• Media type: E-Article
  • Title: The impact of n_TOF data on s-process modelling
  • Contributor: Lanzi, Samuele; Cristallo, Sergio; Giacomini, Francesco; Massimi, Cristian; Mengoni, Alberto; Vescovi, Diego
  • imprint: EDP Sciences, 2023
  • Published in: EPJ Web of Conferences
  • Language: Not determined
  • DOI: 10.1051/epjconf/202327906003
  • ISSN: 2100-014X
  • Keywords: General Earth and Planetary Sciences ; General Engineering ; General Environmental Science
  • Origination:
  • Footnote:
  • Description: <jats:p>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.</jats:p>
  • Access State: Open Access