15 citations · 38 across the 5 of their papers we have counts for
5 papers
An Extended Catalogue of galaxy morphology using Deep Learning in Southern Photometric Local Universe Survey Data Release 3
C. R. Bom, A. Cortesi, U. Ribeiro +22
The morphological diversity of galaxies is a relevant probe of galaxy evolution and cosmological structure formation. However, in large sky surveys, even the morphological classifi…
Developing a Victorious Strategy to the Second Strong Gravitational Lensing Data Challenge
C. R. Bom, B. M. O. Fraga, L. O. Dias +7
Strong Lensing is a powerful probe of the matter distribution in galaxies and clusters and a relevant tool for cosmography. Analyses of strong gravitational lenses with Deep Learni…
Deep Learning Assessment of galaxy morphology in S-PLUS DataRelease 1
C. R. Bom, A. Cortesi, G. Lucatelli +14
The morphological diversity of galaxies is a relevant probe of galaxy evolution and cosmological structure formation, but the classification of galaxies in large sky surveys is bec…
S-PLUS: LEnticular Galaxies in Stripe 82
A. Cortesi, K. Saha, F. Ferrari +5
This work is a Brazilian-Indian collaboration. It aims at investigating the structuralproperties of Lenticular galaxies in the Stripe 82 using a combination of S-PLUS (Southern Pho…
Deep Learning in Wide-field Surveys: Fast Analysis of Strong Lenses in Ground-based Cosmic Experiments
Clecio Bom, Jason Poh, Brian Nord +2
Searches and analyses of strong gravitational lenses are challenging due to the rarity and image complexity of these astronomical objects. Next-generation surveys (both ground- and…