Inferring the Symmetry Energy from Measurements of Isovector Nuclear Properties: The Effects of Skyrme Parameter Fitting
Master of Science (MS)
Physics and Astronomy
Date of Award
Historically, when Skyrme model parameters ﬁt to nuclear data have been adjusted, usually the parameters that determine the symmetry energy were changed and the rest were left alone. Since all Skyrme parameters are ﬁt to nuclear data, the quality of the symmetry energy inference decreases when not all parameters are reﬁt after adjustment. We show the result of inferring the magnitude J, slope L, and curvature Ksym of the symmetry energy from electric dipole polarizability αD, neutron skin thickness rn, charge radius rch, binding energy BE, and PNM constraints and how using diﬀerent sets of the aforementioned data aﬀects the symmetry energy parameter inference. We demonstrate that the posterior distributions produced after incorporating modeling errors (without reﬁtting) into data sets are qualitatively similar to posterior distributions using reﬁt data, saving time at the cost of tighter constraints. We also demonstrate the eﬀectiveness of the simulated annealing method from which one can expect an order of magnitude reduction in χ2.
Physical Sciences and Mathematics | Physics
Ross, Michael, "Inferring the Symmetry Energy from Measurements of Isovector Nuclear Properties: The Effects of Skyrme Parameter Fitting" (2022). Electronic Theses & Dissertations. 1024.