18-22 September 2023
GSI Darmstadt, Germany
Europe/Berlin timezone

Bayesian inference of the dense matter equation of state built within mean field models

21 Sep 2023, 16:35
25m
Theory Seminar Room (GSI)

Theory Seminar Room

GSI

SB3 3.170a
Oral Combined analysis of nuclear and astrophysics information, Bayesian approach, and machine learning Combined analysis of nuclear and astrophysics information, Bayesian approach, and machine learning

Speaker

Adriana R. Raduta (IFIN-HH, Bucharest)

Description

In the last years Bayesian techniques are employed more and more frequently to build equations of state of dense neutron rich matter by imposing various sets of constraints on functional relations derived within models with different degrees of sophistication and physical underpinning. In this talk I shall confront the results obtained when the same constraints are imposed to models of equation of state generated within the non-relativistic mean field model with Skyrme interactions and
the covariant density functional theory with density dependent couplings.

Primary authors

Adriana R. Raduta (IFIN-HH, Bucharest) Dr Mikhail Beznogov (IFIN-HH)

Presentation Materials