Issue |
EPJ Web of Conf.
Volume 290, 2023
European Nuclear Physics Conference (EuNPC 2022)
|
|
---|---|---|
Article Number | 08006 | |
Number of page(s) | 4 | |
Section | P8 Nuclear Physics Applications | |
DOI | https://doi.org/10.1051/epjconf/202329008006 | |
Published online | 08 December 2023 |
https://doi.org/10.1051/epjconf/202329008006
Nuclear fragmentation cross section measurements with the FOOT experiment
1 INFN, Sezione di Bologna - Bologna, Italy
2 Dipartimento di Fisica e Astronomia "Augusto Righi", Università di Bologna - Bologna, Italy
* e-mail: Riccardo.Ridolfi@bo.infn.it
Published online: 8 December 2023
Different fields can profit by nuclear fragmentation cross section measurements: among them hadrontherapy and space radioprotection are of particular interest. Hadrontherapy employs high-energy beams of charged particles (protons and heavier ions) to treat deep-seated tumours. In these treatments nuclear interactions have to be considered: beam particles can fragment in the human body releasing a non-zero dose beyond the tumour while fragments of human body nuclei can modify the dose released in healthy tissues.
On the radioprotection side, the interest in long-term manned space missions beyond Low Earth Orbit is growing in these years but it has to cope with significant health concerns from radiation in space, necessitating an accurate cross section data description. The FOOT (FragmentatiOn Of Target) experiment was proposed to cover these gaps in data. It was designed to detect, track and identify nuclear fragments and aims to measure double differential cross sections both in angle and kinetic energy which is the most complete information to address existing questions. The FOOT experimental setups, the experimental program and a first cross section analysis of 400 MeV/u 16O beam on Carbon target data acquired in July 2021 at GSI (Darmstadt, Germany) will be presented.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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