activity
19982021
most citedObservations of the first electromagnetic counterpart to a gravitational wave source by the TOROS collaboration

140 citations · 642 across the 27 of their papers we have counts for

collaborators

27 papers

astro-ph.GA2021★ 34 cited

The miniJPAS survey: the photometric redshift catalogue

A. Hernán-Caballero, J. Varela, C. López-Sanjuan +30

MiniJPAS is a ~1 deg^2 imaging survey of the AEGIS field in 60 bands, performed to demonstrate the scientific potential of the upcoming JPAS survey. Full coverage of the 3800-9100…

astro-ph.GA2021

Pixel color-magnitude diagrams of galaxies in the Fornax cluster using S-PLUS images

C. G. Escudero, A. V. Smith Castelli, F. R. Faifer +4

Galaxy clusters are the largest gravitationally bound systems in the Universe and, as such, play an important role in cosmological studies. An important resource for studying their…

astro-ph.GA2021

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…

astro-ph.GA2021★ 44 cited

The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system

R. M. González Delgado, L. A. Díaz-García, A. de Amorim +39

J-PAS will soon start imaging 8000 deg2 of the northern sky with its unique set of 56 filters (R 60). Before, we observed 1 deg2 on the AEGIS field with an interim camera wi…

astro-ph.GA2019★ 11 cited

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…

astro-ph.GA2019★ 16 cited

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…