@InProceedings{ArantesFoGuim:2017:SuAnSp,
               author = "Arantes Filho, Lu{\'{\i}}s Ricardo and Guimar{\~a}es, Lamartine 
                         Nogueira Frutuoso",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Supernovae Analysis and Spectral Classification by Fuzzy Systems",
            booktitle = "Anais...",
                 year = "2017",
         organization = "Workshop dos Cursos de Computa{\c{c}}{\~a}o Aplicada do INPE, 
                         17. (WORCAP)",
             keywords = "Supernovae Ia, Classification, Automatic System, Fuzzy Logic, 
                         Spectral and Signal Analysis.",
             abstract = "Supernovae are extreme events characterized as large-scale 
                         explosions that occur in stars that have reached their final 
                         evolution cycle. These explosions are defined by the core collapse 
                         of a star or by the trigger of a thermonuclear reaction in a 
                         binary system composed of stars in the state of white dwarf and 
                         red giant. The classification of this phenomenon is not trivial 
                         and is conditioned to the expertise of an astronomer who, in a 
                         short range scenario, evaluates the main features of the optical 
                         spectrum observing the absorption and emission of certain chemical 
                         elements. The importance of the phenomenon classification lies in 
                         the applications related to the measurement of astronomical 
                         distances, for the observational cosmology field, in studies of 
                         the universe expansion. These features are related to the 
                         thermonuclear supernovae, denominated Supernovae Ia. In this way, 
                         this work presents an automatic system, able to perform the 
                         spectral analysis processing without the interference of a 
                         specialist. The proposed system called Fuzzy System Appraiser of 
                         Supernovae SUZAN, from the Portuguese Language Sistema fUZzy 
                         Avaliador de superNovas. This system is based on the fuzzy logic 
                         paradigm models a human specialist performing a spectral analysis. 
                         This modeling is made through a set of fuzzy rules which simulate 
                         the knowledge to define the main components and characteristics of 
                         the supernovae spectrum, such as the qualities of spectral lines 
                         and the chemical composition of the stars. As initial results 
                         about 4341 spectra of 809 supernovae of various types were 
                         classified reaching a 97.0% score of supernovae Ia (thermonuclear) 
                         identification, in the period next to the maximum brightness. The 
                         fuzzy modeling built in SUZAN allows the applicability of spectral 
                         and signal analysis to other phenomena, provided that the rules 
                         for the formation of these phenomena are established.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP",
      conference-year = "20-22 nov. 2017",
             language = "en",
           targetfile = "Arantes filho_supernovae.pdf",
        urlaccessdate = "20 maio 2024"
}