| Autor: |
Lebois Matthieu, Jovančević Nikola, Thisse Damien, Wilson Jonathan, Canavan Rhiann, Rudigier Mathias |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
EPJ Web of Conferences, Vol 256, p 00008 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2100-014X |
| DOI: |
10.1051/epjconf/202125600008 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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