TL;DR
This paper introduces a flexible metamodeling approach for the nuclear equation of state based on empirical parameters, enabling uncertainty quantification and exploration of density dependences relevant for neutron stars and supernovae.
Contribution
It develops a novel metamodeling framework for the nucleonic EOS using a Taylor expansion, allowing comprehensive uncertainty analysis and removal of spurious correlations.
Findings
The isovector parameters $L_{sym}$ and $K_{sym}$ are most influential.
Laboratory constraints at high densities are crucial for reducing uncertainties.
The metamodeling accurately reproduces original model predictions.
Abstract
A metamodeling for the nucleonic equation of state (EOS), inspired from a Taylor expansion around the saturation density of symmetric nuclear matter, is proposed and parameterized in terms of the empirical parameters. The present knowledge of nuclear empirical parameters is first reviewed in order to estimate their average values and associated uncertainties, and thus defining the parameter space of the metamodeling. They are divided into isoscalar and isovector type, and ordered according to their power in the density expansion. The goodness of the metamodeling is analyzed against the predictions of the original models. In addition, since no correlation among the empirical parameters is assumed a priori, all arbitrary density dependences can be explored, which might not be accessible in existing functionals. Spurious correlations due to the assumed functional form are also removed.…
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