2 papers
astro-ph.SR2025
An Unsupervised Machine Learning Approach to Identify Spectral Energy Distribution Outliers: Application to the S-PLUS DR4 data
F. Quispe-Huaynasi, F. Roig, N. Holanda +12
Identification of specific stellar populations using photometry for spectroscopic follow-up is a first step to confirm and better understand their nature. In this context, we prese…
astro-ph.SR2025
The S-PLUS 12-band photometry as a powerful tool for discovery and classification: ten cataclysmic variables in a proof-of-concept study
Raimundo Lopes de Oliveira, Amanda S. de Araujo, Angela C. Krabbe +9
Multi-band photometric surveys provide a straightforward way to discover and classify astrophysical objects systematically, enabling the study of a large number of targets at relat…