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S-process nucleosynthesis - Classical approach and asymptotic giant branch models for low-mass stars

Kaeppeler, F., Gallino, R., Busso, M., Picchio, G., Raiteri, C. M.·1990·The Astrophysical Journal

Abstract

A critical comparison is made between the results of s-process nucleosynthesis obtained with the phenomenological classical approach and a stellar model for helium shell burning in low-mass stars. For the first time, close agreement is found between the abundances determined by the classical analysis and the results of a stellar model. The calculated abundances are found in good agreement with the s-process yields observed in solar material, and the corresponding quantities characterizing the neutron exposure are outlined in detail. Emphasis is laid on the information deduced from the abundance patterns in s-process branchings, i.e., neutron density and temperature. Despite the conceptual differences between the steady flow approximation of the classical approach and the dynamical environment of thermal pulses in low-mass stars, the results of both models are quite similar, but still obscured by the present uncertainties of the nuclear input data; further improvements are required to quantify the trends of the true physical conditions during the s-process which start to emerge from the above studies.

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Metadata

Authors
Kaeppeler, F., Gallino, R., Busso, M., Picchio, G., & Raiteri, C. M.
Venue
The Astrophysical Journal
Published
1990-05
Volume
354
Pages
630
ISSN
  • 0004-637X (ISSN-L)
  • 1538-4357
OpenAlex
W2017764890
Cited by
175
References
0
FWCI
20.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: S-process nucleosynthesis - Classical approach and asymptotic giant branch models for low-mass stars. https://app.cochat.ai/papers/10.1086/168720
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Kaeppeler, F., Gallino, R., Busso, M., Picchio, G., & Raiteri, C. M. (1990). S-process nucleosynthesis - Classical approach and asymptotic giant branch models for low-mass stars. The Astrophysical Journal. https://doi.org/10.1086/168720

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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