Analysing Turbulent Energy Cascade in a Coronal Mass Ejection using Empirical Mode Decomposition
Akanksha Dagore, Giuseppe Prete, Vincenzo Capparelli, Vincenzo Carbone, Fabio Lepreti

TL;DR
This study uses empirical mode decomposition and Hilbert spectral analysis to analyze turbulence in different regions of a coronal mass ejection, revealing how turbulence characteristics change during the event.
Contribution
It introduces a novel application of EMD and HSA to investigate turbulence in ICMEs, providing detailed spectral analysis across different regions of the event.
Findings
Preceding solar wind exhibits Kolmogorov-like turbulence.
Steepening of spectral slopes occurs in sheath and trailing solar wind.
Magnetic cloud shows less steep spectral slope, indicating different turbulence dynamics.
Abstract
Coronal mass ejections (CMEs) are large-scale expulsions of plasma and magnetic flux from the Sun's corona into the heliosphere. In interplanetary space they are referred to as interplanetary CMEs (ICMEs), often characterised by a shock, a sheath, and in some cases a magnetic cloud, and are capable of triggering geomagnetic storms. We apply empirical mode decomposition (EMD) in conjunction with Hilbert spectral analysis (HSA) to investigate turbulence characteristics at different stages of an ICME event observed on 27 June 2013 by the MAG instrument onboard NASA's ACE spacecraft. The event is divided into four regions: (i) preceding solar wind, (ii) sheath, (iii) magnetic cloud, and (iv) trailing solar wind. The magnetic field components (Bx, By, Bz) are decomposed into intrinsic mode functions using EMD, and instantaneous frequencies and amplitudes are derived via HSA. Spectral slopes…
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