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arxiv: 1803.10853 · v1 · pith:SUC24QT2new · submitted 2018-03-28 · 🌌 astro-ph.GA · astro-ph.CO

Gradient Pattern Analysis Applied to Galaxy Morphology

Reinaldo. R. Rosa , Reinaldo. R. de Carvalho , Rubens. A. Sautter , Paulo. H. Barchi , Diego. H. Stalder , Tatiana. C. Moura , Sandro. B. Rembold , Dailer. R. F. Morell
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N. C. Ferreira
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classification 🌌 astro-ph.GA astro-ph.CO
keywords gradientgalaxyanalysisgalaxiespatternapplicableappliedasymmetries
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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.

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