Barium stars as tracers of s-process nucleosynthesis in AGB stars III. Systematic deviations from the AGB models

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 underproduction of the elements Nb, Mo, and Ru in the models relative to the observations. This may originate from a process (e.g. the intermediate neutron-capture process, i process) at the metallicity of the Ba stars not yet included in the AGB models. Correlations are found between the residuals of these elements, suggesting a common origin for the deviations. In addition, there is a weak metallicity dependence of their residuals. The s-process temperatures derived with the [Zr/Fe] - [Nb/Fe] thermometer have an unrealistic value for the majority of our stars. The most likely explanation is that at least a fraction of these elements are not produced in a steady-state s process, and instead may be due to processes not included in the AGB models. The mass distribution of the identified models confirms that our sample of Ba stars was polluted by low-mass AGB stars. Most of the matching AGB models require low accreted mass, but a few systems with high accreted mass are needed to explain the observations. (abridged)