9 citations · 12 across the 4 of their papers we have counts for
8 papers
The Gaia-ESO Survey: Probing the lithium abundances in old metal-rich dwarf stars in the Solar vicinity
M. L. L. Dantas, G. Guiglion, R. Smiljanic +14
We test a scenario in which radial migration could affect the Li abundance pattern of dwarf stars in the solar neighbourhood. This may confirm that the Li abundance in these stars…
The Fornax Cluster through S-PLUS
A. V. Smith Castelli, C. Mendes de Oliveira, F. Herpich +25
The Southern Photometric Local Universe Survey (S-PLUS) aims to map 9300 deg of the Southern sky using the Javalambre filter system of 12 optical bands, 5 Sloan-like…
Women in academia: a warning on selection bias in gender studies from the astronomical perspective
M. L. L. Dantas, E. Cameron, Rafael S. de Souza +13
The recent paper by AlShebli et al. (2020) investigates the impact of mentorship in young scientists. Among their conclusions, they state that female protégés benefit more from mal…
UV upturn versus UV weak galaxies: differences and similarities of their stellar populations unveiled by a de-biased sample
M. L. L. Dantas, P. R. T. Coelho, P. Sánchez-Blázquez
The ultraviolet (UV) upturn is characterised by an unexpected up-rise of the UV flux in quiescent galaxies between the Lyman limit and 2500Å. By making use of colour-colour diagram…
AGN dichotomy beyond radio loudness: a Gaussian Mixture Model analysis
Pedro P. B. Beaklini, Allan V. C. Quadros, Marcio G. B. de Avellar +2
Since the discovery of Quasi-stellar Objects (QSOs), also known as quasars, they have been traditionally subdivided as radio-loud and radio-quiet sources. Whether such division is…
The S-PLUS: a star/galaxy classification based on a Machine Learning approach
M. V. Costa-Duarte, L. Sampedro, A. Molino +32
We present a star/galaxy classification for the Southern Photometric Local Universe Survey (S-PLUS), based on a Machine Learning approach: the Random Forest algorithm. We train the…