248 citations · 1.1k across the 18 of their papers we have counts for
18 papers
Ages and metallicities of stellar clusters using S-PLUS narrow-band integrated photometry: the Small Magellanic Cloud
Gabriel Fabiano de Souza, Pieter Westera, Felipe Almeida-Fernandes +14
The Magellanic Clouds are the most massive and closest satellite galaxies of the Milky Way, with stars covering ages from a few Myr up to 13 Gyr. This makes them important for vali…
On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2
L. Nakazono, C. Mendes de Oliveira, N. S. T. Hirata +25
This paper provides a catalogue of stars, quasars, and galaxies for the Southern Photometric Local Universe Survey Data Release 2 (S-PLUS DR2) in the Stripe 82 region. We show that…
Data Release 2 of S-PLUS: accurate template-fitting based photometry covering 1000 square degrees in 12 optical filters
F. Almeida-Fernandes, L. Sampedro, F. R. Herpich +26
The Southern Photometric Local Universe Survey (S-PLUS) is an ongoing survey of 9300 deg in the southern sky in a 12-band photometric system. This paper presents the seco…
An environmental dependence of the physical and structural properties in the Hydra Cluster galaxies
Ciria Lima-Dias, Antonela Monachesi, Sergio Torres-Flores +20
The nearby Hydra Cluster (50 Mpc) is an ideal laboratory to understand, in detail, the influence of the environment on the morphology and quenching of galaxies in dense envir…
One hundred SMUDGes in S-PLUS: ultra-diffuse galaxies flourish in the field
C. E. Barbosa, D. Zaritsky, R. Donnerstein +19
We present the first systematic study of the stellar populations of ultra-diffuse galaxies (UDGs) in the field, integrating the large area search and characterization of UDGs by th…
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…