More than a void? The detection and characterization of cavities in a simulated galaxy's interstellar medium
Abolfazl Taghribi, Marco Canducci, Michele Mastropietro, Sven De, Rijcke, Reynier Frans Peletier, Peter Tino, Kerstin Bunte

TL;DR
This paper introduces an automated method using persistent homology to detect and analyze cavities in simulated galaxy interstellar media, revealing that many are not related to stellar feedback and differ in properties.
Contribution
The study presents a novel, objective technique for cavity detection in simulations, enabling detailed analysis of cavity properties and their relation to stellar activity.
Findings
Detected 808 cavities in simulation snapshots.
Less than 40% of cavities linked to stellar evolution.
36% of cavities are contracting, 59% expanding.
Abstract
The interstellar medium of galaxies is filled with holes, bubbles, and shells, typically interpreted as remnants of stellar evolution. There is growing interest in the study of their properties to investigate stellar and supernova feedback. So far, the detection of cavities in observational and numerical data is mostly done visually and, hence, is prone to biases. Therefore, we present an automated, objective method for discovering cavities in particle simulations, with demonstrations using hydrodynamical simulations of a dwarf galaxy. The suggested technique extracts holes based on the persistent homology of particle positions and identifies tight boundary points around each. With a synthetic ground-truth analysis, we investigate the relationship between data density and the detection radius, demonstrating that higher data density also allows for the robust detection of smaller…
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