140 citations · 159 across the 5 of their papers we have counts for
11 papers · 1 filter
The S-PLUS Fifth Data-Release: Over 4500 square degrees of the Southern Sky and a multicolor view of the Hydra and Antlia galaxy clusters
Erik Vinicius Rodrigues de Lima, Gustavo Bernhard Oliveira Schwarz, Fábio Rafael Herpich +55
We present the 5th data release (DR5) of the Southern Photometric Local Universe Survey (S-PLUS), covering 4592 square degrees across 2491 fields. Observations were conducted with…
J-PLUS: The planetary nebula population of M 33
Giovanna Liberato, Denise R. Gonçalves, Arianna Cortesi +21
In this pilot study, we investigate the PN population in M~33, a nearby spiral galaxy (~kpc), using data from the DR3 of the Javalambre-Photometric Local Universe Surve…
Stellar atmospheric parameters and chemical abundances of about 5 million stars from S-PLUS multi-band photometry
C. E. Ferreira Lopes, L. A. Gutiérrez-Soto, V. S. Ferreira Alberice +30
Context. Spectroscopic surveys like APOGEE, GALAH, and LAMOST have significantly advanced our understanding of the Milky Way by providing extensive stellar parameters and chemical…
The Fourth S-PLUS Data Release: 12-filter photometry covering square degrees in the southern hemisphere
Fabio R. Herpich, Felipe Almeida-Fernandes, Gustavo B. Oliveira Schwarz +68
The Southern Photometric Local Universe Survey (S-PLUS) is a project to map sq deg of the sky using twelve bands (seven narrow and five broadbands). Observations are per…
J-PLUS: Tools to identify compact planetary nebulae in the Javalambre and southern photometric local universe surveys
L. A. Gutiérrez-Soto, D. R. Gonçalves, S. Akras +28
From the approximately 3,500 planetary nebulae (PNe) discovered in our Galaxy, only 14 are known to be members of the Galactic halo. Nevertheless, a systematic search for hal…
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…