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@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 = "26 nov. 2020"
}


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