@Article{RosaCSBSMRMF:2018:GrPaAn,
author = "Rosa, Reinaldo Roberto and Carvalho, Reinaldo Ramos de and
Sautter, Rubens Andreas and Barchi, Paulo Henrique and Stalder, D.
H. and Moura, T. D. and Rembold, S. B. and Morell, D. R. F. and
Ferreira, N. C.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and NIDTEC/FP-UNA and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidade Federal de Santa
Maria (UFSM)} and {Universidade Estadual de Santa Cruz} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Gradient pattern analysis applied to galaxy morphology",
journal = "Monthly Notices of the Royal Astronomical Society Letters",
year = "2018",
volume = "477",
pages = "L101--L105",
keywords = "methods: data analysis – galaxies: general.",
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, G2, has the potential to dramatically improve
over more conventional morphometric parameters. It separates
early- from late-type galaxies better (\∼90 per cent) than
the CAS system (C \∼ 79 per cent, A \∼ 50 per cent,
S \∼ 43 per cent ) and a benchmark test shows that it is
applicable to hundreds of thousands of galaxies using typical
processing systems.",
doi = "10.1093/mnrasl/sly054",
url = "http://dx.doi.org/10.1093/mnrasl/sly054",
issn = "1745-3925",
language = "en",
targetfile = "rosa_gradient.pdf",
urlaccessdate = "27 abr. 2024"
}