Sep 9 – 14, 2024
Caen
Europe/Paris timezone

Session

Combined analysis of nuclear and astrophysics information, Bayesian approach, and machine learning

Sep 12, 2024, 2:00 PM
GANIL Guest House (Caen)

GANIL Guest House

Caen

Conveners

Combined analysis of nuclear and astrophysics information, Bayesian approach, and machine learning

  • Arnaud Le Fèvre (GSI Helmholtzzentrum für Schwerionenforschung GmbH)

Combined analysis of nuclear and astrophysics information, Bayesian approach, and machine learning

  • David Tsang (University of Bath)

Presentation materials

There are no materials yet.
Betty Tsang (NSCL/Michigan State University)
9/12/24, 2:00 PM
Invited Presentation
Mr Pietro Klausner (Laboratoire de Physique Corpusculaire, CNRS, ENSICAEN, UMR6534, Université de Caen Normandie, CEDEX, 14050 Caen, France / Dipartimento di Fisica Aldo Pontremoli, Università degli Studi di Milano, 20133 Milano, Italy / INFN, Sezione di Milano, 20133 Milano, Italy)
9/12/24, 3:40 PM
Combined analysis of nuclear and astrophysics information, Bayesian approach, and machine learning
Oral Presentation

The Equation of State (EoS) is crucial for understanding the structure of compact objects such as neutron stars. In the conservative hypothesis of a purely nucleonic composition of neutron star matter, the EoS is fully determined in terms of the so-called nuclear matter parameters (NMPs), which, in principle, can be determined from nuclear theory and experiments, though with error bars....

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