CHARACTERIZING COMPLEXITY IN SOLAR MAGNETOGRAM DATA USING A WAVELET-BASED SEGMENTATION METHOD
| Autor: | Linda Fennell, Alain Arneodo, Andre Khalil, Peter T. Gallagher, R. T. James McAteer, Paul A. Conlon, Pierre Kestener |
|---|---|
| Přispěvatelé: | Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, CHU Tenon [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Trinity College Dublin, Laboratoire de Physique de l'ENS Lyon (Phys-ENS), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon |
| Rok vydání: | 2010 |
| Předmět: |
Physics
[PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph] FOS: Physical sciences Wavelet transform Astronomy and Astrophysics Image processing Astrophysics Multifractal system 01 natural sciences Wavelet Fractal Astrophysics - Solar and Stellar Astrophysics Magnetogram Space and Planetary Science 0103 physical sciences Exponent Astrophysics::Solar and Stellar Astrophysics Statistical physics 010306 general physics Singularity spectrum 010303 astronomy & astrophysics ComputingMilieux_MISCELLANEOUS Solar and Stellar Astrophysics (astro-ph.SR) |
| Zdroj: | The Astrophysical Journal The Astrophysical Journal, 2010, 717 (2), pp.995-1005. ⟨10.1088/0004-637x/717/2/995⟩ The Astrophysical Journal, American Astronomical Society, 2010, 717 (2), pp.995-1005. ⟨10.1088/0004-637x/717/2/995⟩ |
| ISSN: | 1538-4357 0004-637X |
| Popis: | The multifractal nature of solar photospheric magnetic structures are studied using the 2D wavelet transform modulus maxima (WTMM) method. This relies on computing partition functions from the wavelet transform skeleton defined by the WTMM method. This skeleton provides an adaptive space-scale partition of the fractal distribution under study, from which one can extract the multifractal singularity spectrum. We describe the implementation of a multiscale image processing segmentation procedure based on the partitioning of the WT skeleton which allows the disentangling of the information concerning the multifractal properties of active regions from the surrounding quiet-Sun field. The quiet Sun exhibits a average H\"older exponent $\sim -0.75$, with observed multifractal properties due to the supergranular structure. On the other hand, active region multifractal spectra exhibit an average H\"older exponent $\sim 0.38$ similar to those found when studying experimental data from turbulent flows. Comment: accepted for publication in ApJ |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|