cluster data, effectively recovering $oldsymbol{ ext{α}_{ML}}$ and $oldsymbol{ ext{ΔY/ΔZ}}$, and emphasizes the role of prior [Fe/H] knowledge.
Findings
$oldsymbol{ ext{α}_{ML}}$ is recovered with high precision (~few percent error).
Degeneracy between [Fe/H], $ ext{ΔY/ΔZ}$, and $oldsymbol{ ext{α}_{ML}}$ affects parameter recovery.
Prior [Fe/H] knowledge significantly improves parameter estimation accuracy.
Abstract
We tested the capability of a Bayesian procedure to calibrate both the helium abundance and the mixing length parameter (), using precise photometric data for main-sequence (MS) stars in a cluster with negligible reddening and well-determined distance. The method has been applied first to a mock data set generated to mimic Hyades MS stars and then to the real Hyades cluster. We tested the impact on the results of varying the number of stars in the sample, the photometric errors, and the estimated [Fe/H]. The analysis of the synthetic data set shows that is recovered with a very good precision in all the analysed cases (with an error of few percent), while [Fe/H] and the helium-to-metal enrichment ratio are more problematic. If spectroscopic determinations of [Fe/H] are not available and thus [Fe/H] has to be recovered alongside with $\Delta…
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