Gradient pattern analysis (GPA) is a well-established technique for measuring gradient bilateral asymmetries of a square numerical lattice. This paper introduces an improved version of GPA designed for galaxy morphometry. We show the performance of the new method on a selected sample of 54,896 objects from the SDSS-DR7 in common with Galaxy Zoo 1 catalog. The results suggest that the second gradient moment, G2, has the potential to dramatically improve over more conventional morphometric parameters. It separates early from late type galaxies better (\sim 90\%) than the CAS system (C \sim 79\%, A \sim 50\%, S \sim 43\%) and a benchmark test shows that it is applicable to hundreds of thousands of galaxies using typical processing systems.
@article{arxiv.1803.10853,
title = {Gradient Pattern Analysis Applied to Galaxy Morphology},
author = {Reinaldo. R. Rosa and Reinaldo. R. de Carvalho and Rubens. A. Sautter and Paulo. H. Barchi and Diego. H. Stalder and Tatiana. C. Moura and Sandro. B. Rembold and Dailer. R. F. Morell and N. C. Ferreira},
journal= {arXiv preprint arXiv:1803.10853},
year = {2018}
}
Comments
5 pages, 4 figures. Accepted for publication in MNRAS