Principal component analysis within nuclear structure

TL;DR

This paper applies principal component analysis to nuclear structure parameters to identify collective behaviors and underlying influences, providing a simplified approach to analyze nuclear collectivity.

Contribution

It introduces PCA as a novel method for analyzing nuclear parameters related to collectivity and dynamical symmetries in nuclear structure.

Findings

PCA effectively identifies key parameters affecting nuclear collectivity.

The method simplifies the analysis of complex nuclear data.

Results suggest PCA can predict candidate nuclei for specific symmetries.

Abstract

The principal component analysis (PCA) of different parameters affecting collectivity of nuclei predicted to be candidate of the interacting boson model dynamical symmetries are performed. The results show that, the use of PCA within nuclear structure can give us a simple way to identify collectivity together with the parameters simultaneously affecting it.