Ignacio Morales-Gil | Searcharxiv

arXiv2026

Topology of molecular clouds in the PHANGS-JWST catalogue in relation to the physical characteristics of their galaxies

Molecular clouds are affected by dynamical processes such as cloud merging and stellar feedback that alter their topology. For this reason, the molecular clouds in the PHANGS-JWST catalogue are studied under the light of topological data analysis. This study shows correlations between physical characteristics of galaxies and topological summaries of molecular clouds.

astro-ph.GA↗

arXiv2025

Predictability of bursts of a recurrent nova using topological data analysis and machine learning

RS Oph is a recurrent nova, a kind of cataclismic variable that shows bursts in a period approximately shorter than a century. Persistent homology, a technique from topological data analysis, studies the evolution of topological features of a simplicial complex composed of the data points or an embedding of them, as some distance parameter is varied. For this work I trained a supervised learning model based on several featurizations, namely persistence landscapes, Carlsson coordinates, persistent images, and template functions, of the persistence diagrams of sections of the lightcurve of RS Oph. A tenfold cross validation of the model based on one of the featurizations, persistence landscapes, consistently shows high recalls and accuracies. This method serves the purpose of predicting whether RS Oph is bursting within a year.

astro-ph.IM↗