White Dwarf Spectral Analysis: Applying Unsupervised Machine Learning to the Gaia XP Coefficients
Identifying new white dwarfs (WDs) heavy elements is crucial, as they serve as valuable tools for deducing the chemical characteristics of potential planetary systems accreting material onto their surfaces. To detect metallic WDs, we propose a methodology based on an unsupervised learning technique known as Self-Organizing Maps (SOM). This approach
Pérez-Couto, X. et al.
Fecha de publicación:
5
2025