Universal Models for Heavy-Ion Fusion Cross Section Above-Barrier
The paper discusses a recent re-investigation of a large body of heavy-ion fusion cross section data with the aim of deriving a simple phenomenological model able to describe data from the Coulomb barrier up to the onset of nuclear multifragmentation. To this end, we adopted two complementary approa...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2023/16/epjconf_eunpc2023_02017.pdf |
| _version_ | 1797343919539748864 |
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| author | Lombardo Ivano Dell’Aquila Daniele Gnoffo Brunilde Redigolo Luigi Porto Francesco Russo Marco |
| author_facet | Lombardo Ivano Dell’Aquila Daniele Gnoffo Brunilde Redigolo Luigi Porto Francesco Russo Marco |
| author_sort | Lombardo Ivano |
| collection | DOAJ |
| description | The paper discusses a recent re-investigation of a large body of heavy-ion fusion cross section data with the aim of deriving a simple phenomenological model able to describe data from the Coulomb barrier up to the onset of nuclear multifragmentation. To this end, we adopted two complementary approaches: a first universal phenomenological model was derived exploiting a novel artificial intelligence tool for the formal modelling of large datasets. This tool is capable of advanced feature selection and is ideal to drive the discovery process even using traditional methods. A second phenomenological model was derived using a sum-of-difference approach and achieved an unprecedented accuracy in describing above-barrier fusion excitation functions data. Future perspectives and opportunities arising from the present models are also discussed in the text. |
| first_indexed | 2024-03-08T10:55:45Z |
| format | Article |
| id | doaj.art-eac50c48473247d08b4b892a70ecf06d |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-03-08T10:55:45Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-eac50c48473247d08b4b892a70ecf06d2024-01-26T16:38:38ZengEDP SciencesEPJ Web of Conferences2100-014X2023-01-012900201710.1051/epjconf/202329002017epjconf_eunpc2023_02017Universal Models for Heavy-Ion Fusion Cross Section Above-BarrierLombardo Ivano0Dell’Aquila Daniele1Gnoffo Brunilde2Redigolo Luigi3Porto Francesco4Russo Marco5Dipartimento di Fisica e Astronomia, University of CataniaDipartimento di Fisica "Ettore Pancini", University of Naples "Federico II"Dipartimento di Fisica e Astronomia, University of CataniaDipartimento di Fisica e Astronomia, University of CataniaDipartimento di Fisica e Astronomia, University of CataniaDipartimento di Fisica e Astronomia, University of CataniaThe paper discusses a recent re-investigation of a large body of heavy-ion fusion cross section data with the aim of deriving a simple phenomenological model able to describe data from the Coulomb barrier up to the onset of nuclear multifragmentation. To this end, we adopted two complementary approaches: a first universal phenomenological model was derived exploiting a novel artificial intelligence tool for the formal modelling of large datasets. This tool is capable of advanced feature selection and is ideal to drive the discovery process even using traditional methods. A second phenomenological model was derived using a sum-of-difference approach and achieved an unprecedented accuracy in describing above-barrier fusion excitation functions data. Future perspectives and opportunities arising from the present models are also discussed in the text.https://www.epj-conferences.org/articles/epjconf/pdf/2023/16/epjconf_eunpc2023_02017.pdf |
| spellingShingle | Lombardo Ivano Dell’Aquila Daniele Gnoffo Brunilde Redigolo Luigi Porto Francesco Russo Marco Universal Models for Heavy-Ion Fusion Cross Section Above-Barrier EPJ Web of Conferences |
| title | Universal Models for Heavy-Ion Fusion Cross Section Above-Barrier |
| title_full | Universal Models for Heavy-Ion Fusion Cross Section Above-Barrier |
| title_fullStr | Universal Models for Heavy-Ion Fusion Cross Section Above-Barrier |
| title_full_unstemmed | Universal Models for Heavy-Ion Fusion Cross Section Above-Barrier |
| title_short | Universal Models for Heavy-Ion Fusion Cross Section Above-Barrier |
| title_sort | universal models for heavy ion fusion cross section above barrier |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2023/16/epjconf_eunpc2023_02017.pdf |
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