Persistent topology of the reionization bubble network. II: Evolution & Classification
Willem Elbers, Rien van de Weygaert

TL;DR
This paper uses persistent homology to analyze the topology of ionized regions during the Epoch of Reionization, revealing that tunnels dominate and are most sensitive to astrophysical parameters, offering new insights beyond traditional methods.
Contribution
It introduces a novel application of persistent homology to classify and understand the topology of reionization bubbles and their evolution, linking topological features to astrophysical properties.
Findings
Tunnels dominate the topology during reionization.
Persistent homology can differentiate astrophysical models.
Topological features provide information beyond the power spectrum.
Abstract
We study the topology of the network of ionized and neutral regions that characterized the intergalactic medium during the Epoch of Reionization. Our analysis uses the formalism of persistent homology, which offers a highly intuitive and comprehensive description of the ionization topology in terms of the births and deaths of topological features. Features are identified as -dimensional holes in the ionization bubble network, whose abundance is given by the th Betti number: for ionized bubbles, for tunnels, and for neutral islands. Using semi-numerical models of reionization, we investigate the dependence on the properties of sources and sinks of ionizing radiation. Of all topological features, we find that the tunnels dominate during reionization and that their number is easiest to observe and most sensitive to the astrophysical parameters of…
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Taxonomy
TopicsFractal and DNA sequence analysis · Artificial Immune Systems Applications · Topological and Geometric Data Analysis
