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Reis BMF, Gómez JMR, Pinto TSN, et al. Recurrence quantification analysis with wavelet denoising and the characterization of magnetic flux emergence regions in solar photosphere. Phys Rev E. 2019;100(1):012217doi: 10.1103/PhysRevE.100.012217.
Reis, B. M. F., Gómez, J. M. R., 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. (2019). Recurrence quantification analysis with wavelet denoising and the characterization of magnetic flux emergence regions in solar photosphere. Physical review. E, 100(1), 012217. https://doi.org/10.1103/PhysRevE.100.012217
Reis, B M F, et al. "Recurrence quantification analysis with wavelet denoising and the characterization of magnetic flux emergence regions in solar photosphere." Physical review. E vol. 100,1 (2019): 012217. doi: https://doi.org/10.1103/PhysRevE.100.012217
Reis BMF, Gómez JMR, Pinto TSN, Stekel TRC, Magrini LA, Mendes O, Vieira LEA, Dal Lago A, Cecatto JR, Macau EEN, Palacios J, Domingues MO. Recurrence quantification analysis with wavelet denoising and the characterization of magnetic flux emergence regions in solar photosphere. Phys Rev E. 2019 Jul;100(1):012217. doi: 10.1103/PhysRevE.100.012217. PMID: 31499878.
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Phys Rev E. 2019 Jul;100(1):012217. doi: 10.1103/PhysRevE.100.012217.

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

Physical review. E

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

Affiliations

  1. National Institute for Space Research, São José dos Campos, São Paulo 12227-010, Brazil.
  2. National Institute for Space Research, São José dos Campos, São Paulo 12227-010, Brazil and Federal University of São Paulo, São José dos Campos, São Paulo 12247-014, Brazil.
  3. Leibniz-Institut für Sonnenphysik (KIS), Freiburg im Breisgau, 79104, Germany.

PMID: 31499878 DOI: 10.1103/PhysRevE.100.012217

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.

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