205 citations · 241 across the 4 of their papers we have counts for
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astro-ph.SR2025★ 4 cited
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.SR2019★ 21 cited
Probing the weak wind phenomenon in Galactic O-type giants
E. S. G. de Almeida, W. L. F. Marcolino, J. -C. Bouret +1
Analyses of Galactic late O dwarfs (O8-O9.5V) raised the `weak wind problem': spectroscopic mass loss rates () are up to two orders of magnitude lower than the theoretical…