Modeling Statistical Properties of Solar Active Regions through DNS of 3D-MHD Turbulence
Shiva Kumar. Malapaka, Wolf-Christian Mueller

TL;DR
This paper uses DNS of 3D-MHD turbulence to model and compare the statistical properties of solar active regions, revealing their turbulent nature and the transition from forced to decaying turbulence during flares.
Contribution
It demonstrates that DNS of 3D-MHD turbulence can replicate observed statistical properties of solar active regions and links flare phases to turbulence states.
Findings
DNS replicates AR statistical properties
Intermittency trends match observations
Flaring stages correspond to different turbulence regimes
Abstract
Statistical properties of the Sun's photospheric turbulent magnetic field, especially those of the Active Regions (ARs), have been studied using the line-of-sight data from magnetograms taken by SOHO and several other instruments (see e.g. Abramenko et al (2002, 2003),Abramenko and Yurchyshyn (2010)). This includes structure functions and their exponents, flatness curves and correlation functions. In these works, the dependence of structure function exponents () of the order of the structure functions () was modeled using a non-intermittent K41 model. It is now well known that the ARs are highly turbulent and are associated with strong intermittent events. In this paper we compare some of the observations from Abramenko et al (2003) with the log-Poisson model (Biskamp 2003) used for modeling intermittent MHD turbulent flows. Next, we analyze the structure function data…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Stellar, planetary, and galactic studies
