Mixing and magnetic fields in asymptotic giant branch stars in the framework of FRUITY models

  • In the last few years, the modeling of asymptotic giant branch (AGB) stars has been much investigated, both focusing on nucleosynthesis and stellar evolution aspects. Recent advances in the input physics required for stellar computations made it possible to construct more accurate evolutionary models, which are an essential tool to interpret the wealth of available observational and nucleosynthetic data. Motivated by such improvements, the FUNS stellar evolutionary code has been updated. Nonetheless, mixing processes occurring in AGB stars’ interiors are currently not well-understood. This is especially true for the physical mechanism leading to the formation of the 13C pocket, the major neutron source in low-mass AGB stars. In this regard, post-processing s-process models assuming that partial mixing of protons is induced by magneto-hydrodynamics processes were shown to reproduce many observations. Such mixing prescriptions have now been implemented in the FUNS code to compute stellar models with fully coupled nucleosynthesis. Here, we review the new generation of FRUITY models that include the effects of mixing triggered by magnetic fields by comparing theoretical findings with observational constraints available either from the isotopic analysis of trace-heavy elements in presolar grains or from carbon AGB stars and Galactic open clusters.

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Author:Diego VescoviORCiD
Parent Title (English):Universe
Place of publication:Basel
Document Type:Article
Date of Publication (online):2021/12/28
Date of first Publication:2021/12/28
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2023/11/16
Tag:asymptotic giant branch stars; chemically peculiar stars; circumstellar dust; galactic chemical evolution; magnetic fields; nuclear reaction cross-sections; nucleosynthesis; s-process; stellar abundances
Issue:1, art. 16
Article Number:16
Page Number:20
First Page:1
Last Page:20
This work was supported by the German-Israeli Foundation (GIF No. I-1500-303.7/2019).
Presolar grain data are from the Presolar Grain Database of the Laboratory for Space at Washington University in St. Louis, USA (https://presolar.physics.wustl.edu/presolar-grain-database (accessed on 2 December 2021)).
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International