Barium stars as tracers of s-process nucleosynthesis in AGB stars III. Systematic deviations from the AGB models
B. Vil\'agos, B. Cseh, A. Yag\"ue L\'opez, M. Joyce, A. Karakas, G., Tagliente, M. Lugaro

TL;DR
This study uses machine learning to compare observed s-process element abundances in 180 Ba stars with AGB star models, revealing systematic deviations likely due to additional nucleosynthesis processes not included in current models.
Contribution
Introduces a machine learning approach to identify discrepancies between Ba star observations and AGB nucleosynthesis models, highlighting the need to consider additional processes like the i process.
Findings
Significant underproduction of Nb, Mo, and Ru in models compared to observations.
Correlations among residuals suggest a common origin for deviations.
Weak metallicity dependence of residuals observed.
Abstract
Barium (Ba) stars help to verify asymptotic giant branch (AGB) star nucleosynthesis models since they experienced pollution from an AGB binary companion and thus their spectra carry the signatures of the slow neutron capture process (s process). For 180 Ba stars, we searched for AGB stellar models that match the observed abundance patterns. We employed three machine learning algorithms as classifiers: a Random Forest method, developed for this work, and the two classifiers used in our previous study. We studied the statistical behaviour of the s-process elements in the observational sample to investigate if the AGB models systematically under- or overpredict the abundances observed in the Ba stars and show the results in the form of violin plots of the residuals between spectroscopic abundances and model predictions. We find a significant trend in the residuals that implies an…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Astro and Planetary Science
