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@InProceedings{MedeirosSSVASKKB:2017:UsNeNe,
               author = "Medeiros, Cl{\'a}udia and Sibeck, David G. and Souza, Vitor Moura 
                         Cardoso e Silva and Vieira, Lu{\'{\i}}s Eduardo Antunes and 
                         Alves, Livia Ribeiro and Silva, Ligia Alves da and Kanekal, 
                         Shrikanth G. and Kanekal, Shrikanth G. and Baker, Daniel N.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {NASA GSFC} 
                         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 Heliophysics Laboratory, NASA 
                         Goddard Space Flight Center and Heliophysics Laboratory, NASA 
                         Goddard Space Flight Center and LASP",
                title = "Using neural network approach to find unusal butterfly pitch angle 
                         distribution shapes",
            booktitle = "Proceedings...",
                 year = "2017",
         organization = "AGU Fall Meeting",
             abstract = "A special kind of neural network referred to as a Self-Organizing 
                         Map (SOM) was previously adopted to identify, in pitch 
                         angle-resolved relativistic electron flux data provided by the 
                         REPT instrument onboard the Van Allen Probes, three major types of 
                         electron pitch angle distributions (PADs), namely 90o-peaked, 
                         butterfly and flattop (Souza et al., 2016), following the 
                         classification scheme employed by Gannon et al. (2007). Previous 
                         studies show that butterfly distribution can be found in more than 
                         one shape. They usually exhibit an intense decrease near 90 pitch 
                         angles compared to the peaks usually around 30 and 150. 
                         Sometimes unusual butterfly PAD shapes with peaks near 45 and 
                         135 pitch angles can be observed. These could be correlated with 
                         different physical processes that govern the production and loss 
                         of energetic particles in the Van Allen radiation belt. A neural 
                         network approach allows the distinction of different kinds of 
                         butterfly PADs which were not analyzed in detail by Souza et al. 
                         (2016). This study uses SOM methodology to find these unusual 
                         butterfly PAD shape during the interval between January 1, 2014 
                         and October 1, 2015, during which Van Allen Probes orbit covered 
                         all MLT. The spatial and temporal occurrence of these events were 
                         investigated as well as their solar wind and magnetospheric 
                         drivers.",
  conference-location = "New Orleans",
      conference-year = "11-15 Dec.",
             language = "en",
        urlaccessdate = "02 dez. 2020"
}


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