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

Author(s):Show less -

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.

• Document type: Journal article
• Source: Physical Review E; v. 100, n. 1, p. 8-pg., 2019-07-29.

Abstract

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)

• FAPESP's process: 15/25624-2 - Development of multiscale modelling for non-linear local plasma instabilities of Astrophysics and Space Geophysics
• Grantee: Margarete Oliveira Domingues
• Support Opportunities: Regular Research Grants
• FAPESP's process: 15/50122-0 - Dynamic phenomena in complex networks: basics and applications
• Grantee: Elbert Einstein Nehrer Macau
• Support Opportunities: Research Projects - Thematic Grants