| Issue |
EPJ Web Conf.
Volume 279, 2023
Nuclear Physics in Astrophysics – X (NPA-X 2022)
|
|
|---|---|---|
| Article Number | 06003 | |
| Number of page(s) | 5 | |
| Section | s process | |
| DOI | https://doi.org/10.1051/epjconf/202327906003 | |
| Published online | 22 March 2023 | |
https://doi.org/10.1051/epjconf/202327906003
The impact of n_TOF data on s-process modelling
1 Università di Bologna, Dipartimento di Fisica e Astronomia, Italy.
2 Istituto Nazionale di Astrofisica (INAF) Osservatorio Astronomico d’Abruzzo, Teramo, Italy
3 Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Perugia, Perugia, Italy
4 Istituto Nazionale di Fisica Nucleare (INFN), CNAF, Bologna, Italy
5 Agenzia nazionale per le nuove tecnologie, l’energia e lo sviluppo economico sostenibile (ENEA), Bologna, Italy
6 Goethe University Frankfurt, Max-von-Laue-Strasse 1, Frankfurt am Main 60438, Germany.
* e-mail: massimi@bo.infn.it
Published online: 22 March 2023
We show examples of the impact of the Maxwellian averaged capture cross sections determined at n_TOF over the past 20 years on AGB stellar nucleosynthesis models. In particular, we developed an automated procedure to derive MACSs from evaluated data libraries, which are subsequently used as input to stellar models computed by means of the FuNS code. In this contribution, we present a number of s-process abundances obtained using different data libraries as input to stellar models, with a focus on the role of n_TOF data.
© The Authors, published by EDP Sciences, 2023
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