@Article{BerdichevskyRodrVieiDalL:2022:VaNoMo,
               author = "Berdichevsky, Daniel B. and Rodriguez G{\'o}mez, Jenny M. and 
                         Vieira, Lu{\'{\i}}s Eduardo Antunes and Dal Lago, Alisson",
          affiliation = "{College Park} and {The Catholic University of America} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Validation of Novel Model for Identification of Thermal Conditions 
                         in the Low Corona",
              journal = "Advances in Aerospace Science and Technology",
                 year = "2022",
               volume = "07",
               number = "01",
                pages = "52--84",
             keywords = "Solar Corona, Electron Density, Temperature.",
             abstract = "The electron density and temperature key properties of the 
                         neutral-magnetized plasma in the solar corona, which are predicted 
                         with a novel model, provide an interesting window along the whole 
                         solar cycle. In this work, we test the quantitative validity of 
                         the model and prove that the Coronal Density and Temperature 
                         (CODET) is reliable. Furthermore, this work contrasts the CODET 
                         model results with alternative observational remote and in-situ 
                         datasets during the simplest conditions of the quiescent corona 
                         near the solar minimum. This successful outcome/validation of the 
                         CODET model allowed a good qualitative density and temperature 
                         retrieval in the solar corona covering a large portion of time 
                         interval from solar cycles 23 and 24.",
                  doi = "10.4236/aast.2022.71004",
                  url = "http://dx.doi.org/10.4236/aast.2022.71004",
                 issn = "2473-6724",
                label = "lattes: 2768849231719678 4 
                         BerdichevskyG{\'o}meVieiLago:2022:VaNoMo",
             language = "pt",
           targetfile = "aast_2022032513364416.pdf",
        urlaccessdate = "29 jun. 2024"
}