4 citations · 4 across the 3 of their papers we have counts for
3 papers
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…
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…
A Broadband X-ray Investigation of Fast-Spinning Intermediate Polar CTCV J2056-3014
Ciro Salcedo, Kaya Mori, Gabriel Bridges +5
We report on XMM-Newton, NuSTAR, and NICER X-ray observations of CTCV J2056-3014, a cataclysmic variable (CV) with one of the fastest-spinning white dwarfs (WDs) at P = 29.6 s. Whi…