| Issue |
EPJ Web Conf.
Volume 256, 2021
Scientific Workshop on “Nuclear Fission Dynamics and the Emission of Prompt Neutrons and Gamma Rays” (Theory-5)
|
|
|---|---|---|
| Article Number | 00008 | |
| Number of page(s) | 12 | |
| DOI | https://doi.org/10.1051/epjconf/202125600008 | |
| Published online | 15 December 2021 | |
https://doi.org/10.1051/epjconf/202125600008
The v-Ball campaign at ALTO: Study for neural network based trigger for fission process
1 Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
2 Institut Universitaire de France, 1 Rue Descartes, 75005 Paris, France
3 Department of Physics, Faculty of Science, University of Novi Sad, Trg Dositeja Obradovica 3, 21000 Novi Sad, Serbia
4 Department of Physics, University of Surrey, Guildford, GU2 7XH, UK
5 National Physical Laboratory, Teddington, UK
* e-mail: lebois@ijclab.in2p3.fr
Published online: 15 December 2021
A γ-spectroscopy campaign named “ν-Ball” was perfomed at the ALTO facility. A large fraction of the beam time was dedicated to the fast neutron induced fission of two fissioning systems: 232Th and 238U. During the data analysis, it was noticed that the high activity of the natTh was heavily contaminating any coincidence matrices (or cubes) built. This caused the identification of weakly produced fission fragments identification to be almost impossible. It was decided to explore the opportunity opened by new analysis methods based on neural networks algorithms. In this paper, the methods to build an adequate neural network and the results obtained for fission event reconstruction are presented.
© The Authors, published by EDP Sciences, 2021
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