| Issue |
EPJ Web Conf.
Volume 342, 2025
14th International Spring Seminar on Nuclear Physics “Cutting-Edge Developments in Nuclear Structure Physics”
|
|
|---|---|---|
| Article Number | 01006 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202534201006 | |
| Published online | 21 November 2025 | |
https://doi.org/10.1051/epjconf/202534201006
Bayesian inferences of Skyrme Energy Density Functionals
1 Dipartimento di Fisica “Aldo Pontremoli”, Università degli Studi di Milano, 20133 Milano, Italy
2 INFN, Sezione di Milano, 20133 Milano, Italy
3 Laboratoire de Physique Corpusculaire L.P.C., CNRS, ENSICAEN, UMR6534, Université de Caen Normandie, CEDEX, 14050 Caen, France
4 Departament de Física Quàntica i Astrofísica, Martí i Franqués, 1, 08028 Barcelona, Spain
5 Institut de Ciències del Cosmos, Universitat de Barcelona, Martí i Franqués, 1, 08028 Barcelona, Spain
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Published online: 21 November 2025
Abstract
Nuclear Density Functional Theory (DFT) is the microscopic nuclear model with the broadest range of applicability; at the same time, several ways to parameterise an Energy Density Functional (EDF) exist, and improvements in the performances of the different EDFs seem to have slowed down in recent years. In this contribution, results of different Bayesian inferences of the Skyrme parameters will be discussed; in particular, we will focus on the differences related to the use of different target observables.
© The Authors, published by EDP Sciences, 2025
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