11 citations · 11 across the 1 of their papers we have counts for
3 papers
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…
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)…