Applications of persistent homology in nuclear collisions
Gregory A. Hamilton, Travis Dore, Christopher J. Plumberg · Physical Review C · 2022
This paper applies methods of persistent homology---an approach used in topological data analysis to identify and study features that persist over different length scales---to heavy-ion collision data. It introduces a novel set of observables for the quantitative characterization of nuclear collisions and of their evolution. The work offers new ways to analyze the long-range flow correlations that have been interpreted theoretically with relativistic fluid dynamical models.