@InProceedings{JoshiRosaStep:2016:AnIoPl,
               author = "Joshi, Neelakshi and Rosa, Reinaldo Roberto and Stephany, 
                         Stephan",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Analysis of ionospheric plasma irregularities using multi-fractal 
                         detrended fluctuation analysis technique",
                 year = "2016",
         organization = "Workshop de Computa{\c{c}}{\~a}o Aplicada, 16. (WORCAP)",
             abstract = "Plasma density irregularities occurring in the upper ionosphere 
                         are common in low latitude region and cover wide range of scales 
                         from few meters to hundreds of kilometers. These has been studied 
                         from many decades owing to their importance in communications as 
                         radio signals are distorted in amplitude causing loss of important 
                         information. By analogy with fluid turbulence, ionospheric plasma 
                         turbulence associated to equatorial plasma bubbles can be 
                         described by power laws and some information regarding their 
                         generation mechanism may be inferred from the slopes of the power 
                         spectra. Different data analysis techniques have been used to 
                         study ionospheric data and results show deviations from K41 theory 
                         for homogeneous turbulence. Mandelbrot surmised that turbulent 
                         dissipation can be modeled by a fractal and that part of fractal 
                         analysis of turbulence can be seen as the geometric counterpart of 
                         the analytic analysis of correlations and spectra. Detrended 
                         Fluctuation Analysis (DFA) technique is being recently used on in 
                         situ ionospheric measurements and results show a wide range of 
                         spectral index variations indicating lack of universality of 
                         class, which can be probably attributed to the non-homogeneity in 
                         energy cascade. In this work, we propose to use Multi-Fractal DFA 
                         (MFDFA) technique on in situ ionospheric data to try to analyze 
                         non-homogeneity in the energy cascade. In addition, it may also 
                         help in inferring the nature of turbulence ie whether it is 
                         hydrodynamic or more complex.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP",
      conference-year = "25-26 out.",
           targetfile = "joshi_analysis.pdf",
        urlaccessdate = "21 maio 2024"
}