Recurrence quantification analysis with wavelet denoising and the characterization of magnetic flux emergence regions in solar photosphere

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Reis, B. M. F. ; Rodriguez Gomez, J. M. ; Pinto, T. S. N. ; Stekel, T. R. C. ; Magrini, L. A. ; Mendes, O. ; Vieira, L. E. A. ; Dal Lago, A. ; Cecatto, J. R. ; Macau, E. E. N. ; Palacios, J. ; Domingues, M. O.

• Tipo de documento: Artigo Científico
• Fonte: Physical Review E; v. 100, n. 1, p. 8-pg., 2019-07-29.

Resumo

Solar systems complexity, multiscale, and nonlinearity are governed by numerous and continuous changes where the sun magnetic fields can successfully represent many of these phenomena. Thus, nonlinear tools to study these challenging systems are required. The dynamic system recurrence approach has been successfully used to deal with this kind challenge in many scientific areas, objectively improving the recognition of state changes, randomness, and degrees of complexity that are not easily identified by traditional techniques. In this work we introduce the use of these techniques in photospheric magnetogram series. We employ a combination of recurrence quantification analysis with a preprocessing denoising wavelet analysis to characterize the complexity of the magnetic flux emergence in the solar photosphere. In particular, with the developed approach, we identify regions of evolving magnetic flux and where they present a large degree of complexity, i.e., where predictability is low, intermittence is high, and low organization is present. (AU)

• Processo FAPESP: 15/25624-2 - Desenvolvimento de modelagem multiescala para instabilidades locais não-lineares em Astrofísica e Geofísica Espacial
• Beneficiário: Margarete Oliveira Domingues
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 15/50122-0 - Fenômenos dinâmicos em redes complexas: fundamentos e aplicações
• Beneficiário: Elbert Einstein Nehrer Macau
• Modalidade de apoio: Auxílio à Pesquisa - Temático