First models of the s process in AGB stars of solar metallicity for the stellar evolutionary code ATON with a novel stable explicit numerical solver

Aims. We describe the first s -process post-processing models for asymptotic giant branch (AGB) stars of masses 3, 4, and 5 M ⊙ at solar metallicity ( Z  = 0.018) computed using the input from the stellar evolutionary code A TON . Methods. The models are computed with the new code S NUPPAT ( S -proc...

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Veröffentlicht in:Astronomy and astrophysics (Berlin) 2022-01, Vol.657, p.A28
Hauptverfasser: Yagüe López, A., García-Hernández, D. A., Ventura, P., Doherty, C. L., den Hartogh, J. W., Jones, S. W., Lugaro, M.
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Sprache:eng
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Zusammenfassung:Aims. We describe the first s -process post-processing models for asymptotic giant branch (AGB) stars of masses 3, 4, and 5 M ⊙ at solar metallicity ( Z  = 0.018) computed using the input from the stellar evolutionary code A TON . Methods. The models are computed with the new code S NUPPAT ( S -process NUcleosynthesis Post-Processing code for A TON ), which includes an advective scheme for the convective overshoot that leads to the formation of the main neutron source, 13 C. Each model is post-processed with three different values of the free overshoot parameter. Included in the code S NUPPAT is the novel Patankar-Euler-Deflhard explicit numerical solver, which we use to solve the nuclear network system of differential equations. Results. The results are compared to those from other s -process nucleosynthesis codes (Monash, F RUITY , and NuGrid), as well as observations of s -process enhancement in AGB stars, planetary nebulae, and barium stars. This comparison shows that the relatively high abundance of 12 C in the He-rich intershell in A TON results in an s -process abundance pattern that favours the second over the first s -process peak for all the masses explored. Also, our choice of an advective as opposed to a diffusive numerical scheme for the convective overshoot results in significant s -process nucleosynthesis for the 5 M ⊙ models as well, which may be in contradiction with observations.
ISSN:0004-6361
1432-0746
DOI:10.1051/0004-6361/202039318