https://doi.org/10.1140/epja/s10050-025-01546-0
Regular Article - Experimental Physics
Refining Big Bang Nucleosynthesis abundances via the Trojan Horse method
1
Dipartimento di Ingegneria e Architettura, Università di Enna ‘Kore’, P.zza dell’Università, 94100, Enna, Italy
2
Laboratori Nazionali del Sud, INFN, V. S. Sofia, 62, 95123, Catania, Italy
3
Dipartimento di Fisica e Astronomia ‘Ettore Majorana’, Universitá di Catania, V. S. Sofia, 64, 95123, Catania, Italy
4
Centro Siciliano di Fisica Nucleare e Struttura della Materia, CSFNSM, V. S. Sofia, 64, 95123, Catania, Italy
5
Dipartimento di Farmacia, Università degli Studi di Napoli “Federico II”, V. D. Montesano, 49, 80131, Napoli, Italy
6
Sezione di Napoli, INFN, V. Cintia, 80126, Napoli, Italy
7
Dipartimento di Fisica e Astronomia ‘Galileo Galilei’, Universitá degli Studi di Padova, V. F. Marzolo, 8, 35121, Padova, Italy
8
Sezione di Padova, INFN, V. F. Marzolo, 8, 35121, Padova, Italy
9
Dipartimento di Fisica e Geologia, Universitá degli Studi di Perugia, V. A. Pascoli, 06123, Perugia, Italy
10
Sezione di Perugia, INFN, V. A. Pascoli, 06123, Perugia, Italy
Received:
30
January
2025
Accepted:
12
March
2025
Published online:
10
April
2025
This work presents the Trojan Horse Method (THM) as a powerful technique for measuring nuclear reaction cross sections at astrophysical energies. We then explore the impact of THM-derived reaction rates on the predictions of Standard Big Bang Nucleosynthesis (SBBN) using the PRIMAT code. Primordial abundances are shown for the single rate impact and, for the first time, also for all the THM rates together. The result shows significant differences with the use of THM rates, which in some cases goes in the direction of improving the agreement with the observations with respect to the use of only reaction rates from direct data, especially for the 
and deuterium abundances, which are still open issues for SBBN.
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© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2025
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
