@Article{ReisRPSMMVDCMPD:2019:ReQuAn,
               author = "Reis, Barbara Maximino da Fonseca and Rodr{\'{\i}}guez 
                         G{\'o}mez, Jenny Marcela and Pinto, Tereza Stiko Nishida and 
                         Stekel, Tardelli Ronan Coelho and Magrini, Luciano Aparecido and 
                         Mendes, Odim and Vieira, Luis Eduardo Antunes and Dal Lago, 
                         Alisson and Cecatto, Jos{\'e} Roberto and Macau, Elbert Einstein 
                         Nehrer and Palacios, J. and Domingues, Margarete Oliveira",
          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 {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Leibniz-Institut 
                         f{\"u}r Sonnenphysik (KIS)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Recurrence quantification analysis with wavelet denoising and the 
                         characterization of magnetic flux emergence regions in solar 
                         photosphere",
              journal = "Physical Review E",
                 year = "2019",
               volume = "100",
               number = "1",
                pages = "e012217",
                month = "July",
             abstract = "Solar systems complexity, multiscale, and nonlinearity are 
                         governed by numerous and continuous changes where the sun magnetic 
                         fields can successfully represent many of these phenomena. Thus, 
                         nonlinear tools to study these challenging systems are required. 
                         The dynamic system recurrence approach has been successfully used 
                         to deal with this kind challenge in many scientific areas, 
                         objectively improving the recognition of state changes, 
                         randomness, and degrees of complexity that are not easily 
                         identified by traditional techniques. In this work we introduce 
                         the use of these techniques in photospheric magnetogram series. We 
                         employ a combination of recurrence quantification analysis with a 
                         preprocessing denoising wavelet analysis to characterize the 
                         complexity of the magnetic flux emergence in the solar 
                         photosphere. In particular, with the developed approach, we 
                         identify regions of evolving magnetic flux and where they present 
                         a large degree of complexity, i.e., where predictability is low, 
                         intermittence is high, and low organization is present.",
                  doi = "10.1103/PhysRevE.100.012217",
                  url = "http://dx.doi.org/10.1103/PhysRevE.100.012217",
                 issn = "1539-3755",
           targetfile = "reis_recurrence.pdf",
        urlaccessdate = "06 maio 2024"
}