93 citations · 175 across the 6 of their papers we have counts for
6 papers
SAGUI: SED-based Segmentation of Multi-band Galaxy Images -- Application to JADES in GOODS-South
Rafael S. de Souza, Andressa Wille, Shravya Shenoy +11
We present sagui, a modular framework for the analysis of multi-band imaging data in spatially resolved galaxies, with synergies to integral-field spectroscopy (IFS). Building on t…
Unveiling Galaxy Morphology through an Unsupervised-Supervised Hybrid Approach
I. Kolesnikov, V. M. Sampaio, R. R. de Carvalho +4
Galaxy morphology offers significant insights into the evolutionary pathways and underlying physics of galaxies. As astronomical data grows with surveys such as Euclid and Vera C.…
Machine and Deep Learning Applied to Galaxy Morphology -- A Comparative Study
P. H. Barchi, R. R. de Carvalho, R. R. Rosa +7
Morphological classification is a key piece of information to define samples of galaxies aiming to study the large-scale structure of the universe. In essence, the challenge is to…
Gradient Pattern Analysis Applied to Galaxy Morphology
Reinaldo. R. Rosa, Reinaldo. R. de Carvalho, Rubens. A. Sautter +6
Gradient pattern analysis (GPA) is a well-established technique for measuring gradient bilateral asymmetries of a square numerical lattice. This paper introduces an improved versio…
Investigating the Relation between Galaxy Properties and the Gaussianity of the Velocity Distribution of Groups and Clusters
R. R. de Carvalho, A. L. B. Ribeiro, D. Stalder +3
We investigate the dependence of stellar population properties of galaxies on group dynamical stage for a subsample of Yang catalog. We classify groups according to their galaxy ve…
Improving galaxy morphology with machine learning
P. H. Barchi, F. G. da Costa, R. Sautter +4
This paper presents machine learning experiments performed over results of galaxy classification into elliptical (E) and spiral (S) with morphological parameters: concetration (CN)…