Issue |
EPJ Web Conf.
Volume 304, 2024
HINPw7 – 7th International Workshop of the Hellenic Institute of Nuclear Physics on Nuclear Structure, Astrophysics and Reaction Dynamics
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Article Number | 01004 | |
Number of page(s) | 7 | |
Section | Reaction Dynamics | |
DOI | https://doi.org/10.1051/epjconf/202430401004 | |
Published online | 08 October 2024 |
https://doi.org/10.1051/epjconf/202430401004
Heavy-ion induced double charge exchange reaction in a multi-channel approach: The research program of the NUMEN project
1 Dipartimento di Fisica e Astronomia “Ettore Majorana”, Università di Catania, Catania, Italy
2 Istituto Nazionale di Fisica Nucleare – Laboratori Nazionali del Sud, Catania, Italy
3 Institut für Theoretische Physik, Justus-Liebig-Universität Giessen, 35392 Gießen, Germany
4 School of Physics and Astronomy Tel Aviv University, Tel Aviv, Israel
5 Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
6 Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Italy
7 Dipartimento di Matematica e Fisica, Università della Campania “Luigi Vanvitelli”, Caserta, Italy
8 Instituto de Física, Universidade Federal Fluminense, Niterói, Brazil
9 Istituto Nazionale di Fisica Nucleare, Sezione di Genova, Italy
10 Departamento de FAMN, University of Seville, Spain
11 Instituto Carlos I de Física Teórica y Computacional, University of Seville, Spain
* e-mail: cappuzzello@lns.infn.it
Published online: 8 October 2024
We give an updated view of the status and prospects of heavy-ion double charge exchange (HI-DCE) reaction studies performed at the Laboratori Nazionali del Sud of the Istituto Nazionale di Fisica Nucleare (INFN-LNS) in the context of the NUMEN project. The important role of HI-DCE for nuclear reaction, nuclear structure and double beta-decay investigations is outlined. A powerful way to scrutinize the nuclear response to HI-DCE is to consistently link it to the information extracted from the competing direct reactions pointing to a multi-channel description of the whole network of quasi-elastic processes. Indeed, these complementary studies are mandatory in order to minimize the systematic errors in the data analyses and build a many-facets and parameter-free representation of the systems under study.
© The Authors, published by EDP Sciences, 2024
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