Valente, Antonin and Lopez, Olivier (2025) Toward a better characterization of the nuclear EOS using central collisions around Fermi energy. Il nuovo cimento C, 48 (2). pp. 1-7. ISSN 1826-9885
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Abstract
This study presents a novel approach to characterize the nu clear equation of state (EOS) using central heavy-ion collisions in the Fermi energy domain. We analyze experimental data from Nickel-Nickel collisions at 52–90 MeV/nucleon, recorded with the INDRA 4π array at GANIL, employing Artificial Intelligence (AI) and Machine Learning (ML) techniques. Our methodology introduces a neural-network–based reconstruction of the impact parameter, trained on HIPSE and ELIE simulations, achieving sub-femtometer accuracy. This enables precise selection of central collision events for in-depth analysis. We then implement a Bayesian inference framework to estimate in-medium nucleon-nucleon crosssections, utilizing Kolmogorov-Smirnov probabilities calculated over an extensive set of global observables. Preliminary results demonstrate consistency with previous phenomenological studies, particularly for reactions below 100MeV/nucleon. The Bayesian approach provides both mean cross-section values and associated uncertainties, offering a more comprehensive characterization of nuclear medium effects. We discuss ongoing efforts to extend this methodology to estimate average and maximum densities reached in collisions, as well as plans to investigate the isospin dependence of the EOS using recent INDRA data. These advancements aim to provide improved constraints on the nuclear EOS across a range of densities and isospin asymmetries, contributing to our understanding of nuclear matter properties in both terrestrial experiments and astrophysical contexts.
| Item Type: | Article |
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| Subjects: | 500 Scienze naturali e Matematica > 530 Fisica |
| Depositing User: | Marina Spanti |
| Date Deposited: | 18 Apr 2025 11:55 |
| Last Modified: | 18 Apr 2025 11:55 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/23562 |
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