Identifying highly magnetized white dwarfs: A dimensionality reduction framework for estimating magnetic fields
This study employs unsupervised machine learning techniques, specifically UMAP and DBSCAN, to analyze hydrogen-atmosphere white dwarfs, successfully identifying distinct subpopulations that differentiate magnetized white dwarfs and enabling the estimation of magnetic field strengths for objects lacking direct measurements.