Constraining the neutron-proton effective mass splitting using empirical constraints on the density dependence of nuclear symmetry energy around normal density

TL;DR

This paper uses empirical constraints on nuclear symmetry energy to infer the neutron-proton effective mass splitting in neutron-rich matter, highlighting current uncertainties and the need for improved analysis techniques.

Contribution

It links symmetry energy constraints to neutron-proton effective mass splitting and assesses the current state of knowledge and uncertainties.

Findings

Mean effective mass splitting values are consistent across studies.

Current data cannot definitively confirm the sign of the splitting.

Reducing uncertainties requires advanced statistical and computational methods.

Abstract

According to the Hugenholtz-Van Hove theorem, nuclear symmetry energy \esym and its slope \lr at an arbitrary density $\rho$ are determined by the nucleon isovector (symmetry) potential \usym and its momentum dependence $\frac{\partial U_{sym}}{\partial k}$. The latter determines uniquely the neutron-proton effective k-mass splitting $m^*_{n-p}(\rho,\delta)\equiv (m_{\rm n}^*-m_{\rm p}^*)/m$ in neutron-rich nucleonic matter of isospin asymmetry $\delta$. Using currently available constraints on the \es0 and \l0 at normal density $\rho_0$ of nuclear matter from 28 recent analyses of various terrestrial nuclear laboratory experiments and astrophysical observations, we try to infer the corresponding neutron-proton effective k-mass splitting $m^*_{n-p}(\rho_0,\delta)$. While the mean values of the $m^*_{n-p}(\rho_0,\delta)$ obtained from most of the studies are remarkably consistent with each other and scatter very closely around an empirical value of \emass$=0.27\cdot\delta$, it is currently not possible to scientifically state surely that the \emass is positive within the present knowledge of the uncertainties. Quantifying, better understanding and then further reducing the uncertainties using modern statistical and computational techniques in extracting the \es0 and \l0 from analyzing the experimental data are much needed.