Embedded Random Matrix Ensembles to Statistical Shell Model: Operation of $q$-normal forms
摘要
Embedded random matrix ensembles operating in nuclear shell model spaces, with nucleons occupying a finite set of single particle orbits and interacting via a two-body interaction, form the basis for statistical shell model. With sufficiently strong interaction, the level densities in shell model spaces take close to a Gaussian form and transition strength distributions close to a bivariate Gaussian form. In practice, partitioning via spherical configurations () and angular momentum (also isospin where appropriate) are essential. The resulting statistical spectroscopy or statistical shell model was applied successfully in the past in some studies of nuclear level densities, orbit occupancies, -decay matrix elements and so on. Going beyond these, recently it is recognized that embedded ensembles, in a better approximation, generate in-fact -normal form ( gives Gaussian and Wigner's semi-circle) for density of eigenvalues, bivariate -normal form for transition strengths and conditional -normal form for strength functions. These then allow us to develop statistical shell model with -normal forms. These new developments in embedded ensembles and statistical shell model are briefly reviewed in this paper. Also described, using some examples, is the role of the parameter in generating statistical properties of general quantum many-particle systems.
引用
@article{arxiv.2606.29210,
title = {Embedded Random Matrix Ensembles to Statistical Shell Model: Operation of $q$-normal forms},
author = {V. K. B. Kota and N. D. Chavda and Manan Vyas},
journal= {arXiv preprint arXiv:2606.29210},
year = {2026}
}
备注
27 pages, 10 figures, to be submitted to NTSE-2026 special issue in Journal of Subatomic Particles and Cosmology