@Article{Ojeda-GonzalezMeCaDoPrKl:2017:AlMeId,
               author = "Ojeda-Gonzalez, A. and Mendes J{\'u}nior, Odim and Calzadilla, A. 
                         and Domingues, Margarete Oliveira and Prestes, A. and Klausner, 
                         V.",
          affiliation = "{Universidade do Vale do Para{\'{\i}}ba (UNIVAP)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Institute of 
                         Geophysics and Astronomy} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Universidade do Vale do Para{\'{\i}}ba 
                         (UNIVAP)} and {Universidade do Vale do Para{\'{\i}}ba 
                         (UNIVAP)}",
                title = "An alternative method for identifying interplanetary magnetic 
                         cloud regions",
              journal = "The Astrophysical Journal",
                 year = "2017",
               volume = "837",
               number = "2",
                month = "Mar.",
             keywords = "methods: data analysis, solar, terrestrial relations, solar wind, 
                         Sun: coronal mass ejections (CMEs), Sun: magnetic fields.",
             abstract = "Spatio-temporal entropy (STE) analysis is used as an alternative 
                         mathematical tool to identify possible magnetic cloud (MC) 
                         candidates. We analyze Interplanetary Magnetic Field (IMF) data 
                         using a time interval of only 10 days. We select a convenient data 
                         interval of 2500 records moving forward by 200 record steps until 
                         the end of the time series. For every data segment, the STE is 
                         calculated at each step. During an MC event, the STE reaches 
                         values close to zero. This extremely low value of STE is due to MC 
                         structure features. However, not all of the magnetic components in 
                         MCs have STE values close to zero at the same time. For this 
                         reason, we create a standardization index (the so-called 
                         Interplanetary Entropy, IE, index). This index is a worthwhile 
                         effort to develop new tools to help diagnose ICME structures. The 
                         IE was calculated using a time window of one year (1999), and it 
                         has a success rate of 70% over other identifiers of MCs. The 
                         unsuccessful cases (30%) are caused by small and weak MCs. The 
                         results show that the IE methodology identified 9 of 13 MCs, and 
                         emitted nine false alarm cases. In 1999, a total of 788 windows of 
                         2500 values existed, meaning that the percentage of false alarms 
                         was 1.14%, which can be considered a good result. In addition, 
                         four time windows, each of 10 days, are studied, where the IE 
                         method was effective in finding MC candidates. As a novel result, 
                         two new MCs are identified in these time windows.",
                  doi = "10.3847/1538-4357/aa6034",
                  url = "http://dx.doi.org/10.3847/1538-4357/aa6034",
                 issn = "0004-637X",
             language = "en",
           targetfile = "ojeda_alternative.pdf",
        urlaccessdate = "27 abr. 2024"
}