Gradient pattern analysis applied to galaxy morphology

Author(s)

Rosa, R. R. ^[1] ; de Carvalho, R. R. ^[2] ; Sautter, R. A. ^[1] ; Barchi, P. H. ^[1] ; Stalder, D. H. ^{[1, 3]} ; Moura, T. C. ^[2] ; Rembold, S. B. ^[4] ; Morell, D. R. F. ^[5] ; Ferreira, N. C. ^[1]

Affiliation

^[1] Natl Inst Space Res INPE, Lab Comp & Appl Math, BR-12245970 Sao Jose Dos Campos - Brazil

^[2] Natl Inst Space Res INPE, Astrophys Div, BR-12245970 Sao Jose Dos Campos - Brazil

^[3] NIDTEC FP UNA, San Lorenzo 2169000 - Paraguay

^[4] Univ Fed Santa Maria, Dept Fis, CCNE, BR-97105900 Santa Maria, RS - Brazil

^[5] Univ Estadual Santa Cruz, DCET, BR-45662900 Ilheus - Brazil

• Document type: Journal article
• Source: Monthly Notices of the Royal Astronomical Society; v. 477, n. 1, p. L101-L105, JUN 2018.
• Web of Science Citations: 0

Abstract

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 catalogue. The results suggest that the second gradient moment, G(2), has the potential to dramatically improve over more conventional morphometric parameters. It separates early-from late-type galaxies better (similar to 90 per cent) than the CAS system (C similar to 79 per cent, A similar to 50 per cent, S similar to 43 per cent) and a benchmark test shows that it is applicable to hundreds of thousands of galaxies using typical processing systems. (AU)

• FAPESP's process: 14/11156-4 - What drives the stellar mass growth of Early-Type galaxies? Born or made: the saga continues
• Grantee: Reinaldo Ramos de Carvalho
• Support type: Research Projects - Thematic Grants